Chongyi Li
- Computer Vision and Pattern Recognition top 0.05%
- Image Enhancement Techniques 66
- Advanced Image Processing Techniques 54
- Advanced Vision and Imaging 25
- Image and Signal Denoising Methods 15
- Advanced Neural Network Applications 15
- Visual Attention and Saliency Detection 14
- Advanced Image and Video Retrieval Techniques 10
- Media Technology top 0.02%
- Advanced Image Fusion Techniques 31
- Acoustics and Ultrasonics top 5%
- Instrumentation top 5%
- Oceanography top 2%
- Co-authors
- Runmin CongChunle GuoJichang GuoFatih PorikliSaeed AnwarPeixian ZhuangSam KwongWeidong Zhang
In The Last Decade
Chongyi Li
120 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Computer Vision and Pattern Recognition 9.1k
- Media Technology 3.9k
- Acoustics and Ultrasonics 51
- Instrumentation 130
- Oceanography 448
Countries citing papers authored by Chongyi Li
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
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
The 25 scholars most cited alongside Chongyi Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 10 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 20 | |
| 6 | 2024 | 15 | |
| 7 | 2024 | 22 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 7 | |
| 10 | A General Spatial-Frequency Learning Framework for Multimodal Image Fusionbreakdown → | 2024 | 57 |
| 11 | 2023 | 11 | |
| 12 | 2023 | 16 | |
| 13 | 2023 | 30 | |
| 14 | PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN With Dual-Discriminatorsbreakdown → | 2023 | 162 |
| 15 | 2023 | 65 | |
| 16 | 2022 | 8 | |
| 17 | A Perception-Aware Decomposition and Fusion Framework for Underwater Image Enhancementbreakdown → | 2022 | 167 |
| 18 | 2021 | 42 | |
| 19 | 2020 | 19 | |
| 20 | Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Imagesbreakdown → | 2020 | 231 |
About Chongyi Li
Chongyi Li is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Ocean Engineering, having authored 126 papers that have together received 10.2k indexed citations. Recurring topics across this work include Image Enhancement Techniques (66 papers), Advanced Image Processing Techniques (54 papers), Advanced Image Fusion Techniques (31 papers), Advanced Vision and Imaging (25 papers), Image and Signal Denoising Methods (15 papers), Advanced Neural Network Applications (15 papers), Visual Attention and Saliency Detection (14 papers) and Advanced Image and Video Retrieval Techniques (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (9.1k citations), Media Technology (3.9k citations) and Acoustics and Ultrasonics (51 citations). Chongyi Li has collaborated with scholars based in China, Singapore and Hong Kong. Frequent 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. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and Frontiers of Computer Science.
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.