Yan Yang
Impact in
- Dermatology top 1%
- Dermatology and Skin Diseases
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Topic Modeling 14
- Advanced Graph Neural Networks 7
- Natural Language Processing Techniques 6
- Machine Learning and ELM 5
-
- RNA modifications and cancer 7
- Co-authors
- Guang-Bin Huang (2 shared papers)Zhengyou Zhang (1 shared paper)Chamara Kasun Liyanaarachchi Lekamalage (1 shared paper)Sonja von Aulock (1 shared paper)Richard R. Schmidt (1 shared paper)Anna L. Cogen (1 shared paper)Teruaki Nakatsuji (1 shared paper)Anke Leichtle (1 shared paper)
- Journals
- Environmental Science & Technology (3 papers)IEEE Access (2 papers)Frontiers in Genetics (2 papers)The Electronic Journal of Combinatorics (2 papers)Frontiers in Molecular Biosciences (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yan Yang
108 papers receiving 2.2k citations
Yan Yang's Hit Papers
Peers
Comparison fields: 5 of 165
- Dermatology 293
- Cancer Research 401
- Pollution 199
- Rehabilitation 89
- Immunology and Allergy 72
Countries citing papers authored by Yan Yang
This map shows the geographic impact of Yan Yang'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 Yan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Yang more than expected).
Fields of papers citing papers by Yan Yang
This network shows the impact of papers produced by Yan Yang. 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 Yan Yang. The network helps show where Yan Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Yang, 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 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Commensal bacteria regulate Toll-like receptor 3–dependent inflammation after skin injury Hit paper breakdown → | 2009 | 594 |
| 2 | 2016 | 185 | |
| 3 | 2019 | 172 | |
| 4 | 2020 | 145 | |
| 5 | 2022 | 135 | |
| 6 | 2020 | 89 | |
| 7 | 2019 | 57 | |
| 8 | 2015 | 46 | |
| 9 | 2021 | 37 | |
| 10 | 2019 | 35 | |
| 11 | 2021 | 35 | |
| 12 | 2020 | 34 | |
| 13 | 2024 | 31 | |
| 14 | 2017 | 31 | |
| 15 | 2013 | 25 | |
| 16 | 2019 | 24 | |
| 17 | 2020 | 24 | |
| 18 | 2024 | 23 | |
| 19 | 2020 | 22 | |
| 20 | 2021 | 20 |
About Yan Yang
Yan Yang is a scholar working on Artificial Intelligence, Molecular Biology, Computational Theory and Mathematics, Information Systems and Computer Vision and Pattern Recognition, having authored 122 papers that have together received 2.2k indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Advanced Graph Theory Research (9 papers), Cancer-related molecular mechanisms research (7 papers), Advanced Graph Neural Networks (7 papers), RNA modifications and cancer (7 papers), Microplastics and Plastic Pollution (6 papers), Natural Language Processing Techniques (6 papers) and Machine Learning and ELM (5 papers). The work is most often cited by research in Dermatology (293 citations), Cancer Research (401 citations), Pollution (199 citations), Rehabilitation (89 citations) and Immunology and Allergy (72 citations). Yan Yang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Guang-Bin Huang, Zhengyou Zhang, Chamara Kasun Liyanaarachchi Lekamalage, Sonja von Aulock, Richard R. Schmidt, Anna L. Cogen, Teruaki Nakatsuji, Anke Leichtle, Lora V. Hooper and Richard L. Gallo. Their work appears in journals such as Environmental Science & Technology, IEEE Access, Frontiers in Genetics, The Electronic Journal of Combinatorics and Frontiers in Molecular Biosciences.
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.