Youfeng Li
Impact in
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
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- Cancer, Hypoxia, and Metabolism
Papers in
-
- Metabolism, Diabetes, and Cancer 3
- Angiogenesis and VEGF in Cancer 1
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- Neural Networks and Applications 2
- Machine Learning and ELM 1
- Co-authors
- Xubin Jing (3 shared papers)Bozhi Cai (2 shared papers)Yuzhang Zhu (2 shared papers)Tianliang Huang (2 shared papers)Jidong Cheng (2 shared papers)Yongneng Zhang (2 shared papers)Tetsuya Yamamoto (2 shared papers)Xiaojun Tan (2 shared papers)
- Journals
- Expert Systems with Applications (1 paper)BMC Gastroenterology (1 paper)PLoS ONE (1 paper)Frontiers in Neurology (1 paper)Translational Stroke Research (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Youfeng Li
13 papers receiving 432 citations
Youfeng Li's Hit Papers
Peers
Comparison fields: 5 of 100
- Nephrology 80
- Cancer Research 48
- Oncology 85
- Internal Medicine 8
- Molecular Biology 151
Countries citing papers authored by Youfeng Li
This map shows the geographic impact of Youfeng Li'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 Youfeng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youfeng Li more than expected).
Fields of papers citing papers by Youfeng Li
This network shows the impact of papers produced by Youfeng Li. 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 Youfeng Li. The network helps show where Youfeng Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Youfeng Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 101 | |
| 2 | 2021 | 82 | |
| 3 | 2013 | 67 | |
| 4 | 2014 | 63 | |
| 5 | 2009 | 41 | |
| 6 | 2017 | 30 | |
| 7 | NDLSC: A New Deep Learning-based Approach to Smart Contract Vulnerability Detection Hit paper breakdown → | 2025 | 21 |
| 8 | 2020 | 19 | |
| 9 | 2017 | 8 | |
| 10 | 2021 | 5 | |
| 11 | 2003 | 3 | |
| 12 | 2009 | 2 | |
| 13 | 2023 | 1 |
About Youfeng Li
Youfeng Li is a scholar working on Molecular Biology, Artificial Intelligence, Surgery, Control and Systems Engineering and Information Systems, having authored 13 papers that have together received 443 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (3 papers), Neural Networks and Applications (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Machine Learning and ELM (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Insurance and Financial Risk Management (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper) and Blind Source Separation Techniques (1 paper). The work is most often cited by research in Nephrology (80 citations), Cancer Research (48 citations), Oncology (85 citations), Internal Medicine (8 citations) and Molecular Biology (151 citations). Youfeng Li has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Xubin Jing, Bozhi Cai, Yuzhang Zhu, Tianliang Huang, Jidong Cheng, Yongneng Zhang, Tetsuya Yamamoto, Xiaojun Tan, Jiexiong Huang and Ning Sun. Their work appears in journals such as Expert Systems with Applications, BMC Gastroenterology, PLoS ONE, Frontiers in Neurology and Translational Stroke Research.
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.