Junyi Li
Impact in
- Aquatic Science top 5%
- Aquaculture Nutrition and Growth
- Immunology top 10%
- Aquaculture disease management and microbiota
Papers in
-
- Bioinformatics and Genomic Networks 19
- Gene expression and cancer classification 11
- Genomics and Phylogenetic Studies 11
- Machine Learning in Bioinformatics 9
-
- Topic Modeling 9
- Natural Language Processing Techniques 7
- Co-authors
- Allan R. Brasier (1 shared paper)Yadong Wang (27 shared papers)R. Russell Rhinehart (1 shared paper)Ji-Rong Wen (4 shared papers)Jixing Zou (5 shared papers)Lanfen Fan (5 shared papers)Wayne Xin Zhao (3 shared papers)Tianyi Tang (3 shared papers)
- Journals
- IEEE/ACM Transactions on Computational Biology and Bioinformatics (5 papers)Bioinformatics (4 papers)Fish & Shellfish Immunology (3 papers)Computational and Structural Biotechnology Journal (3 papers)BMC Bioinformatics (3 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Junyi Li
114 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 155
- Aquatic Science 125
- Immunology 224
- Artificial Intelligence 293
- Computational Theory and Mathematics 124
- Molecular Biology 477
Countries citing papers authored by Junyi Li
This map shows the geographic impact of Junyi 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 Junyi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyi Li more than expected).
Fields of papers citing papers by Junyi Li
This network shows the impact of papers produced by Junyi 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 Junyi Li. The network helps show where Junyi Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyi 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 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 175 | |
| 2 | 2021 | 79 | |
| 3 | 2019 | 67 | |
| 4 | 2014 | 64 | |
| 5 | 1998 | 56 | |
| 6 | 2020 | 54 | |
| 7 | 2015 | 40 | |
| 8 | 2019 | 37 | |
| 9 | 2021 | 35 | |
| 10 | 2022 | 35 | |
| 11 | 2022 | 33 | |
| 12 | 2023 | 32 | |
| 13 | 2022 | 31 | |
| 14 | 2022 | 31 | |
| 15 | 2019 | 30 | |
| 16 | 2019 | 29 | |
| 17 | 2018 | 28 | |
| 18 | 2023 | 25 | |
| 19 | 2020 | 23 | |
| 20 | 2024 | 21 |
About Junyi Li
Junyi Li is a scholar working on Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Immunology and Computer Vision and Pattern Recognition, having authored 121 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (19 papers), Gene expression and cancer classification (11 papers), Genomics and Phylogenetic Studies (11 papers), Computational Drug Discovery Methods (10 papers), Topic Modeling (9 papers), Machine Learning in Bioinformatics (9 papers), Natural Language Processing Techniques (7 papers) and Cancer-related molecular mechanisms research (6 papers). The work is most often cited by research in Aquatic Science (125 citations), Immunology (224 citations), Artificial Intelligence (293 citations), Computational Theory and Mathematics (124 citations) and Molecular Biology (477 citations). Junyi Li has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Allan R. Brasier, Yadong Wang, R. Russell Rhinehart, Ji-Rong Wen, Jixing Zou, Lanfen Fan, Wayne Xin Zhao, Tianyi Tang, Zhenlu Wang and Ani Nenkova. Their work appears in journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics, Bioinformatics, Fish & Shellfish Immunology, Computational and Structural Biotechnology Journal and BMC Bioinformatics.
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.