Jun Pang

142 papers and 997 indexed citations i.

About

Jun Pang is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Jun Pang has authored 142 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 25 papers in Molecular Biology and 23 papers in Computational Theory and Mathematics. Recurrent topics in Jun Pang’s work include Formal Methods in Verification (20 papers), Gene Regulatory Network Analysis (18 papers) and Internet Traffic Analysis and Secure E-voting (14 papers). Jun Pang is often cited by papers focused on Formal Methods in Verification (20 papers), Gene Regulatory Network Analysis (18 papers) and Internet Traffic Analysis and Secure E-voting (14 papers). Jun Pang collaborates with scholars based in Luxembourg, China and The Netherlands. Jun Pang's co-authors include Andrzej Mizera, Xihui Chen, Yang Zhang, Mathias Humbert, Michael Backes, Wan Fokkink, Yang Zhang, Yuxin Deng, Catuscia Palamidessi and Thomas Sauter and has published in prestigious journals such as Bioinformatics, PLoS ONE and Brain Research.

In The Last Decade

Co-authorship network of co-authors of Jun Pang i

Fields of papers citing papers by Jun Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Pang. 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 Pang. The network helps show where Jun Pang may publish in the future.

Countries citing papers authored by Jun Pang

Since Specialization
Citations

This map shows the geographic impact of Jun Pang'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 Pang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Pang 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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