Jun Long

13 papers and 526 indexed citations i.

About

Jun Long is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Jun Long has authored 13 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Jun Long’s work include Network Security and Intrusion Detection (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Jun Long is often cited by papers focused on Network Security and Intrusion Detection (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Jun Long collaborates with scholars based in China, Spain and United States. Jun Long's co-authors include Erxue Min, Jianjing Cui, Qiang Liu, Xifeng Guo, Gen Zhang, Yang Yu, Zhiping Cai, Wei Chen, Jianping Yin and Vicenç Torra and has published in prestigious journals such as Journal of Cleaner Production, IEEE Access and Applied Sciences.

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