Wencheng Wu

49 total papers · 2.4k total citations
36 papers, 1.7k citations indexed

About

Wencheng Wu is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Signal Processing. According to data from OpenAlex, Wencheng Wu has authored 36 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 7 papers in Atomic and Molecular Physics, and Optics and 6 papers in Signal Processing. Recurrent topics in Wencheng Wu's work include Color Science and Applications (7 papers), Image Enhancement Techniques (7 papers) and Video Surveillance and Tracking Methods (5 papers). Wencheng Wu is often cited by papers focused on Color Science and Applications (7 papers), Image Enhancement Techniques (7 papers) and Video Surveillance and Tracking Methods (5 papers). Wencheng Wu collaborates with scholars based in United States, China and France. Wencheng Wu's co-authors include Edul N. Dalal, Gaurav Sharma, Robert P. Loce, Edgar A. Bernal, Raja Bala, Mostafa Analoui, Jan P. Allebach, Reiner Eschbach, Orhan Bulan and Zhigang Fan and has published in prestigious journals such as Mechanical Systems and Signal Processing, Journal of Heredity and Color Research & Application.

In The Last Decade

Wencheng Wu

34 papers receiving 1.6k citations

Hit Papers

The CIEDE2000 color-diffe... 2004 2026 2011 2018 2004 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Wencheng Wu 709 492 297 269 170 36 1.7k
Edul N. Dalal 622 0.9× 522 1.1× 298 1.0× 222 0.8× 177 1.0× 21 1.6k
Rolf G. Kuehni 146 0.2× 578 1.2× 255 0.9× 49 0.2× 568 3.3× 93 1.4k
Lapo Governi 304 0.4× 55 0.1× 7 0.0× 41 0.2× 53 0.3× 112 1.3k
Giovanna Sansoni 1.3k 1.8× 44 0.1× 8 0.0× 317 1.2× 9 0.1× 78 1.9k
C. Wykes 727 1.0× 228 0.5× 4 0.0× 157 0.6× 15 0.1× 42 1.9k
Jason Geng 1.0k 1.4× 306 0.6× 14 0.0× 778 2.9× 7 0.0× 20 2.0k
Hassan Soliman 136 0.2× 73 0.1× 86 0.3× 21 0.1× 4 0.0× 43 2.0k
James W. Dally 232 0.3× 105 0.2× 41 0.1× 59 0.2× 16 0.1× 32 1.7k
Roberto Marani 322 0.5× 89 0.2× 7 0.0× 26 0.1× 24 0.1× 146 2.2k
Alberto Signoroni 424 0.6× 10 0.0× 28 0.1× 244 0.9× 16 0.1× 86 1.4k

Countries citing papers authored by Wencheng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Wencheng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wencheng Wu

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