| Active learning through density clustering M Wang, F Min, ZH Zhang, YX Wu Expert systems with applications 85, 305-317, 2017 | 151 | 2017 |
| MiR-125 inhibited cervical cancer progression by regulating VEGF and PI3K/AKT signaling pathway K Fu, L Zhang, R Liu, Q Shi, X Li, M Wang World journal of surgical oncology 18 (1), 115, 2020 | 48 | 2020 |
| Three-way active learning through clustering selection F Min, SM Zhang, D Ciucci, M Wang International Journal of Machine Learning and Cybernetics 11 (5), 1033-1046, 2020 | 48 | 2020 |
| Active learning through label error statistical methods M Wang, K Fu, F Min, X Jia Knowledge-Based Systems 189, 105140, 2020 | 36 | 2020 |
| Fine-grained visual categorization: A spatial–frequency feature fusion perspective M Wang, P Zhao, X Lu, F Min, X Wang IEEE Transactions on Circuits and Systems for Video Technology 33 (6), 2798-2812, 2022 | 29 | 2022 |
| Cost-sensitive active learning with a label uniform distribution model YX Wu, XY Min, F Min, M Wang International Journal of Approximate Reasoning 105, 49-65, 2019 | 27 | 2019 |
| Discovering patterns with weak-wildcard gaps CD Tan, F Min, M Wang, HR Zhang, ZH Zhang IEEE access 4, 4922-4932, 2016 | 27 | 2016 |
| Cost-sensitive active learning through statistical methods M Wang, Y Lin, F Min, D Liu Information Sciences 501, 460-482, 2019 | 25 | 2019 |
| Active learning through multi-standard optimization M Wang, YY Zhang, F Min IEEE Access 7, 56772-56784, 2019 | 18 | 2019 |
| Cost-sensitive active learning for incomplete data M Wang, C Yang, F Zhao, F Min, X Wang IEEE Transactions on Systems, Man, and Cybernetics: Systems 53 (1), 405-416, 2022 | 17 | 2022 |
| Prediction of total gas content in low-resistance shale reservoirs via models fusion—Taking the Changning shale gas field in the Sichuan Basin as an example T Yang, H Tang, M Wang, X Guo, H Tang, X Shi, J Liu Geoenergy Science and Engineering 235, 212698, 2024 | 16 | 2024 |
| Quantitative classification and prediction of pore structure in low porosity and low permeability sandstone: A machine learning approach T Yang, H Tang, J Dai, H Wang, X Wen, M Wang, J He, M Wang Geoenergy Science and Engineering 247, 213708, 2025 | 15 | 2025 |
| A two-stage density clustering algorithm M Wang, YY Zhang, F Min, LP Deng, L Gao Soft Computing 24 (23), 17797-17819, 2020 | 14 | 2020 |
| Prediction case of core parameters of shale gas reservoirs through deep Transformer transfer learning M WANG, XP GUO, HM TANG, SL ZHANG, T YANG, GH ZHONG Chinese Journal of Geophysics 66 (6), 2592-2610, 2023 | 11 | 2023 |
| Open world long-tailed data classification through active distribution optimization M Wang, L Zhou, Q Li, A Zhang Expert Systems with Applications 213, 119054, 2023 | 11 | 2023 |
| Noise label learning through label confidence statistical inference M Wang, HT Yu, F Min Knowledge-Based Systems 227, 107234, 2021 | 11 | 2021 |
| The prediction of shale gas reservoir parameters through a multilayer transfer learning network M Wang, XP Guo, HM Tang, WM Yu, P Zhao, XW Shi Geophysical Journal International 234 (2), 1463-1475, 2023 | 10 | 2023 |
| Active learning through two-stage clustering M Wang, K Fu, F Min 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-7, 2018 | 10 | 2018 |
| Attribute and label distribution driven multi-label active learning M Wang, T Feng, Z Shan, F Min Applied Intelligence 52 (10), 11131-11146, 2022 | 8 | 2022 |
| Duck trampling in rice-duck farming alters rice growth and soil CH4 emissions. B Zhao, T Wen, J Zhang, W Tang, M Wang | 7 | 2019 |
Fan Min (闵帆)Professor of School of Computer Science, Southwest Petroleum UniversityVerified email at swpu.edu.cn
