Yu‐Hsin Chen
Impact in
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- Emotion and Mood Recognition
- Biotechnology top 2%
- Marine Sponges and Natural Products
Papers in
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- Marine Sponges and Natural Products 10
- Microbial Metabolism and Applications 7
- Co-authors
- Wen‐Jing Yan (6 shared papers)Xiaolan Fu (7 shared papers)Yong‐Jin Liu (1 shared paper)Sujing Wang (1 shared paper)Guoying Zhao (1 shared paper)Xiaobai Li (1 shared paper)Ching‐Jui Keng (3 shared papers)Der‐Cherng Tarng (3 shared papers)
- Journals
- PLoS ONE (8 papers)Molecules (5 papers)Tetrahedron Letters (3 papers)Marine Drugs (3 papers)Frontiers in Psychiatry (3 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Yu‐Hsin Chen
99 papers receiving 2.4k citations
Yu‐Hsin Chen's Hit Papers
Peers
Comparison fields: 5 of 168
- Experimental and Cognitive Psychology 498
- Biotechnology 240
- Human-Computer Interaction 125
- Computer Vision and Pattern Recognition 427
- Pharmacology 132
Countries citing papers authored by Yu‐Hsin Chen
This map shows the geographic impact of Yu‐Hsin 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 Yu‐Hsin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Hsin Chen more than expected).
Fields of papers citing papers by Yu‐Hsin Chen
This network shows the impact of papers produced by Yu‐Hsin 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 Yu‐Hsin Chen. The network helps show where Yu‐Hsin Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu‐Hsin 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation Hit paper breakdown → | 2014 | 625 |
| 2 | 2013 | 193 | |
| 3 | 2018 | 102 | |
| 4 | 2015 | 101 | |
| 5 | 2012 | 76 | |
| 6 | 2020 | 70 | |
| 7 | 2009 | 59 | |
| 8 | 2012 | 53 | |
| 9 | 2013 | 45 | |
| 10 | 2021 | 45 | |
| 11 | 2015 | 39 | |
| 12 | 2020 | 38 | |
| 13 | 2021 | 38 | |
| 14 | 2013 | 35 | |
| 15 | 2016 | 34 | |
| 16 | 2023 | 34 | |
| 17 | 2017 | 34 | |
| 18 | 2017 | 31 | |
| 19 | 2018 | 31 | |
| 20 | 2014 | 29 |
About Yu‐Hsin Chen
Yu‐Hsin Chen is a scholar working on Molecular Biology, Biotechnology, Pharmacology, Cognitive Neuroscience and Pharmacology, having authored 99 papers that have together received 2.4k indexed citations. Recurring topics across this work include Marine Sponges and Natural Products (10 papers), Microbial Metabolism and Applications (7 papers), Microbial Natural Products and Biosynthesis (7 papers), Digital Marketing and Social Media (4 papers), Pharmacological Effects of Natural Compounds (4 papers), Coral and Marine Ecosystems Studies (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers) and Phytochemistry and Bioactivity Studies (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (498 citations), Biotechnology (240 citations), Human-Computer Interaction (125 citations), Computer Vision and Pattern Recognition (427 citations) and Pharmacology (132 citations). Yu‐Hsin Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Wen‐Jing Yan, Xiaolan Fu, Yong‐Jin Liu, Sujing Wang, Guoying Zhao, Xiaobai Li, Ching‐Jui Keng, Der‐Cherng Tarng, Nae J. Dun and Jin Jun Luo. Their work appears in journals such as PLoS ONE, Molecules, Tetrahedron Letters, Marine Drugs and Frontiers in Psychiatry.
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.