Jun Long

144 papers and 1.8k indexed citations i.

About

Jun Long is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Jun Long has authored 144 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 41 papers in Computer Networks and Communications and 34 papers in Artificial Intelligence. Recurrent topics in Jun Long’s work include Advanced Image and Video Retrieval Techniques (28 papers), Energy Efficient Wireless Sensor Networks (20 papers) and Multimodal Machine Learning Applications (16 papers). Jun Long is often cited by papers focused on Advanced Image and Video Retrieval Techniques (28 papers), Energy Efficient Wireless Sensor Networks (20 papers) and Multimodal Machine Learning Applications (16 papers). Jun Long collaborates with scholars based in China, United States and Japan. Jun Long's co-authors include Zuping Zhang, Kaoru Ota, Mianxiong Dong, Anfeng Liu, Damien Hanyurwimfura, Hao Zhang, Zhan Yang, Kewen Chen, Yuxin Liu and Bin Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Nano Energy.

In The Last Decade

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

Fields of papers citing papers by Jun Long

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

Countries citing papers authored by Jun Long

Since Specialization
Citations

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

Rankless by CCL
2025