Academic output
Publication ( * stands for corresponding author )
— 2025 —
Fu, Y., Teng Fei*, Huang, W., Ge, X., Yi, J., Sun, Y., … Du, Y. (2025). Unraveling environmental risk awareness in China over four decades from mass media and academic archives. International Journal of Geographical Information Science, 1–26. https://doi.org/10.1080/13658816.2024.2437054
— 2024 —
Zhuang, Y., Kang, Y.*, Teng Fei*, Bian, M., & Du, Y. (2024). From hearing to seeing: Linking auditory and visual place perceptions with soundscape-to-image generative artificial intelligence. Computers, Environment and Urban Systems, 110, 102122.[Street View Big Data]研究漫谈
费腾*,付康钰,卞萌,杨妙龄 (2024) 基于情绪计算的GIS硕士面试成绩预测 (Predicting Interview Scores for the Master of Science in Geographic Information Based on Emotional Computing) ,地理空间信息,2024,22(4):128-132. doi:10.3969/i.isn.1672-4623.2024.04.031 [Emotion Computing][Teaching Paper]研究漫谈
李阳春;戴丹凤;付康钰;费腾*, (2025). 空间拓扑关系的听觉显示初探J . 地球信息科学学报, accepted
— 2023 —
Jing Huang, Teng Fei*, Yuhao Kang, Jun Li, Ziyu Liu & Guofeng Wu (2023) Estimating urban noise along road network from street view imagery, International Journal of Geographical Information Science, DOI: 10.1080/13658816.2023.2274475 [Street View Big Data]研究漫谈
Yinghao Sun, Teng Fei*, Yonghong Zheng*, Yonggai Zhuang, Lingjun Wang & Meng Bian (2023) Improving signal strength of tree rings for paleoclimate reconstruction by micro-hyperspectral imaging, Geo-spatial Information Science, DOI: 10.1080/10095020.2023.2264913 [Ecological Remote Sensing]研究漫谈
费腾,曾卓源,卞萌*.基于学生情绪计算的个性化慕课教学进度功能设计与实现J .测绘通报,2023(S02):45-50 [Teaching Paper]
Zhang S, Fei T.*, Chen, Y., Yang, J., Qu, R., Xu, J., Xiao, X., Cheng, X., Hu, Z., Zheng, X., Zhao, D., (2023). Identifying cadmium and lead co-accumulation from living rice blade spectrum. Environmental Pollution 338, 122618. https://doi.org/10.1016/j.envpol.2023.122618 [Ecological Remote Sensing]研究漫谈
Luo, J., Fei T.*, Tian, M. et al. Sensitivity metrics of complex network based on co-occurrence truth table: exemplified by a high-speed rail network. Journal of Geographical System (2023). https://doi.org/10.1007/s10109-023-00419-8 [Complex Network]研究漫谈
万江琴,费腾* (2023). 基于街景图像的“三生空间”识别方法研究 (Research on the Recognition Method of “Sansheng Space” Based on Street View Images)[J].地球信息科学学报,25(4):838-851. DOI:10.12082/dqxxkx.2023.220534 [Street View Big Data]
Jiao D, Fei T.* (2023). Pedestrian walking speed monitoring at street scale by an in-flight drone. PeerJ Computer Science 9: e1226 DOI 10.7717/peerj-cs.1226 [Urban Remote Sensing]
— 2022 —
L. Wang, T. Fei*, M. Bian, Y. Xu, H. Zhang, Y. Zheng*, H. Zhu, (2022). Response of microscopical hyperspectral data to past climatic variable, Theoretical and Applied Climatology. https://doi.org/10.1007/s00704-022-04219-w.[Paleoclimatology]
Q. Wang, Duojizhuoma, C. Feng, T. Fei, H. Ma, S. Wang, Cirenwangla, T. Yang, H. Ling, B. Ma, W. Yu, H. Liu, J. Zhou, X. Zhao, P. Jia, S. Yang, (2022). Associations and pathways between residential greenness and hyperuricemia among adults in rural and urban China, Environmental Research. 114406. https://doi.org/10.1016/j.envres.2022.114406 [Health Geography]
