Jeng-Wei Lin
Impact in
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- EEG and Brain-Computer Interfaces
- Signal Processing top 10%
- Blind Source Separation Techniques
Papers in
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- Handwritten Text Recognition Techniques 5
- Advanced Data Compression Techniques 3
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- EEG and Brain-Computer Interfaces 10
- Co-authors
- Ray-I Chang (9 shared papers)Feipei Lai (16 shared papers)Fang−Yie Leu (7 shared papers)Ming‐Jang Chiu (9 shared papers)Shin‐Jye Lee (1 shared paper)Yu‐Sheng Lin (1 shared paper)Hsin‐Chun Lu (1 shared paper)Hsiu‐Mei Chen (1 shared paper)
In The Last Decade
Jeng-Wei Lin
37 papers receiving 390 citations
Peers
Comparison fields: 5 of 105
- Cognitive Neuroscience 101
- Signal Processing 57
- Computer Vision and Pattern Recognition 91
- Health Information Management 15
- Biophysics 14
Countries citing papers authored by Jeng-Wei Lin
This map shows the geographic impact of Jeng-Wei 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 Jeng-Wei Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeng-Wei Lin more than expected).
Fields of papers citing papers by Jeng-Wei Lin
This network shows the impact of papers produced by Jeng-Wei 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 Jeng-Wei Lin. The network helps show where Jeng-Wei Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeng-Wei Lin, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 45 | |
| 2 | 2020 | 39 | |
| 3 | 2022 | 33 | |
| 4 | 2013 | 31 | |
| 5 | 2011 | 28 | |
| 6 | 2018 | 26 | |
| 7 | 2015 | 22 | |
| 8 | 2016 | 22 | |
| 9 | 2013 | 20 | |
| 10 | 2009 | 17 | |
| 11 | 2010 | 16 | |
| 12 | 2019 | 13 | |
| 13 | 2019 | 10 | |
| 14 | 2018 | 10 | |
| 15 | 2015 | 9 | |
| 16 | 2014 | 8 | |
| 17 | 2013 | 8 | |
| 18 | 2012 | 6 | |
| 19 | 2013 | 6 | |
| 20 | 2015 | 6 |
About Jeng-Wei Lin
Jeng-Wei Lin is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 43 papers that have together received 404 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (10 papers), ECG Monitoring and Analysis (6 papers), Blind Source Separation Techniques (5 papers), Handwritten Text Recognition Techniques (5 papers), Caching and Content Delivery (4 papers), Peer-to-Peer Network Technologies (4 papers), Advanced Data Compression Techniques (3 papers) and Network Packet Processing and Optimization (3 papers). The work is most often cited by research in Cognitive Neuroscience (101 citations), Signal Processing (57 citations), Computer Vision and Pattern Recognition (91 citations), Health Information Management (15 citations) and Biophysics (14 citations). Jeng-Wei Lin has collaborated with scholars based in Taiwan, Japan and Indonesia. Frequent co-authors include Ray-I Chang, Feipei Lai, Fang−Yie Leu, Ming‐Jang Chiu, Shin‐Jye Lee, Yu‐Sheng Lin, Hsin‐Chun Lu, Hsiu‐Mei Chen, Wei Chen and Jan-Ming Ho. Their work appears in journals such as Electronics, Sensors, PLoS ONE, International Journal of Information Management and Soft Computing.
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.