Wayne Wu

4.8k total citations · 4 hit papers
41 papers, 1.8k citations indexed

About

Wayne Wu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Control and Systems Engineering. According to data from OpenAlex, Wayne Wu has authored 41 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 9 papers in Computational Mechanics and 7 papers in Control and Systems Engineering. Recurrent topics in Wayne Wu's work include Generative Adversarial Networks and Image Synthesis (20 papers), Face recognition and analysis (12 papers) and Human Pose and Action Recognition (11 papers). Wayne Wu is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (20 papers), Face recognition and analysis (12 papers) and Human Pose and Action Recognition (11 papers). Wayne Wu collaborates with scholars based in China, Singapore and Hong Kong. Wayne Wu's co-authors include Chen Change Loy, Liming Jiang, Chen Qian, Hang Zhou, Li Ren, Ziwei Liu, Bo Dai, Xiaogang Wang, Yasheng Sun and Feng Xu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and International Journal of Computer Vision.

In The Last Decade

Wayne Wu

40 papers receiving 1.7k citations

Hit Papers

DeeperForensics-1.0: A Large-Scale Dataset for Real-World... 2020 2026 2022 2024 2020 2021 2021 2023 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wayne Wu China 20 1.5k 352 314 218 139 41 1.8k
Bo Dai China 21 1.7k 1.1× 162 0.5× 768 2.4× 151 0.7× 186 1.3× 55 2.2k
Supasorn Suwajanakorn Thailand 10 1.1k 0.7× 282 0.8× 192 0.6× 142 0.7× 100 0.7× 22 1.3k
Sergey Tulyakov United States 23 1.2k 0.8× 361 1.0× 245 0.8× 89 0.4× 282 2.0× 90 1.9k
Yandong Wen China 12 2.1k 1.3× 949 2.7× 720 2.3× 105 0.5× 114 0.8× 32 2.6k
Loong‐Fah Cheong Singapore 25 1.9k 1.2× 133 0.4× 315 1.0× 37 0.2× 107 0.8× 66 2.1k
Josep R. Casas Spain 16 642 0.4× 149 0.4× 139 0.4× 77 0.4× 92 0.7× 94 963
Amit H. Bermano Israel 19 1.2k 0.8× 89 0.3× 174 0.6× 98 0.4× 269 1.9× 54 1.6k
Yu Xiang United States 18 1.3k 0.8× 337 1.0× 493 1.6× 41 0.2× 57 0.4× 58 1.7k
Sami Romdhani Switzerland 12 1.8k 1.2× 290 0.8× 97 0.3× 93 0.4× 700 5.0× 20 2.1k
Vinay P. Namboodiri India 15 864 0.6× 338 1.0× 483 1.5× 83 0.4× 31 0.2× 93 1.3k

Countries citing papers authored by Wayne Wu

Since Specialization
Citations

This map shows the geographic impact of Wayne Wu'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 Wayne Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne Wu more than expected).

Fields of papers citing papers by Wayne Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wayne Wu. 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 Wayne Wu. The network helps show where Wayne Wu may publish in the future.

Co-authorship network of co-authors of Wayne Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Wayne Wu. A scholar is included among the top collaborators of Wayne Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wayne Wu. Wayne Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Xie, Ziyang, et al.. (2025). Vid2Sim: Realistic and Interactive Simulation from Video for Urban Navigation. 1581–1591. 1 indexed citations
2.
Jiang, Liming, et al.. (2024). PaintHuman: Towards High-Fidelity Text-to-3D Human Texturing via Denoised Score Distillation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(7). 6800–6807.
3.
Wang, Guangcong, et al.. (2024). Fast-Vid2Vid++: Spatial-Temporal Distillation for Real-Time Video-to-Video Synthesis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 10732–10747. 1 indexed citations
4.
Lin, Jintao, Zhaoyang Liu, Wenhai Wang, Wayne Wu, & Limin Wang. (2024). VLG: General Video Recognition with Web Textual Knowledge. International Journal of Computer Vision. 132(10). 4792–4817. 1 indexed citations
5.
Jiang, Yuming, et al.. (2023). UnitedHuman: Harnessing Multi-Source Data for High-Resolution Human Generation. 7267–7277. 6 indexed citations
6.
Zhu, Hao, et al.. (2023). CelebV-Text: A Large-Scale Facial Text-Video Dataset. 14805–14814. 19 indexed citations
7.
Wu, Tong, Jiarui Zhang, Xiao Fu, et al.. (2023). OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 803–814. 61 indexed citations
8.
Wang, Yuxin, Wayne Wu, & Dan Xu. (2023). Learning Unified Decompositional and Compositional NeRF for Editable Novel View Synthesis. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 18201–18210. 2 indexed citations
9.
Cheng, Wei, Keyu Chen, Zhongang Cai, et al.. (2023). DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-centric Rendering. The HKU Scholars Hub (University of Hong Kong). 19925–19936. 25 indexed citations
10.
Jiang, Liming, et al.. (2022). TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 7673–7682. 35 indexed citations
11.
Song, Linsen, Wayne Wu, Chaoyou Fu, Chen Change Loy, & Ran He. (2022). Audio-Driven Dubbing for User Generated Contents via Style-Aware Semi-Parametric Synthesis. IEEE Transactions on Circuits and Systems for Video Technology. 33(3). 1247–1261. 8 indexed citations
12.
Song, Linsen, Wayne Wu, Chen Qian, Ran He, & Chen Change Loy. (2022). Everybody’s Talkin’: Let Me Talk as You Want. IEEE Transactions on Information Forensics and Security. 17. 585–598. 66 indexed citations
13.
Liu, Xian, Qianyi Wu, Hang Zhou, et al.. (2022). Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 10452–10462. 71 indexed citations
14.
Zhou, Hang, Kaisiyuan Wang, Qianyi Wu, et al.. (2022). EAMM: One-Shot Emotional Talking Face via Audio-Based Emotion-Aware Motion Model. 1–10. 81 indexed citations
15.
Song, Linsen, Wayne Wu, Chaoyou Fu, et al.. (2021). Pareidolia Face Reenactment. 2236–2245. 9 indexed citations
16.
Jiang, Liming, Bo Dai, Wayne Wu, & Chen Change Loy. (2021). Focal Frequency Loss for Image Reconstruction and Synthesis. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 13899–13909. 205 indexed citations breakdown →
17.
Liu, Zhaoyang, Limin Wang, Wayne Wu, Chen Qian, & Tong Lü. (2021). TAM: Temporal Adaptive Module for Video Recognition. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 13688–13698. 19 indexed citations
18.
Jiang, Liming, Bo Dai, Wayne Wu, & Chen Change Loy. (2020). Focal Frequency Loss for Generative Models. arXiv (Cornell University). 8 indexed citations
19.
Jiang, Liming, Li Ren, Wayne Wu, Chen Qian, & Chen Change Loy. (2020). DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection. 2886–2895. 334 indexed citations breakdown →
20.
Zhang, Zhe, et al.. (2018). Myocardial reperfusion with tirofiban injection via aspiration catheter. Herz. 45(3). 280–287. 8 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026