| Prediction of epidemic trends in COVID-19 with logistic model and machine learning technics P Wang, X Zheng, J Li, B Zhu Chaos, Solitons & Fractals 139, 110058, 2020 | 390 | 2020 |
| A spatiotemporal model of land use change based on ant colony optimization, Markov chain and cellular automata X Yang, XQ Zheng, LN Lv Ecological Modelling 233, 11-19, 2012 | 339 | 2012 |
| A land use change model: Integrating landscape pattern indexes and Markov-CA X Yang, XQ Zheng, R Chen Ecological Modelling 283, 1-7, 2014 | 249 | 2014 |
| Time series prediction for the epidemic trends of COVID-19 using the improved LSTM deep learning method: Case studies in Russia, Peru and Iran P Wang, X Zheng, G Ai, D Liu, B Zhu Chaos, Solitons & Fractals 140, 110214, 2020 | 193 | 2020 |
| Analysis of spatiotemporal characteristics of big data on social media sentiment with COVID-19 epidemic topics B Zhu, X Zheng, H Liu, J Li, P Wang Chaos, Solitons & Fractals 140, 110123, 2020 | 146 | 2020 |
| 基于农用地分等的基本农田保护空间规划方法研究 郑新奇， 杨树佳， 象伟宁， 王爱萍 农业工程学报 23 (1), 66-71, 2007 | 131 | 2007 |
| 城市土地优化配置与集约利用评价: 理论, 方法, 技术, 实证 郑新奇 科学出版社, 2004 | 128 | 2004 |
| Global monthly gridded atmospheric carbon dioxide concentrations under the historical and future scenarios W Cheng, L Dan, X Deng, J Feng, Y Wang, J Peng, J Tian, W Qi, Z Liu, ... Scientific Data 9 (1), 83, 2022 | 109 | 2022 |
| 景观格局空间分析技术及其应用 郑新奇， 付梅臣， 姚慧 北 京: 科 学 出 版 社, 1-181, 2010 | 105 | 2010 |
| 城镇土地利用结构效率的数据包络分析 郑新奇， 王筱明 中国土地科学 18 (2), 34-39, 2004 | 97 | 2004 |
| Generating a high-precision true digital orthophoto map based on UAV images Y Liu, X Zheng, G Ai, Y Zhang, Y Zuo ISPRS International Journal of Geo-Information 7 (9), 333, 2018 | 95 | 2018 |
| Land-use Simulation and Decision-Support system (LandSDS): Seamlessly integrating system dynamics, agent-based model, and cellular automata D Liu, X Zheng, H Wang Ecological Modelling 417, 108924, 2020 | 94 | 2020 |
| A coupled model for simulating spatio-temporal dynamics of land-use change: A case study in Changqing, Jinan, China XQ Zheng, L Zhao, WN Xiang, N Li, LN Lv, X Yang Landscape and Urban Planning 106 (1), 51-61, 2012 | 93 | 2012 |
| Simulation of land-use scenarios for Beijing using CLUE-S and Markov composite models Y Hu, Y Zheng, X Zheng Chinese Geographical Science 23, 92-100, 2013 | 87 | 2013 |
| Do urban planning policies meet sustainable urbanization goals? A scenario-based study in Beijing, China Q Xu, X Zheng, M Zheng Science of the total environment 670, 498-507, 2019 | 78 | 2019 |
| 基于 Voronoi 图的农村居民点空间分布特征及其影响因素研究——以北京市昌平区为例 刘仙桃， 郑新奇， 李道兵 生态与农村环境学报 25 (2), 30-33, 2009 | 78 | 2009 |
| The prediction and analysis of COVID-19 epidemic trend by combining LSTM and Markov method R Ma, X Zheng, P Wang, H Liu, C Zhang Scientific Reports 11 (1), 17421, 2021 | 74 | 2021 |
| Scenario analysis of sustainable intensive land use based on SD model B Geng, X Zheng, M Fu Sustainable Cities and Society 29, 193-202, 2017 | 73 | 2017 |
| 乡镇土地集约利用评价及驱动因素分析 赵丽， 付梅臣， 张建军， 郑新奇 农业工程学报 24 (2), 89-94, 2008 | 65 | 2008 |
| Impact of land-use and land-cover change on meteorology in the Beijing–Tianjin–Hebei Region from 1990 to 2010 J Li, X Zheng, C Zhang, Y Chen Sustainability 10 (1), 176, 2018 | 62 | 2018 |
Peipei Wang（王培培）China University of Geosciences, BeijingDirección de correo verificada de cugb.edu.cn