| Alcoholism identification via convolutional neural network based on parametric ReLU, dropout, and batch normalization SH Wang, K Muhammad, J Hong, AK Sangaiah, YD Zhang Neural Computing and Applications 32, 665-680, 2020 | 206 | 2020 |
| Detecting cerebral microbleeds with transfer learning J Hong, H Cheng, YD Zhang, J Liu Machine Vision and Applications 30 (7), 1123-1133, 2019 | 62 | 2019 |
| Rapid estimation of permeability from digital rock using 3D convolutional neural network J Hong, J Liu Computational Geosciences 24 (4), 1523-1539, 2020 | 55 | 2020 |
| Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation J Hong, YD Zhang, W Chen Knowledge-Based Systems 250, 109155, 2022 | 43 | 2022 |
| Brain age prediction of children using routine brain MR images via deep learning J Hong, Z Feng, SH Wang, A Peet, YD Zhang, Y Sun, M Yang Frontiers in Neurology 11, 584682, 2020 | 38 | 2020 |
| Unsupervised domain adaptation for cross-modality liver segmentation via joint adversarial learning and self-learning J Hong, SCH Yu, W Chen Applied Soft Computing 121, 108729, 2022 | 37 | 2022 |
| Sensorineural hearing loss identification via nine-layer convolutional neural network with batch normalization and dropout SH Wang, J Hong, M Yang Multimedia Tools and Applications 79, 15135-15150, 2020 | 30 | 2020 |
| Classification of cerebral microbleeds based on fully-optimized convolutional neural network J Hong, SH Wang, H Cheng, J Liu Multimedia Tools and Applications 79 (21), 15151-15169, 2020 | 26 | 2020 |
| Imagecas: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images A Zeng, C Wu, G Lin, W Xie, J Hong, M Huang, J Zhuang, S Bi, D Pan, ... Computerized Medical Imaging and Graphics 109, 102287, 2023 | 16 | 2023 |
| Improvement of cerebral microbleeds detection based on discriminative feature learning J Hong, H Cheng, SH Wang, J Liu Fundamenta Informaticae 168 (2-4), 231-248, 2019 | 16 | 2019 |
| Medical big data and artificial intelligence for healthcare Y Zhang, J Hong, S Chen Applied Sciences 13 (6), 3745, 2023 | 10 | 2023 |
| Source-free unsupervised adaptive segmentation for knee joint MRI S Li, S Zhao, Y Zhang, J Hong, W Chen Biomedical Signal Processing and Control 92, 106028, 2024 | 8 | 2024 |
| Cerebral microbleeds detection via discrete wavelet transform and back propagation neural network J Hong, Z Lu 2nd International Conference on Social Science, Public Health and Education …, 2019 | 6 | 2019 |
| Attention-guided cascaded network with pixel-importance-balance loss for retinal vessel segmentation H Su, L Gao, Y Lu, H Jing, J Hong, L Huang, Z Chen Frontiers in Cell and Developmental Biology 11, 1196191, 2023 | 5 | 2023 |
| 基于机器学习的岩石微量元素与主量元素关系初探: 以洋岛玄武岩中锆元素为例 洪瑾， 甘成势， 刘洁 地质科学 53 (4), 1285-1299, 2018 | 4 | 2018 |
| Brain Functional Network Generation using Distribution-Regularized Adversarial Graph Autoencoder with Transformer for Dementia Diagnosis Q Zuo, J Hu, Y Zhang, J Pan, C Jing, X Chen, X Meng, J Hong Computer Modeling in Engineering & Sciences 2023, 2023 | 2 | 2023 |
| Voting-based contour-aware framework for medical image segmentation Q Deng, R Zhang, S Li, J Hong, YD Zhang, WCW Chu, L Shi Applied Sciences 13 (1), 84, 2022 | 2 | 2022 |
| Cerebral microbleeds detection via convolutional neural network with and without batch normalization J Hong, J Liu Frontiers in Intelligent Computing: Theory and Applications: Proceedings of …, 2020 | 2 | 2020 |
| 基于机器学习的洋岛玄武岩主量元素预测稀土元素 洪瑾， 甘成势， 刘洁 地学前缘 26 (4), 45-54, 2019 | 2 | 2019 |
| 频谱激电法在铜陵市某滑坡地段滑动面勘探中的应用 罗传华， 昌彦君， 李志华， 洪瑾， 赵顺杰 工程地球物理学报 14 (1), 26-30, 2017 | 2 | 2017 |
Yudong ZhangUniversity of Leicester, HFWLA/FIET/FEAI/FBCS/SMIEEE/SMACM/DSACM, Clarivate Highly Cited Researcher在 le.ac.uk 的电子邮件经过验证
