Hai‐Peng Ren

144 papers and 1.9k indexed citations i.

About

Hai‐Peng Ren is a scholar working on Statistical and Nonlinear Physics, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Hai‐Peng Ren has authored 144 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Statistical and Nonlinear Physics, 32 papers in Control and Systems Engineering and 31 papers in Computer Networks and Communications. Recurrent topics in Hai‐Peng Ren’s work include Chaos control and synchronization (45 papers), Nonlinear Dynamics and Pattern Formation (27 papers) and Advanced DC-DC Converters (17 papers). Hai‐Peng Ren is often cited by papers focused on Chaos control and synchronization (45 papers), Nonlinear Dynamics and Pattern Formation (27 papers) and Advanced DC-DC Converters (17 papers). Hai‐Peng Ren collaborates with scholars based in China, United Kingdom and Iran. Hai‐Peng Ren's co-authors include Celso Grebogi, Chao Bai, Murilo S. Baptista, Ding Liu, Okyay Kaynak, Jie Li, Xin Guo, Yanru Zhong, Kun Tian and Asghar Taheri and has published in prestigious journals such as Physical Review Letters, Journal of Clinical Oncology and Journal of Applied Physics.

In The Last Decade

Co-authorship network of co-authors of Hai‐Peng Ren i

Fields of papers citing papers by Hai‐Peng Ren

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

Countries citing papers authored by Hai‐Peng Ren

Since Specialization
Citations

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

Rankless by CCL
2025