Chuang Lin
- Cognitive Neuroscience top 2%
- Biomedical Engineering top 5%
- Computer Vision and Pattern Recognition top 2%
- Cellular and Molecular Neuroscience top 5%
- Artificial Intelligence top 10%
- Co-authors
- Dario FarinaNing JiangZhengjun LiuShutian LiuLie XuNatalie Mrachacz‐KerstingKim DremstrupRen Xu
- Topics
- EEG and Brain-Computer Interfaces (26 papers)Muscle activation and electromyography studies (22 papers)Neuroscience and Neural Engineering (13 papers)
- Journals
- IEEE AccessIEEE Transactions on Biomedical EngineeringIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Chuang Lin
72 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 111
- Cognitive Neuroscience 736
- Biomedical Engineering 712
- Computer Vision and Pattern Recognition 380
- Cellular and Molecular Neuroscience 340
- Artificial Intelligence 180
Countries citing papers authored by Chuang Lin
This map shows the geographic impact of Chuang Lin'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 Chuang Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chuang Lin more than expected).
Fields of papers citing papers by Chuang Lin
This network shows the impact of papers produced by Chuang Lin. 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 Chuang Lin. The network helps show where Chuang Lin may publish in the future.
Co-authorship network of co-authors of Chuang Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Chuang Lin. A scholar is included among the top collaborators of Chuang Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chuang Lin. Chuang Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 20 | |
| 4 | 4 | |
| 5 | 58 | |
| 6 | 60 | |
| 7 | 32 | |
| 8 | 41 | |
| 9 | 13 | |
| 10 | 114 | |
| 11 | 73 | |
| 12 | 80 | |
| 13 | 34 | |
| 14 | 16 | |
| 15 | 53 | |
| 16 | 10 | |
| 17 | 23 | |
| 18 | 163 | |
| 19 | 83 | |
| 20 | Damages by excretion of Apopestes spectrum (Esper) imagos on the Dunhuang murals and their control | 3 |
About Chuang Lin
Chuang Lin is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 74 papers that have together received 1.6k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (26 papers), Muscle activation and electromyography studies (22 papers) and Neuroscience and Neural Engineering (13 papers). The work is most often cited by research in Cognitive Neuroscience (736 citations), Human-Computer Interaction (168 citations) and Rehabilitation (146 citations). Chuang Lin has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Dario Farina, Ning Jiang, Zhengjun Liu, Shutian Liu, Lie Xu, Natalie Mrachacz‐Kersting, Kim Dremstrup, Ren Xu, Weiyu Guo and Chenfei Ma. Their work appears in journals such as IEEE Access, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Intelligent Transportation Systems.
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.