Gene Cheung

5.1k total citations
259 papers, 3.5k citations indexed

About

Gene Cheung is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Gene Cheung has authored 259 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 178 papers in Computer Vision and Pattern Recognition, 97 papers in Signal Processing and 59 papers in Computer Networks and Communications. Recurrent topics in Gene Cheung's work include Video Coding and Compression Technologies (95 papers), Advanced Vision and Imaging (83 papers) and Image and Video Quality Assessment (55 papers). Gene Cheung is often cited by papers focused on Video Coding and Compression Technologies (95 papers), Advanced Vision and Imaging (83 papers) and Image and Video Quality Assessment (55 papers). Gene Cheung collaborates with scholars based in Japan, United States and Canada. Gene Cheung's co-authors include Antonio Ortega, Wei Hu, Jiahao Pang, Oscar C. Au, Cheng Yang, Ivan V. Bajić, Yusheng Ji, Ngai‐Man Cheung, Chinthaka Dinesh and Chen‐Nee Chuah and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Gene Cheung

247 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gene Cheung Japan 31 2.2k 1.1k 665 640 489 259 3.5k
Matthew Brand United States 29 2.9k 1.3× 666 0.6× 1.1k 1.6× 144 0.2× 523 1.1× 76 4.3k
Oscar C. Au Hong Kong 32 4.1k 1.8× 1.6k 1.5× 406 0.6× 177 0.3× 264 0.5× 371 4.6k
M.G. Strintzis Greece 37 3.4k 1.6× 984 0.9× 490 0.7× 230 0.4× 320 0.7× 278 4.6k
Thrasyvoulos N. Pappas United States 28 2.0k 0.9× 547 0.5× 279 0.4× 420 0.7× 104 0.2× 154 3.2k
Ming–Ting Sun United States 35 3.2k 1.5× 2.1k 2.0× 520 0.8× 249 0.4× 99 0.2× 185 4.1k
Raouf Hamzaoui United Kingdom 22 1.1k 0.5× 483 0.5× 346 0.5× 431 0.7× 207 0.4× 110 1.7k
Anthony Vetro United States 35 4.4k 2.0× 3.1k 2.9× 193 0.3× 433 0.7× 521 1.1× 204 5.1k
J.W. Modestino United States 28 1.4k 0.6× 738 0.7× 531 0.8× 771 1.2× 169 0.3× 125 3.1k
A. Buzo Mexico 9 4.2k 1.9× 2.5k 2.3× 1.9k 2.8× 390 0.6× 337 0.7× 16 5.9k
A.G. Constantinides United Kingdom 28 1.1k 0.5× 1.6k 1.5× 674 1.0× 675 1.1× 1.1k 2.2× 246 4.1k

Countries citing papers authored by Gene Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Gene Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gene Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of Gene Cheung. A scholar is included among the top collaborators of Gene Cheung 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 Gene Cheung. Gene Cheung 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.
Cheung, Gene, et al.. (2025). Unrolling Plug-and-Play Gradient Graph Laplacian Regularizer for Image Restoration. IEEE Transactions on Image Processing. 35. 1817–1831.
2.
Cheung, Gene, et al.. (2024). Spectral Graph Learning With Core Eigenvectors Prior via Iterative GLASSO and Projection. IEEE Transactions on Signal Processing. 72. 3958–3972. 2 indexed citations
3.
Zeng, Jin, Yang Liu, Gene Cheung, & Wei Hu. (2023). Sparse Graph Learning with Spectrum Prior for Deep Graph Convolutional Networks. 9. 1–5. 3 indexed citations
4.
Cheung, Gene, et al.. (2023). Retinex-based Image Denoising / Contrast Enhancement Using Gradient Graph Laplacian Regularizer. 2710–2714. 1 indexed citations
5.
Dinesh, Chinthaka, et al.. (2023). Complex Graph Laplacian Regularizer for Inferencing Grid States. 2 indexed citations
6.
Cheung, Gene, et al.. (2022). Hybrid Model-Based / Data-Driven Graph Transform for Image Coding. 2022 IEEE International Conference on Image Processing (ICIP). 9. 3667–3671. 2 indexed citations
7.
Zheng, Amin, Gene Cheung, & Dinei Florêncio. (2018). Joint Denoising/Compression of Image Contours via Shape Prior and Context Tree. IEEE Transactions on Image Processing. 27(7). 3332–3344. 2 indexed citations
8.
Zeng, Jin, Jiahao Pang, Wenxiu Sun, Gene Cheung, & Ruichao Xiao. (2018). Deep Graph Laplacian Regularization. arXiv (Cornell University). 2 indexed citations
9.
Cheung, Gene, et al.. (2018). Graph Learning & Fast Transform Coding of 3D River Data. 1313–1317. 3 indexed citations
10.
Yuan, Yuan, Gene Cheung, Patrick Le Callet, Pascal Frossard, & Hang Zhao. (2017). Object Shape Approximation and Contour Adaptive Depth Image Coding for Virtual View Synthesis. IEEE Transactions on Circuits and Systems for Video Technology. 28(12). 3437–3451. 14 indexed citations
11.
Dinesh, Chinthaka, Ivan V. Bajić, & Gene Cheung. (2017). Exemplar-based framework for 3D point cloud hole filling. 1–4. 17 indexed citations
12.
Zheng, Amin, Gene Cheung, & Dinei Florêncio. (2016). Context Tree-Based Image Contour Coding Using a Geometric Prior. IEEE Transactions on Image Processing. 26(2). 574–589. 8 indexed citations
13.
Hu, Bo, H. Vicky Zhao, & Gene Cheung. (2014). Incentive analysis for cooperative interactive multiview video streaming. Signal Processing Image Communication. 29(6). 641–666. 1 indexed citations
14.
Zhang, Bo, et al.. (2012). Coding and Caching Co-Design for Interactive Multiview Video Streaming. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3 indexed citations
15.
Cheung, Gene, Antonio Ortega, & Ngai‐Man Cheung. (2010). Interactive Streaming of Stored Multiview Video Using Redundant Frame Structures. IEEE Transactions on Image Processing. 20(3). 744–761. 79 indexed citations
16.
Cheung, Gene, Antonio Ortega, & Ngai‐Man Cheung. (2009). Bandwidth-Efficient Interactive Multiview Live Video Streaming using Redundant Frame Structures. Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University). 498–501. 5 indexed citations
17.
Cheung, Gene, et al.. (2006). Optimizing SP-frames for error resilience in video streaming. 1 indexed citations
18.
Cheung, Gene, et al.. (2006). On the Complexity of Variants of Cooperative Peer-to-peer Repair for Wireless Broadcasting. 2 indexed citations
19.
Cheung, Gene, et al.. (2006). On the complexity of cooperative peer-to-peer repair for wireless broadcasting. IEEE Communications Letters. 10(11). 742–744. 7 indexed citations
20.
Cheung, Gene, et al.. (2004). Reference frame optimization for multipath video streaming using complexity scaling. 3 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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