Wenfeng Song

92 total papers · 1.3k total citations
58 papers, 846 citations indexed

About

Wenfeng Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Wenfeng Song has authored 58 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 8 papers in Control and Systems Engineering. Recurrent topics in Wenfeng Song's work include Advanced Vision and Imaging (10 papers), Human Pose and Action Recognition (10 papers) and Video Surveillance and Tracking Methods (9 papers). Wenfeng Song is often cited by papers focused on Advanced Vision and Imaging (10 papers), Human Pose and Action Recognition (10 papers) and Video Surveillance and Tracking Methods (9 papers). Wenfeng Song collaborates with scholars based in China, United States and New Zealand. Wenfeng Song's co-authors include Aimin Hao, Hong Qin, Shuai Li, Ke Xie, Shuai Li, Bo Zhang, Chenglizhao Chen, Yuanqiang Zhang, Ji Liu and Yuting Guo and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Applied Microbiology and Biotechnology.

In The Last Decade

Wenfeng Song

51 papers receiving 827 citations

Hit Papers

CenterFormer: A Novel Clu... 2024 2026 2024 10 20 30 40

Author Peers

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

Author Last Decade Papers Cites
Wenfeng Song 391 261 176 120 110 58 846
Ganbayar Batchuluun 360 0.9× 202 0.8× 190 1.1× 63 0.5× 62 0.6× 33 765
Zhuo Zhang 334 0.9× 146 0.6× 37 0.2× 23 0.2× 77 0.7× 74 915
Sakshi Arora 248 0.6× 141 0.5× 113 0.6× 45 0.4× 32 0.3× 44 870
Hyunsoo Yoon 138 0.4× 196 0.8× 148 0.8× 11 0.1× 40 0.4× 49 813
Zijian Zhao 340 0.9× 150 0.6× 86 0.5× 7 0.1× 114 1.0× 73 846
Wenhui Li 534 1.4× 290 1.1× 88 0.5× 72 0.6× 64 0.6× 101 1.0k
Abdullah Alqahtani 236 0.6× 306 1.2× 163 0.9× 10 0.1× 27 0.2× 96 923
Yuan Li 751 1.9× 273 1.0× 60 0.3× 6 0.1× 106 1.0× 30 1.1k
Aleksandar Vakanski 403 1.0× 416 1.6× 199 1.1× 56 0.5× 22 0.2× 42 1.0k
Yang Wen 472 1.2× 120 0.5× 256 1.5× 7 0.1× 43 0.4× 61 1.0k

Countries citing papers authored by Wenfeng Song

Since Specialization
Citations

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

Fields of papers citing papers by Wenfeng Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenfeng Song

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