Jun Liao

65 total papers · 1.6k total citations
37 papers, 999 citations indexed

About

Jun Liao is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Jun Liao has authored 37 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Molecular Biology and 6 papers in Computational Theory and Mathematics. Recurrent topics in Jun Liao’s work include Computational Drug Discovery Methods (6 papers), AI in cancer detection (4 papers) and Pharmacovigilance and Adverse Drug Reactions (4 papers). Jun Liao is often cited by papers focused on Computational Drug Discovery Methods (6 papers), AI in cancer detection (4 papers) and Pharmacovigilance and Adverse Drug Reactions (4 papers). Jun Liao collaborates with scholars based in China, United States and Japan. Jun Liao's co-authors include Manfred K. Warmuth, Christian Lemmen, Gunnar Rätsch, Santosh Putta, Changjiang Zhou, Yan Xing, Sheng Yu, Di‐Hua Zhai, Yuanqing Xia and Haoran Wu and has published in prestigious journals such as Analytical Chemistry, The Science of The Total Environment and Cochrane Database of Systematic Reviews.

Co-authorship network of co-authors of Jun Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Liao. A scholar is included among the top collaborators of Jun Liao 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 Liao. Jun Liao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Jun Liao

34 papers receiving 938 citations

Fields of papers citing papers by Jun Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Liao

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2026