Pengfei Wei

74 total papers · 910 total citations
50 papers, 476 citations indexed

About

Pengfei Wei is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Geophysics. According to data from OpenAlex, Pengfei Wei has authored 50 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 7 papers in Geophysics. Recurrent topics in Pengfei Wei's work include Domain Adaptation and Few-Shot Learning (17 papers), Gaussian Processes and Bayesian Inference (8 papers) and Geochemistry and Geologic Mapping (8 papers). Pengfei Wei is often cited by papers focused on Domain Adaptation and Few-Shot Learning (17 papers), Gaussian Processes and Bayesian Inference (8 papers) and Geochemistry and Geologic Mapping (8 papers). Pengfei Wei collaborates with scholars based in China, Singapore and Australia. Pengfei Wei's co-authors include Yiping Ke, Chi-Keong Goh, Wenxiong Liao, Bi Zeng, Yew-Soon Ong, Xinghua Qu, Chao Lan, Guo‐Ping Jiang, Fei Wu and Xiao‐Yuan Jing and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and Information Sciences.

In The Last Decade

Pengfei Wei

45 papers receiving 456 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 Wei 337 112 35 25 24 50 476
Jianhua Xu 310 0.9× 260 2.3× 73 2.1× 12 0.5× 31 1.3× 42 549
Shi Yu 233 0.7× 190 1.7× 40 1.1× 5 0.2× 12 0.5× 29 519
Rushil Anirudh 148 0.4× 165 1.5× 34 1.0× 5 0.2× 24 1.0× 52 485
Hirotaka Hachiya 334 1.0× 145 1.3× 12 0.3× 9 0.4× 72 3.0× 39 540
Harish Kumar 95 0.3× 44 0.4× 75 2.1× 54 2.2× 21 0.9× 62 517
Tuo Zhao 177 0.5× 114 1.0× 13 0.4× 8 0.3× 41 1.7× 51 470
Sang‐Woon Kim 278 0.8× 110 1.0× 101 2.9× 36 1.4× 20 0.8× 56 497
Salima Ouadfel 283 0.8× 199 1.8× 28 0.8× 3 0.1× 36 1.5× 27 526
Meiqing Wang 156 0.5× 216 1.9× 37 1.1× 10 0.4× 10 0.4× 70 533
Mansoor Rezghi 85 0.3× 158 1.4× 41 1.2× 14 0.6× 10 0.4× 33 420

Countries citing papers authored by Pengfei Wei

Since Specialization
Citations

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

Fields of papers citing papers by Pengfei Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengfei Wei

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