Junshu Tang
Impact in
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- Computer Graphics and Visualization Techniques
- Geology top 10%
- 3D Surveying and Cultural Heritage
Papers in
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- Generative Adversarial Networks and Image Synthesis 5
- Advanced Vision and Imaging 4
- Face recognition and analysis 3
- Human Pose and Action Recognition 2
- Advanced Image Processing Techniques 2
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- 3D Shape Modeling and Analysis 5
- Co-authors
- Lizhuang Ma (9 shared papers)Ran Yi (3 shared papers)Bo Zhang (2 shared papers)Tengfei Wang (1 shared paper)Ting Zhang (1 shared paper)Dong Chen (1 shared paper)Yuan Xie (1 shared paper)Zhijun Gong (1 shared paper)
- Journals
- The Visual Computer (2 papers)Applied Intelligence (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)IEEE Multimedia (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Junshu Tang
11 papers receiving 213 citations
Junshu Tang's Hit Papers
Peers
Comparison fields: 5 of 36
- Computer Graphics and Computer-Aided Design 91
- Geology 45
- Computer Vision and Pattern Recognition 134
- Computational Mechanics 109
- Environmental Engineering 18
Countries citing papers authored by Junshu Tang
This map shows the geographic impact of Junshu Tang'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 Junshu Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junshu Tang more than expected).
Fields of papers citing papers by Junshu Tang
This network shows the impact of papers produced by Junshu Tang. 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 Junshu Tang. The network helps show where Junshu Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junshu Tang, 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 | Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior Hit paper breakdown → | 2023 | 104 |
| 2 | 2022 | 52 | |
| 3 | 2023 | 14 | |
| 4 | 2021 | 12 | |
| 5 | 2021 | 10 | |
| 6 | 2021 | 9 | |
| 7 | 2023 | 5 | |
| 8 | 2021 | 4 | |
| 9 | 2025 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2025 | 0 |
About Junshu Tang
Junshu Tang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Control and Systems Engineering and Computer Networks and Communications, having authored 12 papers that have together received 214 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (5 papers), 3D Shape Modeling and Analysis (5 papers), Advanced Vision and Imaging (4 papers), Computer Graphics and Visualization Techniques (4 papers), Face recognition and analysis (3 papers), Human Motion and Animation (2 papers), Human Pose and Action Recognition (2 papers) and Advanced Image Processing Techniques (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (91 citations), Geology (45 citations), Computer Vision and Pattern Recognition (134 citations), Computational Mechanics (109 citations) and Environmental Engineering (18 citations). Junshu Tang has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Lizhuang Ma, Ran Yi, Bo Zhang, Tengfei Wang, Ting Zhang, Dong Chen, Yuan Xie, Zhijun Gong, Zhiwen Shao and Xin Tan. Their work appears in journals such as The Visual Computer, Applied Intelligence, IEEE Transactions on Visualization and Computer Graphics, IEEE Multimedia and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.