Yang‐Yi Chen
Impact in
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- Prenatal Screening and Diagnostics
- Artificial Intelligence top 10%
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Adversarial Robustness in Machine Learning
Papers in
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- Adversarial Robustness in Machine Learning 2
- Co-authors
- Xiaofeng Wang (2 shared papers)Kehuan Zhang (1 shared paper)Xiaoyong Zhou (1 shared paper)Yaoping Ruan (1 shared paper)Paul A. Welling (1 shared paper)Richard A. Coleman (1 shared paper)P. Richard Grimm (1 shared paper)Jie Liu (1 shared paper)
- Journals
- Clinical Neurology and Neurosurgery (1 paper)Journal of Dermatological Science (1 paper)PLoS ONE (1 paper)Cancer Biology & Therapy (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Yang‐Yi Chen
25 papers receiving 614 citations
Peers
Comparison fields: 5 of 102
- Pediatrics, Perinatology and Child Health 94
- Artificial Intelligence 170
- Information Systems 95
- Cancer Research 54
- Signal Processing 38
Countries citing papers authored by Yang‐Yi Chen
This map shows the geographic impact of Yang‐Yi 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 Yang‐Yi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang‐Yi Chen more than expected).
Fields of papers citing papers by Yang‐Yi Chen
This network shows the impact of papers produced by Yang‐Yi 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 Yang‐Yi Chen. The network helps show where Yang‐Yi Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang‐Yi 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 110 | |
| 2 | 2011 | 104 | |
| 3 | 2014 | 98 | |
| 4 | 2021 | 63 | |
| 5 | 2007 | 62 | |
| 6 | 2013 | 48 | |
| 7 | 2014 | 20 | |
| 8 | 2019 | 17 | |
| 9 | 2004 | 15 | |
| 10 | 1990 | 14 | |
| 11 | 2022 | 13 | |
| 12 | 2020 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2019 | 9 | |
| 15 | 2023 | 9 | |
| 16 | 2019 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2019 | 7 | |
| 19 | 2023 | 4 | |
| 20 | 2023 | 3 |
About Yang‐Yi Chen
Yang‐Yi Chen is a scholar working on Molecular Biology, Artificial Intelligence, Dermatology, Neurology and Cell Biology, having authored 34 papers that have together received 637 indexed citations. Recurring topics across this work include Neurofibromatosis and Schwannoma Cases (2 papers), melanin and skin pigmentation (2 papers), Immunotherapy and Immune Responses (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Prenatal Screening and Diagnostics (2 papers), Adversarial Robustness in Machine Learning (2 papers), Skin Protection and Aging (2 papers) and Skin and Cellular Biology Research (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (94 citations), Artificial Intelligence (170 citations), Information Systems (95 citations), Cancer Research (54 citations) and Signal Processing (38 citations). Yang‐Yi Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Xiaofeng Wang, Kehuan Zhang, Xiaoyong Zhou, Yaoping Ruan, Paul A. Welling, Richard A. Coleman, P. Richard Grimm, Jie Liu, Eric Delpire and Tarvinder K. Taneja. Their work appears in journals such as Clinical Neurology and Neurosurgery, Journal of Dermatological Science, PLoS ONE, Cancer Biology & Therapy and Proceedings of the National Academy of Sciences.
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.