Weidong Yang

1.2k total citations · 2 hit papers
65 papers, 698 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 65 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 14 papers in Computational Mechanics. Recurrent topics in Weidong Yang's work include 3D Shape Modeling and Analysis (13 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 (13 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, Wendong Xiao, Yanjiao Li, Jie Zhang, Sen Zhang, Feiping Nie, Guangzhao Zhang, Wen‐Ming Chen, Tianyue Luo and Liang Pan 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

51 papers receiving 675 citations

Hit Papers

Generative Diffusion Prior for Unified Image Restoration ... 2022 2026 2023 2024 2023 2022 40 80 120

Peers

Weidong Yang
Comparison fields: 5 of 121
  • Computer Vision and Pattern Recognition 276
  • Artificial Intelligence 209
  • Computational Mechanics 119
  • Computer Networks and Communications 81
  • Geology 67
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Shuai Li China
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Brody Huval United States
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Florian Shkurti Canada
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André Stork Germany
Linjun Sun China
Zan Gao China View profile →
Citations per field, relative to Weidong Yang
Weidong Yang · 1×
Citations per year, relative to Weidong Yang
Weidong Yang · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 0
4 1
5 0
6 5
7 1
8 0
9 2
10 3
11 0
12 2
13 35
14 0
15 8
16
Comprehensive Review of Deep Learning-Based 3D Point Cloud Completion Processing and Analysis breakdown →
109
17 2
18 6
19
Child health care support programs for deafness, dental services and Down syndrome
1
20
Linguistics and Language Teaching
1

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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