Published in Pattern Recognition, 2025
Recommended citation: Guojian Zou, Zhiyong Zhou, Robert Weibel, Ye Li, Ting Wang, Zongshi Liu, Weiping Ding, Cheng Fu. (2025). Multi-graph spatio-temporal network for traffic accident risk forecasting 172, 112784. https://doi.org/10.1016/j.patcog.2025.112784
Published in Energy, 2025
Recommended citation: He, J., Fu, C.*, & Ye, S.C. (2025). Fine-grained poverty alleviation performance evaluation based on solar photovoltaic projects—A case study of Huoshan County, China. Energy, 137036. https://doi.org/10.1080/13658816.2025.2490701
Published in International Journal of Geographical Information Science, 2025
Recommended citation: Yang, A., Fu, C., Jia, Q., Dong, W., Ma, M., Chen, H., … Wu, H. (2025). Evaluating and enhancing spatial cognition abilities of large language models. International Journal of Geographical Information Science, 1–36. https://doi.org/10.1080/13658816.2025.2490701 https://doi.org/10.1080/13658816.2025.2490701
Published in 农业工程学报(Transactions of the Chinese Society of Agricultural Engineering), 2025
Recommended citation: XU J.W., KUANG K.M., FU C., and WU, C.C.. Calculation of working area for wheat harvesters based on spatiotemporal trajectories and grid key points[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2025, 41(5): 374-379. DOI: 10.11975/j.issn.1002-6819.202410122 https://doi.org/10.11975/j.issn.1002-6819.202410122
Published in International Journal of Applied Earth Observation and Geoinformation, 2024
Recommended citation: Zhou, J., Shen, J., Fu, C., Weibel, R., & Zhou, Z. (2025). Quantifying indoor navigation map information considering the dynamic map elements for scale adaptation. International Journal of Applied Earth Observation and Geoinformation, 136, 104323. https://doi.org/10.1016/j.jag.2024.104323
Published in International Journal of Applied Earth Observation and Geoinformation, 2024
Recommended citation: Zhou, Z.Y., Fu, C.*, & Weibel, R. (2024). SpaGAN: A spatially-aware generative adversarial network for building generalization in image maps. https://doi.org/10.1016/j.jag.2024.104236
Published in Nature Plants, 2024
Recommended citation: Chen, D., Fu, C., Jenkins, L.K., He, J.Y., Wang, Z.H., Jandt, R.R., Frost, G.V., Bredder, A., Berner, L.T., & Loboda, T.V. (2024). Regional fire–greening positive feedback loops in Alaskan Arctic tundra. https://doi.org/10.1038/s41477-024-01850-5
Published in International Journal of Geographical Information Science, 2024
Recommended citation: Fu, C., Zhou, Z.Y., Xin, Y.N., & Weibel, R. (2024). Reasoning cartographic knowledge in deep learning-based map generalization with explainable AI. https://doi.org/10.1080/13658816.2024.2369535
Published in Cartography and Geographic Information Science, 2023
Recommended citation: Fu, C., Zhou, Z.Y., Feng, Y., & Weibel, R. (2023). Keeping Walls Straight: Data Model and Training Set Size Matter for Deep Learning in Building Generalization. https://doi.org/10.1080/15230406.2023.2264757
Published in Renewable Energy, 2023
Recommended citation: He, J., Ren, F., Weibel, R., & Fu, C.* (2023). The effect of large scale photovoltaic-based projects on poverty reduction: Empirical evidence from China. Renewable Energy, 119294. https://doi.org/10.1016/j.renene.2023.119294
Published in IEEE Transactions on Intelligent Transportation Systems, 2023
Recommended citation: Neun, M., Eichenberger, C., Xin, Y.N., Fu, C., Wiedemann, N., Martin, H., Tomko, M. Ambuehl, L., Hermes, L., & Kopp, M. (2023). Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10 Cities. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/TITS.2023.3291737
Published in ISPRS Journal of Photogrammetry and Remote Sensing, 2023
Recommended citation: Zhou, Z.Y., Fu, C., & Weibel, R. (2023) Remove and Move: Multi-Task Learning for Building Simplification of Vector Maps with Graph Convolutional Neural Network. ISPRS Journal of Photogrammetry and Remote Sensing. https://doi.org/10.1016/j.isprsjprs.2023.06.004
Published in Cartography and Geographic Information Science, 2023
Recommended citation: Conrow, L., Fu, C.*, Huang, H.S., Andrienko, G., Andrienko, N., & Weibel. R. (2023). A Conceptual Framework for Developing Dashboard for Big Mobility Data. Cartography and Geographic Information Science. https://doi.org/10.1080/15230406.2023.2190164
Published in ISPRS International Journal of Geo-Information, 2023
Recommended citation: He, J., Fu, C., Li, X., Dong J. X. & Ren. F. (2023). What Do We Know about the Multidimensional Poverty in China: Its Causes, Dynamics, and Implications for Sustainability. ISPRS International Journal of Geo-Information. https://doi.org/10.3390/ijgi12020078
Published in Geo-spatial Information Science, 2023
