Yan-Kun Chen
Impact in
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- Traditional Chinese Medicine Studies
Papers in
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- Traditional Chinese Medicine Analysis 3
- Co-authors
- Zhanhao Zhang (1 shared paper)Jingxuan Liu (1 shared paper)Yiqi Wu (1 shared paper)Yige Xu (1 shared paper)Lingyun Peng (1 shared paper)Cheng Wang (1 shared paper)Yue‐Rong Ma (1 shared paper)Ruiliang Wang (1 shared paper)
- Journals
- Journal of Biomolecular Structure and Dynamics (2 papers)Cancer Letters (1 paper)Cardiovascular Research (1 paper)Pharmacognosy Magazine (1 paper)Cytokine (1 paper)
- Partner nations
- ChinaSaudi ArabiaPoland
In The Last Decade
Yan-Kun Chen
24 papers receiving 300 citations
Yan-Kun Chen's Hit Papers
Peers
Comparison fields: 5 of 125
- Health Informatics 4
- Complementary and alternative medicine 18
- Artificial Intelligence 66
- Computer Vision and Pattern Recognition 31
- Biological Psychiatry 3
Countries citing papers authored by Yan-Kun Chen
This map shows the geographic impact of Yan-Kun 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 Yan-Kun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan-Kun Chen more than expected).
Fields of papers citing papers by Yan-Kun Chen
This network shows the impact of papers produced by Yan-Kun 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 Yan-Kun Chen. The network helps show where Yan-Kun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan-Kun 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 | Auto-Encoding Variational Bayes Hit paper breakdown → | 2024 | 180 |
| 2 | 2023 | 32 | |
| 3 | 2020 | 26 | |
| 4 | 2020 | 12 | |
| 5 | 2024 | 6 | |
| 6 | 2025 | 5 | |
| 7 | [The clinical application on composite graft of acellular allo-dermal matrix and auto-microskin on escharectomy after deep burns]. | 2004 | 5 |
| 8 | 2024 | 5 | |
| 9 | 2017 | 4 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2017 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2020 | 2 | |
| 19 | Multi-target neuroprotective effect of Buyang Huanwu Decoction against cerebral ischemia injury | 2016 | 1 |
| 20 | [Reparation of deep burn wounds with different kinds of skin flaps in patients with electrical injury]. | 2004 | 1 |
About Yan-Kun Chen
Yan-Kun Chen is a scholar working on Molecular Biology, Complementary and alternative medicine, Pharmacology, Surgery and Neurology, having authored 27 papers that have together received 306 indexed citations. Recurring topics across this work include Medicinal Plant Pharmacodynamics Research (3 papers), Traditional Chinese Medicine Analysis (3 papers), Neuroblastoma Research and Treatments (2 papers), Systemic Lupus Erythematosus Research (2 papers), Pharmacological Effects of Natural Compounds (2 papers), Salivary Gland Disorders and Functions (2 papers), Salivary Gland Tumors Diagnosis and Treatment (2 papers) and Glioma Diagnosis and Treatment (1 paper). The work is most often cited by research in Health Informatics (4 citations), Complementary and alternative medicine (18 citations), Artificial Intelligence (66 citations), Computer Vision and Pattern Recognition (31 citations) and Biological Psychiatry (3 citations). Yan-Kun Chen has collaborated with scholars based in China, Saudi Arabia and Poland. Frequent co-authors include Zhanhao Zhang, Jingxuan Liu, Yiqi Wu, Yige Xu, Lingyun Peng, Cheng Wang, Yue‐Rong Ma, Ruiliang Wang, Jin‐Hui Yang and Qingdong Zeng. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Cancer Letters, Cardiovascular Research, Pharmacognosy Magazine and Cytokine.
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.