| An adaptive spatial clustering algorithm based on Delaunay triangulation M Deng, Q Liu, T Cheng, Y Shi Computers, Environment and Urban Systems 35 (4), 320-332, 2011 | 143 | 2011 |
| A density-based spatial clustering algorithm considering both spatial proximity and attribute similarity Q Liu, M Deng, Y Shi, J Wang Computers & Geosciences 46, 296-309, 2012 | 138 | 2012 |
| A general method of spatio-temporal clustering analysis M Deng, QL Liu, JQ Wang, Y Shi Science China Information Sciences 56, 1-14, 2013 | 59 | 2013 |
| 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 |
| 空间聚类分析及应用 邓敏刘启亮 科学出版社, 2011 | 41* | 2011 |
| 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 |
| Heterogeneous space–time artificial neural networks for space–time series prediction M Deng, W Yang, Q Liu, R Jin, F Xu, Y Zhang Transactions in GIS 22 (1), 183-201, 2018 | 34 | 2018 |
| A novel method for discovering spatio-temporal clusters of different sizes, shapes, and densities in the presence of noise Q Liu, M Deng, J Bi, W Yang International Journal of Digital Earth 7 (2), 138-157, 2014 | 34 | 2014 |
| Recognizing building groups for generalization: a comparative study M Deng, J Tang, Q Liu, F Wu Cartography and Geographic Information Science 45 (3), 187-204, 2018 | 30 | 2018 |
| Geographically weighted extreme learning machine: A method for space–time prediction M Deng, W Yang, Q Liu Geographical Analysis 49 (4), 433-450, 2017 | 26 | 2017 |
| Entropy-based cartographic communication models: Evolution from special to general cartographic information theory LI Zhilin, LIU Qiliang, GAO Peichao Acta Geodaetica et Cartographica Sinica 45 (7), 757, 2016 | 26 | 2016 |
| A hybrid method for interpolating missing data in heterogeneous spatio-temporal datasets M Deng, Z Fan, Q Liu, J Gong ISPRS International Journal of Geo-Information 5 (2), 13, 2016 | 26 | 2016 |
| 一种基于多约束的空间聚类方法 刘启亮， 邓敏， 石岩， 彭东亮 测绘学报 40 (4), 509-516, 2011 | 26* | 2011 |
| Modeling the effect of scale on clustering of spatial points Q Liu, Z Li, M Deng, J Tang, X Mei Computers, Environment and Urban Systems 52, 81-92, 2015 | 23 | 2015 |
| SNN_flow: a shared nearest-neighbor-based clustering method for inhomogeneous origin-destination flows Q Liu, J Yang, M Deng, C Song, W Liu International Journal of Geographical Information Science 36 (2), 253-279, 2022 | 22 | 2022 |
| Adaptive detection of spatial point event outliers using multilevel constrained Delaunay triangulation Y Shi, M Deng, X Yang, Q Liu Computers, Environment and Urban Systems 59, 164-183, 2016 | 22 | 2016 |
| An adaptive detection of multilevel co-location patterns based on natural neighborhoods Q Liu, W Liu, M Deng, J Cai, Y Liu International Journal of Geographical Information Science 35 (3), 556-581, 2021 | 20 | 2021 |
| Nonparametric significance test for discovery of network‐constrained spatial co‐location patterns J Cai, M Deng, Q Liu, Z He, J Tang, X Yang Geographical Analysis 51 (1), 3-22, 2019 | 20 | 2019 |
| Multi‐scale approach to mining significant spatial co‐location patterns M Deng, Z He, Q Liu, J Cai, J Tang Transactions in GIS 21 (5), 1023-1039, 2017 | 20 | 2017 |
| 基于场论的空间聚类算法 邓敏， 刘启亮， 李光强， 程涛 遥感学报, 694-709, 2010 | 20* | 2010 |
Li ZhilinSouthwest Jiaotong Uni, Hong Kong Polytechnic Uni,Univ of Southampton, TU Berlin, Glasgow UVerified email at swjtu.edu.cn
