Jun Huan
Impact in
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- Computational Drug Discovery Methods
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Anomaly Detection Techniques and Applications
- Text and Document Classification Technologies
Papers in
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- Machine Learning and Data Classification 6
- Domain Adaptation and Few-Shot Learning 5
- Text and Document Classification Technologies 5
- Anomaly Detection Techniques and Applications 4
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- Computational Drug Discovery Methods 19
- Co-authors
- Alexios Koutsoukas (3 shared papers)Xiaoli Li (3 shared papers)Hongliang Fei (12 shared papers)Gerald H. Lushington (10 shared papers)Aaron Smalter (7 shared papers)Chao Lan (7 shared papers)Jintao Zhang (4 shared papers)Bo Luo (3 shared papers)
- Journals
- IEEE/ACM Transactions on Computational Biology and Bioinformatics (2 papers)IEEE Transactions on Knowledge and Data Engineering (2 papers)BMC Bioinformatics (2 papers)Journal of Bioinformatics and Computational Biology (1 paper)Frontiers in Environmental Science (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Jun Huan
48 papers receiving 676 citations
Peers
Comparison fields: 5 of 113
- Computational Theory and Mathematics 158
- Artificial Intelligence 277
- Computer Vision and Pattern Recognition 126
- Computational Mathematics 3
- Signal Processing 53
Countries citing papers authored by Jun Huan
This map shows the geographic impact of Jun Huan'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 Jun Huan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Huan more than expected).
Fields of papers citing papers by Jun Huan
This network shows the impact of papers produced by Jun Huan. 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 Jun Huan. The network helps show where Jun Huan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Huan, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 232 | |
| 2 | 2011 | 31 | |
| 3 | 2012 | 27 | |
| 4 | 2012 | 27 | |
| 5 | 2009 | 24 | |
| 6 | 2010 | 23 | |
| 7 | 2014 | 23 | |
| 8 | 2016 | 23 | |
| 9 | 2022 | 23 | |
| 10 | 2009 | 22 | |
| 11 | 2013 | 20 | |
| 12 | 2008 | 20 | |
| 13 | 2011 | 19 | |
| 14 | 2011 | 17 | |
| 15 | 2011 | 17 | |
| 16 | 2017 | 16 | |
| 17 | 2017 | 12 | |
| 18 | 2012 | 9 | |
| 19 | 2011 | 8 | |
| 20 | 2010 | 7 |
About Jun Huan
Jun Huan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 53 papers that have together received 697 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (19 papers), Bioinformatics and Genomic Networks (7 papers), Face and Expression Recognition (6 papers), Machine Learning and Data Classification (6 papers), Domain Adaptation and Few-Shot Learning (5 papers), Text and Document Classification Technologies (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Sparse and Compressive Sensing Techniques (4 papers). The work is most often cited by research in Computational Theory and Mathematics (158 citations), Artificial Intelligence (277 citations), Computer Vision and Pattern Recognition (126 citations), Computational Mathematics (3 citations) and Signal Processing (53 citations). Jun Huan has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Alexios Koutsoukas, Xiaoli Li, Hongliang Fei, Gerald H. Lushington, Aaron Smalter, Chao Lan, Jintao Zhang, Bo Luo, Min Song and Yong Bai. Their work appears in journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE Transactions on Knowledge and Data Engineering, BMC Bioinformatics, Journal of Bioinformatics and Computational Biology and Frontiers in Environmental Science.
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.