Recommended citation: Zhao, F., Dai, Z.X., Zhang, W.Y., Shan, Y.T., Fu, C.* (2023). Epidemiological-Survey-based Multidimensional Modeling for Understanding Daily Mobility during the COVID-19 Pandemic Across Urban-Rural Gradient in the Chinese Mainland. Geo-spatial Information Science. https://doi.org/10.1080/10095020.2022.2156821
Published in Geriatric Nursing, 2022
Recommended citation: Giannouli, E., Kim, E.K., Fu, C., Weibel, R., Sofios, A., Infanger, D., Protegijs, E., Rantanen, T., Huang, H.S., Schmidt-Trucksäss, A., Zeller, A., & Hinrichs, T. (2022). Psychometric Properties of the MOBITEC-GP Mobile Application for Real-Life Mobility Assessment in Older Adults. Geriatric Nursing. 48. 273-279. https://doi.org/10.1016/j.gerinurse.2022.10.017
Published in Computers, Environment, and Urban Systems, 2022
Recommended citation: Bruehwiler, L., Fu, C.*, Huang, H.S., Longi, L., & Weibel, R. (2022) Modeling Individuals’ Car Accident Risk by Trajectory, Driving Events, and Geographical Context. Computers, Environment, and Urban Systems. https://doi.org/10.1016/j.compenvurbsys.2022.101760
Published in Spatial Cognition & Computation, 2021
Recommended citation: Zhou, Z.Y., Weibel, R., Fu, C., Winter, S., and Huang, H.S. (2021) Indoor landmark selection for route communication: the influence of route-givers’ social roles and receivers’ familiarity with the environment. Spatial Cognition & Computation. https://doi.org/10.1080/13875868.2021.1959595
Published in Remote Sensing of Environment, 2021
Recommended citation: Chen, D., Fu, C., Hall, J., Hoy, E., and Loboda, T. (2021). Spatio-temporal Patterns of Optimal Landsat Data for Burn Severity Index Calculations: Implications for High Northern Latitudes Wildfire Research. Remote Sensing of Environment. 258, 112393. https://doi.org/10.1016/j.rse.2021.112393
Published in International Journal of Geographical Information Science, 2020
Recommended citation: Fu, C.*, Huang, H.S., and Weibel, R. (2020). Adaptive Simplification of GPS Trajectories with Geographic Context. International Journal of Geographical Information Science. 1-28. https://doi.org/10.1080/13658816.2020.1778003
Published in Remote Sensing, 2019
Recommended citation: Fu, C.*, Song, X.P., and Stewart, K. (2019). Integrating Activity-Based Geographic Information and Long-Term Remote Sensing to Characterize Urban Land Use Change. Remote Sensing. 11(24), 2965. https://doi.org/10.3390/rs11242965
Published in Transportation Research Record, 2019
Recommended citation: Nasri, A., Zhang, L., Fan, J.C., Stewart, K., Younes, H., Fu, C., and Jessberger S. (2019). Advanced Vehicle Miles Traveled Estimation Methods for Non-federal Aid System Roadways using GPS Vehicle Trajectory Data and Statistical Power Analysis. Transportation Research Record. 2673(11). 296-308. https://doi.org/10.1177/0361198119850790
Published in Transportation Research Part C: Emerging Technologies, 2019
Recommended citation: Fan, J.C., Fu, C., Stewart, K., and Zhang, L. (2019). Using Big GPS Trajectory Data Analytics for Vehicle Miles Traveled Estimation. Transportation Research Part C: Emerging Technologies. 103. 298-307. https://doi.org/10.1016/j.trc.2019.04.019
Published in Computers, Environment, and Urban Systems, 2018
Recommended citation: Fu, C.*, McKenzie, G., Frias-Martinez, V., and Stewart, K. (2018). Identifying Spatiotemporal Urban Activities through Linguistic Signatures. Computers, Environment, and Urban Systems. 72. 25-37. https://doi.org/10.1016/j.compenvurbsys.2018.07.003
Published in Information Systems Frontiers, 2018
Recommended citation: Hong, L., Fu, C., Wu, J., and Frias-Martinez, V. (2018). Insights from Online Communications for Local Government Managing Disaster Relief: the Case of Snowstorms. Information Systems Frontiers. 30(4). 387-396. https://doi.org/10.1145/3091478.3091502
Published in Information Systems Frontiers, 2014
Recommended citation: Mishra, S., Welch, T., Torrens, P., Fu, C., Zhu, H., and Knaap, E. (2015). A tool for measuring and visualizing connectivity of transit stop, route and transfer center in a multimodal transportation network. Public Transport. 7(1). 77-99. https://doi.org/10.1007/s12469-014-0091-2
Published in Mathematical and Computer Modelling, 2010
Recommended citation: Zheng, L., Li, M., Wu, C., Ye, H., Ji R., Deng X., Che Y., Fu, C., and Guo, W. (2011). Development of a Smart Mobile Farming Service System. Mathematical and Computer Modelling 54 (3), 1194-1203. https://doi.org/10.1016/j.mcm.2010.11.053
Published in Mathematical and Computer Modelling, 2014
Recommended citation: Fu, C., Samet, H., & Sankaranarayanan, J. (2014, November). WeiboStand: capturing Chinese breaking news using Weibo" tweets". In Proceedings of the 7th ACM SIGSPATIAL International Workshop on Location-Based Social Networks (pp. 41-48). http://dx.doi.org/10.1145/2755492.2755499