| Learning from imbalanced data H He, EA Garcia IEEE Transactions on knowledge and data engineering 21 (9), 1263-1284, 2009 | 5488 | 2009 |
| ADASYN: Adaptive synthetic sampling approach for imbalanced learning H He, Y Bai, EA Garcia, S Li 2008 IEEE international joint conference on neural networks (IEEE world …, 2008 | 1553 | 2008 |
| Adaptively robust filtering for kinematic geodetic positioning Y Yang, H He, G Xu Journal of geodesy 75 (2-3), 109-116, 2001 | 472 | 2001 |
| Imbalanced learning: foundations, algorithms, and applications H He, Y Ma John Wiley & Sons, 2013 | 412 | 2013 |
| A self-organizing learning array system for power quality classification based on wavelet transform H He, JA Starzyk IEEE Transactions on Power Delivery 21 (1), 286-295, 2005 | 338 | 2005 |
| Contribution of the compass satellite navigation system to global PNT users YX Yang, JL Li, J Xu, J Tang, HR Guo, HB He Chinese science bulletin 56 (26), 2813, 2011 | 292 | 2011 |
| Preliminary assessment of the navigation and positioning performance of BeiDou regional navigation satellite system YX Yang, JL Li, AB Wang, JY Xu, HB He, HR Guo, JF Shen, X Dai Science China Earth Sciences 57 (1), 144-152, 2014 | 259 | 2014 |
| A hierarchical distributed fog computing architecture for big data analysis in smart cities B Tang, Z Chen, G Hefferman, T Wei, H He, Q Yang Proceedings of the ASE BigData & SocialInformatics 2015, 1-6, 2015 | 240 | 2015 |
| Performance assessment of single-and dual-frequency BeiDou/GPS single-epoch kinematic positioning H He, J Li, Y Yang, J Xu, H Guo, A Wang GPS solutions 18 (3), 393-403, 2014 | 198 | 2014 |
| Incorporating intelligence in fog computing for big data analysis in smart cities B Tang, Z Chen, G Hefferman, S Pei, T Wei, H He, Q Yang IEEE Transactions on Industrial informatics 13 (5), 2140-2150, 2017 | 195 | 2017 |
| Cyber-physical attacks and defences in the smart grid: a survey H He, J Yan IET Cyber-Physical Systems: Theory & Applications 1 (1), 13-27, 2016 | 184 | 2016 |
| A three-network architecture for on-line learning and optimization based on adaptive dynamic programming H He, Z Ni, J Fu Neurocomputing 78 (1), 3-13, 2012 | 183 | 2012 |
| Toward optimal feature selection in naive Bayes for text categorization B Tang, S Kay, H He IEEE transactions on knowledge and data engineering 28 (9), 2508-2521, 2016 | 165 | 2016 |
| Air-breathing hypersonic vehicle tracking control based on adaptive dynamic programming C Mu, Z Ni, C Sun, H He IEEE transactions on neural networks and learning systems 28 (3), 584-598, 2016 | 163 | 2016 |
| RAMOBoost: ranked minority oversampling in boosting S Chen, H He, EA Garcia IEEE Transactions on Neural Networks 21 (10), 1624-1642, 2010 | 163 | 2010 |
| Incremental learning from stream data H He, S Chen, K Li, X Xu IEEE Transactions on Neural Networks 22 (12), 1901-1914, 2011 | 154 | 2011 |
| Adaptive learning in tracking control based on the dual critic network design Z Ni, H He, J Wen IEEE transactions on neural networks and learning systems 24 (6), 913-928, 2013 | 151 | 2013 |
| Cascading failure analysis with DC power flow model and transient stability analysis J Yan, Y Tang, H He, Y Sun IEEE Transactions on Power Systems 30 (1), 285-297, 2014 | 139 | 2014 |
| Adaptive critic nonlinear robust control: A survey D Wang, H He, D Liu IEEE transactions on cybernetics 47 (10), 3429-3451, 2017 | 137 | 2017 |
| Power system stability control for a wind farm based on adaptive dynamic programming Y Tang, H He, J Wen, J Liu IEEE Transactions on Smart Grid 6 (1), 166-177, 2014 | 136 | 2014 |
