J. Bao
Impact in
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
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- Robotic Path Planning Algorithms
- Human Pose and Action Recognition
Papers in
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- Robotic Path Planning Algorithms 13
- Advanced Image and Video Retrieval Techniques 4
- Multimodal Machine Learning Applications 3
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- Robot Manipulation and Learning 7
- Robotics and Automated Systems 4
- Co-authors
- Aiguo Song (12 shared papers)Yiting Liu (2 shared papers)Yu Cheng (9 shared papers)Yunyi Jia (9 shared papers)Ning Xi (9 shared papers)Yan Guo (3 shared papers)Yanyong Guo (1 shared paper)Xiulan Wen (1 shared paper)
- Journals
- Robotica (2 papers)Sensors (2 papers)International Journal of Computational Intelligence Systems (1 paper)Engineering Applications of Artificial Intelligence (1 paper)Cognitive Computation (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
J. Bao
33 papers receiving 299 citations
Peers
Comparison fields: 5 of 65
- Human-Computer Interaction 48
- Computer Vision and Pattern Recognition 154
- Control and Systems Engineering 96
- Aerospace Engineering 71
- Artificial Intelligence 48
Countries citing papers authored by J. Bao
This map shows the geographic impact of J. Bao'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 J. Bao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Bao more than expected).
Fields of papers citing papers by J. Bao
This network shows the impact of papers produced by J. Bao. 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 J. Bao. The network helps show where J. Bao may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Bao, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 49 | |
| 2 | 2020 | 29 | |
| 3 | 2011 | 23 | |
| 4 | 2019 | 20 | |
| 5 | 2011 | 19 | |
| 6 | 2015 | 18 | |
| 7 | 2020 | 15 | |
| 8 | 2010 | 12 | |
| 9 | 2018 | 12 | |
| 10 | 2016 | 11 | |
| 11 | 2011 | 10 | |
| 12 | 2020 | 10 | |
| 13 | 2009 | 9 | |
| 14 | 2009 | 8 | |
| 15 | 2018 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2009 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2012 | 5 | |
| 20 | 2023 | 4 |
About J. Bao
J. Bao is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering, Artificial Intelligence and Mechanical Engineering, having authored 34 papers that have together received 312 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (13 papers), Robotics and Sensor-Based Localization (8 papers), Robot Manipulation and Learning (7 papers), Robotics and Automated Systems (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Multimodal Machine Learning Applications (3 papers), AI-based Problem Solving and Planning (3 papers) and Teleoperation and Haptic Systems (3 papers). The work is most often cited by research in Human-Computer Interaction (48 citations), Computer Vision and Pattern Recognition (154 citations), Control and Systems Engineering (96 citations), Aerospace Engineering (71 citations) and Artificial Intelligence (48 citations). J. Bao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Aiguo Song, Yiting Liu, Yu Cheng, Yunyi Jia, Ning Xi, Yan Guo, Yanyong Guo, Xiulan Wen, Jianwei Cui and Aiguo Song. Their work appears in journals such as Robotica, Sensors, International Journal of Computational Intelligence Systems, Engineering Applications of Artificial Intelligence and Cognitive Computation.
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.