Peng Jin

45 papers and 318 indexed citations i.

About

Peng Jin is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Peng Jin has authored 45 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 11 papers in Electrical and Electronic Engineering and 9 papers in Automotive Engineering. Recurrent topics in Peng Jin’s work include Topic Modeling (15 papers), Natural Language Processing Techniques (15 papers) and Advanced Battery Technologies Research (9 papers). Peng Jin is often cited by papers focused on Topic Modeling (15 papers), Natural Language Processing Techniques (15 papers) and Advanced Battery Technologies Research (9 papers). Peng Jin collaborates with scholars based in China, United Kingdom and United States. Peng Jin's co-authors include Xingyuan Chen, Yunqing Xia, Lin Peng, Zhenpo Wang, Mingwei Sun, Jun Zeng, Yu Wang, John Carroll, Hua Jiang and Yunfang Wu and has published in prestigious journals such as Journal of The Electrochemical Society, Industrial & Engineering Chemistry Research and Molecules.

In The Last Decade

Co-authorship network of co-authors of Peng Jin i

Fields of papers citing papers by Peng Jin

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

Countries citing papers authored by Peng Jin

Since Specialization
Citations

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

Rankless by CCL
2025