| Fundus image classification using VGG-19 architecture with PCA and SVD M Mateen, J Wen, Nasrullah, S Song, Z Huang Symmetry 11 (1), 1, 2018 | 423 | 2018 |
| Deadline-constrained cost optimization approaches for workflow scheduling in clouds Q Wu, F Ishikawa, Q Zhu, Y Xia, J Wen IEEE Transactions on Parallel and Distributed Systems 28 (12), 3401-3412, 2017 | 203 | 2017 |
| Real estate price forecasting based on SVM optimized by PSO X Wang, J Wen, Y Zhang, Y Wang Optik 125 (3), 1439-1443, 2014 | 197 | 2014 |
| An improved random forest algorithm for predicting employee turnover X Gao, J Wen, C Zhang Mathematical Problems in Engineering 2019 (1), 4140707, 2019 | 169 | 2019 |
| Generalized divergence-based decision making method with an application to pattern classification F Xiao, J Wen, W Pedrycz IEEE transactions on knowledge and data engineering 35 (7), 6941-6956, 2022 | 157 | 2022 |
| MOELS: Multiobjective evolutionary list scheduling for cloud workflows Q Wu, MC Zhou, Q Zhu, Y Xia, J Wen IEEE Transactions on Automation Science and Engineering 17 (1), 166-176, 2019 | 133 | 2019 |
| SocialLGN: Light graph convolution network for social recommendation J Liao, W Zhou, F Luo, J Wen, M Gao, X Li, J Zeng Information Sciences 589, 595-607, 2022 | 127 | 2022 |
| Reliability evaluation of distribution systems with mobile energy storage systems Y Chen, Y Zheng, F Luo, J Wen, Z Xu IET Renewable Power Generation 10 (10), 1562-1569, 2016 | 123 | 2016 |
| Automatic detection of diabetic retinopathy: a review on datasets, methods and evaluation metrics M Mateen, J Wen, M Hassan, N Nasrullah, S Sun, S Hayat IEEE Access 8, 48784-48811, 2020 | 111 | 2020 |
| Exudate detection for diabetic retinopathy using pretrained convolutional neural networks M Mateen, J Wen, N Nasrullah, S Sun, S Hayat Complexity 2020 (1), 5801870, 2020 | 110 | 2020 |
| SVM-TIA a shilling attack detection method based on SVM and target item analysis in recommender systems W Zhou, J Wen, Q Xiong, M Gao, J Zeng Neurocomputing 210, 197-205, 2016 | 110 | 2016 |
| Dropout prediction in MOOCs using behavior features and multi-view semi-supervised learning W Li, M Gao, H Li, Q Xiong, J Wen, Z Wu 2016 international joint conference on neural networks (IJCNN), 3130-3137, 2016 | 107 | 2016 |
| Semi-supervised learning combining co-training with active learning Y Zhang, J Wen, X Wang, Z Jiang Expert Systems with Applications 41 (5), 2372-2378, 2014 | 88 | 2014 |
| An operational planning framework for large-scale thermostatically controlled load dispatch F Luo, ZY Dong, K Meng, J Wen, H Wang, J Zhao IEEE Transactions on Industrial Informatics 13 (1), 217-227, 2016 | 86 | 2016 |
| Learning structures of interval-based Bayesian networks in probabilistic generative model for human complex activity recognition L Liu, S Wang, B Hu, Q Qiong, J Wen, DS Rosenblum Pattern Recognition 81, 545-561, 2018 | 84 | 2018 |
| Recommender systems based on generative adversarial networks: A problem-driven perspective M Gao, J Zhang, J Yu, J Li, J Wen, Q Xiong Information Sciences 546, 1166-1185, 2021 | 81 | 2021 |
| A restaurant recommender system based on user preference and location in mobile environment J Zeng, F Li, H Liu, J Wen, S Hirokawa 2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI …, 2016 | 70 | 2016 |
| Cooperative computation offloading for multi-access edge computing in 6G mobile networks via soft actor critic C Sun, X Wu, X Li, Q Fan, J Wen, VCM Leung IEEE Transactions on Network Science and Engineering, 2021 | 69 | 2021 |
| Shilling attack detection for recommender systems based on credibility of group users and rating time series W Zhou, J Wen, Q Qu, J Zeng, T Cheng PloS one 13 (5), e0196533, 2018 | 67 | 2018 |
| Shilling attacks detection in recommender systems based on target item analysis W Zhou, J Wen, YS Koh, Q Xiong, M Gao, G Dobbie, S Alam PloS one 10 (7), e0130968, 2015 | 58 | 2015 |
