Runmin Cong

10.5k total citations · 11 hit papers
109 papers, 6.8k citations indexed

About

Runmin Cong is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Runmin Cong has authored 109 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Computer Vision and Pattern Recognition, 38 papers in Media Technology and 13 papers in Artificial Intelligence. Recurrent topics in Runmin Cong's work include Visual Attention and Saliency Detection (42 papers), Image Enhancement Techniques (26 papers) and Advanced Image Processing Techniques (25 papers). Runmin Cong is often cited by papers focused on Visual Attention and Saliency Detection (42 papers), Image Enhancement Techniques (26 papers) and Advanced Image Processing Techniques (25 papers). Runmin Cong collaborates with scholars based in China, Hong Kong and Singapore. Runmin Cong's co-authors include Chongyi Li, Sam Kwong, Jichang Guo, Chunle Guo, Qingming Huang, Junhui Hou, Huazhu Fu, Yao Zhao, Chen Change Loy and Jianjun Lei and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Runmin Cong

100 papers receiving 6.7k citations

Hit Papers

Zero-Reference Deep Curve Estimation for Low-Light I... 2016 2026 2019 2022 2020 2016 2020 2018 2022 400 800 1.2k
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.

  1. Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
    2020 1.2k citations Chunle Guo, Chongyi Li et al. profile →
  2. Underwater Image Enhancement by Dehazing With Minimum Information Loss and Histogram Distribution Prior
    2016 639 citations Chongyi Li, Runmin Cong et al. IEEE Transactions on Image Processing profile →
  3. Global Context-Aware Progressive Aggregation Network for Salient Object Detection
    2020 343 citations Qianqian Xu, Runmin Cong et al. profile →
  4. Review of Visual Saliency Detection With Comprehensive Information
    2018 312 citations Runmin Cong, Jianjun Lei et al. IEEE Transactions on Circuits and Systems for Video Technology profile →
  5. Image Dehazing Transformer with Transmission-Aware 3D Position Embedding
    2022 273 citations Chunle Guo, Runmin Cong et al. profile →
  6. Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images
    2020 231 citations Qijian Zhang, Runmin Cong et al. IEEE Transactions on Image Processing profile →
  7. Underwater Image Enhancement Quality Evaluation: Benchmark Dataset and Objective Metric
    2022 182 citations Qiuping Jiang, Chongyi Li et al. IEEE Transactions on Circuits and Systems for Video Technology profile →
  8. PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN With Dual-Discriminators
    2023 162 citations Runmin Cong, Wei Zhang et al. IEEE Transactions on Image Processing profile →
  9. CIR-Net: Cross-Modality Interaction and Refinement for RGB-D Salient Object Detection
    2022 136 citations Runmin Cong, Chen Zhang et al. IEEE Transactions on Image Processing profile →
  10. WaveNet: Wavelet Network With Knowledge Distillation for RGB-T Salient Object Detection
    2023 96 citations Qiuping Jiang, Runmin Cong et al. IEEE Transactions on Image Processing profile →
  11. Decoupling and Integration Network for Camouflaged Object Detection
    2024 51 citations Xiaofei Zhou, Runmin Cong et al. IEEE Transactions on Multimedia profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Runmin Cong China 38 6.1k 2.2k 504 479 339 109 6.8k
Yun Liu China 34 3.9k 0.6× 825 0.4× 454 0.9× 464 1.0× 737 2.2× 114 5.2k
Dong Wang China 36 5.0k 0.8× 880 0.4× 486 1.0× 1.2k 2.6× 544 1.6× 149 6.0k
Jingyi Yu China 37 4.4k 0.7× 817 0.4× 224 0.4× 446 0.9× 306 0.9× 219 5.3k
Pingping Zhang China 28 3.2k 0.5× 670 0.3× 533 1.1× 229 0.5× 394 1.2× 93 3.7k
Qiuping Jiang China 34 3.3k 0.5× 1.4k 0.6× 281 0.6× 221 0.5× 412 1.2× 211 4.4k
Xiaodi Hou China 11 5.3k 0.9× 891 0.4× 802 1.6× 506 1.1× 784 2.3× 11 6.4k
Chenglong Li China 33 3.6k 0.6× 836 0.4× 166 0.3× 1.1k 2.2× 454 1.3× 174 4.3k
Martin Jägersand Canada 21 2.8k 0.5× 638 0.3× 327 0.6× 535 1.1× 611 1.8× 113 4.2k
Chongyi Li China 44 9.1k 1.5× 3.9k 1.7× 142 0.3× 419 0.9× 314 0.9× 126 10.2k
Yuchao Dai China 38 4.8k 0.8× 1.2k 0.5× 147 0.3× 1.4k 2.8× 473 1.4× 166 5.6k

