| Using deep learning to detect defects in manufacturing: a comprehensive survey and current challenges J Yang, S Li, Z Wang, H Dong, J Wang, S Tang Materials 13 (24), 5755, 2020 | 179 | 2020 |
| Modified convolutional neural network based on dropout and the stochastic gradient descent optimizer J Yang, G Yang Algorithms 11 (3), 28, 2018 | 97 | 2018 |
| Review of image classification algorithms based on convolutional neural networks L Chen, S Li, Q Bai, J Yang, S Jiang, Y Miao Remote Sensing 13 (22), 4712, 2021 | 84 | 2021 |
| Real-time tiny part defect detection system in manufacturing using deep learning J Yang, S Li, Z Wang, G Yang IEEE Access 7, 89278-89291, 2019 | 76 | 2019 |
| Object detection recognition and robot grasping based on machine learning: A survey Q Bai, S Li, J Yang, Q Song, Z Li, X Zhang IEEE access 8, 181855-181879, 2020 | 47 | 2020 |
| Convolutional neural network-based embarrassing situation detection under camera for social robot in smart homes G Yang, J Yang, W Sheng, FEF Junior, S Li Sensors 18 (5), 1530, 2018 | 39 | 2018 |
| Review of development and application of defect detection technology S Li, J Yang, Z Wang, S Zhu, G Yang Acta Automatica Sinica 46 (11), 2319-2336, 2020 | 34 | 2020 |
| Real-time recognition method for 0.8 cm darning needles and KR22 bearings based on convolution neural networks and data increase J Yang, S Li, Z Gao, Z Wang, W Liu Applied Sciences 8 (10), 1857, 2018 | 25 | 2018 |
| Object detection method for grasping robot based on improved YOLOv5 Q Song, S Li, Q Bai, J Yang, X Zhang, Z Li, Z Duan Micromachines 12 (11), 1273, 2021 | 24 | 2021 |
| Modified CNN algorithm based on Dropout and ADAM optimizer GC Yang, J Yang, SB Li, JJ Hu J. Huazhong Univ. Sci. Technol.(Nat. Sci. Ed.) 46 (7), 122-127, 2018 | 23 | 2018 |
| 基于 Dopout 与 ADAM 优化器的改进 CNN 算法 杨观赐， 杨静， 李少波， 胡建军 华中科技大学学报: 自然科学版 46 (7), 122-127, 2018 | 21 | 2018 |
| Improved YOLO feature extraction algorithm and its application to privacy situation detection of social robots GC Yang, J Yang, ZD Su, ZJ Chen Acta Automatica Sinica 44 (12), 2238-2249, 2018 | 16 | 2018 |
| 深度学习目标检测方法及其主流框架综述 段仲静， 李少波， 胡建军， 杨静， 王铮 激光与光电子学进展 57 (12), 120005, 2020 | 14 | 2020 |
| 缺陷检测技术的发展与应用研究综述 李少波， 杨静， 王铮， 朱书德， 杨观赐 自动化学报 46 (11), 2319-2336, 2020 | 13 | 2020 |
| Intelligent optimization algorithm-based path planning for a mobile robot Q Song, S Li, J Yang, Q Bai, J Hu, X Zhang, A Zhang Computational Intelligence and Neuroscience 2021, 2021 | 10 | 2021 |
| Trajectory planning of robot manipulator based on RBF neural network Q Song, S Li, Q Bai, J Yang, A Zhang, X Zhang, L Zhe Entropy 23 (9), 1207, 2021 | 10 | 2021 |
| Investigation on shearing strength of resistance spot-welded joints of dissimilar steel plates with varying welding current and time L Chen, Y Zhang, X Xue, B Wang, J Yang, Z Zhang, N Tyrer, GC Barber Journal of Materials Research and Technology 16, 1021-1028, 2022 | 7 | 2022 |
| DBA_SSD: A novel end-to-end object detection algorithm applied to plant disease detection J Wang, L Yu, J Yang, H Dong Information 12 (11), 474, 2021 | 7 | 2021 |
| Gear fault diagnosis through vibration and acoustic signal combination based on convolutional neural network L Yu, X Yao, J Yang, C Li Information 11 (5), 266, 2020 | 6 | 2020 |
| 改进的 YOLO 特征提取算法及其在服务机器人隐私情境检测中的应用 杨观赐， 杨静， 苏志东， 陈占杰 自动化学报 44 (12), 2238-2249, 2018 | 6 | 2018 |
Jianjun HuProfessor of Computer Science, University of South Carolina在 cse.sc.edu 的电子邮件经过验证
