Jun Liang

178 total papers · 1.8k total citations
55 papers, 991 citations indexed

About

Jun Liang is a scholar working on General Health Professions, Artificial Intelligence and Applied Psychology. According to data from OpenAlex, Jun Liang has authored 55 papers receiving a total of 991 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in General Health Professions, 8 papers in Artificial Intelligence and 6 papers in Applied Psychology. Recurrent topics in Jun Liang’s work include Mobile Health and mHealth Applications (12 papers), Artificial Intelligence in Healthcare and Education (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Jun Liang is often cited by papers focused on Mobile Health and mHealth Applications (12 papers), Artificial Intelligence in Healthcare and Education (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Jun Liang collaborates with scholars based in China, United States and United Kingdom. Jun Liang's co-authors include Jianbo Lei, Xingting Zhang, Dong Wen, Tong Wang, Xu Zheng, Jinghua Xiao, Lixiang Li, Tao Li, Yonggang Chen and Yixian Yang and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and BMC Public Health.

Co-authorship network of co-authors of Jun Liang

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

Jun Liang

50 papers receiving 977 citations

Fields of papers citing papers by Jun Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Liang

Since Specialization
Citations

This map shows the geographic impact of Jun Liang'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 Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Liang 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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2026