| Mapping the spatial distribution of Aedes aegypti and Aedes albopictus F Ding, J Fu, D Jiang, M Hao, G Lin Acta tropica 178, 155-162, 2018 | 142 | 2018 |
| Understanding the dynamics of terrorism events with multiple-discipline datasets and machine learning approach F Ding, Q Ge, D Jiang, J Fu, M Hao PloS one 12 (6), e0179057, 2017 | 91 | 2017 |
| Mapping the transmission risk of Zika virus using machine learning models D Jiang, M Hao, F Ding, J Fu, M Li Acta Tropica 185, 391-399, 2018 | 64 | 2018 |
| Exploring the global geography of cybercrime and its driving forces S Chen, M Hao, F Ding, D Jiang, J Dong, S Zhang, Q Guo, C Gao Humanities and Social Sciences Communications 10 (1), 1-10, 2023 | 56 | 2023 |
| Simulating spatio-temporal patterns of terrorism incidents on the indochina peninsula with GIS and the random forest method M Hao, D Jiang, F Ding, J Fu, S Chen ISPRS International Journal of Geo-Information 8 (3), 133, 2019 | 54 | 2019 |
| Spatiotemporal patterns and risk factors for scrub typhus from 2007 to 2017 in southern China C Zheng, D Jiang, F Ding, J Fu, M Hao Clinical Infectious Diseases 69 (7), 1205-1211, 2019 | 51 | 2019 |
| Modelling armed conflict risk under climate change with machine learning and time-series data Q Ge, M Hao, F Ding, D Jiang, J Scheffran, D Helman, T Ide Nature communications 13 (1), 1-8, 2022 | 46 | 2022 |
| Mapping the potential global codling moth (Cydia pomonella L.) distribution based on a machine learning method D Jiang, S Chen, M Hao, J Fu, F Ding Scientific reports 8 (1), 1-8, 2018 | 41 | 2018 |
| Assessment of landslide susceptibility and risk factors in China D Wang, M Hao, S Chen, Z Meng, D Jiang, F Ding Natural Hazards 108 (3), 3045-3059, 2021 | 40 | 2021 |
| Potential marginal land resources of cassava worldwide: A data-driven analysis D Jiang, Q Wang, F Ding, J Fu, M Hao Renewable and Sustainable Energy Reviews 104, 167-173, 2019 | 38 | 2019 |
| Mapping the potential global distribution of red imported fire ant (Solenopsis invicta Buren) based on a machine learning method S Chen, F Ding, M Hao, D Jiang Sustainability 12 (23), 10182, 2020 | 32 | 2020 |
| Spatiotemporal patterns and spatial risk factors for visceral leishmaniasis from 2007 to 2017 in Western and Central China: A modelling analysis D Jiang, T Ma, M Hao, Y Qian, S Chen, Z Meng, L Wang, C Zheng, X Qi, ... Science of The Total Environment 764, 144275, 2021 | 29 | 2021 |
| Spatiotemporal evolution of urban-agricultural-ecological space in China and its driving mechanism D Wang, J Fu, X Xie, F Ding, D Jiang Journal of Cleaner Production, 133684, 2022 | 25 | 2022 |
| Quantifying risk factors and potential geographic extent of African swine fever across the world D Jiang, T Ma, M Hao, F Ding, K Sun, Q Wang, T Kang, D Wang, S Zhao, ... PloS one 17 (4), e0267128, 2022 | 25 | 2022 |
| Climate drives the spatiotemporal dynamics of scrub typhus in China F Ding, Q Wang, M Hao, RJ Maude, NP John Day, S Lai, S Chen, L Fang, ... Global Change Biology, 2022 | 22 | 2022 |
| Estimating the potential of energy saving and carbon emission mitigation of cassava-based fuel ethanol using life cycle assessment coupled with a biogeochemical process model D Jiang, M Hao, J Fu, G Tian, F Ding International journal of biometeorology 63 (5), 701-710, 2019 | 22 | 2019 |
| Global potential distribution of Oryctes rhinoceros, as predicted by Boosted Regression Tree model M Hao, OF Aidoo, Y Qian, D Wang, F Ding, T Ma, E Tettey, KD Ninsin, ... Global Ecology and Conservation 37, e02175, 2022 | 21 | 2022 |
| Risk factors and predicted distribution of visceral leishmaniasis in the Xinjiang Uygur Autonomous Region, China, 2005–2015 F Ding, Q Wang, J Fu, S Chen, M Hao, T Ma, C Zheng, D Jiang Parasites & vectors 12 (1), 1-10, 2019 | 21 | 2019 |
| Geographical Detector-based influence factors analysis for Echinococcosis prevalence in Tibet, China T Ma, D Jiang, M Hao, P Fan, S Zhang, G Quzhen, CZ Xue, S Han, ... PLoS neglected tropical diseases 15 (7), e0009547, 2021 | 20 | 2021 |
| Factors influencing the spatial distribution of cystic echinococcosis in Tibet, China T Ma, D Jiang, G Quzhen, C Xue, S Han, W Wu, C Zheng, F Ding Science of The Total Environment 754, 142229, 2021 | 20 | 2021 |
Dong JiangInstitute of Geographical Sciences and Natural Resources ResearchVerified email at igsnrr.ac.cn