Guang Ren

59 papers and 281 indexed citations i.

About

Guang Ren is a scholar working on Control and Systems Engineering, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Guang Ren has authored 59 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Control and Systems Engineering, 17 papers in Artificial Intelligence and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Guang Ren’s work include Advanced Sensor and Control Systems (21 papers), Advanced Algorithms and Applications (19 papers) and Industrial Technology and Control Systems (16 papers). Guang Ren is often cited by papers focused on Advanced Sensor and Control Systems (21 papers), Advanced Algorithms and Applications (19 papers) and Industrial Technology and Control Systems (16 papers). Guang Ren collaborates with scholars based in China, Italy and France. Guang Ren's co-authors include Torbjørn Utnes, Haochen Hua, Junwei Cao, Gang Yang, Fernanda Zamboni, Elizabeth J. Ryan, J. B. O'Driscoll, Maurice N. Collins, Mario Culebras and Zhiqiang Cao and has published in prestigious journals such as IEEE Transactions on Power Electronics, International Journal of Biological Macromolecules and Fuzzy Sets and Systems.

In The Last Decade

Co-authorship network of co-authors of Guang Ren i

Fields of papers citing papers by Guang 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 Guang Ren. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Guang Ren may publish in the future.

Countries citing papers authored by Guang Ren

Since Specialization
Citations

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

Rankless by CCL
2025