Jun Liu

214 papers and 6.6k indexed citations i.

About

Jun Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Jun Liu has authored 214 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Computer Vision and Pattern Recognition, 87 papers in Artificial Intelligence and 24 papers in Biomedical Engineering. Recurrent topics in Jun Liu’s work include Human Pose and Action Recognition (57 papers), Video Surveillance and Tracking Methods (45 papers) and Anomaly Detection Techniques and Applications (35 papers). Jun Liu is often cited by papers focused on Human Pose and Action Recognition (57 papers), Video Surveillance and Tracking Methods (45 papers) and Anomaly Detection Techniques and Applications (35 papers). Jun Liu collaborates with scholars based in China, Singapore and United States. Jun Liu's co-authors include Gang Wang, Amir Shahroudy, Tian-Tsong Ng, Ling‐Yu Duan, Alex C. Kot, Mauricio Pérez, Yan Bai, Yihang Lou, Kamila Abdiyeva and Dong Xu and has published in prestigious journals such as The Journal of Immunology, Neurology and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

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

Fields of papers citing papers by Jun Liu

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 Liu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jun Liu may publish in the future.

Countries citing papers authored by Jun Liu

Since Specialization
Citations

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

Rankless by CCL
2025