Yuntao Chen

111 total papers · 3.3k total citations
50 papers, 1.8k citations indexed

About

Yuntao Chen is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Yuntao Chen has authored 50 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 10 papers in Mechanical Engineering and 9 papers in Computational Mechanics. Recurrent topics in Yuntao Chen's work include Advanced Neural Network Applications (12 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Welding Techniques and Residual Stresses (7 papers). Yuntao Chen is often cited by papers focused on Advanced Neural Network Applications (12 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Welding Techniques and Residual Stresses (7 papers). Yuntao Chen collaborates with scholars based in China, United States and India. Yuntao Chen's co-authors include Zhaoxiang Zhang, Naiyan Wang, Yanghao Li, Haiping Wu, Chuanchen Luo, Matthias Ihme, Xizhou Zhu, Zhaoxiang Zhang, Lewei Lu and Yu Qiao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, RSC Advances and Combustion and Flame.

In The Last Decade

Yuntao Chen

43 papers receiving 1.8k citations

Hit Papers

Scale-Aware Trident Netwo... 2019 2026 2021 2023 2019 2023 2024 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Yuntao Chen 1.2k 322 277 156 134 50 1.8k
Zeming Li 1.6k 1.3× 654 2.0× 395 1.4× 76 0.5× 185 1.4× 51 2.3k
Ruimao Zhang 1.1k 1.0× 531 1.6× 108 0.4× 271 1.7× 95 0.7× 70 2.0k
Tiancai Wang 905 0.8× 257 0.8× 212 0.8× 41 0.3× 88 0.7× 36 1.2k
Hongyuan Wang 478 0.4× 177 0.5× 174 0.6× 110 0.7× 154 1.1× 147 1.4k
Yandong Guo 1.3k 1.1× 904 2.8× 81 0.3× 182 1.2× 127 0.9× 123 2.3k
Xinghao Chen 1.2k 1.0× 504 1.6× 139 0.5× 52 0.3× 232 1.7× 55 1.9k
Kai Chen 656 0.6× 129 0.4× 225 0.8× 42 0.3× 91 0.7× 76 1.4k
Chenfeng Xu 915 0.8× 340 1.1× 214 0.8× 36 0.2× 147 1.1× 55 2.1k
Dong Zhang 722 0.6× 243 0.8× 243 0.9× 33 0.2× 217 1.6× 80 1.4k
Dequan Wang 1.3k 1.1× 590 1.8× 325 1.2× 59 0.4× 131 1.0× 58 1.8k

Countries citing papers authored by Yuntao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yuntao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuntao Chen

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