Chongyi Li

16.3k total citations · 24 hit papers
126 papers, 10.2k citations indexed

About

Chongyi Li is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Chongyi Li has authored 126 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Computer Vision and Pattern Recognition, 39 papers in Media Technology and 9 papers in Artificial Intelligence. Recurrent topics in Chongyi Li's work include Image Enhancement Techniques (66 papers), Advanced Image Processing Techniques (54 papers) and Advanced Image Fusion Techniques (31 papers). Chongyi Li is often cited by papers focused on Image Enhancement Techniques (66 papers), Advanced Image Processing Techniques (54 papers) and Advanced Image Fusion Techniques (31 papers). Chongyi Li collaborates with scholars based in China, Singapore and Hong Kong. Chongyi Li's co-authors include Runmin Cong, Chunle Guo, Jichang Guo, Fatih Porikli, Saeed Anwar, Peixian Zhuang, Sam Kwong, Weidong Zhang, Yanwei Pang and Chen Change Loy and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

Chongyi Li

120 papers receiving 9.9k citations

Hit Papers

Zero-Reference Deep Curve Estimation for Low-Light I... 2016 2026 2019 2022 2020 2019 2016 2022 2021 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chongyi Li China 44 9.1k 3.9k 448 419 417 126 10.2k
Xin Fan China 43 5.5k 0.6× 3.0k 0.8× 232 0.5× 804 1.9× 122 0.3× 298 7.7k
Risheng Liu China 38 5.9k 0.6× 3.2k 0.8× 209 0.5× 744 1.8× 126 0.3× 204 7.3k
Runmin Cong China 38 6.1k 0.7× 2.2k 0.6× 124 0.3× 479 1.1× 141 0.3× 109 6.8k
Wenqi Ren China 46 7.0k 0.8× 3.2k 0.8× 86 0.2× 224 0.5× 143 0.3× 161 7.8k
Qiuping Jiang China 34 3.3k 0.4× 1.4k 0.4× 136 0.3× 221 0.5× 159 0.4× 211 4.4k
Zhongxuan Luo China 31 3.3k 0.4× 1.8k 0.5× 118 0.3× 504 1.2× 85 0.2× 186 4.8k
Srinivasa G. Narasimhan United States 42 7.1k 0.8× 3.3k 0.9× 48 0.1× 428 1.0× 470 1.1× 139 8.5k
Xueyang Fu China 39 6.7k 0.7× 3.7k 0.9× 56 0.1× 178 0.4× 259 0.6× 116 7.5k
Zhenwei Shi China 47 4.8k 0.5× 5.3k 1.4× 147 0.3× 1.2k 2.9× 47 0.1× 271 9.8k
Lu Yuan China 49 8.4k 0.9× 1.9k 0.5× 53 0.1× 697 1.7× 151 0.4× 107 10.4k

Countries citing papers authored by Chongyi Li

Since Specialization
Citations

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

Fields of papers citing papers by Chongyi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chongyi Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chongyi Li. A scholar is included among the top collaborators of Chongyi Li 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 Chongyi Li. Chongyi Li 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.
Guo, Jichang, et al.. (2025). Data-driven gradient priors integrated into blind image deblurring. Signal Processing Image Communication. 135. 117275–117275. 1 indexed citations
2.
Chen, Long, Junyu Dong, Qi Xu, et al.. (2025). Underwater Optical Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future. ACM Computing Surveys. 58(3). 1–34. 1 indexed citations
3.
Jiang, Qiuping, et al.. (2025). Deep Underwater Image Quality Assessment With Explicit Degradation Awareness Embedding. IEEE Transactions on Image Processing. 34. 1297–1310. 10 indexed citations
4.
Wang, Ruiyao, et al.. (2025). Injectable, conductive MXene@Mg2+ hydrogel with photothermal antibacterial and angiogenic properties for bacteria-infected wound healing. Chemical Engineering Journal. 514. 163472–163472. 6 indexed citations
5.
Anwar, Saeed, Muhammad Tahir, Chongyi Li, et al.. (2024). Image colorization: A survey and dataset. Information Fusion. 114. 102720–102720. 9 indexed citations
6.
Li, Chongyi, et al.. (2024). Flare7K++: Mixing Synthetic and Real Datasets for Nighttime Flare Removal and Beyond. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(11). 7041–7055. 8 indexed citations
7.
Zhou, Jingchun, Kin‐Man Lam, Yudong Wang, et al.. (2024). AMSP-UOD: When Vortex Convolution and Stochastic Perturbation Meet Underwater Object Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 38(7). 7659–7667. 20 indexed citations
8.
Liu, Qiao, et al.. (2024). Generalizing ISP Model by Unsupervised Raw-to-raw Mapping. 3809–3817.
9.
Wu, Yuhui, Guoqing Wang, Yang Yang, et al.. (2024). Towards a Flexible Semantic Guided Model for Single Image Enhancement and Restoration. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 9921–9939. 7 indexed citations
10.
Zhou, Man, Jie Huang, Keyu Yan, et al.. (2024). A General Spatial-Frequency Learning Framework for Multimodal Image Fusion. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(7). 5281–5298. 57 indexed citations breakdown →
11.
Guo, Chunle, et al.. (2023). BeautyREC: Robust, Efficient, and Component-Specific Makeup Transfer. 1102–1110. 11 indexed citations
12.
Zhou, Man, Jie Huang, Danfeng Hong, et al.. (2023). Rethinking Pan-Sharpening in Closed-Loop Regularization. IEEE Transactions on Neural Networks and Learning Systems. 35(10). 14544–14558. 22 indexed citations
13.
Jiang, Qiuping, et al.. (2023). Perception-Driven Deep Underwater Image Enhancement Without Paired Supervision. IEEE Transactions on Multimedia. 26. 4884–4897. 65 indexed citations
14.
Cong, Runmin, Wei Zhang, Chongyi Li, et al.. (2023). PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN With Dual-Discriminators. IEEE Transactions on Image Processing. 32. 4472–4485. 162 indexed citations breakdown →
15.
Cong, Runmin, Ning Yang, Chongyi Li, et al.. (2022). Global-and-Local Collaborative Learning for Co-Salient Object Detection. IEEE Transactions on Cybernetics. 53(3). 1920–1931. 75 indexed citations
16.
Li, Chongyi, et al.. (2022). An Optimized Algorithm for Dangerous Driving Behavior Identification Based on Unbalanced Data. Electronics. 11(10). 1557–1557. 8 indexed citations
17.
Jiang, Qiuping, et al.. (2022). A Perception-Aware Decomposition and Fusion Framework for Underwater Image Enhancement. IEEE Transactions on Circuits and Systems for Video Technology. 33(3). 988–1002. 167 indexed citations breakdown →
18.
Luo, Jun, Wenqi Ren, Tao Wang, Chongyi Li, & Xiaochun Cao. (2022). Under-Display Camera Image Enhancement via Cascaded Curve Estimation. IEEE Transactions on Image Processing. 31. 4856–4868. 10 indexed citations
19.
Zhang, Qijian, Runmin Cong, Chongyi Li, et al.. (2020). Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images. IEEE Transactions on Image Processing. 30. 1305–1317. 231 indexed citations breakdown →
20.
Li, Chongyi. (2013). Further Study of Yunnan Drought during the 2009/2010 Winter:Numerical Simulation of Impact of Antecedent Soil Moisture. Climatic and Environmental Research. 2 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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