Oliver Wang

23.9k total citations · 5 hit papers
83 papers, 4.9k citations indexed

About

Oliver Wang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology. According to data from OpenAlex, Oliver Wang has authored 83 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Computer Vision and Pattern Recognition, 16 papers in Computer Graphics and Computer-Aided Design and 13 papers in Media Technology. Recurrent topics in Oliver Wang's work include Advanced Vision and Imaging (56 papers), Advanced Image Processing Techniques (21 papers) and Computer Graphics and Visualization Techniques (16 papers). Oliver Wang is often cited by papers focused on Advanced Vision and Imaging (56 papers), Advanced Image Processing Techniques (21 papers) and Computer Graphics and Visualization Techniques (16 papers). Oliver Wang collaborates with scholars based in United States, Switzerland and United Kingdom. Oliver Wang's co-authors include Richard Zhang, Alexei A. Efros, Zhe Lin, Eli Shechtman, Markus Groß, Alexander Sorkine‐Hornung, Simon Niklaus, Sheng-Yu Wang, Andrew Owens and Federico Perazzi and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Oliver Wang

80 papers receiving 4.7k citations

Hit Papers

CNN-Generated Images Are Surprisingly Easy to Spot… for Now 2017 2026 2020 2023 2020 2017 2021 2017 2024 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oliver Wang United States 34 4.2k 811 709 461 358 83 4.9k
Yung‐Yu Chuang Taiwan 32 4.2k 1.0× 774 1.0× 590 0.8× 457 1.0× 325 0.9× 103 4.7k
Qifeng Chen Hong Kong 35 4.2k 1.0× 930 1.1× 452 0.6× 490 1.1× 306 0.9× 115 5.2k
Ce Liu United States 36 5.6k 1.3× 1.4k 1.8× 518 0.7× 741 1.6× 475 1.3× 76 6.5k
Kristin Dana United States 30 2.8k 0.7× 452 0.6× 846 1.2× 533 1.2× 555 1.6× 76 4.5k
Jingyi Yu China 37 4.4k 1.0× 817 1.0× 1.1k 1.5× 306 0.7× 826 2.3× 219 5.3k
Aseem Agarwala United States 35 5.2k 1.2× 1.4k 1.7× 812 1.1× 186 0.4× 364 1.0× 63 5.8k
Erik Reinhard United States 29 6.2k 1.5× 1.6k 2.0× 1.3k 1.8× 570 1.2× 285 0.8× 108 7.4k
Chi–Keung Tang Hong Kong 44 6.1k 1.4× 1.1k 1.4× 1.0k 1.5× 588 1.3× 693 1.9× 122 7.0k
Tien‐Tsin Wong Hong Kong 38 3.4k 0.8× 361 0.4× 1.3k 1.9× 261 0.6× 818 2.3× 193 4.6k
Elmar Eisemann Netherlands 35 2.8k 0.7× 674 0.8× 1.6k 2.3× 269 0.6× 741 2.1× 186 4.3k

Countries citing papers authored by Oliver Wang

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Oliver Wang. A scholar is included among the top collaborators of Oliver Wang 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 Oliver Wang. Oliver Wang 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.
Herrmann, Charles, Junhwa Hur, Forrester Cole, et al.. (2025). Motion Prompting: Controlling Video Generation with Motion Trajectories. 1–12. 1 indexed citations
2.
Heilbron, Fabian Caba, et al.. (2024). VideoMap: Supporting Video Exploration, Brainstorming, and Prototyping in the Latent Space. Creativity and Cognition. 311–327.
3.
Heilbron, Fabian Caba, et al.. (2024). Videogenic: Identifying Highlight Moments in Videos with Professional Photographs as a Prior. Creativity and Cognition. 328–346. 1 indexed citations
4.
Zimmeck, Sebastian, et al.. (2023). Usability and Enforceability of Global Privacy Control. Proceedings on Privacy Enhancing Technologies. 2023(2). 265–281. 10 indexed citations
5.
Nguyen, Cuong, et al.. (2023). VideoDoodles: Hand-Drawn Animations on Videos with Scene-Aware Canvases. ACM Transactions on Graphics. 42(4). 1–12. 3 indexed citations
6.
Park, Taesung, Jun-Yan Zhu, Oliver Wang, et al.. (2020). Swapping Autoencoder for Deep Image Manipulation. Neural Information Processing Systems. 33. 7198–7211. 13 indexed citations
7.
Hendricks, Lisa Anne, Oliver Wang, Eli Shechtman, et al.. (2018). Localizing Moments in Video with Temporal Language. arXiv (Cornell University). 1380–1390. 71 indexed citations
8.
Kim, Byungsoo, Oliver Wang, A. Cengiz Öztireli, & Markus Groß. (2018). Semantic Segmentation for Line Drawing Vectorization Using Neural Networks. Computer Graphics Forum. 37(2). 329–338. 40 indexed citations
9.
Zhu, Jun, Richard Zhang, Deepak Pathak, et al.. (2017). Toward Multimodal Image-to-Image Translation. arXiv (Cornell University). 30. 465–476. 203 indexed citations
10.
Su, Shuochen, Mauricio Delbracio, Jue Wang, et al.. (2017). Deep Video Deblurring for Hand-Held Cameras. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 237–246. 343 indexed citations breakdown →
11.
Zhu, Jun-Yan, Richard Zhang, Deepak Pathak, et al.. (2017). Multimodal Image-to-Image Translation by Enforcing Bi-Cycle Consistency. Neural Information Processing Systems. 465–476. 20 indexed citations
12.
Cui, Zhaopeng, Oliver Wang, Ping Tan, & Jue Wang. (2017). Time slice video synthesis by robust video alignment. ACM Transactions on Graphics. 36(4). 1–10. 9 indexed citations
13.
Miller, Clint L., Milos Pjanic, Ting Wang, et al.. (2016). Integrative functional genomics identifies regulatory mechanisms at coronary artery disease loci. Nature Communications. 7(1). 12092–12092. 83 indexed citations
14.
Zhang, Chenxi, Jizhou Gao, Oliver Wang, et al.. (2013). Personal Photograph Enhancement Using Internet Photo Collections. IEEE Transactions on Visualization and Computer Graphics. 20(2). 262–275. 23 indexed citations
15.
Lang, Manuel, Oliver Wang, Tunç Ozan Aydın, Aljoša Smolić, & Markus Groß. (2012). Practical temporal consistency for image-based graphics applications. ACM Transactions on Graphics. 31(4). 1–8. 93 indexed citations
16.
Wang, Oliver, et al.. (2011). 2D to 3D conversion of sports content using panoramas. 31. 1961–1964. 11 indexed citations
17.
Lang, Manuel, Andreas Hornung, Oliver Wang, et al.. (2010). Nonlinear disparity mapping for stereoscopic 3D. ACM Transactions on Graphics. 29(4). 1–1. 9 indexed citations
18.
Fuchs, Martin, Tongbo Chen, Oliver Wang, et al.. (2009). A Shaped Temporal Filter Camera.. Max Planck Institute for Plasma Physics. 177–186. 1 indexed citations
19.
Wang, Oliver, et al.. (2009). Optimized image sampling for view and light interpolation. 93–100. 10 indexed citations
20.
Pintus, Ruggero, et al.. (2009). PHOTO REPAIR AND 3D STRUCTURE FROM FLATBED SCANNERS. 40–50. 7 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.

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