Peter Jin

705 total citations
6 papers, 296 citations indexed

About

Peter Jin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiation. According to data from OpenAlex, Peter Jin has authored 6 papers receiving a total of 296 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 Radiation. Recurrent topics in Peter Jin's work include Advanced Neural Network Applications (3 papers), Stochastic Gradient Optimization Techniques (2 papers) and Machine Learning and ELM (2 papers). Peter Jin is often cited by papers focused on Advanced Neural Network Applications (3 papers), Stochastic Gradient Optimization Techniques (2 papers) and Machine Learning and ELM (2 papers). Peter Jin collaborates with scholars based in United States, United Kingdom and South Africa. Peter Jin's co-authors include Kurt Keutzer, BoRui Wu, Alvin Wan, Xiangyu Yue, Joseph E. Gonzalez, Sicheng Zhao, Amir Gholaminejad, Aydın Buluç, Forrest Iandola and Amir Gholami and has published in prestigious journals such as arXiv (Cornell University), eScholarship (California Digital Library) and Maryland Shared Open Access Repository (USMAI Consortium).

In The Last Decade

Peter Jin

6 papers receiving 286 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Peter Jin United States	4	221	130	43	26	26	6	296
Qinghao Hu China	8	243 1.1×	142 1.1×	53 1.2×	15 0.6×	17 0.7×	15	314
Shijie Li China	10	140 0.6×	101 0.8×	87 2.0×	19 0.7×	13 0.5×	24	250
Jinwei Xu China	9	180 0.8×	95 0.7×	130 3.0×	23 0.9×	15 0.6×	30	298
Nanyang Ye China	11	147 0.7×	149 1.1×	27 0.6×	11 0.4×	21 0.8×	35	292
Tongtong Yuan China	10	201 0.9×	109 0.8×	36 0.8×	50 1.9×	9 0.3×	26	339
Elad Hoffer Israel	5	183 0.8×	152 1.2×	43 1.0×	9 0.3×	14 0.5×	10	256
Ziran Wei China	5	186 0.8×	113 0.9×	45 1.0×	9 0.3×	26 1.0×	7	257
Ruizhou Ding United States	8	159 0.7×	142 1.1×	49 1.1×	19 0.7×	10 0.4×	12	231
Ting-Wu Chin United States	8	144 0.7×	121 0.9×	45 1.0×	41 1.6×	12 0.5×	13	226
Yury Nahshan Israel	3	185 0.8×	127 1.0×	60 1.4×	17 0.7×	6 0.2×	3	235

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

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6 of 6 papers shown

1.

Hodge, Jacqueline C., Peter Jin, Eugene Wong, et al.. (2024). Improving Gamma Imaging in Proton Therapy by Sanitizing Compton Camera Simulated Patient Data using Neural Networks through the BRIDE Pipeline. Maryland Shared Open Access Repository (USMAI Consortium). 7463–7470. 1 indexed citations

2.

Jin, Peter, Boris Ginsburg, & Kurt Keutzer. (2018). Spatially Parallel Convolutions.. International Conference on Learning Representations. 3 indexed citations

3.

Jin, Peter, Kurt Keutzer, & Sergey Levine. (2018). Regret Minimization for Partially Observable Deep Reinforcement Learning. International Conference on Learning Representations. 2342–2351. 1 indexed citations

4.

Wu, BoRui, Alvin Wan, Xiangyu Yue, et al.. (2018). Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions. 9127–9135. 219 indexed citations

5.

Gholami, Amir, Ariful Azad, Peter Jin, Kurt Keutzer, & Aydın Buluç. (2018). Integrated Model, Batch, and Domain Parallelism in Training Neural Networks. eScholarship (California Digital Library). 77–86. 40 indexed citations

6.

Jin, Peter, et al.. (2016). How to scale distributed deep learning?. arXiv (Cornell University). 1. 32 indexed citations

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.

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