Runmin Cong
Impact in
-
- Image Enhancement Techniques
- Visual Attention and Saliency Detection
- Advanced Image Processing Techniques
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Image and Signal Denoising Methods
- Media Technology top 0.05%
- Advanced Image Fusion Techniques
Papers in
-
- Visual Attention and Saliency Detection 47
- Image Enhancement Techniques 29
- Advanced Image Processing Techniques 28
- Advanced Image and Video Retrieval Techniques 21
- Advanced Neural Network Applications 20
- Advanced Vision and Imaging 19
- Image and Video Quality Assessment 10
-
- Advanced Image Fusion Techniques 25
- Co-authors
- Chongyi Li (20 shared papers)Sam Kwong (49 shared papers)Jichang Guo (6 shared papers)Chunle Guo (9 shared papers)Qingming Huang (17 shared papers)Junhui Hou (4 shared papers)Chen Change Loy (2 shared papers)Huazhu Fu (12 shared papers)
In The Last Decade
Runmin Cong
113 papers receiving 8.0k citations
Runmin Cong's Hit Papers
Peers
Comparison fields: 5 of 130
- Computer Vision and Pattern Recognition 7.2k
- Media Technology 2.4k
- Sensory Systems 326
- Human-Computer Interaction 213
- Cognitive Neuroscience 544
Countries citing papers authored by Runmin Cong
This map shows the geographic impact of Runmin Cong'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 Runmin Cong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runmin Cong more than expected).
Fields of papers citing papers by Runmin Cong
This network shows the impact of papers produced by Runmin Cong. 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 Runmin Cong. The network helps show where Runmin Cong may publish in the future.
Co-authors
The 25 scholars most cited alongside Runmin Cong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement Hit paper breakdown → | 2020 | 1530 |
| 2 | Underwater Image Enhancement by Dehazing With Minimum Information Loss and Histogram Distribution Prior Hit paper breakdown → | 2016 | 722 |
| 3 | Global Context-Aware Progressive Aggregation Network for Salient Object Detection Hit paper breakdown → | 2020 | 372 |
| 4 | Image Dehazing Transformer with Transmission-Aware 3D Position Embedding Hit paper breakdown → | 2022 | 367 |
| 5 | Review of Visual Saliency Detection With Comprehensive Information Hit paper breakdown → | 2018 | 342 |
| 6 | Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images Hit paper breakdown → | 2020 | 271 |
| 7 | PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN With Dual-Discriminators Hit paper breakdown → | 2023 | 228 |
| 8 | Underwater Image Enhancement Quality Evaluation: Benchmark Dataset and Objective Metric Hit paper breakdown → | 2022 | 216 |
| 9 | 2020 | 201 | |
| 10 | 2016 | 195 | |
| 11 | 2017 | 188 | |
| 12 | CIR-Net: Cross-Modality Interaction and Refinement for RGB-D Salient Object Detection Hit paper breakdown → | 2022 | 167 |
| 13 | 2018 | 156 | |
| 14 | WaveNet: Wavelet Network With Knowledge Distillation for RGB-T Salient Object Detection Hit paper breakdown → | 2023 | 149 |
| 15 | 2019 | 137 | |
| 16 | 2019 | 128 | |
| 17 | 2021 | 122 | |
| 18 | 2020 | 113 | |
| 19 | 2022 | 107 | |
| 20 | 2017 | 106 |
About Runmin Cong
Runmin Cong is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Sensory Systems, Artificial Intelligence and Cognitive Neuroscience, having authored 130 papers that have together received 8.2k indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (47 papers), Image Enhancement Techniques (29 papers), Advanced Image Processing Techniques (28 papers), Advanced Image Fusion Techniques (25 papers), Advanced Image and Video Retrieval Techniques (21 papers), Advanced Neural Network Applications (20 papers), Advanced Vision and Imaging (19 papers) and Image and Video Quality Assessment (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (7.2k citations), Media Technology (2.4k citations), Sensory Systems (326 citations), Human-Computer Interaction (213 citations) and Cognitive Neuroscience (544 citations). Runmin Cong has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Chongyi Li, Sam Kwong, Jichang Guo, Chunle Guo, Qingming Huang, Junhui Hou, Chen Change Loy, Huazhu Fu, Yao Zhao and Jianjun Lei. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Cybernetics and IEEE Transactions on Geoscience and Remote Sensing.
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.