| Quantitative analysis of patients with celiac disease by video capsule endoscopy: A deep learning method T Zhou, G Han, BN Li, Z Lin, EJ Ciaccio, PH Green, J Qin Computers in Biology and Medicine 85 (2), 1-6, 2017 | 152 | 2017 |
| PSO-ELM: A Hybrid Learning Model for Short-term Traffic Flow Forecasting W Cai, J Yang, Y Yu, Y Song, T Zhou, J Qin IEEE Access 8 (1), 6505-6514, 2020 | 117 | 2020 |
| A noise-immune Kalman filter for short-term traffic flow forecasting L Cai, Z Zhang, J Yang, Y Yu, T Zhou, J Qin Physica A: Statistical Mechanics and its Applications 536, 122601, 2019 | 113 | 2019 |
| Hybrid dual Kalman filtering model for short-term traffic flow forecasting T Zhou, D Jiang, Z Lin, G Han, X Xu, J Qin IET Intelligent Transport Systems 13 (6), 1023-1032, 2019 | 109 | 2019 |
| δ-agree AdaBoost stacked autoencoder for short-term traffic flow forecasting T Zhou, G Han, X Xu, Z Lin, C Han, Y Huang, J Qin Neurocomputing 247 (4), 31-38, 2017 | 108 | 2017 |
| A temporal-aware LSTM enhanced by loss-switch mechanism for traffic flow forecasting H Lu, Z Ge, Y Song, D Jiang, T Zhou, J Qin Neurocomputing 427, 169-178, 2021 | 100 | 2021 |
| A probability and integrated learning based classification algorithm for high-level human emotion recognition problems D Jiang, K Wu, D Chen, G Tu, T Zhou, A Garg, L Gao Measurement 150, 107049, 2020 | 83 | 2020 |
| Attention meets long short-term memory: A deep learning network for traffic flow forecasting W Fang, W Zhuo, J Yan, Y Song, D Jiang, T Zhou Physica A: Statistical Mechanics and its Applications 587, 126485, 2022 | 74 | 2022 |
| St-trafficnet: A spatial-temporal deep learning network for traffic forecasting H Lu, D Huang, Y Song, D Jiang, T Zhou, J Qin Electronics 9 (9), 1474, 2020 | 73 | 2020 |
| A Sample-rebalanced Outlier-rejected k-nearest Neighbour Regression Model for Short-term Traffic Flow Forecasting L Cai, Y Yu, S Zhang, Y Song, Z Xiong, T Zhou IEEE Access 8, 22686-22696, 2020 | 72 | 2020 |
| A learning-based multimodel integrated framework for dynamic traffic flow forecasting T Zhou, G Han, X Xu, C Han, Y Huang, J Qin Neural Processing Letters 43 (1), 407-430, 2019 | 69 | 2019 |
| Multimodality sentiment analysis in social Internet of things based on hierarchical attentions and CSAT-TCN with MBM network G Xiao, G Tu, L Zheng, T Zhou, X Li, SH Ahmed, D Jiang IEEE Internet of Things Journal 8 (16), 12748-12757, 2020 | 62 | 2020 |
| A noise-immune LSTM network for short-term traffic flow forecasting L Cai, M Lei, S Zhang, Y Yu, T Zhou, J Qin Chaos 30 (2), 1-11, 2020 | 62 | 2020 |
| SVRGSA: a hybrid learning based model for short‐term traffic flow forecasting L Cai, Q Chen, W Cai, X Xu, T Zhou, J Qin IET intelligent transport systems 13 (9), 1348-1355, 2019 | 61 | 2019 |
| Color correction based on cfa and enhancement based on retinex with dense pixels for underwater images C Li, S Tang, HK Kwan, J Yan, T Zhou IEEE Access 8, 155732-155741, 2020 | 53 | 2020 |
| A hybrid ensemble learning framework for basketball outcomes prediction W Cai, D Yu, Z Wu, X Du, T Zhou Physica A: Statistical Mechanics and its Applications 528, 121461, 2019 | 44 | 2019 |
| Low-light image enhancement via pair of complementary gamma functions by fusion C Li, S Tang, J Yan, T Zhou Ieee Access 8, 169887-169896, 2020 | 38 | 2020 |
| pH-Responsive multifunctional theranostic rapamycin-loaded nanoparticles for imaging and treatment of acute ischemic stroke Y Cheng, A Cheng, Y Jia, L Yang, Y Ning, L Xu, Y Zhong, Z Zhuang, ... ACS Applied Materials & Interfaces 13 (48), 56909-56922, 2021 | 37 | 2021 |
| Deep learning anti-fraud model for internet loan: Where we are going W Fang, X Li, P Zhou, J Yan, D Jiang, T Zhou IEEE Access 9, 9777-9784, 2021 | 34 | 2021 |
| Voxel-based morphometry and a deep learning model for the diagnosis of early Alzheimer’s disease based on cerebral gray matter changes H Huang, S Zheng, Z Yang, Y Wu, Y Li, J Qiu, Y Cheng, P Lin, Y Lin, ... Cerebral Cortex 33 (3), 754-763, 2023 | 32 | 2023 |
Youyi Song (宋有义)China Pharmaceutical UniversityVerified email at cpu.edu.cn