Countries citing papers authored by Runmin Cong

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Runmin Cong

This figure shows the co-authorship network connecting the top 25 collaborators of Runmin Cong. A scholar is included among the top collaborators of Runmin Cong 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 Runmin Cong. Runmin Cong 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.
Fang, Hao, Runmin Cong, Xiankai Lu, et al.. (2025). Decoupled Motion Expression Video Segmentation. 13821–13831. 1 indexed citations
2.
Xu, Qianqian, et al.. (2025). Semantic Concentration for Self-Supervised Dense Representations Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(2). 1185–1201.
3.
Cong, Runmin, et al.. (2025). RDNet: Region Proportion-Aware Dynamic Adaptive Salient Object Detection Network in Optical Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–12.
4.
Yue, Guanghui, et al.. (2025). Text-Guided Semantic Alignment Network With Spatial-Frequency Interaction for Infrared-Visible Image Fusion Under Extreme Illumination. IEEE Transactions on Image Processing. 34. 7943–7958. 1 indexed citations
5.
Jiang, Qiuping, et al.. (2024). High-Precision Dichotomous Image Segmentation With Frequency and Scale Awareness. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 8619–8631. 5 indexed citations
6.
Cong, Runmin, et al.. (2024). Perception-Oriented UAV Image Dehazing Based on Super-Pixel Scene Prior. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–19. 6 indexed citations
7.
Luo, Yuxuan, Runmin Cong, Xialei Liu, Horace H. S. Ip, & Sam Kwong. (2024). Modeling Inner- and Cross-Task Contrastive Relations for Continual Image Classification. IEEE Transactions on Multimedia. 26. 10842–10853. 4 indexed citations
8.
Cong, Runmin, et al.. (2024). Query-Guided Prototype Evolution Network for Few-Shot Segmentation. IEEE Transactions on Multimedia. 26. 6501–6512. 15 indexed citations
9.
Cong, Runmin, Chunlei Wu, Xibin Song, et al.. (2024). SRNSD: Structure-Regularized Night-Time Self-Supervised Monocular Depth Estimation for Outdoor Scenes. IEEE Transactions on Image Processing. 33. 5538–5550. 1 indexed citations
10.
Wang, Zhipeng, et al.. (2023). Self-Supervised Hyperspectral Anomaly Detection Based on Finite Spatialwise Attention. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–18. 8 indexed citations
11.
Cong, Runmin, et al.. (2023). Multi-Projection Fusion and Refinement Network for Salient Object Detection in 360° Omnidirectional Image. IEEE Transactions on Neural Networks and Learning Systems. 35(7). 9495–9507. 9 indexed citations
12.
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 →
13.
Yue, Guanghui, et al.. (2022). Boundary Constraint Network With Cross Layer Feature Integration for Polyp Segmentation. IEEE Journal of Biomedical and Health Informatics. 26(8). 4090–4099. 77 indexed citations
14.
Cong, Runmin, Qi Qin, Chen Zhang, et al.. (2022). A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels. IEEE Transactions on Circuits and Systems for Video Technology. 33(2). 534–548. 56 indexed citations
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.
Yan, Chenggang, Xiaofei Zhou, Runmin Cong, et al.. (2021). Dynamic Selective Network for RGB-D Salient Object Detection. IEEE Transactions on Image Processing. 30. 9179–9192. 69 indexed citations
17.
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 →
18.
Cong, Runmin, Jianjun Lei, Huazhu Fu, et al.. (2019). Going From RGB to RGBD Saliency: A Depth-Guided Transformation Model. IEEE Transactions on Cybernetics. 50(8). 3627–3639. 120 indexed citations
19.
Cong, Runmin, Jianjun Lei, Huazhu Fu, et al.. (2018). HSCS: Hierarchical Sparsity Based Co-saliency Detection for RGBD Images. IEEE Transactions on Multimedia. 21(7). 1660–1671. 85 indexed citations
20.
Cong, Runmin, Jianjun Lei, Huazhu Fu, et al.. (2017). An Iterative Co-Saliency Framework for RGBD Images. IEEE Transactions on Cybernetics. 49(1). 233–246. 101 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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