Zhonghao Wu
Impact in
- Transplantation top 10%
-
- Soft Robotics and Applications
- Advanced Surface Polishing Techniques
Papers in
-
- Soft Robotics and Applications 12
- Advanced Surface Polishing Techniques 4
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- Robot Manipulation and Learning 7
- Co-authors
- Kai Xu (14 shared papers)Bin Zhao (1 shared paper)Jiangran Zhao (3 shared papers)Yuyang Chen (2 shared papers)Qingquan Luo (2 shared papers)Bo Yang (1 shared paper)Qi Li (2 shared papers)Dingliang Dai (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (2 papers)Mechanism and Machine Theory (2 papers)Chemistry Letters (1 paper)Frontiers of Medicine (1 paper)Science China Technological Sciences (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Zhonghao Wu
26 papers receiving 302 citations
Peers
Comparison fields: 5 of 67
- Transplantation 19
- Biomedical Engineering 176
- Control and Systems Engineering 83
- Renewable Energy, Sustainability and the Environment 34
- Mechanical Engineering 69
Countries citing papers authored by Zhonghao Wu
This map shows the geographic impact of Zhonghao Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zhonghao Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhonghao Wu more than expected).
Fields of papers citing papers by Zhonghao Wu
This network shows the impact of papers produced by Zhonghao Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zhonghao Wu. The network helps show where Zhonghao Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhonghao Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 52 | |
| 2 | 2020 | 48 | |
| 3 | 2021 | 37 | |
| 4 | 2023 | 34 | |
| 5 | 2019 | 29 | |
| 6 | 2019 | 28 | |
| 7 | 2021 | 14 | |
| 8 | 2018 | 12 | |
| 9 | 2022 | 8 | |
| 10 | 2018 | 8 | |
| 11 | 2019 | 7 | |
| 12 | 2021 | 5 | |
| 13 | 2020 | 4 | |
| 14 | 2025 | 3 | |
| 15 | 2018 | 2 | |
| 16 | 2016 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2020 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Zhonghao Wu
Zhonghao Wu is a scholar working on Biomedical Engineering, Control and Systems Engineering, Surgery, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 27 papers that have together received 305 indexed citations. Recurring topics across this work include Soft Robotics and Applications (12 papers), Robot Manipulation and Learning (7 papers), Surgical Simulation and Training (5 papers), Teleoperation and Haptic Systems (4 papers), Advanced Surface Polishing Techniques (4 papers), Anomaly Detection Techniques and Applications (3 papers), Augmented Reality Applications (2 papers) and Advanced Photocatalysis Techniques (2 papers). The work is most often cited by research in Transplantation (19 citations), Biomedical Engineering (176 citations), Control and Systems Engineering (83 citations), Renewable Energy, Sustainability and the Environment (34 citations) and Mechanical Engineering (69 citations). Zhonghao Wu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Kai Xu, Bin Zhao, Jiangran Zhao, Yuyang Chen, Qingquan Luo, Bo Yang, Qi Li, Dingliang Dai, Yong Tang and Guanglu Xia. Their work appears in journals such as IEEE Robotics and Automation Letters, Mechanism and Machine Theory, Chemistry Letters, Frontiers of Medicine and Science China Technological Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.