Junyi Li
- Aquatic Science top 5%
- Artificial Intelligence top 5%
- Topic Modeling 9
- Natural Language Processing Techniques 7
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- Bioinformatics and Genomic Networks 15
- Gene expression and cancer classification 12
- Machine Learning in Bioinformatics 11
- Genomics and Phylogenetic Studies 11
- RNA modifications and cancer 6
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- Cancer-related molecular mechanisms research 7
- Co-authors
- Allan R. BrasierYadong WangR. Russell RhinehartLanfen FanJixing ZouWayne Xin ZhaoJi-Rong WenZhenlu Wang
- Journals
- IEEE/ACM Transactions on Computational Biology and Bioinformatics (5 papers)Bioinformatics (4 papers)Fish & Shellfish Immunology (3 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Junyi Li
102 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 155
- Aquatic Science 119
- Immunology 215
- Artificial Intelligence 271
- Computational Theory and Mathematics 115
- Molecular Biology 465
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 15 | |
| 9 | 2023 | 18 | |
| 10 | 2023 | 12 | |
| 11 | 2023 | 2 | |
| 12 | 2021 | 18 | |
| 13 | 2020 | 22 | |
| 14 | 2020 | 3 | |
| 15 | 2020 | 9 | |
| 16 | 2019 | 16 | |
| 17 | 2017 | 2 | |
| 18 | 2016 | 20 | |
| 19 | 2011 | 1 | |
| 20 | Research and implement of SOA-oriented enterprise services bus | 2008 | 0 |
About Junyi Li
Junyi Li is a scholar working on Molecular Biology, Artificial Intelligence, Cancer Research, Signal Processing and Media Technology, having authored 112 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (15 papers), Gene expression and cancer classification (12 papers), Machine Learning in Bioinformatics (11 papers), Genomics and Phylogenetic Studies (11 papers), Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers), Cancer-related molecular mechanisms research (7 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Aquatic Science (119 citations), Immunology (215 citations), Artificial Intelligence (271 citations), Computational Theory and Mathematics (115 citations) and Molecular Biology (465 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, Lanfen Fan, Jixing Zou, Wayne Xin Zhao, Ji-Rong Wen, Zhenlu Wang, Tianyi Tang 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.