Chao Dong

38.6k total citations · 6 hit papers
61 papers, 10.8k 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 61 papers receiving a total of 10.8k indexed citations (citations by other indexed papers that have themselves been cited), including 47 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 (41 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 (41 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 10.5k citations

Hit Papers

5 papers align trajectories

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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Image Super-Resolution Using Deep Convolutional Networks

2015 6.4k citations Chao Dong, Chen Change Loy et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data

2021 760 citations Xintao Wang, Liangbin Xie et al. profile →
EDVR: Video Restoration With Enhanced Deformable Convolutional Networks

2019 706 citations Xintao Wang, Kelvin C. K. Chan et al. profile →
Activating More Pixels in Image Super-Resolution Transformer

2023 540 citations Xiangyu Chen, Xintao Wang et al. profile →
Unsupervised Image Super-Resolution Using Cycle-in-Cycle Generative Adversarial Networks

2018 369 citations Chao Dong et al. profile →
Interpreting Super-Resolution Networks with Local Attribution Maps

2021 193 citations Jinjin Gu, Chao Dong profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chao Dong China	25	9.1k	4.9k	603	568	453	61	10.8k
Johannes Totz United Kingdom	9	10.4k 1.1×	4.8k 1.0×	730 1.2×	769 1.4×	925 2.0×	12	12.5k
Zehan Wang China	12	10.4k 1.1×	4.8k 1.0×	725 1.2×	857 1.5×	996 2.2×	49	12.8k
Andrew P. Aitken United Kingdom	9	10.2k 1.1×	4.8k 1.0×	680 1.1×	902 1.6×	924 2.0×	11	12.6k
Ferenc Huszár United Kingdom	12	10.0k 1.1×	4.7k 0.9×	656 1.1×	752 1.3×	1.2k 2.6×	18	12.4k
Alejandro Acosta Spain	11	6.7k 0.7×	2.9k 0.6×	444 0.7×	543 1.0×	733 1.6×	34	8.3k
Alykhan Tejani United States	8	6.4k 0.7×	2.7k 0.5×	457 0.8×	525 0.9×	749 1.7×	11	7.9k
Lucas Theis United States	15	7.0k 0.8×	2.7k 0.6×	442 0.7×	549 1.0×	867 1.9×	23	8.7k
Yulun Zhang China	38	6.8k 0.7×	3.7k 0.7×	597 1.0×	466 0.8×	933 2.1×	125	8.4k
Xinghao Ding China	46	7.7k 0.8×	3.8k 0.8×	563 0.9×	697 1.2×	1.3k 2.9×	205	9.4k
Kyoung Mu Lee South Korea	43	11.3k 1.2×	4.3k 0.9×	545 0.9×	568 1.0×	871 1.9×	194	12.7k

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

You, Zhiyuan, et al.. (2025). Enhancing Descriptive Image Quality Assessment With a Large-Scale Multi-Modal Dataset. IEEE Transactions on Image Processing. 34. 8201–8215.

Hu, Jinfan, Jinjin Gu, Zheyuan Li, et al.. (2025). Interpreting Low-Level Vision Models With Causal Effect Maps. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(8). 6396–6409. 1 indexed citations

You, Zhiyuan, et al.. (2025). Teaching Large Language Models to Regress Accurate Image Quality Scores Using Score Distribution. 14483–14494. 5 indexed citations

Bai, Yunpeng, et al.. (2025). TextIR: A Simple Framework for Text-Based Editable Image Restoration. IEEE Transactions on Visualization and Computer Graphics. 31(10). 7549–7564. 1 indexed citations

Chen, Xiangyu, Yihao Liu, Wenlong Zhang, et al.. (2024). Learning A Low-Level Vision Generalist via Visual Task Prompt. 2671–2680. 2 indexed citations

Zhou, Xuguang, Cheng Chen, Chao Dong, et al.. (2024). Multimodal separation and cross fusion network based on Raman spectroscopy and FTIR spectroscopy for diagnosis of thyroid malignant tumor metastasis. Scientific Reports. 14(1). 29125–29125. 4 indexed citations

Gu, Jinjin, Zheyuan Li, Jinfan Hu, et al.. (2024). Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild. 25669–25680. 39 indexed citations

Xie, Liangbin, Xintao Wang, Ziyang Yuan, et al.. (2024). SmartEdit: Exploring Complex Instruction-Based Image Editing with Multimodal Large Language Models. 8362–8371. 12 indexed citations

Kong, Xiangtao, et al.. (2022). Reflash Dropout in Image Super-Resolution. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5992–6002. 44 indexed citations

10.

Zhang, Wenlong, Guangyuan Shi, Yihao Liu, Chao Dong, & Xiao-Ming Wu. (2022). A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 526–535. 19 indexed citations

11.

Wu, Shixiang, Chao Dong, & Yu Qiao. (2022). Blind Image Restoration Based on Cycle-Consistent Network. IEEE Transactions on Multimedia. 25. 1111–1124. 22 indexed citations

12.

Zhang, Wei, et al.. (2021). Attentive Representation Learning With Adversarial Training for Short Text Clustering. IEEE Transactions on Knowledge and Data Engineering. 34(11). 5196–5210. 14 indexed citations

13.

Zhang, Wenlong, Yihao Liu, Chao Dong, & Yu Qiao. (2021). RankSRGAN: Super Resolution Generative Adversarial Networks With Learning to Rank. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(10). 7149–7166. 36 indexed citations

14.

Chan, Kelvin C. K., Xintao Wang, Ke Yu, Chao Dong, & Chen Change Loy. (2021). Understanding Deformable Alignment in Video Super-Resolution. Proceedings of the AAAI Conference on Artificial Intelligence. 35(2). 973–981. 107 indexed citations

15.

Qian, Guocheng, et al.. (2019). Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution.. arXiv (Cornell University). 17 indexed citations

16.

He, Jingwen, Chao Dong, & Yu Qiao. (2019). Modulating Image Restoration With Continual Levels via Adaptive Feature Modification Layers. 11048–11056. 62 indexed citations

17.

Wang, Xintao, Kelvin C. K. Chan, Ke Yu, Chao Dong, & Chen Change Loy. (2019). EDVR: Video Restoration With Enhanced Deformable Convolutional Networks. 1954–1963. 706 indexed citations breakdown →

18.

Dong, Chao, et al.. (2018). Inferring event geolocation based on Twitter. 1–5. 1 indexed citations

19.

Dong, Chao, Chen Change Loy, Kaiming He, & Xiaoou Tang. (2015). Image Super-Resolution Using Deep Convolutional Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(2). 295–307. 6399 indexed citations breakdown →

20.

Wu, Xiaowei, et al.. (2005). Study on degradation of methamidophos by Pseudomonas sp. S-2. Biotechnology(Faisalabad). 15(1). 77–79. 4 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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