| Multiple sclerosis identification by convolutional neural network with dropout and parametric ReLU YD Zhang, C Pan, J Sun, C Tang Journal of computational science 28, 1-10, 2018 | 230 | 2018 |
| Federated learning-based computation offloading optimization in edge computing-supported internet of things Y Han, D Li, H Qi, J Ren, X Wang Proceedings of the ACM Turing Celebration Conference-China, 1-5, 2019 | 210 | 2019 |
| Multiple sclerosis identification by 14-layer convolutional neural network with batch normalization, dropout, and stochastic pooling SH Wang, C Tang, J Sun, J Yang, C Huang, P Phillips, YD Zhang Frontiers in neuroscience 12, 424538, 2018 | 170 | 2018 |
| Alcoholism identification based on an AlexNet transfer learning model SH Wang, S Xie, X Chen, DS Guttery, C Tang, J Sun, YD Zhang Frontiers in psychiatry 10, 454348, 2019 | 148 | 2019 |
| High performance multiple sclerosis classification by data augmentation and AlexNet transfer learning model YD Zhang, VV Govindaraj, C Tang, W Zhu, J Sun Journal of Medical Imaging and Health Informatics 9 (9), 2012-2021, 2019 | 114 | 2019 |
| Twelve-layer deep convolutional neural network with stochastic pooling for tea category classification on GPU platform YD Zhang, K Muhammad, C Tang Multimedia Tools and Applications 77, 22821-22839, 2018 | 100 | 2018 |
| Cerebral micro-bleeding detection based on densely connected neural network S Wang, C Tang, J Sun, Y Zhang Frontiers in neuroscience 13, 454457, 2019 | 93 | 2019 |
| Diagnosis of COVID-19 by wavelet Renyi entropy and three-segment biogeography-based optimization SH Wang, X Wu, YD Zhang, C Tang, X Zhang International Journal of Computational Intelligence Systems 13 (1), 1332-1344, 2020 | 82 | 2020 |
| Collaborative edge computing and caching with deep reinforcement learning decision agents J Ren, H Wang, T Hou, S Zheng, C Tang IEEE Access 8, 120604-120612, 2020 | 28 | 2020 |
| Cooperative and Competitive Dynamics Model for Information Propagation in Online Social Networks Y Zhang, C Tang, L Weigang Journal of Applied Mathematics 2014, 610382, 2014 | 23 | 2014 |
| MFBCNNC: Momentum factor biogeography convolutional neural network for COVID-19 detection via chest X-ray images J Sun, X Li, C Tang, SH Wang, YD Zhang Knowledge-Based Systems 232, 107494, 2021 | 19 | 2021 |
| Hearing loss identification via wavelet entropy and combination of Tabu search and particle swarm optimization C Tang, E Lee 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), 1-5, 2018 | 19 | 2018 |
| 京津冀区域经济一体化的困境与选择——与 “长三角” 对比研究 张亚明， 张心怡， 唐朝生 北京行政学院学报, 70-76, 2012 | 19 | 2012 |
| Face recognition based on local gradient number pattern and fuzzy convex-concave partition J Sun, Y Lv, C Tang, H Sima, X Wu IEEE Access 8, 35777-35791, 2020 | 12 | 2020 |
| 微博机制和转发预测研究 张亚明， 唐朝生， 李伟钢 情报学报 32 (8), 868-876, 2013 | 10 | 2013 |
| GAM-SpCaNet: Gradient awareness minimization-based spinal convolution attention network for brain tumor classification C Tang, B Li, J Sun, SH Wang, YD Zhang Journal of King Saud University-Computer and Information Sciences 35 (2 …, 2023 | 8 | 2023 |
| 在线社交网络谣言传播兴趣衰减与社会强化机制研究 张亚明， 唐朝生， 李伟钢 情报学报 34 (8), 833-844, 2015 | 8 | 2015 |
| 竞合视域下京津冀区域地缘经济关系测度分析 张亚明， 李新华， 唐朝生 城市发展研究 19 (5), 22-27, 2012 | 8 | 2012 |
| Facial emotion recognition via stationary wavelet entropy and Biogeography-based optimization X Li, C Tang, J Sun EAI Endorsed Transactions on e-Learning 6 (19), e4-e4, 2020 | 7 | 2020 |
| 环首都经济圈亚核心与发展路径选择 张亚明， 孙瑞佳， 唐朝生 中国科技论坛, 106-111, 2012 | 7 | 2012 |
Shuihua WangXi'an Jiaotong-Liverpool UniversityGeverifieerd e-mailadres voor xjtlu.edu.cn
