Papers
44
Total Citations
1,249
H-Index
18
About
Mingchuan Zhou is a versatile researcher whose work spans two dynamically evolving domains: medical robotics and intelligent agricultural technology. In the medical field, Zhou has made significant contributions to robotic-assisted microsurgery and automated ultrasound systems. His pioneering work on a hybrid parallel-serial robot for subretinal injection (114 citations) addresses critical surgical challenges including hand tremor and limited visual feedback, while his series of robotic ultrasound studies — covering automatic probe positioning, tubular structure screening, and deformation-aware 3D imaging — collectively represent a compelling body of work attracting nearly 320 citations, advancing the repeatability and precision of diagnostic imaging. Equally impressive is Zhou's parallel contributions to smart agriculture: his review of information perception in modern poultry farming (115 citations), a YOLOv3-based tea bud detection system (106 citations), ResNet-50-based chicken gender identification, and 3D reconstruction methods for automated jujube tree pruning collectively demonstrate a commitment to transforming traditional farming through computer vision and deep learning. His exploration of deep reinforcement learning for trajectory planning further underscores his interdisciplinary reach. With over 830 cumulative citations, Zhou's research is shaping the future of both precision medicine and intelligent agriculture.
Research Focus
Key Achievements
Top Papers
- 1Information perception in modern poultry farming: A review115 citations · 2022
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- 8Improved ResNet-50 deep learning algorithm for identifying chicken gender63 citations · 2023
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- 10Deformation-Aware Robotic 3D Ultrasound47 citations · 2021