| Mining spatiotemporal association patterns from complex geographic phenomena Z He, M Deng, J Cai, Z Xie, Q Guan, C Yang International Journal of Geographical Information Science 34 (6), 1162-1187, 2020 | 59 | 2020 |
| Discovering the joint influence of urban facilities on crime occurrence using spatial co-location pattern mining Z He, M Deng, Z Xie, L Wu, Z Chen, T Pei Cities 99, 102612, 2020 | 50 | 2020 |
| A framework for extracting urban functional regions based on multiprototype word embeddings using points-of-interest data S Hu, Z He, L Wu, L Yin, Y Xu, H Cui Computers, Environment and Urban Systems 80, 101442, 2020 | 50 | 2020 |
| Multi-level method for discovery of regional co-location patterns M Deng, J Cai, Q Liu, Z He, J Tang International Journal of Geographical Information Science 31 (9), 1846-1870, 2017 | 45 | 2017 |
| Adaptive detection of statistically significant regional spatial co-location patterns J Cai, Q Liu, M Deng, J Tang, Z He Computers, Environment and Urban Systems 68, 53-63, 2018 | 34 | 2018 |
| Multiscale analysis of the influence of street built environment on crime occurrence using street-view images Z He, Z Wang, Z Xie, L Wu, Z Chen Computers, Environment and Urban Systems 97, 101865, 2022 | 26 | 2022 |
| Geographical detection of urban thermal environment based on the local climate zones: A case study in Wuhan, China R Wang, M Wang, Z Zhang, T Hu, J Xing, Z He, X Liu Remote Sensing 14 (5), 1067, 2022 | 23 | 2022 |
| Nonparametric significance test for discovery of networkconstrained spatial colocation patterns J Cai, M Deng, Q Liu, Z He, J Tang, X Yang Geographical Analysis 51 (1), 3-22, 2019 | 20 | 2019 |
| Multiscale approach to mining significant spatial colocation patterns M Deng, Z He, Q Liu, J Cai, J Tang Transactions in GIS 21 (5), 1023-1039, 2017 | 20 | 2017 |
| Discovering spatial interaction patterns of near repeat crime by spatial association rules mining Z He, L Tao, Z Xie, C Xu Scientific reports 10 (1), 17262, 2020 | 19 | 2020 |
| An adaptive method for mining hierarchical spatial co-location patterns CAI Jiannan, LIU Qiliang, XU Feng, D Min, HE Zhanjun, T Jianbo Acta Geodaetica et Cartographica Sinica 45 (4), 475, 2016 | 9 | 2016 |
| Building function classification in Nanjing, China, using deep learning Y Xu, Z He, X Xie, Z Xie, J Luo, H Xie Transactions in GIS 26 (5), 2145-2165, 2022 | 8 | 2022 |
| A Clustering Framework to Reveal the Structural Effect Mechanisms of Natural and Social Factors on PM2.5 Concentrations in China W Yang, Z He, H Huang, J Huang Sustainability 13 (3), 1428, 2021 | 8 | 2021 |
| A statistical method for detecting spatiotemporal co-occurrence patterns J Cai, M Deng, Q Liu, Y Chen, Z He, J Tang International Journal of Geographical Information Science 33 (5), 967-990, 2019 | 8 | 2019 |
| Building function recognition using the semi-supervised classification X Xie, Y Liu, Y Xu, Z He, X Chen, X Zheng, Z Xie Applied Sciences 12 (19), 9900, 2022 | 7 | 2022 |
| Exploring multidimensional spatiotemporal point patterns based on an improved affinity propagation algorithm H Cui, L Wu, Z He, S Hu, K Ma, L Yin, L Tao International journal of environmental research and public health 16 (11), 1988, 2019 | 7 | 2019 |
| Comparative study of approaches for detecting crime hotspots with considering concentration and shape characteristics Z He, R Lai, Z Wang, H Liu, M Deng International journal of environmental research and public health 19 (21), 14350, 2022 | 4 | 2022 |
| Adaptive unsupervised-shadow-detection approach for remote-sensing image based on multichannel features Z He, Z Zhang, M Guo, L Wu, Y Huang Remote Sensing 14 (12), 2756, 2022 | 4 | 2022 |
| A Context-Based Association Rules Mining Method for Multiple Event Sequences Z HE, M DENG, J CAI, Q LIU Geomatics and Information Science of Wuhan University 43 (5), 766-772, 2018 | 3 | 2018 |
| A Multi-scale Method for Mining Significant Spatial Co-location Patterns HE Zhanjun, LIU Qiliang, D Min, CAI Jiannan Acta Geodaetica et Cartographica Sinica 45 (11), 1335, 2016 | 3 | 2016 |
Qiliang LiuCentral South University在 connect.polyu.hk 的电子邮件经过验证
