Yanjun Li
Impact in
- Health Informatics top 5%
- Genetics top 5%
- Yersinia bacterium, plague, ectoparasites research
- Virus-based gene therapy research
- Genomics and Rare Diseases
Papers in
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- RNA modifications and cancer 5
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- Logic, Reasoning, and Knowledge 7
- Cryptographic Implementations and Security 6
- Co-authors
- Soon M. Chung (11 shared papers)Congnan Luo (4 shared papers)Cornelius J. Clancy (3 shared papers)Ursula Theuretzbacher (1 shared paper)M. Hong Nguyen (1 shared paper)John D. Holt (2 shared papers)Xiaolin Li (7 shared papers)Gérard Cornuéjols (4 shared papers)
- Journals
- Scientific Reports (5 papers)Mathematical Programming (5 papers)Advances in experimental medicine and biology (4 papers)PLoS ONE (4 papers)Artificial Intelligence (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yanjun Li
139 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 194
- Health Informatics 36
- Genetics 617
- Molecular Biology 1.3k
- Infectious Diseases 344
- Artificial Intelligence 504
Countries citing papers authored by Yanjun Li
This map shows the geographic impact of Yanjun 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 Yanjun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanjun Li more than expected).
Fields of papers citing papers by Yanjun Li
This network shows the impact of papers produced by Yanjun 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 Yanjun Li. The network helps show where Yanjun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanjun 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
Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 333 | |
| 2 | 2018 | 263 | |
| 3 | 2007 | 169 | |
| 4 | 2019 | 142 | |
| 5 | 2008 | 134 | |
| 6 | 2008 | 123 | |
| 7 | 2009 | 100 | |
| 8 | 2009 | 84 | |
| 9 | 2008 | 64 | |
| 10 | 2021 | 60 | |
| 11 | 2014 | 59 | |
| 12 | 2019 | 57 | |
| 13 | 2004 | 52 | |
| 14 | 2020 | 47 | |
| 15 | 2007 | 47 | |
| 16 | 2014 | 46 | |
| 17 | 2022 | 42 | |
| 18 | 2021 | 42 | |
| 19 | 2019 | 42 | |
| 20 | 2004 | 42 |
About Yanjun Li
Yanjun Li is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Computational Theory and Mathematics and Information Systems, having authored 151 papers that have together received 3.2k indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (7 papers), Yersinia bacterium, plague, ectoparasites research (6 papers), Cryptographic Implementations and Security (6 papers), Data Mining Algorithms and Applications (6 papers), Complexity and Algorithms in Graphs (6 papers), Computational Drug Discovery Methods (6 papers), RNA modifications and cancer (5 papers) and Chaos-based Image/Signal Encryption (5 papers). The work is most often cited by research in Health Informatics (36 citations), Genetics (617 citations), Molecular Biology (1.3k citations), Infectious Diseases (344 citations) and Artificial Intelligence (504 citations). Yanjun Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Soon M. Chung, Congnan Luo, Cornelius J. Clancy, Ursula Theuretzbacher, M. Hong Nguyen, John D. Holt, Xiaolin Li, Gérard Cornuéjols, Jie Sun and Yajun Song. Their work appears in journals such as Scientific Reports, Mathematical Programming, Advances in experimental medicine and biology, PLoS ONE and Artificial Intelligence.
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.