Wenming Yang

292 total papers · 4.5k total citations
188 papers, 2.8k citations indexed

About

Wenming Yang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Wenming Yang has authored 188 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Computer Vision and Pattern Recognition, 42 papers in Media Technology and 32 papers in Signal Processing. Recurrent topics in Wenming Yang's work include Advanced Image Processing Techniques (41 papers), Advanced Vision and Imaging (32 papers) and Face recognition and analysis (28 papers). Wenming Yang is often cited by papers focused on Advanced Image Processing Techniques (41 papers), Advanced Vision and Imaging (32 papers) and Face recognition and analysis (28 papers). Wenming Yang collaborates with scholars based in China, United Kingdom and United States. Wenming Yang's co-authors include Qingmin Liao, Jing‐Hao Xue, Yapeng Tian, Xuechen Zhang, Wei Wang, Fei Zhou, Biao Wang, Weifeng Li, Runwei Ding and Hong Liu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Wenming Yang

163 papers receiving 2.7k citations

Hit Papers

Deep Learning for Single ... 2019 2026 2021 2023 2019 2022 2025 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
Wenming Yang 1.7k 580 445 329 290 188 2.8k
Xin Liu 1.1k 0.6× 221 0.4× 127 0.3× 498 1.5× 319 1.1× 167 2.4k
Wei Hong 878 0.5× 291 0.5× 178 0.4× 277 0.8× 247 0.9× 122 2.0k
Michael S. Brown 2.0k 1.2× 733 1.3× 34 0.1× 184 0.6× 105 0.4× 129 3.6k
Kai Liu 1.4k 0.8× 854 1.5× 46 0.1× 331 1.0× 170 0.6× 267 3.5k
Feng Zhou 439 0.3× 218 0.4× 121 0.3× 1.1k 3.5× 538 1.9× 310 4.9k
Kaixin Wang 620 0.4× 107 0.2× 52 0.1× 332 1.0× 426 1.5× 193 3.5k
Tien D. Bui 1.7k 1.0× 690 1.2× 298 0.7× 83 0.3× 246 0.8× 126 2.3k
Jinho Lee 610 0.4× 231 0.4× 115 0.3× 1.3k 4.0× 260 0.9× 210 3.6k
Satoshi Suzuki 1.2k 0.7× 178 0.3× 91 0.2× 220 0.7× 213 0.7× 96 2.7k
Xun Cao 2.1k 1.2× 881 1.5× 387 0.9× 599 1.8× 248 0.9× 164 3.5k

Countries citing papers authored by Wenming Yang

Since Specialization
Citations

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

Fields of papers citing papers by Wenming Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenming Yang

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