| Twin support tensor machines for MCs detection X Zhang, X Gao, Y Wang Journal of Electronics (China) 26 (3), 318-325, 2009 | 51 | 2009 |
| Boosting twin support vector machine approach for MCs detection X Zhang 2009 Asia-Pacific Conference on Information Processing 1, 149-152, 2009 | 31 | 2009 |
| Twin support vector machines and subspace learning methods for microcalcification clusters detection X Zhang, X Gao Engineering Applications of Artificial Intelligence 25 (5), 1062-1072, 2012 | 29 | 2012 |
| MCs Detection with Combined Image Features and Twin Support Vector Machines. X Zhang, X Gao, Y Wang J. Comput. 4 (3), 215-221, 2009 | 23 | 2009 |
| A new deep spatial transformer convolutional neural network for image saliency detection X Zhang, T Gao, D Gao Design Automation for Embedded Systems 22, 243-256, 2018 | 18 | 2018 |
| MCs detection approach using Bagging and Boosting based twin support vector machine X Zhang, X Gao, M Wang 2009 IEEE International Conference on Systems, Man and Cybernetics, 5000-5505, 2009 | 17 | 2009 |
| An attention‐based Logistic‐CNN‐BiLSTM hybrid neural network for credit risk prediction of listed real estate enterprises X Zhang, Y Ma, M Wang Expert Systems 41 (2), e13299, 2024 | 16 | 2024 |
| A new approach for clustered MCs classification with sparse features learning and TWSVM XS Zhang The Scientific World Journal 2014 (1), 970287, 2014 | 14 | 2014 |
| Mammograms Enhancement and Denoising Using Generalized Gaussian Mixture Model in Nonsubsampled Contourlet Transform Domain. X Zhang, H Xie Journal of Multimedia 4 (6), 2009 | 14 | 2009 |
| Corrosion prediction of submarine pipelines based on improved random forest model Z Xinsheng, CAI Baoquan China Safety Science Journal 31 (8), 69, 2021 | 11 | 2021 |
| Multi-head attention model for aspect level sentiment analysis X Zhang, T Gao Journal of Intelligent & Fuzzy Systems 38 (1), 89-96, 2020 | 11 | 2020 |
| A New Ensemble Learning Approach for Microcalcification Clusters Detection. X Zhang J. Softw. 4 (9), 1014-1021, 2009 | 11 | 2009 |
| Application of modified empennage residual error GM (1, 1) model in prediction of pipeline corrosion Z Xinsheng, Z Mengxu, W Xiaowan China Safety Science Journal 27 (1), 65, 2017 | 10 | 2017 |
| Industrial character recognition based on improved CRNN in complex environments Z XinSheng, W Yu Computers in Industry 142, 103732, 2022 | 9 | 2022 |
| Maintenance strategy of corroded oil-gas pipeline based on inverse Gaussian process X Zhang, Y Li, X Wang Acta Petrolei Sinica 38 (3), 356, 2017 | 9 | 2017 |
| Sparse representation for detection of microcalcification clusters X Zhang, M Wang, JMJ Ma TELKOMNIKA (Telecommunication Computing Electronics and Control) 10 (3), 545-550, 2012 | 9 | 2012 |
| Pipeline risk big data intelligent decision-making system based on machine learning and situation awareness X Zhong, X Zhang, P Zhang Neural Computing and Applications 34 (18), 15221-15239, 2022 | 8 | 2022 |
| Reliability analysis of aged natural gas pipelines based on utility theory X Zhang, W Li, Z Luo, H He Engineering Review: Međunarodni časopis namijenjen publiciranju originalnih …, 2015 | 8 | 2015 |
| An Emotion-Aware Approach for Fake News Detection F Liu, X Zhang, Q Liu IEEE Transactions on Computational Social Systems, 2023 | 7 | 2023 |
| Imbalanced Text Sentiment Classification Based on Multi-Channel BLTCN-BLSTM Self-Attention T Cai, X Zhang Sensors 23 (4), 2257, 2023 | 7 | 2023 |
