| The representativeness and spatial bias of volunteered geographic information: a review G Zhang, AX Zhu Annals of GIS 24 (3), 151-162, 2018 | 84 | 2018 |
| A cloud-enabled automatic disaster analysis system of multi-sourced data streams: An example synthesizing social media, remote sensing and Wikipedia data Q Huang, G Cervone, G Zhang Computers, Environment and Urban Systems 66, 23-37, 2017 | 73 | 2017 |
| A GPU-accelerated adaptive kernel density estimation approach for efficient point pattern analysis on spatial big data G Zhang, AX Zhu, Q Huang International Journal of Geographical Information Science 31 (10), 2068-2097, 2017 | 46 | 2017 |
| Modelling species habitat suitability from presence-only data using kernel density estimation G Zhang, AX Zhu, SK Windels, CZ Qin Ecological Indicators 93, 387-396, 2018 | 43 | 2018 |
| A citizen data-based approach to predictive mapping of spatial variation of natural phenomena AX Zhu, G Zhang, W Wang, W Xiao, ZP Huang, GS Dunzhu, G Ren, ... International Journal of Geographical Information Science 29 (10), 1864-1886, 2015 | 43 | 2015 |
| Spatial and temporal patterns in volunteer data contribution activities: A case study of eBird G Zhang ISPRS International Journal of Geo-Information 9 (10), 597, 2020 | 41 | 2020 |
| Global landscapes: Teaching globalization through responsive mobile map design R Roth, S Young, C Nestel, C Sack, B Davidson, J Janicki, ... The Professional Geographer 70 (3), 395-411, 2018 | 35 | 2018 |
| Enabling point pattern analysis on spatial big data using cloud computing: optimizing and accelerating Ripley’s K function G Zhang, Q Huang, AX Zhu, JH Keel International Journal of Geographical Information Science 30 (11), 2230-2252, 2016 | 31 | 2016 |
| A representativeness-directed approach to mitigate spatial bias in VGI for the predictive mapping of geographic phenomena G Zhang, AX Zhu International Journal of Geographical Information Science 33 (9), 1873-1893, 2019 | 28 | 2019 |
| Validity of historical volunteered geographic information: Evaluating citizen data for mapping historical geographic phenomena G Zhang, A Zhu, ZP Huang, G Ren, CZ Qin, W Xiao Transactions in GIS, 2017 | 23 | 2017 |
| CyberSoLIM: A cyber platform for digital soil mapping J Jiang, AX Zhu, CZ Qin, T Zhu, J Liu, F Du, J Liu, G Zhang, Y An Geoderma 263, 234-243, 2016 | 17 | 2016 |
| Unification of soil feedback patterns under different evaporation conditions to improve soil differentiation over flat area S Guo, AX Zhu, L Meng, JE Burt, F Du, J Liu, G Zhang International journal of applied earth observation and geoinformation 49 …, 2016 | 15 | 2016 |
| A representativeness heuristic for mitigating spatial bias in existing soil samples for digital soil mapping G Zhang, AX Zhu Geoderma 351, 130-143, 2019 | 13 | 2019 |
| Detecting and Visualizing Observation Hot-Spots in Massive Volunteer-Contributed Geographic Data across Spatial Scales Using GPU-Accelerated Kernel Density Estimation G Zhang ISPRS International Journal of Geo-Information 11 (1), 55, 2022 | 12 | 2022 |
| Integrating Citizen Science and GIS for Wildlife Habitat Assessment G Zhang Wildlife Population Monitoring, 2019 | 10 | 2019 |
| A heuristic‐based approach to mitigating positional errors in patrol data for species distribution modeling G Zhang, A Zhu, ZP Huang, W Xiao Transactions in GIS, 2017 | 10 | 2017 |
| 基于核密度估计的动物生境适宜度制图方法 张桂铭， 朱阿兴， 杨胜天， 秦承志， 肖文 | 9 | 2013 |
| Integrating multi-source data for wildlife habitat mapping: A case study of the black-and-white snub-nosed monkey (Rhinopithecus bieti) in Yunnan, China G Zhang, AX Zhu, YC He, ZP Huang, GP Ren, W Xiao Ecological Indicators 118, 106735, 2020 | 8 | 2020 |
| Volunteered Geographic Information G Zhang The Geographic Information Science & Technology Body of Knowledge, 2021 | 7 | 2021 |
| Data-gap filling to understand the dynamic feedback pattern of soil S Guo, L Meng, AX Zhu, JE Burt, F Du, J Liu, G Zhang Remote Sensing 7 (9), 11801-11820, 2015 | 7 | 2015 |
