Ting-Chun Wang
Impact in
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- Generative Adversarial Networks and Image Synthesis
- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Image Enhancement Techniques
- Face recognition and analysis
- Digital Media Forensic Detection
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- Computer Graphics and Visualization Techniques
Papers in
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- Numerical methods for differential equations 33
- Differential Equations and Numerical Methods 16
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- Computer Graphics and Visualization Techniques 8
- Co-authors
- Ming-Yu LiuJun-Yan ZhuJan KautzAndrew TaoBryan CatanzaroTaesung ParkRavi RamamoorthiNima Khademi Kalantari
- Journals
- Applied Mathematics and Computation (6 papers)Applied Numerical Mathematics (5 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (5 papers)Journal of Computational and Applied Mathematics (4 papers)ACM Transactions on Graphics (3 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Ting-Chun Wang
75 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Computer Vision and Pattern Recognition 4.7k
- Computer Graphics and Computer-Aided Design 788
- Numerical Analysis 636
- Media Technology 609
- Modeling and Simulation 177
Countries citing papers authored by Ting-Chun Wang
This map shows the geographic impact of Ting-Chun 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 Ting-Chun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting-Chun Wang more than expected).
Fields of papers citing papers by Ting-Chun Wang
This network shows the impact of papers produced by Ting-Chun 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 Ting-Chun Wang. The network helps show where Ting-Chun Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ting-Chun 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 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 48 | |
| 5 | One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing Hit paper breakdown → | 2021 | 249 |
| 6 | 2021 | 9 | |
| 7 | 2020 | 22 | |
| 8 | 2018 | 12 | |
| 9 | 2017 | 10 | |
| 10 | 2014 | 20 | |
| 11 | 2014 | 2 | |
| 12 | 2013 | 1 | |
| 13 | 2013 | 47 | |
| 14 | 2013 | 3 | |
| 15 | 2013 | 52 | |
| 16 | [Effects of total flavonoids in Drynaria fortunei on osteoblasts differentiation and the expression of ERK1/2 and p38 MAPK after treatment by high glucose in vitro]. | 2012 | 2 |
| 17 | 2011 | 23 | |
| 18 | 2009 | 26 | |
| 19 | 2009 | 32 | |
| 20 | 2001 | 34 |
About Ting-Chun Wang
Ting-Chun Wang is a scholar working on Numerical Analysis, Computer Graphics and Computer-Aided Design, Mathematical Physics, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 77 papers that have together received 6.5k indexed citations. Recurring topics across this work include Numerical methods for differential equations (33 papers), Advanced Mathematical Physics Problems (17 papers), Differential Equations and Numerical Methods (16 papers), Advanced Vision and Imaging (16 papers), Electromagnetic Simulation and Numerical Methods (14 papers), Generative Adversarial Networks and Image Synthesis (9 papers), Computer Graphics and Visualization Techniques (8 papers) and Nonlinear Waves and Solitons (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.7k citations), Computer Graphics and Computer-Aided Design (788 citations), Numerical Analysis (636 citations), Media Technology (609 citations) and Modeling and Simulation (177 citations). Ting-Chun Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Ming-Yu Liu, Jun-Yan Zhu, Jan Kautz, Andrew Tao, Bryan Catanzaro, Taesung Park, Ravi Ramamoorthi, Nima Khademi Kalantari, Alexei A. Efros and Boling Guo. Their work appears in journals such as Applied Mathematics and Computation, Applied Numerical Mathematics, IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Computational and Applied Mathematics and ACM Transactions on Graphics.
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.