Chunyu Yang

34 total papers · 619 total citations
23 papers, 382 citations indexed

About

Chunyu Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Chunyu Yang has authored 23 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Chunyu Yang's work include Face and Expression Recognition (8 papers), Image and Signal Denoising Methods (5 papers) and Advanced Image Processing Techniques (4 papers). Chunyu Yang is often cited by papers focused on Face and Expression Recognition (8 papers), Image and Signal Denoising Methods (5 papers) and Advanced Image Processing Techniques (4 papers). Chunyu Yang collaborates with scholars based in China, Taiwan and Australia. Chunyu Yang's co-authors include Jie Zhou, Jinwei Gu, Xi Wang, Jie Zhou, Chu‐Song Chen, Weiwei Wang, Xiangchu Feng, Ming‐Sui Lee, Xiangyu Tang and Zaiqing Nie and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Chunyu Yang

21 papers receiving 347 citations

Author Peers

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

Author Last Decade Papers Cites
Chunyu Yang 204 149 135 83 44 23 382
Branka Stojanović 67 0.3× 138 0.9× 161 1.2× 132 1.6× 44 1.0× 36 395
Michele Donini 117 0.6× 229 1.5× 26 0.2× 21 0.3× 43 1.0× 36 416
Gerald T. Candela 187 0.9× 169 1.1× 187 1.4× 101 1.2× 37 0.8× 12 391
Marcus Leich 93 0.5× 109 0.7× 79 0.6× 178 2.1× 44 1.0× 15 377
Seema Nagar 53 0.3× 247 1.7× 37 0.3× 105 1.3× 63 1.4× 33 422
Kelvin Sim 117 0.6× 217 1.5× 73 0.5× 120 1.4× 2 0.0× 24 427
Aditya Ramesh 102 0.5× 193 1.3× 47 0.3× 26 0.3× 16 0.4× 14 385
Peipeng Yu 310 1.5× 154 1.0× 82 0.6× 44 0.5× 34 0.8× 18 435
Enrique Cantó 170 0.8× 89 0.6× 206 1.5× 86 1.0× 9 0.2× 45 352
Andrew Ilyas 118 0.6× 339 2.3× 58 0.4× 19 0.2× 8 0.2× 22 436

Countries citing papers authored by Chunyu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chunyu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunyu Yang

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