Wenhan Yang

Active 1960–2026

315
Papers
18,320
Citations
63
h-index
191
i10-index

Citations

Citations per year for Wenhan Yang1905: 1 citations1960: 5 citations1965: 1 citations1998: 1 citations2002: 2 citations2003: 1 citations2005: 1 citations2009: 2 citations2012: 6 citations2015: 4 citations2016: 19 citations2017: 34 citations2018: 140 citations2019: 285 citations2020: 575 citations2021: 945 citations2022: 1,217 citations2023: 1,708 citations2024: 2,206 citations2025: 2,244 citations2026: 610 citations1906–1959: no citations, so these years are not shown1961–1964: no citations, so these years are not shown1966–1997: no citations, so these years are not shown1999–2001: no citations, so these years are not shown2004: no citations, so this year is not shown2006–2008: no citations, so these years are not shown2010–2011: no citations, so these years are not shown2013–2014: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 4,300 citing papers, 52.3% of this breakdownUnited States: 646 citing papers, 7.9% of this breakdownHong Kong: 308 citing papers, 3.7% of this breakdownIndia: 300 citing papers, 3.6% of this breakdownUnited Kingdom: 265 citing papers, 3.2% of this breakdownSingapore: 239 citing papers, 2.9% of this breakdownAustralia: 205 citing papers, 2.5% of this breakdownSouth Korea: 204 citing papers, 2.5% of this breakdownCanada: 166 citing papers, 2% of this breakdownJapan: 121 citing papers, 1.5% of this breakdownTaiwan: 114 citing papers, 1.4% of this breakdownGermany: 107 citing papers, 1.3% of this breakdown
0%52.3%Other 15.2%

Fields

  • Computer Science73.8%
  • Engineering6.6%
  • Medicine6%
  • Nursing3.7%
  • Biochemistry, Genetics and Molecular Biology3%
  • Neuroscience1.8%
  • Other5.1%

Topics

  • Image Enhancement Techniques15.2%
  • Advanced Image Processing Techniques12.9%
  • Advanced Image Fusion Techniques6.1%
  • Advanced Vision and Imaging6%
  • Image and Signal Denoising Methods4.9%
  • Generative Adversarial Networks and Image Synthesis2.2%
  • Other52.7%

Coauthors

All papers

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  1. URetinex-Net: Retinex-based Deep Unfolding Network for Low-light Image Enhancement

    Authors: , , , , , - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 cited by 707

  2. Sparse Gradient Regularized Deep Retinex Network for Robust Low-Light Image Enhancement

    Authors: , , , , - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2021 cited by 700

  3. Structure-Revealing Low-Light Image Enhancement Via Robust Retinex Model

    Authors: , , , , - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2018 cited by 1,205

  4. Deep Retinex Decomposition for Low-Light Enhancement

    Authors: , , , - BMVC 2018 cited by 522

  5. Low-Light Image Enhancement with Normalizing Flow

    Authors: , , , , , - AAAI Conference on Artificial Intelligence 2022 cited by 487

  6. From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement

    Authors: , , , , - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020 cited by 614

  7. Benchmarking Low-Light Image Enhancement and Beyond

    Authors: , , , , - International Journal of Computer Vision, Int. J. Comput. Vis. 2021 cited by 327

  8. Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Tianyi Chen, Yuhui Quan, Yong Xu, Bo Liu, Xin Liu, Qi Sun, Tingyu Lin, Xiaochuan Li, Feng Lu, Lin Gu, Shengdi Zhou, Cong Cao, Shifeng Zhang, Cheng Chi, Chubin Zhuang, Zhen Lei, Stan Z. Li, Shizheng Wang, Ruizhe Liu, Dong Yi, Zheming Zuo, Jianning Chi, Huan Wang, Kai Wang, Yixiu Liu, Xingyu Gao, Zhenyu Chen, Chang Guo, Yongzhou Li, Huicai Zhong, Jing Huang, Heng Guo, Jianfei Yang, Wenjuan Liao, Jiangang Yang, Liguo Zhou, Mingyue Feng, Likun Qin - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2020 cited by 325

  9. LR3M: Robust Low-Light Enhancement via Low-Rank Regularized Retinex Model

    Authors: , , , - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2020 cited by 392

  10. UCL-Dehaze: Toward Real-World Image Dehazing via Unsupervised Contrastive Learning

    Authors: , , , , , , , - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2024 cited by 172

  11. Joint Rain Detection and Removal from a Single Image with Contextualized Deep Networks

    Authors: , , , , , - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2019 cited by 443

  12. Band Representation-Based Semi-Supervised Low-Light Image Enhancement: Bridging the Gap Between Signal Fidelity and Perceptual Quality

    Authors: , , , , - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2021 cited by 218

  13. Inhibition mechanism of ferulic acid against α-amylase and α-glucosidase

    Authors: , , , , , , , - Food Chemistry 2020 cited by 386

  14. MS2L: Multi-Task Self-Supervised Learning for Skeleton Based Action Recognition

    Authors: , , , - International Conference on Multimedia, ACM Multimedia 2020 cited by 198

  15. GLADNet: Low-Light Enhancement Network with Global Awareness

    Authors: , , , - 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018) 2018 cited by 337

  16. Semantically Contrastive Learning for Low-Light Image Enhancement

    Authors: , , , , , , , - AAAI Conference on Artificial Intelligence 2022 cited by 129

  17. Towards Unsupervised Deep Image Enhancement With Generative Adversarial Network

    Authors: , , , , - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2020 cited by 154

  18. Integrating Semantic Segmentation and Retinex Model for Low-Light Image Enhancement

    Authors: , , , - International Conference on Multimedia, ACM Multimedia 2020 cited by 129

  19. Coarse-to-Fine Hyper-Prior Modeling for Learned Image Compression

    Authors: , , - AAAI Conference on Artificial Intelligence 2020 cited by 134

  20. Controlled ultrasound treatments modify the morphology and physical properties of rice starch rather than the fine structure

    Authors: , , , , , , , , , - Ultrasonics Sonochemistry 2019 cited by 203

  21. Towards Coding for Human and Machine Vision: Scalable Face Image Coding

    Authors: , , , , - IEEE Transactions on Multimedia, IEEE Trans. Multim. 2021 cited by 85

  22. Towards Low Light Enhancement With RAW Images

    Authors: , , , , - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2022 cited by 73

  23. A Comprehensive Benchmark for Single Image Compression Artifact Reduction

    Authors: , , , , , - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2020 cited by 90

  24. Video Coding for Machines: Compact Visual Representation Compression for Intelligent Collaborative Analytics

    Authors: , , , , - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2024 cited by 45