| An order-clique-based approach for mining maximal co-locations L Wang, L Zhou, J Lu, J Yip Information Sciences 179 (19), 3370-3382, 2009 | 154 | 2009 |
| A new join-less approach for co-location pattern mining L Wang, Y Bao, J Lu, J Yip 2008 8th IEEE international conference on computer and information …, 2008 | 123 | 2008 |
| Redundancy reduction for prevalent co-location patterns L Wang, X Bao, L Zhou IEEE Transactions on Knowledge and Data Engineering 30 (1), 142-155, 2017 | 95 | 2017 |
| Cauchy problems for Keller–Segel type time–space fractional diffusion equation L Li, JG Liu, L Wang Journal of Differential Equations 265 (3), 1044-1096, 2018 | 90 | 2018 |
| Finding probabilistic prevalent colocations in spatially uncertain data sets L Wang, P Wu, H Chen IEEE Transactions on Knowledge and Data Engineering 25 (4), 790-804, 2011 | 89 | 2011 |
| Efficient discovery of spatial co-location patterns using the iCPI-tree L Wang, Y Bao, Z Lu The Open Information Systems Journal 3 (1), 2009 | 85 | 2009 |
| Domain-weighted majority voting for crowdsourcing D Tao, J Cheng, Z Yu, K Yue, L Wang IEEE transactions on neural networks and learning systems 30 (1), 163-174, 2018 | 84 | 2018 |
| A clique-based approach for co-location pattern mining X Bao, L Wang Information Sciences 490, 244-264, 2019 | 66 | 2019 |
| Vanishing viscous limits for 3D Navier–Stokes equations with a Navier-slip boundary condition L Wang, Z Xin, A Zang Journal of Mathematical Fluid Mechanics 14 (4), 791-825, 2012 | 61 | 2012 |
| Effective lossless condensed representation and discovery of spatial co-location patterns L Wang, X Bao, H Chen, L Cao Information Sciences 436, 197-213, 2018 | 57 | 2018 |
| Spatial co-location pattern discovery from fuzzy objects Z Ouyang, L Wang, P Wu International Journal on Artificial Intelligence Tools 26 (02), 1750003, 2017 | 54 | 2017 |
| Deep multiple auto-encoder-based multi-view clustering G Du, L Zhou, Y Yang, K Lü, L Wang Data Science and Engineering 6 (3), 323-338, 2021 | 52 | 2021 |
| Efficient discovery of multilevel spatial association rules using partitions L Wang, K Xie, T Chen, X Ma Information and Software Technology 47 (13), 829-840, 2005 | 52 | 2005 |
| Conditional Lie Bäcklund Symmetries and Sign‐Invariants to Quasi‐Linear Diffusion Equations C Qu, L Ji, L Wang Studies in Applied Mathematics 119 (4), 355-391, 2007 | 48 | 2007 |
| Efficiently mining co-location rules on interval data L Wang, H Chen, L Zhao, L Zhou Advanced Data Mining and Applications: 6th International Conference, ADMA …, 2010 | 46 | 2010 |
| Efficiently mining high utility co-location patterns from spatial data sets with instance-specific utilities L Wang, W Jiang, H Chen, Y Fang Database Systems for Advanced Applications: 22nd International Conference …, 2017 | 33 | 2017 |
| Preference-based spatial co-location pattern mining L Wang, Y Fang, L Zhou Springer 10, 978-981, 2022 | 30 | 2022 |
| MCHT: A maximal clique and hash table-based maximal prevalent co-location pattern mining algorithm V Tran, L Wang, H Chen, Q Xiao Expert Systems with Applications 175, 114830, 2021 | 27 | 2021 |
| Lie symmetry analysis, invariant subspace method and q-homotopy analysis method for solving fractional system of single-walled carbon nanotube X Cheng, J Hou, L Wang Computational and Applied Mathematics 40, 1-17, 2021 | 27 | 2021 |
| A framework for mining spatial high utility co-location patterns S Yang, L Wang, X Bao, J Lu 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery …, 2015 | 27 | 2015 |
