Chih-Yang Chen
Impact in
- Cognitive Neuroscience top 5%
- Visual perception and processing mechanisms
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- EEG and Brain-Computer Interfaces
- Sensory Systems top 5%
- Olfactory and Sensory Function Studies
Papers in
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- Visual perception and processing mechanisms 15
- Neural dynamics and brain function 14
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- Retinal Development and Disorders 6
- Co-authors
- Ziad M. Hafed (13 shared papers)Xiaoguang Tian (3 shared papers)Peter Thier (1 shared paper)Alla Ignashchenkova (1 shared paper)Klaus‐Peter Hoffmann (2 shared papers)Joachim Bellet (1 shared paper)Lukas Sonnenberg (1 shared paper)C. Distler (1 shared paper)
In The Last Decade
Chih-Yang Chen
26 papers receiving 800 citations
Peers
Comparison fields: 5 of 76
- Cognitive Neuroscience 592
- Sensory Systems 90
- Ophthalmology 57
- Human-Computer Interaction 35
- Experimental and Cognitive Psychology 71
Countries citing papers authored by Chih-Yang Chen
This map shows the geographic impact of Chih-Yang Chen'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 Chih-Yang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chih-Yang Chen more than expected).
Fields of papers citing papers by Chih-Yang Chen
This network shows the impact of papers produced by Chih-Yang Chen. 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 Chih-Yang Chen. The network helps show where Chih-Yang Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chih-Yang Chen, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 89 | |
| 2 | 2016 | 87 | |
| 3 | 2015 | 84 | |
| 4 | 2013 | 65 | |
| 5 | 2018 | 59 | |
| 6 | 2019 | 50 | |
| 7 | 2017 | 47 | |
| 8 | 2018 | 42 | |
| 9 | 2019 | 41 | |
| 10 | 2017 | 40 | |
| 11 | 2017 | 37 | |
| 12 | 2023 | 32 | |
| 13 | 2018 | 30 | |
| 14 | 2021 | 18 | |
| 15 | 2017 | 15 | |
| 16 | 2020 | 14 | |
| 17 | 2010 | 14 | |
| 18 | 2013 | 10 | |
| 19 | 2008 | 9 | |
| 20 | 2020 | 8 |
About Chih-Yang Chen
Chih-Yang Chen is a scholar working on Cognitive Neuroscience, Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 803 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (15 papers), Neural dynamics and brain function (14 papers), Retinal Development and Disorders (6 papers), Robotic Path Planning Algorithms (2 papers), Olfactory and Sensory Function Studies (2 papers), Central Venous Catheters and Hemodialysis (2 papers), AI in cancer detection (2 papers) and Recycling and Waste Management Techniques (1 paper). The work is most often cited by research in Cognitive Neuroscience (592 citations), Sensory Systems (90 citations), Ophthalmology (57 citations), Human-Computer Interaction (35 citations) and Experimental and Cognitive Psychology (71 citations). Chih-Yang Chen has collaborated with scholars based in Germany, Taiwan and Japan. Frequent co-authors include Ziad M. Hafed, Xiaoguang Tian, Peter Thier, Alla Ignashchenkova, Klaus‐Peter Hoffmann, Joachim Bellet, Lukas Sonnenberg, C. Distler, Pau‐Choo Chung and Man‐Yee Chan. Their work appears in journals such as Journal of Neurophysiology, Current Biology, Frontiers in Systems Neuroscience, Nature Communications and Journal of Environmental Management.
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.