Jun Feng

77 papers and 1.2k indexed citations i.

About

Jun Feng is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Jun Feng has authored 77 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 13 papers in Computer Networks and Communications and 13 papers in Information Systems. Recurrent topics in Jun Feng’s work include Cryptography and Data Security (16 papers), Privacy-Preserving Technologies in Data (15 papers) and Tensor decomposition and applications (8 papers). Jun Feng is often cited by papers focused on Cryptography and Data Security (16 papers), Privacy-Preserving Technologies in Data (15 papers) and Tensor decomposition and applications (8 papers). Jun Feng collaborates with scholars based in China, Canada and United States. Jun Feng's co-authors include Laurence T. Yang, Shusheng Li, Wei Zhu, Daixing Zhou, Qing Lü, Fangcheng Zhang, Hongyang Zhao, Junshuai Wang, Qing Zhu and Kim‐Kwang Raymond Choo and has published in prestigious journals such as Neuroscience, International Journal of Molecular Sciences and European Journal of Pharmacology.

In The Last Decade

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

Fields of papers citing papers by Jun Feng

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

Countries citing papers authored by Jun Feng

Since Specialization
Citations

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

Rankless by CCL
2025