Shuangyin Zhang, Teng Fei*, Yiyun Chen, Yongsheng Hong, (2022). Estimating cadmium-lead concentrations in rice blades through fractional order derivatives of foliar spectra, Biosystems Engineering, Volume 219, 2022, 177-188, https://doi.org/10.1016/j.biosystemseng.2022.04.023.[Ecological Remote Sensing]
Siying Wang, Teng Fei, Weifeng Li, Anqi Zhang, Huagui Guo & Yunyan Du*, (2022). Incorporation of intra-city human mobility into urban growth simulation: A case study in Beijing, J. Geogr. Sci. 32, 892 - 912, https://doi.org/10.1007/s11442-022-1977-6[Spatial Big Data]
Yuhao Kang, Kunlin Wu, Song Gao*, Ignavier Ng, Jinmeng Rao, Shan Ye, Fan Zhang & Teng Fei ,(2022), STICC: a multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity, International Journal of Geographical Information Science, DOI: 10.1080/13658816.2022.2053980 [Clustering Method]
Wang, L., Bie, W., Li, H., Liao, T., Ding, X., Wu, G., Fei, T.*, (2022). Small Water Body Detection and Water Quality Variations with Changing Human Activity Intensity in Wuhan. Remote Sensing 14, 22.[Ecological Remote Sensing]
游想, 张双印, 费腾*,用户标签揭示进出口量:基于标签共现的空间关联性分析J. 测绘地理信息, 2022, 47(3): 161-164. DOI:10.14188/j.2095-6045.2019405 [Urban Big Data]
— 2021 —
Yuan, D., Yu, B., Liang, S., Fei, T.*, Tang, H., Kang, R., Li, Y., Ye, L., Jia, P.*, Yang, S.*, 2022. HIV-1 genetic transmission networks among people living with HIV/AIDS in Sichuan, China: a genomic and spatial epidemiological analysis. The Lancet Regional Health - Western Pacific 18, 100318. https://doi.org/10.1016/j.lanwpc.2021.100318 [Health Geography]研究漫谈
Zhou C, Kang R, Liang S, Fei T, Li Y, Su L, Li L, Ye L, Zhang Y, Yuan D. Risk Factors of Drug Resistance and the Potential Risk of HIV-1 Transmission of Patients with ART Virological Failure: A Population-Based Study in Sichuan, China. Infect Drug Resist. 2021 Dec 7;14:5219-5233. doi: 10.2147/IDR.S334598. [Health Geography]
Ziyu Liu and Teng Fei*. (2021) Road PV production estimation at city scale: A predictive model towards feasible assessing regional energy generation from solar roads. Journal of Cleaner Production. 321:129010. https://doi.org/10.1016/j.jclepro.2021.129010 [Photovoltaic Capacity]
Kong W, Liao C, Xu Q, Wang J, Fei T*. (2021) An In-Depth Analysis of Parking Patterns in a Typical Chinese Danwei via Customized Data Collection App. ISPRS International Journal of Geo-Information. 10(8):567. https://doi.org/10.3390/ijgi10080567 [Campus Parking]研究漫谈
卞萌, 郭树毅, 王威, 欧阳昱晖*, 黄颖菁, 费腾.(2021) 融合植被遥感数据的北京市次日花粉浓度预测[J]. (Next-day Pollen Concentration Prediction in Beijing Based on Vegetation Remote Sensing Data) 地球信息科学学报, 23(9): 1705-1713.DOI:10.12082/dqxxkx.2021.200475 [Ecological Remote Sensing]
Li, Y., Fei, T.*, Wang, J.*, Nicholas, S., Li, J., Xu, L., et al. (2021). Influencing indicators and spatial variation of diabetes mellitus prevalence in Shandong, China: A framework for using data‐driven and spatial methods.GeoHealth, 5, e2020GH000320. https://doi.org/10.1029/2020GH000320 [Health Geography]研究漫谈
Jun Li, Jian Wang, Stephen Nicholas, Elizabeth Maitland, Teng Fei* (2021) Regional differences of hepatitis B discrimination in rural China, Human Vaccines and Immunotherapeutics, DOI: 10.1080/21645515.2020.1853999 [Health Geography]研究漫谈
