Yiqun Wang
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- Computer Graphics and Visualization Techniques 9
- Computational Geometry and Mesh Generation 4
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- Advanced Vision and Imaging 7
- Handwritten Text Recognition Techniques 4
- Optical measurement and interference techniques 4
- Image Retrieval and Classification Techniques 4
- Geology top 10%
- 3D Surveying and Cultural Heritage 4
- Computational Mechanics top 10%
- 3D Shape Modeling and Analysis 10
- Co-authors
- Zhengda LuYing WangPeter WonkaDong‐Ming YanJun XiaoChengcheng TangXiaohan LiuXiaopeng Zhang
- Cited by
- Computer Graphics and Computer-Aided DesignAcoustics and UltrasonicsComputer Vision and Pattern Recognition
- Journals
- Applied Physics Letters (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Transactions on Image Processing (3 papers)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Yiqun Wang
31 papers receiving 207 citations
Peers
Comparison fields: 5 of 63
- Computer Graphics and Computer-Aided Design 58
- Acoustics and Ultrasonics 5
- Computer Vision and Pattern Recognition 110
- Geology 28
- Computational Mechanics 66
Countries citing papers authored by Yiqun Wang
This map shows the geographic impact of Yiqun Wang'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 Yiqun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiqun Wang more than expected).
Fields of papers citing papers by Yiqun Wang
This network shows the impact of papers produced by Yiqun Wang. 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 Yiqun Wang. The network helps show where Yiqun Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yiqun Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 9 | |
| 14 | 2023 | 0 | |
| 15 | 2022 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2022 | 13 | |
| 18 | 2022 | 2 | |
| 19 | 2017 | 8 | |
| 20 | The Present Situation of Japanese Informationization Construction and its Enlightment for China | 2005 | 0 |
About Yiqun Wang
Yiqun Wang is a scholar working on Computer Graphics and Computer-Aided Design, Acoustics and Ultrasonics and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 214 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (10 papers), Computer Graphics and Visualization Techniques (9 papers), Advanced Vision and Imaging (7 papers), Computational Geometry and Mesh Generation (4 papers), Handwritten Text Recognition Techniques (4 papers), Optical measurement and interference techniques (4 papers), 3D Surveying and Cultural Heritage (4 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (58 citations), Acoustics and Ultrasonics (5 citations) and Computer Vision and Pattern Recognition (110 citations). Yiqun Wang has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Zhengda Lu, Ying Wang, Peter Wonka, Dong‐Ming Yan, Jun Xiao, Jun Xiao, Chengcheng Tang, Xiaohan Liu, Xiaopeng Zhang and Ivan Skorokhodov. Their work appears in journals such as Applied Physics Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.
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.