Weidong Yang

151 total papers · 1.2k total citations
64 papers, 675 citations indexed

About

Weidong Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Weidong Yang has authored 64 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 13 papers in Computational Mechanics. Recurrent topics in Weidong Yang's work include 3D Shape Modeling and Analysis (12 papers), Advanced Database Systems and Queries (7 papers) and 3D Surveying and Cultural Heritage (6 papers). Weidong Yang is often cited by papers focused on 3D Shape Modeling and Analysis (12 papers), Advanced Database Systems and Queries (7 papers) and 3D Surveying and Cultural Heritage (6 papers). Weidong Yang collaborates with scholars based in China, Hong Kong and Singapore. Weidong Yang's co-authors include Ben Fei, Yanjiao Li, Jie Zhang, Sen Zhang, Wendong Xiao, Feiping Nie, Guangzhao Zhang, Wen‐Ming Chen, Junzhe Zhang and Bo Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Weidong Yang

50 papers receiving 652 citations

Hit Papers

Generative Diffusion Prio... 2023 2026 2024 2023 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Weidong Yang 269 207 108 81 65 64 675
Lingfeng Yang 318 1.2× 153 0.7× 140 1.3× 85 1.0× 21 0.3× 32 778
Yan Cui 316 1.2× 147 0.7× 35 0.3× 66 0.8× 32 0.5× 32 603
Lili Zhao 278 1.0× 249 1.2× 52 0.5× 48 0.6× 161 2.5× 72 670
Soo Kyun Kim 242 0.9× 130 0.6× 73 0.7× 216 2.7× 227 3.5× 74 710
Hao Zhao 476 1.8× 142 0.7× 78 0.7× 15 0.2× 31 0.5× 45 740
Dino Schweitzer 177 0.7× 70 0.3× 106 1.0× 38 0.5× 129 2.0× 45 638
Aihua Mao 261 1.0× 82 0.4× 81 0.8× 18 0.2× 45 0.7× 53 580
Xuanya Li 368 1.4× 246 1.2× 101 0.9× 24 0.3× 58 0.9× 71 654
Jim X. Chen 195 0.7× 93 0.4× 106 1.0× 29 0.4× 32 0.5× 80 578
Alexander G. Ororbia 157 0.6× 312 1.5× 38 0.4× 72 0.9× 92 1.4× 42 563

Countries citing papers authored by Weidong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Weidong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weidong Yang

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