Jia, Chen; Liu, Yuefeng; Du, Yunyan; Huang, Jianfeng, Fei, Teng*. (2021). “Evaluation of Urban Vibrancy and Its Relationship with the Economic Landscape: A Case Study of Beijing” ISPRS Int. J. Geo-Inf. 10, no. 2: 72. https://doi.org/10.3390/ijgi10020072 [Urban Vibrancy]
Kong, W., Fei, T.*, Jencks, T. (2021). Emotion and color in paintings: a novel temporal and spatial quantitative perspective.https://arxiv.org/abs/2102.00407 [Art History]研究漫谈
Yu X., T. Fei, X. Li*. (2021) Analyzing the association between emotions and socioeconomic characteristics of census tracts via user-generated content. Transactions in GIS. 2021; 00:1–16. https://doi.org/10.1111/tgis.12718 [Emotional Geography]研究漫谈
Zhang, S, T. Fei*, You, X, Wan, Y, Wang, Y, Bian, M.* Two hyperspectral indices for detecting cadmium and lead contamination from arice canopy spectrum. Land Degrad Dev. 2021; 1– 13. https://doi.org/10.1002/ldr.3721 [Ecological Remote Sensing]
Zhou, C., Kang, R., Liang, S., Fei, T., Li, Y., Su, L., Li, L., Ye, L., Zhang, Y., Yuan, D.*, 2021. Risk Factors of Drug Resistance and the Potential Risk of HIV-1 Transmission of Patients with ART Virological Failure: A Population-Based Study in Sichuan, China. IDR Volume 14, 5219–5233. https://doi.org/10.2147/IDR.S334598 [Health Geography]
— 2020 —
Huang, Y., Fei T.*, Kwan, M.-P., Kang, Y., Li, J., Li, Y., Li, X., Bian, M. (2020) GIS-Based Emotional Computing: A Review of Quantitative Approaches to Measure the Emotion Layer of Human–Environment Relationships. ISPRS Int. J. Geo-Inf. 2020, 9, 551. [Emotional Geography]
李响,杨飞,王丽娜,俞鑫楷,费腾,江南.网络空间地图制图方法研究综述J.测绘科学技术学报,2019,36(06):620-631.
Wanjuan Bie, Teng Fei*, Xinyu Liu, Huizeng Liu; Guofeng Wu (2020) Small water bodies mapped from Sentinel-2 MSI (MultiSpectral Imager) imagery with higher accuracy, International Journal of Remote Sensing, 41:20, 7912-7930, DOI: 10.1080/01431161.2020.1766150 [Ecological Remote Sensing]
蔡忠亮,翁敏,苏世亮,亢孟军,费腾,天晶,任福. ”地理素养与测绘技能“双驱动的GIS专业大学生创新能力培养模式的探索J.测绘通报,2020(8):148 - 152. DOI: 10.13474/j-enki.11-2246.2020.0268
Wang B., Fei T.*, Kang Y., Li M., Du Q.*, et al. (2020) Understanding the spatial dimension of natural language by measuring the spatial semantic similarity of words through a scalable geospatial context window. PLoS ONE 15 (7): e0236347. https://doi.org/10.1371/journal. pone.0236347 [Geographical Big Data]
S. Yang,X. Chen, L. Wang, T. Wu, T. Fei, Q. Xiao, G. Zhang, Y. Ning*, P.Jia*,(2020), Walkability indices and childhood obesity: A review of epidemiologic evidence,Obesity reviews, https://doi.org/10.1111/obr.13096 [Health Geography]
M.Luo, H.Li, X.Pan, T. Fei, S.Dai, G.Qiu, Y.Zou, H.Vos, J.Luo* and P.Jia*. (2020). Neighbourhood speed limit and childhood obesity. Obesity Reviews. 2020; 1– 11. https://doi.org/10.1111/obr.13052 [Health Geography]
Li, H., Jia, P.; Fei, T.*. (2020). Associations between taste preferences and chronic diseases: A population-based exploratory study in China. Public Health Nutrition, 1-12. doi:10.1017/S136898002000035X [Health Geography]研究漫谈
Yizhuo Li, T. Fei*, Y. Huang, J. Li, X. Li, F. Zhang, Y. Kang, G. Wu (2020). Emotional habitat: mapping the global geographic distribution of human emotion with physical environmental factors using a species distribution model, International Journal of Geographical Information Science, 35:2, 227-249, DOI: 10.1080/13658816.2020.1755040 [Emotional Geography][Emotional Geography]研究漫谈
