Peter Jin

About

Peter Jin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Peter Jin has authored 7 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Peter Jin’s work include Advanced Neural Network Applications (4 papers), Machine Learning and ELM (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). Peter Jin is often cited by papers focused on Advanced Neural Network Applications (4 papers), Machine Learning and ELM (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). Peter Jin collaborates with scholars based in United States and United Kingdom. Peter Jin's co-authors include Kurt Keutzer, Xiangyu Yue, Sicheng Zhao, Bichen Wu, Amir Gholami, Kiseok Kwon, Joseph E. Gonzalez, Alvin Wan, Amir Gholaminejad and Forrest Iandola and has published in prestigious journals such as arXiv (Cornell University), International Conference on Machine Learning and International Conference on Learning Representations.

In The Last Decade

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

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

Countries citing papers authored by Peter Jin

Since Specialization

Citations

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

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