Yajie Yan
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- Computer Graphics and Visualization Techniques 8
- Computational Geometry and Mesh Generation 4
- Computational Mechanics top 10%
- 3D Shape Modeling and Analysis 7
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- Advanced Vision and Imaging 4
- Digital Image Processing Techniques 2
- Image Processing and 3D Reconstruction 2
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- Commutative Algebra and Its Applications 1
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- Bluetooth and Wireless Communication Technologies 1
- Co-authors
- Tao JuDavid LetscherErin Wolf ChambersDanny M. KaufmanQingnan ZhouShahar Z. KovalskyNoam AigermanChris Wyman
- Cited by
- Computer Graphics and Computer-Aided DesignComputational MechanicsComputer Vision and Pattern Recognition
- Journals
- ACM Transactions on Graphics (4 papers)The Visual Computer (1 paper)Multimedia Tools and Applications (1 paper)
- Partner nations
- United StatesChinaIsrael
In The Last Decade
Yajie Yan
13 papers receiving 129 citations
Peers
Comparison fields: 5 of 32
- Computer Graphics and Computer-Aided Design 88
- Computational Mechanics 93
- Computer Vision and Pattern Recognition 61
- Geology 10
- Space and Planetary Science 1
Countries citing papers authored by Yajie Yan
This map shows the geographic impact of Yajie Yan'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 Yajie Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yajie Yan more than expected).
Fields of papers citing papers by Yajie Yan
This network shows the impact of papers produced by Yajie Yan. 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 Yajie Yan. The network helps show where Yajie Yan may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Yajie Yan, 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 | 2022 | 5 | |
| 2 | 2021 | 2 | |
| 3 | 2021 | 9 | |
| 4 | 2020 | 33 | |
| 5 | Some Heuristics for the Homological Simplification Problem. | 2018 | 1 |
| 6 | 2018 | 33 | |
| 7 | 2017 | 1 | |
| 8 | 2016 | 34 | |
| 9 | 2015 | 2 | |
| 10 | 2014 | 8 | |
| 11 | 2012 | 1 | |
| 12 | 2012 | 1 | |
| 13 | 2011 | 2 |
About Yajie Yan
Yajie Yan is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 13 papers that have together received 132 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (8 papers), 3D Shape Modeling and Analysis (7 papers), Computational Geometry and Mesh Generation (4 papers), Advanced Vision and Imaging (4 papers), Digital Image Processing Techniques (2 papers), Image Processing and 3D Reconstruction (2 papers), Commutative Algebra and Its Applications (1 paper) and Bluetooth and Wireless Communication Technologies (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (88 citations), Computational Mechanics (93 citations) and Computer Vision and Pattern Recognition (61 citations). Yajie Yan has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Tao Ju, David Letscher, Erin Wolf Chambers, Danny M. Kaufman, Qingnan Zhou, Shahar Z. Kovalsky, Noam Aigerman, Chris Wyman, Xiaohui Liang and Ke Xie. Their work appears in journals such as ACM Transactions on Graphics, The Visual Computer, Multimedia Tools and Applications, Computing and Visualization in Science and Canadian Conference on Computational Geometry.
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.