Jun Liang

51 papers and 858 indexed citations i.

About

Jun Liang is a scholar working on General Health Professions, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Jun Liang has authored 51 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in General Health Professions, 6 papers in Artificial Intelligence and 5 papers in Molecular Biology. Recurrent topics in Jun Liang’s work include Mobile Health Interventions and Applications (12 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Biomedical Text Mining and Ontologies (4 papers). Jun Liang is often cited by papers focused on Mobile Health Interventions and Applications (12 papers), Artificial Intelligence in Healthcare and Education (4 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, Xu Zheng, Zhenying Chen and Hongbin Han and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and BMC Public Health.

In The Last Decade

Fields of papers citing papers by Jun Liang

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Jun Liang. Nodes represent fields, and links connect fields that are likely to share authors. 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 by CCL
2025