| An optimizing BP neural network algorithm based on genetic algorithm S Ding, C Su, J Yu Artificial intelligence review 36, 153-162, 2011 | 784 | 2011 |
| Extreme learning machine: algorithm, theory and applications S Ding, H Zhao, Y Zhang, X Xu, R Nie Artificial Intelligence Review 44, 103-115, 2015 | 665 | 2015 |
| Study on density peaks clustering based on k-nearest neighbors and principal component analysis M Du, S Ding, H Jia Knowledge-Based Systems 99, 135-145, 2016 | 521 | 2016 |
| Evolutionary artificial neural networks: a review S Ding, H Li, C Su, J Yu, F Jin Artificial Intelligence Review 39, 251-260, 2013 | 497 | 2013 |
| Extreme learning machine and its applications S Ding, X Xu, R Nie Neural Computing and Applications 25, 549-556, 2014 | 358 | 2014 |
| A stochastic configuration network based on chaotic sparrow search algorithm C Zhang, S Ding Knowledge-Based Systems 220, 106924, 2021 | 323 | 2021 |
| An overview on restricted Boltzmann machines N Zhang, S Ding, J Zhang, Y Xue Neurocomputing 275, 1186-1199, 2018 | 254 | 2018 |
| The latest research progress on spectral clustering H Jia, S Ding, X Xu, R Nie Neural Computing and Applications 24, 1477-1486, 2014 | 241 | 2014 |
| A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications W Du, S Ding Artificial Intelligence Review 54 (5), 3215-3238, 2021 | 227 | 2021 |
| Deep extreme learning machine and its application in EEG classification S Ding, N Zhang, X Xu, L Guo, J Zhang Mathematical Problems in Engineering 2015 (1), 129021, 2015 | 189 | 2015 |
| An overview on semi-supervised support vector machine S Ding, Z Zhu, X Zhang Neural Computing and Applications 28, 969-978, 2017 | 173 | 2017 |
| An improved grid search algorithm to optimize SVR for prediction Y Sun, S Ding, Z Zhang, W Jia Soft Computing 25, 5633-5644, 2021 | 156 | 2021 |
| A hybrid optimization algorithm based on cuckoo search and differential evolution for solving constrained engineering problems Z Zhang, S Ding, W Jia Engineering Applications of Artificial Intelligence 85, 254-268, 2019 | 152 | 2019 |
| A survey on feature extraction for pattern recognition S Ding, H Zhu, W Jia, C Su Artificial Intelligence Review 37, 169-180, 2012 | 152 | 2012 |
| A support vector regression model hybridized with chaotic krill herd algorithm and empirical mode decomposition for regression task Z Zhang, S Ding, Y Sun Neurocomputing 410, 185-201, 2020 | 120 | 2020 |
| An improved density peaks clustering algorithm with fast finding cluster centers X Xu, S Ding, Z Shi Knowledge-Based Systems 158, 65-74, 2018 | 115 | 2018 |
| Research on data stream clustering algorithms S Ding, F Wu, J Qian, H Jia, F Jin Artificial Intelligence Review 43, 593-600, 2015 | 113 | 2015 |
| An overview on twin support vector machines S Ding, J Yu, B Qi, H Huang Artificial Intelligence Review 42, 245-252, 2014 | 111 | 2014 |
| An optimized classification algorithm by BP neural network based on PLS and HCA W Jia, D Zhao, T Shen, S Ding, Y Zhao, C Hu Applied Intelligence 43, 176-191, 2015 | 109 | 2015 |
| Twin support vector machine: theory, algorithm and applications S Ding, N Zhang, X Zhang, F Wu Neural Computing and Applications 28, 3119-3130, 2017 | 96 | 2017 |