Huang Yinjing, J. Li, G. Wu, T. Fei*, (2020). Quantifying the bias in place emotion extracted from photos on social networking sites: A case study on a university campus, Cities, DOI: https://doi.org/10.1016/j.cities.2020.102719 [Emotional Geography]研究漫谈
Wang, Jingmeng and Fei, Teng*, Does Listening to Pop Music Help Build English Vocabulary? (2020). Available at SSRN: https://ssrn.com/abstract=3543127 [For Fun]
Zhang, S.; Li, J.; Wang, S.; Huang, Y.; Li, Y.; Chen, Y.; Fei, T.* (2020). Rapid Identification and Prediction of Cadmium–Lead Cross-Stress of Different Stress Levels in Rice Canopy Based on Visible and Near-Infrared Spectroscopy. Remote Sensing, 2020, 12, 469. [Ecological Remote Sensing]研究漫谈
Xu, L.; Hong, Y.; Wei, Y.; Guo, L.; Shi, T.; Liu, Y.; Jiang, Q.; Fei, T.; Liu, Y.; Mouazen, A.M.; Chen, Y*.(2020) Estimation of Organic Carbon in Anthropogenic Soil by VIS-NIR Spectroscopy: Effect of Variable Selection. Remote Sens. 2020, 12, 3394. [Ecological Remote Sensing]
— 2019 —
Zhang S.Y, Y. Zhu,M. Wang 1, and T. Fei (2019). Selection of the Optimal Spectral Resolution for the Cadmium-Lead Cross Contamination Diagnosing Based on the Hyperspectral Reflectance of Rice Canopy, Sensors 2019, 19(18), 3889 [Ecological Remote Sensing]
李瀚祺,贾鹏,费腾* (2019). 基于众源数据挖掘的中国饮食口味与慢性病的空间关联J. 地理学报. 74(8): 1637-1649. [Health Geography]研究漫谈
Yizhuo Li, Teng Fei* and Fan Zhang (2019) A regionalization method for clustering and partitioning based on trajectories from NLP perspective, International Journal of Geographical Information Science, 33:12, 2385-2405, DOI: 10.1080/13658816.2019.1643025 [Spatial Big Data]
Kang, Y., Q. Jia, S. Gao*, X. Zeng, Y. Wang, S. Angsuesser, Y. Liu, X. Ye and T. Fei* (2019), Extracting human emotions at different places based on facial expressions and spatial clustering analysis. Transaction in GIS. 23(3): p. 450-480. [Emotional Geography]
Yuanwen Yue, Jiaqi Ding, Yuhao Kang, Yueyao Wang, Kunlin Wu, and Teng Fei*. 2019. A location-based social network system integrating mobile augmented reality and user generated content. In Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising (LocalRec ‘19). Association for Computing Machinery, New York, NY, USA, Article 12, 1–4. DOI:https://doi.org/10.1145/3356994.3365507 (Best Paper Award)[Augmented Reality]
Liu, Y.; Liu, Y.; Chen, Y.; Zhang, Y.; Shi, T.; Wang, J.; Hong, Y.; Fei, T.; Zhang, Y. (2019) The Influence of Spectral Pretreatment on the Selection of Representative Calibration Samples for Soil Organic Matter Estimation Using Vis-NIR Reflectance Spectroscopy. Remote Sens. 11, 450. [Ecological Remote Sensing]
Ziyu Liu, Anqi Yang, Mengyao Gao, Hong Jiang, Yuhao Kang, Fan Zhang, Teng Fei* (2019), “Towards feasibility of photovoltaic road for urban traffic-solar energy estimation using street view image”, Journal of Cleaner Production, 228, 303-318 [Photovoltaic Capacity]研究漫谈
W. Kong, J. Cheng, X. Liu, F. Zhang, and T. Fei* (2019), “Incorporating nocturnal uav side-view images with viirs data for accurate population estimation: a test at the urban administrative district scale”. International Journal of Remote Sensing, 05, 1–19. [Night Remote Sensing/Side-view Remote Sensing]研究漫谈
