| A rough set approach to feature selection based on ant colony optimization Y Chen, D Miao, R Wang Pattern Recognition Letters 31 (3), 226-233, 2010 | 365 | 2010 |
| Neighborhood outlier detection Y Chen, D Miao, H Zhang Expert Systems with Applications 37 (12), 8745-8749, 2010 | 153 | 2010 |
| Gene selection for tumor classification using neighborhood rough sets and entropy measures Y Chen, Z Zhang, J Zheng, Y Ma, Y Xue Journal of biomedical informatics 67, 59-68, 2017 | 130 | 2017 |
| Finding rough set reducts with fish swarm algorithm Y Chen, Q Zhu, H Xu Knowledge-Based Systems 81, 22-29, 2015 | 129 | 2015 |
| A rough set approach to feature selection based on power set tree Y Chen, D Miao, R Wang, K Wu Knowledge-Based Systems 24 (2), 275-281, 2011 | 116 | 2011 |
| Measures of uncertainty for neighborhood rough sets Y Chen, Y Xue, Y Ma, F Xu Knowledge-Based Systems 120, 226-235, 2017 | 100 | 2017 |
| An entropy-based uncertainty measurement approach in neighborhood systems Y Chen, K Wu, X Chen, C Tang, Q Zhu Information Sciences 279, 239-250, 2014 | 89 | 2014 |
| A neural network boosting regression model based on XGBoost J Dong, Y Chen, B Yao, X Zhang, N Zeng Applied Soft Computing 125, 109067, 2022 | 69 | 2022 |
| Outlier detection based on granular computing and rough set theory F Jiang, YM Chen Applied intelligence 42, 303-322, 2015 | 61 | 2015 |
| Neighborhood rough set reduction with fish swarm algorithm Y Chen, Z Zeng, J Lu Soft Computing 21, 6907-6918, 2017 | 60 | 2017 |
| Granule structures, distances and measures in neighborhood systems Y Chen, N Qin, W Li, F Xu Knowledge-Based Systems 165, 268-281, 2019 | 57 | 2019 |
| Three-way decision reduction in neighborhood systems Y Chen, Z Zeng, Q Zhu, C Tang Applied Soft Computing 38, 942-954, 2016 | 41 | 2016 |
| Outlier detection based on granular computing Y Chen, D Miao, R Wang International conference on rough sets and current trends in computing, 283-292, 2008 | 38 | 2008 |
| Place recognition: An overview of vision perspective Z Zeng, J Zhang, X Wang, Y Chen, C Zhu Applied Sciences 8 (11), 2257, 2018 | 33 | 2018 |
| Feature subset selection based on variable precision neighborhood rough sets Y Chen, Y Chen International journal of computational intelligence systems 14 (1), 572-581, 2021 | 27 | 2021 |
| Granular regression with a gradient descent method Y Chen, D Miao Information Sciences 537, 246-260, 2020 | 24 | 2020 |
| Local adaptive learning for semi-supervised feature selection with group sparsity Z Zeng, X Wang, F Yan, Y Chen Knowledge-Based Systems 181, 104787, 2019 | 18 | 2019 |
| 基于幂图的属性约简搜索式算法 陈玉明， 苗夺谦 计算机学报 32 (8), 1486-1492, 2009 | 18 | 2009 |
| Using granule to search privacy preserving voice in home IoT systems W Li, Y Chen, H Hu, C Tang IEEE Access 8, 31957-31969, 2020 | 17 | 2020 |
| Kernel CCA based transfer learning for software defect prediction Y Ma, S Zhu, Y Chen, J Li IEICE Transactions on information and systems 100 (8), 1903-1906, 2017 | 17 | 2017 |
Duoqian MiaoProfessor of Computer Science, Tongji University