Zhoutong Zhang
-
- Computer Graphics and Visualization Techniques 3
-
- Advanced Vision and Imaging 7
- Generative Adversarial Networks and Image Synthesis 2
- Advanced Image Processing Techniques 2
- Music Technology and Sound Studies 2
- Computational Mechanics top 10%
- 3D Shape Modeling and Analysis 3
-
- Speech and Audio Processing 3
- Music and Audio Processing 3
- Co-authors
- Yebin LiuQionghai DaiJiajun WuJosh TenenbaumBill FreemanChengkai ZhangAntonio TorralbaJun-Yan Zhu
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- ACM Transactions on Graphics (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2 papers)ArXiv.org (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Zhoutong Zhang
10 papers receiving 218 citations
Peers
Comparison fields: 5 of 36
- Computer Graphics and Computer-Aided Design 70
- Computer Vision and Pattern Recognition 207
- Computational Mechanics 71
- Media Technology 20
- Signal Processing 23
Countries citing papers authored by Zhoutong Zhang
This map shows the geographic impact of Zhoutong Zhang'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 Zhoutong Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhoutong Zhang more than expected).
Fields of papers citing papers by Zhoutong Zhang
This network shows the impact of papers produced by Zhoutong Zhang. 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 Zhoutong Zhang. The network helps show where Zhoutong Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhoutong Zhang, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2021 | 8 | |
| 5 | 2021 | 30 | |
| 6 | 2021 | 1 | |
| 7 | Deep Audio Priors Emerge From Harmonic Convolutional Networks | 2020 | 11 |
| 8 | Visual Object Networks: Image Generation with Disentangled 3D Representations | 2018 | 66 |
| 9 | Learning to Reconstruct Shapes from Unseen Classes | 2018 | 17 |
| 10 | Shape and material from sound | 2017 | 12 |
| 11 | 2017 | 13 | |
| 12 | 2015 | 70 |
About Zhoutong Zhang
Zhoutong Zhang is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 12 papers that have together received 231 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (7 papers), Speech and Audio Processing (3 papers), Music and Audio Processing (3 papers), Computer Graphics and Visualization Techniques (3 papers), 3D Shape Modeling and Analysis (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Image Processing Techniques (2 papers) and Music Technology and Sound Studies (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (70 citations), Computer Vision and Pattern Recognition (207 citations) and Computational Mechanics (71 citations). Zhoutong Zhang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yebin Liu, Qionghai Dai, Jiajun Wu, Josh Tenenbaum, Bill Freeman, Chengkai Zhang, Antonio Torralba, Jun-Yan Zhu, Forrester Cole and Daniel Vlasic. Their work appears in journals such as ACM Transactions on Graphics, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and ArXiv.org.
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.