Chen Jia, Yunyan Du, Siying Wang, Tianyang Bai, Teng Fei* (2019), “Measuring the vibrancy of urban neighborhoods using mobile phone data with an improved PageRank algorithm”, Transacions in GIS, 23(2): 241 - 258 [Urban Vibrancy]
王梦雪,李俊,贾清源,费腾* (2019). 基于内容和协同过滤的英语创意写作推荐系统 (English Creative Writing Recommendation System Based on Content and Collaborative Filtering), 计算机应用与软件, 2019, 36 (2): 98 -102. [Teaching Paper]
蔡忠亮, 翁敏, 苏世亮, 亢孟军, 费腾, 田晶, 任福 (2019). “地理素养与测绘技能”双驱动的GIS专业大学生创新能力培养模式的探索 (Exploration on the Cultivation Mode of GIS Professional Undergraduates’ Innovation Ability Driven by “Geographic Literacy and Surveying Skills”),2020. 0(8):48-152 [Teaching Paper]
— 2018 —
Wang, S., Y. Du, C. Jia, M. Bian and T. Fei* (2018). “Integrating algebraic multigrid method in spatial aggregation of massive trajectory data.” International Journal of Geographical Information Science: 1-20. [Spatial Big Data]
Tu, Y., M. Bian, Y. Wan and T. Fei* (2018). “Tea cultivar classification and biochemical parameter estimation from hyperspectral imagery obtained by UAV.” PeerJ 6: e4858. [Ecological Remote Sensing]
Zhang, Shuang-Yin; Fei, Teng*; Ran, Yan-Hong (2018), “Diagnosis of heavy metal cross contamination in leaf of rice based on hyperspectral image : a greenhouse experiment”,proceedings of the 2018 ieee international conference on advanced manufacturing (ieee icam): 159-162 [Ecological Remote Sensing]
康雨豪,王玥瑶,高梦泽,彭建,张晶 and 费腾* (2018). “基于虚拟现实技术的电子地图系统设计” (Design of Electronic Map System Based on Virtual Reality Technology), 测绘地理信息, 43(6),16-18.
刘子煜,朱正,安方军,康雨豪,陈慧瑕,郑斯元,戴晓瑜 and 费腾* (2018). “手势识别技术在智能家居中的应用研究.” (Research on the Application of Gesture Recognition Technology in Smart Home) 计算机应用研究,23
Y Kang, Zeng X, hang Z, and T Fei* (2018) “Who are happier? Spatial-temporal analysis of worldwide human emotion based on geocrowdsourcing faces. UPINLBS 2018. [Emotional Geography]
王云将 and 费腾* (2018). ““基于 UHD185 成像光谱仪的茶叶叶绿素含量反演.”” (Inversion of Tea Chlorophyll Content Based on UHD185 Imaging Spectrometer) 地理空间信息 16(3): 50-53. [Ecological Remote Sensing]
张双印, 王云将, 欧阳炜 and 费腾* (2018). ““基于成像高光谱数据的温室水稻重金属胁迫诊断研究.”” (Study on Heavy Metal Stress Diagnosis of Greenhouse Rice Based on Imaging Hyperspectral Data) 安徽农业科学 46(1): 5-9.[Ecological Remote Sensing]
邹祺玥,孔文苑,费腾* (2018). 基于改进人工蚁群算法的公园道路涌现式规划.” (Emergent Planning of Park Roads Based on Improved Artificial Ant Colony Algorithm) 地理信息世界,131(25):103 - 108
Peng, H., Y. Du, Z. Liu, J. Yi, Y. Kang and T. Fei (2018). Uncovering patterns of ties among regions within metropolitan areas using data from mobile phones and online mass media.” GeoJournal,https://doi.org/10.1007/s10708-018-9885-0: 1-17.[Spatial Big Data]
— 2017 —
Y Kang, J Wang, Y Wang, S Angsuesser and T Fei* (2017), Mapping the Sensitivity of the Public Emotion to the Movement of Stock Market Value: A Case Study of Manhattan, International Archives of the Photogrammetry, Remote Sensing; Spatial Information Sciences,XLII-2/W7:1213-1221.[Emotional Geography]
陈奕云, 齐天赐, 黄颖菁, 万远, 赵瑞瑛, 亓林, 张超 and 费腾 (2017), 土壤有机质含量可见-近红外光谱反演模型校正集优选方法 (Optimization Method of Calibration Dataset for VIS-NIR Spectral Inversion Model of Soil Organic Matter Content), Transactions of the Chinese Society of Agricultural Engineering 33(6). [Ecological Remote Sensing]
刘潇, 蔡忠亮, 卢威, 何建华 and 费腾 (2017), 欧洲地理学研究生课程体系分析及借鉴. 地理空间信息 12: 034.
