| Pathological brain detection based on AlexNet and transfer learning S Lu, Z Lu, YD Zhang Journal of computational science 30, 41-47, 2019 | 391 | 2019 |
| A review on extreme learning machine J Wang, S Lu, SH Wang, YD Zhang Multimedia Tools and Applications 81 (29), 41611-41660, 2022 | 288 | 2022 |
| Comparison of machine learning methods for stationary wavelet entropy-based multiple sclerosis detection: decision tree, k-nearest neighbors, and support vector … Y Zhang, S Lu, X Zhou, M Yang, L Wu, B Liu, P Phillips, S Wang Simulation 92 (9), 861-871, 2016 | 209 | 2016 |
| Detection of abnormal brain in MRI via improved AlexNet and ELM optimized by chaotic bat algorithm S Lu, SH Wang, YD Zhang Neural Computing and Applications 33 (17), 10799-10811, 2021 | 208 | 2021 |
| Deep learning in food category recognition Y Zhang, L Deng, H Zhu, W Wang, Z Ren, Q Zhou, S Lu, S Sun, Z Zhu, ... Information Fusion 98, 101859, 2023 | 183 | 2023 |
| Advances in data preprocessing for biomedical data fusion: An overview of the methods, challenges, and prospects S Wang, ME Celebi, YD Zhang, X Yu, S Lu, X Yao, Q Zhou, MG Miguel, ... Information Fusion 76, 376-421, 2021 | 154 | 2021 |
| Dual-tree complex wavelet transform and twin support vector machine for pathological brain detection S Wang, S Lu, Z Dong, J Yang, M Yang, Y Zhang Applied Sciences 6 (6), 169, 2016 | 146 | 2016 |
| NAGNN: classification of COVID‐19 based on neighboring aware representation from deep graph neural network S Lu, Z Zhu, JM Gorriz, SH Wang, YD Zhang International Journal of Intelligent Systems 37 (2), 1572-1598, 2022 | 128 | 2022 |
| Smart detection on abnormal breasts in digital mammography based on contrast-limited adaptive histogram equalization and chaotic adaptive real-coded biogeography-based optimization Y Zhang, X Wu, S Lu, H Wang, P Phillips, S Wang Simulation 92 (9), 873-885, 2016 | 108 | 2016 |
| A pathological brain detection system based on extreme learning machine optimized by bat algorithm S Lu, X Qiu, J Shi, N Li, ZH Lu, P Chen, MM Yang, FY Liu, WJ Jia, ... CNS & Neurological Disorders-Drug Targets (Formerly Current Drug Targets-CNS …, 2017 | 91 | 2017 |
| ResGNet-C: A graph convolutional neural network for detection of COVID-19 X Yu, S Lu, L Guo, SH Wang, YD Zhang Neurocomputing 452, 592-605, 2021 | 76 | 2021 |
| A pathological brain detection system based on kernel based ELM S Lu, Z Lu, J Yang, M Yang, S Wang Multimedia tools and applications 77, 3715-3728, 2018 | 74 | 2018 |
| A pathological brain detection system based on radial basis function neural network Z Lu, S Lu, G Liu, Y Zhang, J Yang, P Phillips Journal of Medical Imaging and Health Informatics 6 (5), 1218-1222, 2016 | 70 | 2016 |
| Exploring a smart pathological brain detection method on pseudo Zernike moment YD Zhang, Y Jiang, W Zhu, S Lu, G Zhao Multimedia Tools and Applications 77, 22589-22604, 2018 | 64 | 2018 |
| Diagnosis of COVID-19 pneumonia via a novel deep learning architecture X Zhang, S Lu, SH Wang, X Yu, SJ Wang, L Yao, Y Pan, YD Zhang Journal of computer science and technology 37 (2), 330-343, 2022 | 62 | 2022 |
| Detection of left-sided and right-sided hearing loss via fractional Fourier transform S Wang, M Yang, Y Zhang, J Li, L Zou, S Lu, B Liu, J Yang, Y Zhang Entropy 18 (5), 194, 2016 | 57 | 2016 |
| A classification method for brain MRI via MobileNet and feedforward network with random weights SY Lu, SH Wang, YD Zhang Pattern Recognition Letters 140, 252-260, 2020 | 55 | 2020 |
| Pathological brain detection by artificial intelligence in magnetic resonance imaging scanning (invited review) S Wang, Y Zhang, T Zhan, P Phillips, YD Zhang, G Liu, S Lu, X Wu Progress in Electromagnetics Research 156, 105-133, 2016 | 50 | 2016 |
| Fruit classification based on six layer convolutional neural network S Lu, Z Lu, S Aok, L Graham 2018 IEEE 23rd International conference on digital signal processing (DSP), 1-5, 2018 | 48 | 2018 |
| Detecting pathological brain via ResNet and randomized neural networks S Lu, SH Wang, YD Zhang Heliyon 6 (12), 2020 | 40 | 2020 |
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
