Peng Fu

136 total papers · 1.1k total citations
67 papers, 687 citations indexed

About

Peng Fu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Peng Fu has authored 67 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 20 papers in Media Technology and 12 papers in Artificial Intelligence. Recurrent topics in Peng Fu's work include Remote-Sensing Image Classification (17 papers), Advanced Image Fusion Techniques (12 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Peng Fu is often cited by papers focused on Remote-Sensing Image Classification (17 papers), Advanced Image Fusion Techniques (12 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Peng Fu collaborates with scholars based in China, Australia and Canada. Peng Fu's co-authors include Guo Cao, Youqiang Zhang, Quansen Sun, Zexuan Ji, Hao Shi, Bisheng Wang, Xuesong Li, Cheng Peng, Tao Wang and Hailin Tang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Peng Fu

61 papers receiving 665 citations

Author Peers

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

Author Last Decade Papers Cites
Peng Fu 314 217 172 87 48 67 687
Xiaoyan Luo 331 1.1× 318 1.5× 122 0.7× 143 1.6× 84 1.8× 89 793
Raúl Guerra 334 1.1× 228 1.1× 111 0.6× 93 1.1× 12 0.3× 43 638
Hao Li 336 1.1× 233 1.1× 133 0.8× 116 1.3× 50 1.0× 45 772
Neal R. Harvey 188 0.6× 250 1.2× 59 0.3× 255 2.9× 49 1.0× 57 662
Jindong Xu 229 0.7× 270 1.2× 55 0.3× 133 1.5× 15 0.3× 74 698
Yuanxi Peng 313 1.0× 201 0.9× 98 0.6× 75 0.9× 11 0.2× 78 725
Yun Ding 230 0.7× 162 0.7× 88 0.5× 133 1.5× 53 1.1× 51 631
Jacques Blanc-Talon 352 1.1× 404 1.9× 104 0.6× 41 0.5× 9 0.2× 38 674
Bai Xue 301 1.0× 341 1.6× 166 1.0× 89 1.0× 11 0.2× 41 675
Krishna Mohan Buddhiraju 359 1.1× 225 1.0× 182 1.1× 85 1.0× 9 0.2× 78 601

Countries citing papers authored by Peng Fu

Since Specialization
Citations

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

Fields of papers citing papers by Peng Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Fu

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