Liu, H., T. Shi, Y. Chen, J. Wang, T. Fei and G. Wu (2017), Improving spectral estimation of soil organic carbon content through semi-supervised regression. Remote Sensing 9(1): 29.[Ecological Remote Sensing]
Chen, Y., T. Qi, Y. Huang, Y. Wan, R. Zhao, L. Qi, C. Zhang and T. Fei (2017). ““Optimization method of calibration dataset for VIS-NIR spectral inversion model of soil organic matter content.”” Transactions of the Chinese Society of Agricultural Engineering 33(6): 107-114. [Ecological Remote Sensing]
Liu, H.; Shi, T.; Chen, Y.; Wang, J.; Fei, T.; Wu, G. (2017) Improving Spectral Estimation of Soil Organic Carbon Content through Semi-Supervised Regression. Remote Sens., 9, 29.[Ecological Remote Sensing]
Shi, T.; Liu, H.; Chen, Y.; Fei, T.; Wang, J.; Wu, G. (2017) Spectroscopic Diagnosis of Arsenic Contamination in Agricultural Soils. Sensors, 17, 1036. [Ecological Remote Sensing]
— Before 2016 —
Jiang, Q.; Chen, Y.; Guo, L.; Fei, T.; Qi, K. (2016) Estimating Soil Organic Carbon of Cropland Soil at Different Levels of Soil Moisture Using VIS-NIR Spectroscopy. Remote Sens., 8, 755.[Ecological Remote Sensing]
潘润秋, 罗启源, 肖迪 and 费腾 (2016). ““基于 CLUE-S 模型的深圳海岸带土地利用变化模拟.”” (Simulation of Land Use Change in Shenzhen Coastal Zone Based on CLUE-S Model) 测绘与空间地理信息 39(4): 32-36.[Ecological Remote Sensing]
涂晔昕 and 费腾* (2016). ““从植被高光谱遥感到土壤重金属污染诊断的研究进展.”” (Research Progress on Soil Heavy Metal Pollution Diagnosis Based on Vegetation Hyperspectral Remote Sensing) 湖北农业科学 55(6): 1361-1368.[Ecological Remote Sensing]
涂晔昕, 沈玉莲, 卢艺, 邬国锋 and 费腾* (2016). ““使用多源遥感影像监测深圳市海岸线变迁.”” (Monitoring the Change of Shenzhen Coastline Using Multi-source Remote Sensing Images) 海洋开发与管理(10): 83-88.[Ecological Remote Sensing]
沈玉莲, 肖迪 and 费腾* (2016). ““深圳市海岸带土地利用遥感监测方法探索.”” (Exploration on Remote Sensing Monitoring Methods of Land Use in Shenzhen Coastal Zone) 海洋开发与管理(5): 24-31.[Ecological Remote Sensing]
Jiang, Q., Y. Chen, L. Guo, T. Fei and K. Qi (2016). Estimating soil organic carbon of cropland soil at different levels of soil moisture using VIS-NIR spectroscopy. Remote Sensing 8(9): 755.[Ecological Remote Sensing]
Wu, G., L. Cui, L. Liu, F. Chen, T. Fei and Y. Liu (2015). ““Statistical model development and estimation of suspended particulate matter concentrations with Landsat 8 OLI images of Dongting Lake, China.”” International Journal of Remote Sensing 36(1): 343-360.[Ecological Remote Sensing]
李海军, 张萱, 乔延军, 李天择, 周佳丽, 陈志雄 and 费腾* (2014). ““残疾人城市公共空间友好度格局分析–以武汉市武昌区为例.”” 残疾人研究(1).
Wu, G., L. Liu, F. Chen and T. Fei (2014). “Developing MODIS-based retrieval models of suspended particulate matter concentration in Dongting Lake, China.” International Journal of Applied Earth Observation and Geoinformation 32: 46-53.
