Pei Fu

10 total papers · 917 total citations
5 papers, 283 citations indexed

About

Pei Fu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Automotive Engineering. According to data from OpenAlex, Pei Fu has authored 5 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Media Technology and 1 paper in Automotive Engineering. Recurrent topics in Pei Fu's work include Handwritten Text Recognition Techniques (4 papers), Vehicle License Plate Recognition (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Pei Fu is often cited by papers focused on Handwritten Text Recognition Techniques (4 papers), Vehicle License Plate Recognition (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Pei Fu collaborates with scholars based in China and Switzerland. Pei Fu's co-authors include Xiangyu Zhu, Wei Li, Zhenbo Luo, Hua Wang, Xiaobing Wang, Yingying Jiang, Shuli Yang, Xiang Ji, Xiangyu Zhu and Xiaoming Wei and has published in prestigious journals such as .

In The Last Decade

Pei Fu

5 papers receiving 279 citations

Author Peers

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

Author Last Decade Papers Cites
Pei Fu 254 121 58 22 13 5 283
Long Chen 247 1.0× 78 0.6× 69 1.2× 19 0.9× 7 0.5× 10 317
Lahav Lipson 219 0.9× 62 0.5× 59 1.0× 12 0.5× 4 0.3× 6 270
Da-Wei Jaw 261 1.0× 54 0.4× 23 0.4× 27 1.2× 15 1.2× 11 308
Syed Muhammad Arsalan Bashir 153 0.6× 109 0.9× 47 0.8× 20 0.9× 4 0.3× 7 232
Kaixuan Hu 233 0.9× 111 0.9× 129 2.2× 30 1.4× 5 0.4× 11 322
Shuli Yang 214 0.8× 110 0.9× 57 1.0× 16 0.7× 2 0.2× 6 252
Hyungjoo Jung 259 1.0× 195 1.6× 30 0.5× 16 0.7× 7 0.5× 13 293
Wen Qian 209 0.8× 104 0.9× 99 1.7× 18 0.8× 2 0.2× 7 279
Wenshuo Gao 196 0.8× 70 0.6× 23 0.4× 20 0.9× 8 0.6× 4 312
Ziteng Cui 164 0.6× 35 0.3× 61 1.1× 21 1.0× 7 0.5× 9 209

Countries citing papers authored by Pei Fu

Since Specialization
Citations

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

Fields of papers citing papers by Pei Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Pei Fu. A scholar is included among the top collaborators of Pei Fu 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 Pei Fu. Pei Fu 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