Risheng Liu

361 total papers · 13.2k total citations
202 papers, 7.0k citations indexed

About

Risheng Liu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics. According to data from OpenAlex, Risheng Liu has authored 202 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 165 papers in Computer Vision and Pattern Recognition, 55 papers in Media Technology and 33 papers in Computational Mechanics. Recurrent topics in Risheng Liu's work include Image Enhancement Techniques (87 papers), Advanced Image Processing Techniques (58 papers) and Advanced Vision and Imaging (42 papers). Risheng Liu is often cited by papers focused on Image Enhancement Techniques (87 papers), Advanced Image Processing Techniques (58 papers) and Advanced Vision and Imaging (42 papers). Risheng Liu collaborates with scholars based in China, Hong Kong and United States. Risheng Liu's co-authors include Xin Fan, Zhongxuan Luo, Jinyuan Liu, Long Ma, Zhiying Jiang, Minjun Hou, Guanyao Wu, Jiaao Zhang, Ming Zhu and Zhixun Su and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Risheng Liu

198 papers receiving 6.9k citations

Hit Papers

Real-World Underwater Enh... 2020 2026 2022 2024 2020 2021 2022 2022 2021 100 200 300 400 500
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Real-World Underwater Enhancement: Challenges, Benchmarks, and Solutions Under Natural Light
    2020 559 citations Risheng Liu, Xin Fan et al. IEEE Transactions on Circuits and Systems for Video Technology profile →
  2. Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement
    2021 555 citations Risheng Liu, Long Ma et al. profile →
  3. Toward Fast, Flexible, and Robust Low-Light Image Enhancement
    2022 508 citations Long Ma, Tengyu Ma et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
  4. Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection
    2022 491 citations Jinyuan Liu, Xin Fan et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
  5. Learning a Deep Multi-Scale Feature Ensemble and an Edge-Attention Guidance for Image Fusion
    2021 265 citations Jinyuan Liu, Xin Fan et al. IEEE Transactions on Circuits and Systems for Video Technology profile →
  6. Twin Adversarial Contrastive Learning for Underwater Image Enhancement and Beyond
    2022 225 citations Risheng Liu, Zhiying Jiang et al. IEEE Transactions on Image Processing profile →
  7. Target Oriented Perceptual Adversarial Fusion Network for Underwater Image Enhancement
    2022 186 citations Zhiying Jiang, Zhuoxiao Li et al. IEEE Transactions on Circuits and Systems for Video Technology profile →
  8. Self-augmented Unpaired Image Dehazing via Density and Depth Decomposition
    2022 172 citations Yang Yang, Chaoyue Wang et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
  9. Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration
    2022 167 citations Di Wang, Jinyuan Liu et al. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence profile →
  10. Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation
    2023 136 citations Jinyuan Liu, Zhu Liu et al. profile →
  11. CoCoNet: Coupled Contrastive Learning Network with Multi-level Feature Ensemble for Multi-modality Image Fusion
    2023 121 citations Jinyuan Liu, Runjia Lin et al. International Journal of Computer Vision profile →
  12. An interactively reinforced paradigm for joint infrared-visible image fusion and saliency object detection
    2023 99 citations Di Wang, Jinyuan Liu et al. Information Fusion profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Risheng Liu 5.8k 3.0k 724 458 434 202 7.0k
Xin Fan 5.3k 0.9× 2.9k 0.9× 781 1.1× 465 1.0× 153 0.4× 295 7.5k
Zhongxuan Luo 3.2k 0.6× 1.7k 0.6× 489 0.7× 285 0.6× 345 0.8× 185 4.7k
Gemine Vivone 4.4k 0.8× 5.8k 1.9× 517 0.7× 582 1.3× 146 0.3× 163 7.0k
Roberto Manduchi 6.0k 1.0× 2.2k 0.7× 990 1.4× 403 0.9× 499 1.1× 130 8.4k
J. Illingworth 4.4k 0.8× 1.1k 0.4× 832 1.1× 664 1.4× 405 0.9× 90 6.2k
Heng-Chao Li 1.8k 0.3× 3.7k 1.2× 866 1.2× 736 1.6× 282 0.6× 197 6.0k
Xinghao Ding 7.6k 1.3× 3.8k 1.2× 344 0.5× 1.3k 2.8× 349 0.8× 204 9.2k
Srinivasa G. Narasimhan 7.1k 1.2× 3.3k 1.1× 426 0.6× 182 0.4× 260 0.6× 139 8.5k
Yunsong Li 3.7k 0.6× 5.3k 1.7× 1.0k 1.4× 1.1k 2.4× 303 0.7× 420 8.3k
Xudong Kang 3.8k 0.7× 7.1k 2.3× 814 1.1× 675 1.5× 216 0.5× 151 8.3k

Countries citing papers authored by Risheng Liu

Since Specialization
Citations

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

Fields of papers citing papers by Risheng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Risheng Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Risheng Liu. A scholar is included among the top collaborators of Risheng Liu 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 Risheng Liu. Risheng Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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