Jun Huan

43 total papers · 637 total citations
17 papers, 216 citations indexed

About

Jun Huan is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Jun Huan has authored 17 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Jun Huan’s work include Machine Learning in Bioinformatics (6 papers), Protein Structure and Dynamics (6 papers) and Bioinformatics and Genomic Networks (4 papers). Jun Huan is often cited by papers focused on Machine Learning in Bioinformatics (6 papers), Protein Structure and Dynamics (6 papers) and Bioinformatics and Genomic Networks (4 papers). Jun Huan collaborates with scholars based in United States, China and Netherlands. Jun Huan's co-authors include Yi Jia, Jack Snoeyink, Wei Wang, Deepak Bandyopadhyay, Alexander Tropsha, Jan F. Prins, Jintao Zhang, Glen M. Borchert, Jingshan Huang and Dejing Dou and has published in prestigious journals such as BMC Bioinformatics, Journal of Theoretical Biology and Protein Science.

Co-authorship network of co-authors of Jun Huan

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Huan. A scholar is included among the top collaborators of Jun Huan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Huan. Jun Huan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Jun Huan

16 papers receiving 201 citations

Fields of papers citing papers by Jun Huan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Jun Huan

Since Specialization
Citations

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).

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.

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