Baoru Huang
Impact in
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- Advanced Vision and Imaging
- Augmented Reality Applications
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- Robot Manipulation and Learning
Papers in
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- Advanced Vision and Imaging 4
- Augmented Reality Applications 3
- Multimodal Machine Learning Applications 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)Lin Zhang (1 shared paper)Dandan Zhang (1 shared paper)Jindong Liu (1 shared paper)Li Jiang (1 shared paper)
- Journals
- IEEE Transactions on Medical Robotics and Bionics (5 papers)Advanced Engineering Informatics (1 paper)Electronics (1 paper)International Journal of Computer Assisted Radiology and Surgery (1 paper)IEEE Robotics and Automation Letters (1 paper)
- Partner nations
- United KingdomAustriaVietnam
In The Last Decade
Baoru Huang
18 papers receiving 183 citations
Peers
Comparison fields: 5 of 42
- Computer Vision and Pattern Recognition 73
- Control and Systems Engineering 53
- Biomedical Engineering 75
- Media Technology 14
- Aerospace Engineering 26
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 34 | |
| 2 | 2024 | 20 | |
| 3 | 2021 | 20 | |
| 4 | 2021 | 18 | |
| 5 | 2022 | 15 | |
| 6 | 2020 | 11 | |
| 7 | 2022 | 11 | |
| 8 | 2024 | 10 | |
| 9 | 2024 | 9 | |
| 10 | 2022 | 9 | |
| 11 | 2023 | 8 | |
| 12 | 2021 | 8 | |
| 13 | 2023 | 6 | |
| 14 | 2024 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 0 | |
| 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 23 papers that have together received 189 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (5 papers), Robotics and Sensor-Based Localization (4 papers), Soft Robotics and Applications (4 papers), Advanced Vision and Imaging (4 papers), Reinforcement Learning in Robotics (3 papers), Augmented Reality Applications (3 papers), Multimodal Machine Learning Applications (2 papers) and Image Processing Techniques and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (73 citations), Control and Systems Engineering (53 citations), Biomedical Engineering (75 citations), Media Technology (14 citations) and Aerospace Engineering (26 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, Lin Zhang, Dandan Zhang, Jindong Liu, Li Jiang, Lei Wang and Anh Nguyen. Their work appears in journals such as IEEE Transactions on Medical Robotics and Bionics, Advanced Engineering Informatics, Electronics, International Journal of Computer Assisted Radiology and Surgery and IEEE Robotics and Automation Letters.
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.