Peilun Shi

23 total papers · 486 total citations
8 papers, 227 citations indexed

About

Peilun Shi is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Ophthalmology. According to data from OpenAlex, Peilun Shi has authored 8 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Ophthalmology. Recurrent topics in Peilun Shi's work include Retinal Imaging and Analysis (4 papers), Retinal Diseases and Treatments (3 papers) and Artificial Intelligence in Healthcare (1 paper). Peilun Shi is often cited by papers focused on Retinal Imaging and Analysis (4 papers), Retinal Diseases and Treatments (3 papers) and Artificial Intelligence in Healthcare (1 paper). Peilun Shi collaborates with scholars based in United Kingdom, Hong Kong and China. Peilun Shi's co-authors include Wu Yuan, Jianing Qiu, Frank P.-W. Lo, Wei Hao, Benny Lo, Kyle Lam, Ningli Wang, Dong Xu, Jiankai Sun and Ruiyang Zhang and has published in prestigious journals such as Computers in Biology and Medicine, IEEE Journal of Biomedical and Health Informatics and IEEE Robotics and Automation Letters.

In The Last Decade

Peilun Shi

7 papers receiving 222 citations

Author Peers

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

Author Last Decade Papers Cites
Peilun Shi 72 64 57 42 29 8 227
Pawan Kumar Mall 108 1.5× 113 1.8× 81 1.4× 24 0.6× 39 1.3× 12 280
Nitin Kumar Chauhan 101 1.4× 40 0.6× 35 0.6× 14 0.3× 26 0.9× 9 262
Sourodip Ghosh 110 1.5× 137 2.1× 109 1.9× 15 0.4× 28 1.0× 11 263
Anam Fatima 47 0.7× 120 1.9× 86 1.5× 7 0.2× 19 0.7× 13 248
Meirui Jiang 155 2.2× 74 1.2× 53 0.9× 25 0.6× 24 0.8× 8 232
Sharut Gupta 74 1.0× 96 1.5× 18 0.3× 48 1.1× 23 0.8× 5 206
Loc Trinh 99 1.4× 20 0.3× 66 1.2× 30 0.7× 17 0.6× 6 251
Arpan Basu 175 2.4× 146 2.3× 60 1.1× 24 0.6× 13 0.4× 13 282
Sameer Razzaq Oleiwi 94 1.3× 104 1.6× 76 1.3× 8 0.2× 36 1.2× 6 301
Hamzeh Asgharnezhad 121 1.7× 109 1.7× 34 0.6× 20 0.5× 9 0.3× 8 236

Countries citing papers authored by Peilun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Peilun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peilun Shi. 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 Peilun Shi. The network helps show where Peilun Shi may publish in the future.

Co-authorship network of co-authors of Peilun Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Peilun Shi. A scholar is included among the top collaborators of Peilun Shi 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 Peilun Shi. Peilun Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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