Jun Wang

739 papers and 28.2k indexed citations i.

About

Jun Wang is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Jun Wang has authored 739 papers receiving a total of 28.2k indexed citations (citations by other indexed papers that have themselves been cited), including 251 papers in Artificial Intelligence, 200 papers in Control and Systems Engineering and 192 papers in Computer Networks and Communications. Recurrent topics in Jun Wang’s work include Neural Networks and Applications (171 papers), Neural Networks Stability and Synchronization (126 papers) and Advanced Memory and Neural Computing (71 papers). Jun Wang is often cited by papers focused on Neural Networks and Applications (171 papers), Neural Networks Stability and Synchronization (126 papers) and Advanced Memory and Neural Computing (71 papers). Jun Wang collaborates with scholars based in China, Hong Kong and United States. Jun Wang's co-authors include Qingshan Liu, Zhouhua Peng, Zhigang Zeng, Youshen Xia, Jinde Cao, Dan Wang, Zheng Yan, Zhenyuan Guo, Shaofu Yang and Qing‐Long Han and has published in prestigious journals such as Angewandte Chemie International Edition, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

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

Fields of papers citing papers by Jun Wang

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

Countries citing papers authored by Jun Wang

Since Specialization
Citations

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

Rankless by CCL
2025