Wu Yin

51 papers receiving 583 citations

Peers

Wu Yin
Comparison fields: 5 of 111
  • Computer Graphics and Computer-Aided Design 74
  • Computational Mechanics 231
  • Computer Vision and Pattern Recognition 201
  • Water Science and Technology 42
  • Aerospace Engineering 70
Replace Bo Fu with:
Bo Fu China
Xingyu Chen China
Kevin J. Myers United States
Sean T. Smith United States
Xuanyu Zhou China
Xiyu Zhang China
Huizhong Liu China
Ye Chen China
Jihao Liu China
Asunción Santamaría Spain
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Citations per field
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Citations per year

Countries citing papers authored by Wu Yin

Since Specialization
Citations

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

Fields of papers citing papers by Wu Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wu Yin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wu Yin Line = papers co-authored together Wu Yin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199379
2 199960
3 201756
4 202354
5 199451
6 199549
7 202136
8 202134
9 200226
10 200319
11 200318
12 200216
13 199316
14 199916
15
Tectonic-level-control rule and area-dividing of coalmine gas occurrence in China
201315
16 19939
17 20227
18 20036
19 20214
20
Study of Xinjiang oasis with multitude of temporal and spatial data
20144

About Wu Yin

Wu Yin is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 62 papers that have together received 633 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (9 papers), Computer Graphics and Visualization Techniques (8 papers), Electric Power System Optimization (4 papers), Integrated Energy Systems Optimization (4 papers), Human Pose and Action Recognition (4 papers), Anomaly Detection Techniques and Applications (4 papers), Gait Recognition and Analysis (4 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (74 citations), Computational Mechanics (231 citations), Computer Vision and Pattern Recognition (201 citations), Water Science and Technology (42 citations) and Aerospace Engineering (70 citations). Wu Yin has collaborated with scholars based in China, Switzerland and Bulgaria. Frequent co-authors include Nadia Magnenat‐Thalmann, Tong‐Miin Liou, Daniël Thalmann, Prem Kalra, Laurent Moccozet, Weirui Chen, Laisheng Li, Xukai Li, Yiming Tang and Dan Wu. Their work appears in journals such as Image and Vision Computing, Journal of Fluids Engineering, Monthly Notices of the Royal Astronomical Society, Applied Surface Science and Information Sciences.

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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