Jun Peng
About
Jun Peng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications.
According to data from OpenAlex, Jun Peng has authored 80 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 15 papers in Computer Networks and Communications. Recurrent topics in Jun Peng’s work include Chaos-based Image/Signal Encryption (8 papers), Fuzzy Logic and Control Systems (7 papers) and Cognitive Computing and Networks (7 papers). Jun Peng is often cited by papers focused on Chaos-based Image/Signal Encryption (8 papers), Fuzzy Logic and Control Systems (7 papers) and Cognitive Computing and Networks (7 papers). Jun Peng collaborates with scholars based in China, United States and United Kingdom. Jun Peng's co-authors include Kincho H. Law, Shangzhu Jin, Yingxu Wang, Zuojin Li and Shuai Tan and has published in prestigious journals such as Scientific Reports, Journal of Cleaner Production and Industrial & Engineering Chemistry Research.
In The Last Decade
Fields of papers citing papers by Jun Peng
Since SpecializationEngineeringComputer 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 Peng. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jun Peng may publish in the future.
Countries citing papers authored by Jun Peng
Since SpecializationCitations
This map shows the geographic impact of Jun Peng'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 Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Peng more than expected).
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