Gang Ren

About

Gang Ren is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Gang Ren has authored 56 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 12 papers in Computer Networks and Communications and 11 papers in Signal Processing. Recurrent topics in Gang Ren’s work include Digital Marketing and Social Media (9 papers), Network Security and Intrusion Detection (8 papers) and Sentiment Analysis and Opinion Mining (6 papers). Gang Ren is often cited by papers focused on Digital Marketing and Social Media (9 papers), Network Security and Intrusion Detection (8 papers) and Sentiment Analysis and Opinion Mining (6 papers). Gang Ren collaborates with scholars based in China, United States and South Korea. Gang Ren's co-authors include Taeho Hong, David Padua, Keshav Pingali, Mitsunori Ogihara and Kyung-Young Jhang and has published in prestigious journals such as Proceedings of the IEEE, Carbohydrate Polymers and Clinical Orthopaedics and Related Research.

In The Last Decade

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

Countries citing papers authored by Gang Ren

Since Specialization

Citations

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

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