Shi, T., H. Liu, J. Wang, Y. Chen, T. Fei and G. Wu (2014). “Monitoring arsenic contamination in agricultural soils with reflectance spectroscopy of rice plants.” Environmental science technology 48(11): 6264-6272.
Liu, Y., Q. Jiang, T. Shi, T. Fei, J. Wang, G. Liu and Y. Chen (2014). ““Prediction of total nitrogen in cropland soil at different levels of soil moisture with Vis/NIR spectroscopy.”” Acta Agriculturae Scandinavica, Section B–Soil Plant Science 64(3): 267-281.
Liu, Y., Q. Jiang, T. Fei, J. Wang, T. Shi, K. Guo, X. Li and Y. Chen (2014). ““Transferability of a visible and near-infrared model for soil organic matter estimation in riparian landscapes.”” Remote Sensing 6(5): 4305-4322.
Zhai, Y., L. Cui, X. Zhou, Y. Gao, T. Fei and W. Gao (2013). ““Estimation of nitrogen, phosphorus, and potassium contents in the leaves of different plants using laboratory-based visible and near-infrared reflectance spectroscopy: comparison of partial least-square regression and support vector machine regression methods.”” International journal of remote sensing 34(7): 2502-2518.
Wu, G., L. Cui, J. He, H. Duan, T. Fei and Y. Liu (2013). ““Comparison of MODIS-based models for retrieving suspended particulate matter concentrations in Poyang Lake, China.”” International Journal of Applied Earth Observation and Geoinformation 24: 63-72.
Wu, G., L. Cui, H. Duan, T. Fei and Y. Liu (2013). ““An approach for developing Landsat-5 TM-based retrieval models of suspended particulate matter concentration with the assistance of MODIS.”” ISPRS journal of photogrammetry and remote sensing 85: 84-92.
Wu, G., L. Cui, H. Duan, T. Fei and Y. Liu (2013). ““Specific absorption and backscattering coefficients of the main water constituents in Poyang Lake, China.”” Environmental monitoring and assessment 185(5): 4191-4206.
Shi, T., L. Cui, J. Wang, T. Fei, Y. Chen and G. Wu (2013). ““Comparison of multivariate methods for estimating soil total nitrogen with visible/near-infrared spectroscopy.”” Plant and soil 366(1-2): 363-375.
Fei, T. (2013). Modelling the response of lizards to thermal landscape, University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC).
Cui, L., Y. Qiu, T. Fei, Y. Liu and G. Wu (2013). ““Using remotely sensed suspended sediment concentration variation to improve management of Poyang Lake, China.”” Lake and Reservoir Management 29(1): 47-60.
Cui, L., T. Fei*, Q. Qi, Y. Liu and G. Wu (2013). ““Estimating carex quality with laboratory-based hyperspectral measurements.”” International journal of remote sensing 34(5): 1866-1878.
Chen, Y., Y. Liu, T. Fei, Q. Jiang, J. Wang and T. Shi (2013). Statistical understanding on the pre-processing of vnir spectra data from soil samples with different preparations. International Symposium on Satellite Mapping Technology and Application (ISSMTA2013).
Bian, M., A. K. Skidmore, M. Schlerf, T. Wang, Y. Liu, R. Zeng and T. Fei (2013). ““Predicting foliar biochemistry of tea (Camellia sinensis) using reflectance spectra measured at powder, leaf and canopy levels.”” ISPRS journal of photogrammetry and remote sensing 78: 148-156.
Fei, T., A. K. Skidmore, V. Venus, T. Wang, B. Toxopeus, M. Bian and Y. Liu (2012). ““Predicting micro thermal habitat of lizards in a dynamic thermal environment.”” Ecological modelling 231: 126-133.
Fei, T., A. Skidmore and Y. Liu (2012). ““Mapping Thermal Habitat of Ectotherms Based on Behavioral Thermoregulation in a Controlled Thermal Environment.”” ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: 255-258.
Wu, G., L. Cui, H. Duan, T. Fei and Y. Liu (2011). “Absorption and backscattering coefficients and their relations to water constituents of Poyang Lake, China.” Applied Optics 50(34): 6358-6368.
