Chao Dong

186 total papers · 38.3k total citations
60 papers, 10.6k citations indexed

About

Chao Dong is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Chao Dong has authored 60 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 18 papers in Media Technology and 3 papers in Artificial Intelligence. Recurrent topics in Chao Dong's work include Advanced Image Processing Techniques (40 papers), Advanced Vision and Imaging (24 papers) and Image and Signal Denoising Methods (19 papers). Chao Dong is often cited by papers focused on Advanced Image Processing Techniques (40 papers), Advanced Vision and Imaging (24 papers) and Image and Signal Denoising Methods (19 papers). Chao Dong collaborates with scholars based in China, Hong Kong and Australia. Chao Dong's co-authors include Chen Change Loy, Xiaoou Tang, Kaiming He, Xintao Wang, Yu Qiao, Ying Shan, Liangbin Xie, Ke Yu, Kelvin C. K. Chan and Jinjin Gu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Journal of Colloid and Interface Science.

In The Last Decade

Chao Dong

55 papers receiving 10.3k citations

Hit Papers

Image Super-Resolution Us... 2015 2026 2018 2022 2015 2021 2019 2023 2018 2.0k 4.0k 6.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Image Super-Resolution Using Deep Convolutional Networks
    2015 6.3k citations Chao Dong, Chen Change Loy et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  2. Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
    2021 732 citations Xintao Wang, Liangbin Xie et al. profile →
  3. EDVR: Video Restoration With Enhanced Deformable Convolutional Networks
    2019 689 citations Xintao Wang, Kelvin C. K. Chan et al. profile →
  4. Activating More Pixels in Image Super-Resolution Transformer
    2023 515 citations Xiangyu Chen, Xintao Wang et al. profile →
  5. Unsupervised Image Super-Resolution Using Cycle-in-Cycle Generative Adversarial Networks
    2018 365 citations Yuan Yuan, Siyuan Liu et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chao Dong 8.9k 4.8k 593 553 442 60 10.6k
Zehan Wang 10.2k 1.1× 4.8k 1.0× 717 1.2× 845 1.5× 984 2.2× 48 12.6k
Alejandro Acosta 6.6k 0.7× 2.9k 0.6× 438 0.7× 535 1.0× 723 1.6× 34 8.2k
Yulun Zhang 6.6k 0.7× 3.6k 0.7× 584 1.0× 449 0.8× 919 2.1× 124 8.2k
Lucas Theis 6.9k 0.8× 2.7k 0.6× 436 0.7× 541 1.0× 856 1.9× 23 8.6k
Wenzhe Shi 11.0k 1.2× 4.9k 1.0× 906 1.5× 1.2k 2.2× 1.2k 2.6× 61 13.9k
Michal Irani 7.9k 0.9× 2.8k 0.6× 312 0.5× 325 0.6× 769 1.7× 49 8.7k
Yunjin Chen 5.3k 0.6× 2.8k 0.6× 1.1k 1.9× 1.0k 1.9× 544 1.2× 53 7.6k
Ferenc Huszár 9.9k 1.1× 4.6k 1.0× 648 1.1× 740 1.3× 1.2k 2.7× 18 12.2k
Shuhang Gu 5.8k 0.7× 3.1k 0.6× 602 1.0× 291 0.5× 400 0.9× 54 6.8k
B. Coll 7.8k 0.9× 4.2k 0.9× 1.1k 1.9× 1.1k 2.0× 485 1.1× 51 10.8k

Countries citing papers authored by Chao Dong

Since Specialization
Citations

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

Fields of papers citing papers by Chao Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Dong. A scholar is included among the top collaborators of Chao Dong 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 Chao Dong. Chao Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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