Jun Cheng

232 papers and 4.3k indexed citations i.

About

Jun Cheng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Jun Cheng has authored 232 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Computer Vision and Pattern Recognition, 34 papers in Artificial Intelligence and 29 papers in Biomedical Engineering. Recurrent topics in Jun Cheng’s work include Human Pose and Action Recognition (37 papers), Advanced Image and Video Retrieval Techniques (29 papers) and Video Surveillance and Tracking Methods (28 papers). Jun Cheng is often cited by papers focused on Human Pose and Action Recognition (37 papers), Advanced Image and Video Retrieval Techniques (29 papers) and Video Surveillance and Tracking Methods (28 papers). Jun Cheng collaborates with scholars based in China, Hong Kong and Australia. Jun Cheng's co-authors include Dapeng Tao, Xiping Hu, Bin Hu, Weifeng Liu, Dacheng Tao, Zhaolong Ning, Lei Wang, MengChu Zhou, Edith C.‐H. Ngai and Li Zhou and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Science of The Total Environment.

In The Last Decade

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

Fields of papers citing papers by Jun Cheng

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

Countries citing papers authored by Jun Cheng

Since Specialization
Citations

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

Rankless by CCL
2025