Baoru Huang
Impact in
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- Advanced Vision and Imaging
- Medical Image Segmentation Techniques
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- Robot Manipulation and Learning
Papers in
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- Advanced Vision and Imaging 4
- Human Pose and Action Recognition 2
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- Robot Manipulation and Learning 5
- Co-authors
- Daniel S. Elson (6 shared papers)Stamatia Giannarou (4 shared papers)Guang‐Zhong Yang (2 shared papers)Bo Xiao (2 shared papers)Jindong Liu (1 shared paper)Lin Zhang (1 shared paper)Dandan Zhang (1 shared paper)Anh Nguyen (6 shared papers)
- Journals
- IEEE Transactions on Medical Robotics and Bionics (5 papers)Advanced Engineering Informatics (1 paper)Medical Image Analysis (1 paper)IEEE Robotics and Automation Letters (1 paper)Electronics (1 paper)
- Partner nations
- United KingdomAustriaVietnam
In The Last Decade
Baoru Huang
19 papers receiving 211 citations
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 77
- Control and Systems Engineering 61
- Biomedical Engineering 76
- Media Technology 14
- Surgery 45
Countries citing papers authored by Baoru Huang
This map shows the geographic impact of Baoru Huang'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 Baoru Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baoru Huang more than expected).
Fields of papers citing papers by Baoru Huang
This network shows the impact of papers produced by Baoru Huang. 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 Baoru Huang. The network helps show where Baoru Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Baoru Huang, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 35 | |
| 2 | 2024 | 25 | |
| 3 | 2021 | 20 | |
| 4 | 2021 | 20 | |
| 5 | 2022 | 17 | |
| 6 | 2024 | 13 | |
| 7 | 2020 | 12 | |
| 8 | 2024 | 11 | |
| 9 | 2022 | 11 | |
| 10 | 2023 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2024 | 4 | |
| 16 | 2024 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 0 |
About Baoru Huang
Baoru Huang is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Biomedical Engineering and Aerospace Engineering, having authored 24 papers that have together received 214 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (5 papers), Advanced Vision and Imaging (4 papers), Soft Robotics and Applications (3 papers), Reinforcement Learning in Robotics (3 papers), Robotics and Sensor-Based Localization (3 papers), Surgical Simulation and Training (2 papers), Human Pose and Action Recognition (2 papers) and Image Processing Techniques and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (77 citations), Control and Systems Engineering (61 citations), Biomedical Engineering (76 citations), Media Technology (14 citations) and Surgery (45 citations). Baoru Huang has collaborated with scholars based in United Kingdom, Austria and Vietnam. Frequent co-authors include Daniel S. Elson, Stamatia Giannarou, Guang‐Zhong Yang, Bo Xiao, Jindong Liu, Lin Zhang, Dandan Zhang, Anh Nguyen, Lei Wang and Jian-Qing Zheng. Their work appears in journals such as IEEE Transactions on Medical Robotics and Bionics, Advanced Engineering Informatics, Medical Image Analysis, IEEE Robotics and Automation Letters and Electronics.
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.