Yilun Wang

100 total papers · 5.6k total citations
56 papers, 3.6k citations indexed

About

Yilun Wang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Yilun Wang has authored 56 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 25 papers in Computational Mechanics and 8 papers in Biomedical Engineering. Recurrent topics in Yilun Wang's work include Sparse and Compressive Sensing Techniques (23 papers), Advanced Image Processing Techniques (15 papers) and Image and Signal Denoising Methods (15 papers). Yilun Wang is often cited by papers focused on Sparse and Compressive Sensing Techniques (23 papers), Advanced Image Processing Techniques (15 papers) and Image and Signal Denoising Methods (15 papers). Yilun Wang collaborates with scholars based in China, United States and Hong Kong. Yilun Wang's co-authors include Wotao Yin, Yin Zhang, Junfeng Yang, Junfeng Yang, Yue Wang, Tianyuan Zhang, Li Fei-Fei, Jia Deng, Timnit Gebru and Jonathan Krause and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and Scientific Reports.

In The Last Decade

Yilun Wang

50 papers receiving 3.4k citations

Hit Papers

A New Alternating Minimiz... 2008 2026 2014 2020 2008 2009 2017 2022 2023 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
Yilun Wang 2.0k 1.2k 612 449 319 56 3.6k
Jérôme Darbon 1.1k 0.6× 1.0k 0.8× 242 0.4× 352 0.8× 232 0.7× 58 2.5k
Gabriel Peyré 2.5k 1.3× 1.9k 1.5× 508 0.8× 598 1.3× 460 1.4× 107 6.1k
Joachim Weickert 4.5k 2.3× 697 0.6× 945 1.5× 336 0.7× 617 1.9× 118 5.8k
Christoph Schnörr 2.7k 1.4× 630 0.5× 312 0.5× 346 0.8× 374 1.2× 128 3.7k
Gilles Aubert 4.4k 2.3× 1.5k 1.3× 1.0k 1.7× 549 1.2× 626 2.0× 106 5.9k
Xavier Bresson 2.5k 1.3× 911 0.7× 577 0.9× 334 0.7× 644 2.0× 66 3.7k
Nahum Kiryati 2.8k 1.4× 568 0.5× 752 1.2× 323 0.7× 362 1.1× 115 3.9k
Jianhong Shen 3.5k 1.8× 1.1k 0.9× 626 1.0× 211 0.5× 203 0.6× 68 4.5k
Tom Goldstein 2.4k 1.2× 1.7k 1.4× 678 1.1× 734 1.6× 707 2.2× 91 5.5k
Rick Chartrand 1.3k 0.7× 2.5k 2.0× 277 0.5× 1.2k 2.6× 689 2.2× 44 4.0k

Countries citing papers authored by Yilun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yilun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yilun Wang

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