Pengfei Dou

18 total papers · 465 total citations
12 papers, 268 citations indexed

About

Pengfei Dou is a scholar working on Computer Vision and Pattern Recognition, Dermatology and Neurology. According to data from OpenAlex, Pengfei Dou has authored 12 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 2 papers in Dermatology and 2 papers in Neurology. Recurrent topics in Pengfei Dou's work include Face recognition and analysis (9 papers), Face and Expression Recognition (5 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Pengfei Dou is often cited by papers focused on Face recognition and analysis (9 papers), Face and Expression Recognition (5 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Pengfei Dou collaborates with scholars based in United States, China and Italy. Pengfei Dou's co-authors include Ioannis A. Kakadiaris, Shishir K. Shah, Xiang Xu, Lingfeng Zhang, Zhijing Xie, Qian Xu, Linlin Chen, Jingxin Li, Shijin Jiang and Ruihua Zhang and has published in prestigious journals such as Journal of Virology, IEEE Access and Pattern Recognition.

In The Last Decade

Pengfei Dou

12 papers receiving 256 citations

Author Peers

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

Author Last Decade Papers Cites
Pengfei Dou 229 65 62 31 18 12 268
Patrik Huber 245 1.1× 67 1.0× 59 1.0× 23 0.7× 11 0.6× 12 293
Joseph Roth 220 1.0× 59 0.9× 139 2.2× 22 0.7× 5 0.3× 12 328
Soubhik Sanyal 193 0.8× 85 1.3× 22 0.4× 23 0.7× 15 0.8× 7 203
Alexandros Lattas 125 0.5× 50 0.8× 26 0.4× 9 0.3× 29 1.6× 13 164
Dalong Jiang 262 1.1× 65 1.0× 64 1.0× 4 0.1× 8 0.4× 9 277
Cho-Ying Wu 147 0.6× 135 2.1× 14 0.2× 7 0.2× 45 2.5× 9 265
Zhaoyang Lyu 113 0.5× 22 0.3× 5 0.1× 15 0.5× 15 0.8× 7 167
Joan Alabort-i-Medina 261 1.1× 41 0.6× 70 1.1× 3 0.1× 3 0.2× 10 289
Lei Zhang 301 1.3× 73 1.1× 71 1.1× 3 0.1× 16 0.9× 6 324
Zhiheng Niu 252 1.1× 14 0.2× 79 1.3× 19 0.6× 2 0.1× 17 320

Countries citing papers authored by Pengfei Dou

Since Specialization
Citations

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

Fields of papers citing papers by Pengfei Dou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengfei Dou

This figure shows the co-authorship network connecting the top 25 collaborators of Pengfei Dou. A scholar is included among the top collaborators of Pengfei Dou 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 Pengfei Dou. Pengfei Dou 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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2026