Chun‐Ling Lin
Impact in
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- Artificial Intelligence in Healthcare
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- ECG Monitoring and Analysis
Papers in
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- EEG and Brain-Computer Interfaces 10
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- Evolutionary Algorithms and Applications 5
- Metaheuristic Optimization Algorithms Research 5
- Co-authors
- Kun‐Chi Wu (1 shared paper)Sheng-Ta Hsieh (18 shared papers)Chin‐Teng Lin (8 shared papers)Li‐Wei Ko (3 shared papers)Chan-Cheng Liu (5 shared papers)Tsung-Ying Sun (6 shared papers)Bor‐Shyh Lin (1 shared paper)Yuan‐Teh Lee (1 shared paper)
- Journals
- Electronics (5 papers)Heliyon (2 papers)Measurement (1 paper)Knowledge-Based Systems (1 paper)PeerJ Computer Science (1 paper)
- Partner nations
- TaiwanUnited StatesGermany
In The Last Decade
Chun‐Ling Lin
50 papers receiving 504 citations
Peers
Comparison fields: 5 of 107
- Health Information Management 42
- Cardiology and Cardiovascular Medicine 117
- Cognitive Neuroscience 96
- Computer Vision and Pattern Recognition 76
- Signal Processing 39
Countries citing papers authored by Chun‐Ling Lin
This map shows the geographic impact of Chun‐Ling 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 Chun‐Ling Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Ling Lin more than expected).
Fields of papers citing papers by Chun‐Ling Lin
This network shows the impact of papers produced by Chun‐Ling 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 Chun‐Ling Lin. The network helps show where Chun‐Ling Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun‐Ling 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 135 | |
| 2 | 2023 | 67 | |
| 3 | 2008 | 56 | |
| 4 | 2013 | 28 | |
| 5 | 2011 | 27 | |
| 6 | 2023 | 18 | |
| 7 | 2011 | 14 | |
| 8 | 2023 | 11 | |
| 9 | 2022 | 11 | |
| 10 | 2012 | 11 | |
| 11 | 2013 | 11 | |
| 12 | 2014 | 10 | |
| 13 | 2018 | 10 | |
| 14 | 2022 | 9 | |
| 15 | 2020 | 9 | |
| 16 | 2024 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2003 | 7 | |
| 19 | 2006 | 7 | |
| 20 | 2024 | 5 |
About Chun‐Ling Lin
Chun‐Ling Lin is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Cardiology and Cardiovascular Medicine, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 56 papers that have together received 529 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (10 papers), Non-Invasive Vital Sign Monitoring (8 papers), Retinal Imaging and Analysis (6 papers), Evolutionary Algorithms and Applications (5 papers), Metaheuristic Optimization Algorithms Research (5 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), ECG Monitoring and Analysis (5 papers) and Machine Fault Diagnosis Techniques (4 papers). The work is most often cited by research in Health Information Management (42 citations), Cardiology and Cardiovascular Medicine (117 citations), Cognitive Neuroscience (96 citations), Computer Vision and Pattern Recognition (76 citations) and Signal Processing (39 citations). Chun‐Ling Lin has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Kun‐Chi Wu, Sheng-Ta Hsieh, Chin‐Teng Lin, Li‐Wei Ko, Chan-Cheng Liu, Tsung-Ying Sun, Bor‐Shyh Lin, Yuan‐Teh Lee, Ray‐Jade Chen and Kuan‐Cheng Chang. Their work appears in journals such as Electronics, Heliyon, Measurement, Knowledge-Based Systems and PeerJ Computer Science.
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.