Chenglei Wu

37 total papers · 825 total citations
25 papers, 572 citations indexed

About

Chenglei Wu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Chenglei Wu has authored 25 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 9 papers in Signal Processing and 6 papers in Computer Networks and Communications. Recurrent topics in Chenglei Wu's work include Image and Video Quality Assessment (20 papers), Video Coding and Compression Technologies (9 papers) and Caching and Content Delivery (6 papers). Chenglei Wu is often cited by papers focused on Image and Video Quality Assessment (20 papers), Video Coding and Compression Technologies (9 papers) and Caching and Content Delivery (6 papers). Chenglei Wu collaborates with scholars based in China, Canada and Hong Kong. Chenglei Wu's co-authors include Zhi Wang, Lifeng Sun, Rui-Xiao Zhang, Shiqiang Yang, Zhi-Hao Tan, Tianchi Huang, Chao Zhou, Xin Yao, Qionghai Dai and Xudong Xie and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Parallel and Distributed Systems and ACM Transactions on Multimedia Computing Communications and Applications.

In The Last Decade

Chenglei Wu

22 papers receiving 568 citations

Author Peers

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

Author Last Decade Papers Cites
Chenglei Wu 475 259 150 81 54 25 572
Rob Koenen 483 1.0× 240 0.9× 94 0.6× 72 0.9× 35 0.6× 19 627
Saman Zadtootaghaj 472 1.0× 150 0.6× 171 1.1× 27 0.3× 42 0.8× 35 619
Nabajeet Barman 570 1.2× 220 0.8× 160 1.1× 25 0.3× 52 1.0× 34 691
Bruno Gardlo 456 1.0× 129 0.5× 139 0.9× 65 0.8× 66 1.2× 20 608
Ching-Ling Fan 476 1.0× 237 0.9× 105 0.7× 19 0.2× 34 0.6× 18 551
Bernhard Feiten 448 0.9× 265 1.0× 105 0.7× 32 0.4× 35 0.6× 31 520
Matthew Broadbent 252 0.5× 135 0.5× 447 3.0× 45 0.6× 89 1.6× 40 550
Nicolas Staelens 473 1.0× 230 0.9× 97 0.6× 18 0.2× 43 0.8× 33 529
Christian Keimel 490 1.0× 117 0.5× 51 0.3× 43 0.5× 27 0.5× 37 612
Patrice Rondão Alface 542 1.1× 302 1.2× 131 0.9× 33 0.4× 49 0.9× 37 625

Countries citing papers authored by Chenglei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chenglei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenglei Wu

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