Jun Huan
Impact in
- Signal Processing top 10%
- Data Management and Algorithms
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- Graph Theory and Algorithms
Papers in
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- Protein Structure and Dynamics 7
- Bioinformatics and Genomic Networks 7
- Machine Learning in Bioinformatics 7
- Genomics and Phylogenetic Studies 5
- Gene expression and cancer classification 4
- Biomedical Text Mining and Ontologies 4
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- Algorithms and Data Compression 3
- Co-authors
- Wei Wang (6 shared papers)Yi Jia (4 shared papers)Alexander Tropsha (5 shared papers)Deepak Bandyopadhyay (4 shared papers)Jack Snoeyink (4 shared papers)Jan F. Prins (4 shared papers)Jintao Zhang (1 shared paper)Hongliang Fei (2 shared papers)
- Journals
- BMC Bioinformatics (3 papers)Journal of Computer-Aided Molecular Design (2 papers)Journal of Computational Biology (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)Journal of Biomedical Semantics (1 paper)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Jun Huan
28 papers receiving 391 citations
Peers
Comparison fields: 5 of 78
- Signal Processing 91
- Computer Vision and Pattern Recognition 143
- Computational Mathematics 4
- Artificial Intelligence 143
- Information Systems 64
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 108 | |
| 2 | 2005 | 49 | |
| 3 | 2011 | 38 | |
| 4 | 2006 | 32 | |
| 5 | 2009 | 25 | |
| 6 | 2017 | 24 | |
| 7 | 2008 | 21 | |
| 8 | 2010 | 12 | |
| 9 | 2014 | 12 | |
| 10 | 2009 | 11 | |
| 11 | 2009 | 11 | |
| 12 | 2009 | 8 | |
| 13 | 2016 | 7 | |
| 14 | 2008 | 7 | |
| 15 | 2009 | 6 | |
| 16 | 2016 | 6 | |
| 17 | 2014 | 6 | |
| 18 | 2013 | 6 | |
| 19 | 2014 | 6 | |
| 20 | 2016 | 4 |
About Jun Huan
Jun Huan is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Pharmacology, having authored 29 papers that have together received 413 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Bioinformatics and Genomic Networks (7 papers), Machine Learning in Bioinformatics (7 papers), Genomics and Phylogenetic Studies (5 papers), Gene expression and cancer classification (4 papers), Biomedical Text Mining and Ontologies (4 papers), Algorithms and Data Compression (3 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Signal Processing (91 citations), Computer Vision and Pattern Recognition (143 citations), Computational Mathematics (4 citations), Artificial Intelligence (143 citations) and Information Systems (64 citations). Jun Huan has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Wei Wang, Yi Jia, Alexander Tropsha, Deepak Bandyopadhyay, Jack Snoeyink, Jan F. Prins, Jintao Zhang, Hongliang Fei, Jingshan Huang and Brian Quanz. Their work appears in journals such as BMC Bioinformatics, Journal of Computer-Aided Molecular Design, Journal of Computational Biology, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Journal of Biomedical Semantics.
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.