Peter Jin

20 total papers · 699 total citations
5 papers, 294 citations indexed

About

Peter Jin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Peter Jin has authored 5 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Management Science and Operations Research. Recurrent topics in Peter Jin's work include Advanced Neural Network Applications (3 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 (3 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, Alvin Wan, Sicheng Zhao, Xiangyu Yue, Joseph E. Gonzalez, Amir Gholaminejad, BoRui Wu, Amir Gholami, Forrest Iandola and Ariful Azad and has published in prestigious journals such as arXiv (Cornell University), eScholarship (California Digital Library) and International Conference on Learning Representations.

In The Last Decade

Peter Jin

5 papers receiving 284 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Peter Jin 221 130 43 26 26 5 294
Amir Gholaminejad 225 1.0× 126 1.0× 41 1.0× 8 0.3× 29 1.1× 6 359
Qinghao Hu 241 1.1× 142 1.1× 51 1.2× 15 0.6× 17 0.7× 13 311
Gongfan Fang 160 0.7× 154 1.2× 19 0.4× 25 1.0× 14 0.5× 11 309
Hussam Qassim 139 0.6× 99 0.8× 18 0.4× 17 0.7× 40 1.5× 4 345
Mingzhu Shen 205 0.9× 136 1.0× 50 1.2× 13 0.5× 24 0.9× 7 313
Gh. S. El-Tawel 91 0.4× 194 1.5× 32 0.7× 22 0.8× 59 2.3× 9 353
Shan Sung Liew 120 0.5× 87 0.7× 32 0.7× 13 0.5× 7 0.3× 6 273
Linjian Ma 163 0.7× 199 1.5× 33 0.8× 17 0.7× 18 0.7× 13 363
Yongxi Lu 250 1.1× 139 1.1× 14 0.3× 12 0.5× 29 1.1× 5 348
Ziran Wei 184 0.8× 113 0.9× 43 1.0× 9 0.3× 26 1.0× 7 254

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).

Fields of papers citing papers by Peter Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Jin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter Jin. The network helps show where Peter Jin may publish in the future.

Co-authorship network of co-authors of Peter Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Jin. A scholar is included among the top collaborators of Peter Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Jin. Peter Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026