Yulun Zhang

316 total papers · 22.7k total citations
124 papers, 8.2k citations indexed

About

Yulun Zhang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Yulun Zhang has authored 124 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Computer Vision and Pattern Recognition, 49 papers in Media Technology and 17 papers in Artificial Intelligence. Recurrent topics in Yulun Zhang's work include Advanced Image Processing Techniques (51 papers), Image and Signal Denoising Methods (47 papers) and Advanced Image Fusion Techniques (27 papers). Yulun Zhang is often cited by papers focused on Advanced Image Processing Techniques (51 papers), Image and Signal Denoising Methods (47 papers) and Advanced Image Fusion Techniques (27 papers). Yulun Zhang collaborates with scholars based in China, United States and Switzerland. Yulun Zhang's co-authors include Yun Fu, Yapeng Tian, Bineng Zhong, Yu Kong, Kai Li, Kunpeng Li, Radu Timofte, Luc Van Gool, Haoqian Wang and Yuanhao Cai and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Colloid and Interface Science.

In The Last Decade

Yulun Zhang

112 papers receiving 8.0k citations

Hit Papers

Residual Dense Network fo... 2018 2026 2020 2023 2018 2020 2023 2019 2020 500 1000 1.5k 2.0k 2.5k

Author Peers

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

Author Last Decade Papers Cites
Yulun Zhang 6.6k 3.6k 919 584 449 124 8.2k
Xinghao Ding 7.6k 1.2× 3.8k 1.1× 1.3k 1.4× 553 0.9× 684 1.5× 204 9.2k
Lu Yuan 8.3k 1.3× 1.9k 0.5× 1.7k 1.8× 422 0.7× 309 0.7× 106 10.2k
Kyoung Mu Lee 11.3k 1.7× 4.3k 1.2× 861 0.9× 542 0.9× 562 1.3× 194 12.6k
Radu Timofte 12.2k 1.8× 5.7k 1.6× 1.1k 1.2× 788 1.3× 529 1.2× 180 14.7k
Risheng Liu 5.8k 0.9× 3.0k 0.8× 458 0.5× 424 0.7× 182 0.4× 202 7.0k
Bineng Zhong 5.5k 0.8× 2.0k 0.6× 746 0.8× 484 0.8× 225 0.5× 142 6.6k
Yi Li 5.3k 0.8× 1.4k 0.4× 1.2k 1.3× 326 0.6× 336 0.7× 104 7.0k
Xiaojie Guo 8.4k 1.3× 4.1k 1.1× 642 0.7× 415 0.7× 183 0.4× 99 9.6k
Xin Fan 5.3k 0.8× 2.9k 0.8× 465 0.5× 415 0.7× 416 0.9× 295 7.5k
Zehan Wang 10.2k 1.5× 4.8k 1.3× 984 1.1× 717 1.2× 845 1.9× 48 12.6k

Countries citing papers authored by Yulun Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Yulun Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yulun Zhang

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