Fei, T., A. K. Skidmore, V. Venus, T. Wang, M. Schlerf, B. Toxopeus, S. van Overjijk, M. Bian and Y. Liu (2011). “A body temperature model for lizards as estimated from the thermal environment.” Journal of Thermal Biology.
Liu, Y., T. Fei*, M. Bian and F. Corsi (2010). ““Assessment of underwater light climate for Lake Dahuchi using field spectral data and Landsat TM.”” International Journal of Remote Sensing 31(6): 1625-1643.
BIAN, M., A. K. SKIDMORE, M. SCHLERF, T. Fei, Y. LIU and T. WANG (2010). ““Reflectance Spectroscopy of Biochemical Components as Indicators of Tea (Camellia Sinensis) Quality.”” Photogrammetric engineering and remote sensing 76(12): 1385-1392.
Fei, T., V. Venus, B. Toxopeus, A. K. Skidmore, M. Schlerf, Y. Liu, S. van Overdijk ad M. Bian (2008). Understanding lizard’s microhabitat use based on a mechanistic model of behavioral thermoregulation. International Conference on Earth Observation Data Processing and Analysis (ICEODPA), International Society for Optics and Photonics.
Bian, M., A. K. Skidmore, D. Ni, J. de Leeuw, M. Schlerf, Y. Liu and T. Fei (2008). Potential of hyperspectral remote sensing on estimating foliar chemistry and predicting the quality of tea (Camellia sinensis). International Conference on Earth Observation Data Processing and Analysis (ICEODPA), International Society for Optics and Photonics.
卞萌, 汪铁军, 刘艳芳 and 费腾 (2007). “用间接遥感方法探测大熊猫栖息地竹林分布.” (Using Indirect Remote Sensing Methods to Detect Bamboo Distribution in Giant Panda Habitat) 生 态 学 报 27(11).
Patents and Software Registrations
Fei Teng, Li Yangchun, An auditory-based auxiliary spatial perception system and method, ZL 202111373446.5 [Invention Patent]
Wang Bozhi, Fei Teng, Du Qingyun, Kang Yuhao, Li Meng, A spatial semantic similarity calculation method based on sliding window sampling, ZL 201911018798.1 [Invention Patent]
Fei Teng, Kang Yuhao, Wang Yueyao, Gao Mengze, Peng Jian, Zhang Jing, Zheng Siyuan, Electronic map system based on virtual reality technology and GIS data, ZL201710210780.6 [Invention Patent]
Fei Teng, Wang Yueyao, Gao Mengze, Kang Yuhao, Peng Jian, Zheng Siyuan, Zhang Jing, A directional panoramic navigation system based on virtual reality technology, [Invention Patent] 201710209896.8
Fei Teng, Tu Yexin, A method and system for remote sensing monitoring of tea garden plant polyphenol content in large areas, ZL201610947823.4 [Invention Patent]
Fei Teng, Zhang Shuangyin, A leaf clip device based on near-infrared specific wavelengths for diagnosing rice cadmium stress intensity, 20190046755.8 [Invention Patent] Under Review
Fei Teng, Gao Mengze, Soil identification system based on Munsell color system, [Software Copyright] 2021SR0125763
Fei Teng, Zhuang Yonggai, Psychological monitoring and early warning system software based on facial emotion data changes, [Software Copyright] 2023SR0560336
Fei Teng, Wu Kunlin, Yue Yuanwen, Ma Xianping, et al., Short message sharing software based on augmented reality technology, [Software Copyright] 2019SR0292337
Fei Teng, Li Jun; Jia Qingyuan, English creative writing recommendation system V1.0 based on content and collaborative filtering, [Software Copyright] 2019SR0440596
Fei Teng, Kang Yuhao, Immersive panoramic experience software based on virtual reality technology [Tianjie Luojia], [Software Copyright] 2017SR038445
Fei Teng, Zhang Haochen, Zheng Yonghong, Xu Yadan, A microscopic hyperspectral scanning instrument for tree ring samples, [Utility Model Patent] 201920872267
Fei Teng, Wang Yueyao, Gao Mengze, Kang Yuhao, Peng Jian, Zheng Siyuan, Zhang Jing, Panoramic data collection system and device based on dual panoramic cameras, [Utility Model Patent] ZL2017-2-0335095.1