Yi Ren

About

Yi Ren is a scholar working on Artificial Intelligence, Materials Chemistry and Automotive Engineering. According to data from OpenAlex, Yi Ren has authored 31 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Materials Chemistry and 7 papers in Automotive Engineering. Recurrent topics in Yi Ren’s work include Reinforcement Learning in Robotics (5 papers), Machine Learning in Materials Science (4 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). Yi Ren is often cited by papers focused on Reinforcement Learning in Robotics (5 papers), Machine Learning in Materials Science (4 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). Yi Ren collaborates with scholars based in United States, China and United Kingdom. Yi Ren's co-authors include Yang Jiao, Houpu Yao, Panos Y. Papalambros, Xiaodong Li and Wenxiang Xu and has published in prestigious journals such as Journal of Applied Physics, Acta Materialia and Medical Physics.

In The Last Decade

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

Countries citing papers authored by Yi Ren

Since Specialization

Citations

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

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