Baojiang Li
Impact in
- Human-Computer Interaction top 10%
- Gaze Tracking and Assistive Technology
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Tactile and Sensory Interactions
Papers in
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- EEG and Brain-Computer Interfaces 19
- Tactile and Sensory Interactions 4
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- Muscle activation and electromyography studies 7
- Co-authors
- Jun Wang (1 shared paper)Kefen Zhang (1 shared paper)Yuxin Qin (5 shared papers)Jiuchuan Wei (1 shared paper)Gang Li (1 shared paper)Zhang Li (1 shared paper)Wenlong Wang (1 shared paper)Haiyan Wang (2 shared papers)
- Journals
- Neuroscience (4 papers)Knowledge-Based Systems (3 papers)Multimedia Tools and Applications (3 papers)IEEE Transactions on Instrumentation and Measurement (3 papers)Engineering Applications of Artificial Intelligence (2 papers)
- Partner nations
- ChinaUnited KingdomSwitzerland
In The Last Decade
Baojiang Li
45 papers receiving 420 citations
Peers
Comparison fields: 5 of 102
- Human-Computer Interaction 39
- Cognitive Neuroscience 110
- Pharmacology 23
- Cellular and Molecular Neuroscience 35
- Computer Vision and Pattern Recognition 40
Countries citing papers authored by Baojiang Li
This map shows the geographic impact of Baojiang Li'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 Baojiang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baojiang Li more than expected).
Fields of papers citing papers by Baojiang Li
This network shows the impact of papers produced by Baojiang Li. 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 Baojiang Li. The network helps show where Baojiang Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Baojiang Li, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 114 | |
| 2 | 2023 | 22 | |
| 3 | 2023 | 20 | |
| 4 | 2022 | 18 | |
| 5 | 2005 | 17 | |
| 6 | 2012 | 16 | |
| 7 | 2015 | 16 | |
| 8 | 2023 | 15 | |
| 9 | 2016 | 14 | |
| 10 | 2023 | 13 | |
| 11 | 2022 | 13 | |
| 12 | 2023 | 11 | |
| 13 | 2024 | 11 | |
| 14 | 2020 | 9 | |
| 15 | 2025 | 9 | |
| 16 | Security evaluation of coal mining above the confined aquifers | 2000 | 9 |
| 17 | 2014 | 8 | |
| 18 | 2024 | 8 | |
| 19 | 2023 | 8 | |
| 20 | 2022 | 7 |
About Baojiang Li
Baojiang Li is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Computer Vision and Pattern Recognition, Molecular Biology and Cellular and Molecular Neuroscience, having authored 52 papers that have together received 425 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (19 papers), Neuroscience and Neural Engineering (7 papers), Muscle activation and electromyography studies (7 papers), Robot Manipulation and Learning (5 papers), Advanced Memory and Neural Computing (4 papers), Blind Source Separation Techniques (4 papers), Tactile and Sensory Interactions (4 papers) and Optical Imaging and Spectroscopy Techniques (3 papers). The work is most often cited by research in Human-Computer Interaction (39 citations), Cognitive Neuroscience (110 citations), Pharmacology (23 citations), Cellular and Molecular Neuroscience (35 citations) and Computer Vision and Pattern Recognition (40 citations). Baojiang Li has collaborated with scholars based in China, United Kingdom and Switzerland. Frequent co-authors include Jun Wang, Kefen Zhang, Yuxin Qin, Jiuchuan Wei, Gang Li, Zhang Li, Wenlong Wang, Haiyan Wang, Xiaoyan Li and Qifeng Yang. Their work appears in journals such as Neuroscience, Knowledge-Based Systems, Multimedia Tools and Applications, IEEE Transactions on Instrumentation and Measurement and Engineering Applications of Artificial Intelligence.
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.