| A locally-constrained yolo framework for detecting small and densely-distributed building footprints Y Xie, J Cai, R Bhojwani, S Shekhar, J Knight International Journal of Geographical Information Science 34 (4), 777-801, 2020 | 66 | 2020 |
| 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 |
| 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 |
| 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 | 21 | 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 |
| 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 co-location patterns in multivariate spatial flow data J Cai, MP Kwan International Journal of Geographical Information Science 36 (4), 720-748, 2022 | 19 | 2022 |
| Discovery of statistically significant regional co-location patterns on urban road networks W Liu, Q Liu, M Deng, J Cai, J Yang International Journal of Geographical Information Science 36 (4), 749-772, 2022 | 18 | 2022 |
| Field evaluation and calibration of low-cost air pollution sensors for environmental exposure research J Huang, MP Kwan, J Cai, W Song, C Yu, Z Kan, SHL Yim Sensors 22 (6), 2381, 2022 | 15 | 2022 |
| Significant spatial co-distribution pattern discovery J Cai, Y Xie, M Deng, X Tang, L Yan, S Shekhar Computers, Environment and Urban Systems 84, 101543, 2020 | 15 | 2020 |
| Discovering regions of anomalous spatial co-locations J Cai, M Deng, Y Guo, Y Xie, S Shekhar International Journal of Geographical Information Science 35 (5), 974-998, 2021 | 14 | 2021 |
| Detecting spatial flow outliers in the presence of spatial autocorrelation J Cai, MP Kwan Computers, Environment and Urban Systems 96, 101833, 2022 | 11 | 2022 |
| 多模态地理大数据时空分析方法 邓敏， 蔡建南， 杨文涛， 唐建波， 杨学习， 刘启亮， 石岩 地球信息科学学报 22 (1), 41-56, 2020 | 11 | 2020 |
| An introduction to spatial data mining J Golmohammadi, Y Xie, J Gupta, Y Li, J Cai, S Detor, S Shekhar Technical report TR 18-013). Retrieved from https://www. cs. umn. edu/sites …, 2018 | 11 | 2018 |
| 多层次空间同位模式自适应挖掘方法 蔡建南， 刘启亮， 徐枫， 邓敏， 何占军， 唐建波 测绘学报 45 (4), 475, 2016 | 9* | 2016 |
| 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 |
| Pollution level, ecological risk assessment and vertical distribution pattern analysis of heavy metals in the tailings dam of an abandon lead–zinc mine Q Wang, J Cai, F Gao, Z Li, M Zhang Sustainability 15 (15), 11987, 2023 | 5 | 2023 |
| 城市犯罪时空同现模式的非参数检验方法 陈袁芳， 蔡建南， 刘启亮， 邓敏， 张雪英 武汉大学学报· 信息科学版 44 (12), 1883-1892, 2019 | 5* | 2019 |
| 空间层次聚类显著性判别的重排检验方法 唐建波， 刘启亮， 邓敏， 黄金彩， 蔡建南 测绘学报 45 (2), 233-240, 2016 | 5 | 2016 |
Qiliang LiuCentral South University在 connect.polyu.hk 的电子邮件经过验证
