Stephen Lin

Active 1996–2026

252
Papers
60,317
Citations
85
h-index
194
i10-index

Citations

Citations per year for Stephen Lin1966: 1 citations1968: 1 citations1978: 1 citations1985: 4 citations1986: 1 citations1989: 1 citations1994: 2 citations1996: 2 citations1997: 3 citations1998: 8 citations1999: 7 citations2000: 8 citations2001: 21 citations2002: 35 citations2003: 45 citations2004: 65 citations2005: 94 citations2006: 108 citations2007: 160 citations2008: 230 citations2009: 234 citations2010: 298 citations2011: 278 citations2012: 312 citations2013: 344 citations2014: 441 citations2015: 471 citations2016: 526 citations2017: 621 citations2018: 725 citations2019: 917 citations2020: 1,106 citations2021: 1,492 citations2022: 3,596 citations2023: 5,993 citations2024: 7,681 citations2025: 6,602 citations2026: 1,301 citations2027: 1 citations1967: no citations, so this year is not shown1969–1977: no citations, so these years are not shown1979–1984: no citations, so these years are not shown1987–1988: no citations, so these years are not shown1990–1993: no citations, so these years are not shown1995: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 18,526 citing papers, 45.2% of this breakdownUnited States: 4,941 citing papers, 12% of this breakdownUnited Kingdom: 1,760 citing papers, 4.3% of this breakdownHong Kong: 1,365 citing papers, 3.3% of this breakdownSouth Korea: 1,358 citing papers, 3.3% of this breakdownGermany: 1,038 citing papers, 2.5% of this breakdownAustralia: 1,011 citing papers, 2.5% of this breakdownSingapore: 989 citing papers, 2.4% of this breakdownJapan: 924 citing papers, 2.3% of this breakdownIndia: 904 citing papers, 2.2% of this breakdownCanada: 854 citing papers, 2.1% of this breakdownFrance: 628 citing papers, 1.5% of this breakdown
0%45.2%Other 16.4%

Fields

  • Computer Science61.3%
  • Engineering17.6%
  • Medicine9.1%
  • Biochemistry, Genetics and Molecular Biology2%
  • Neuroscience1.7%
  • Physics and Astronomy1.6%
  • Other6.7%

Topics

  • Advanced Neural Network Applications7.6%
  • Advanced Image and Video Retrieval Techniques3.9%
  • Advanced Vision and Imaging3.8%
  • Advanced Image Processing Techniques3.3%
  • Image Enhancement Techniques3%
  • Domain Adaptation and Few-Shot Learning2.6%
  • Other75.8%

Coauthors

All papers

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  1. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

    Authors: , , , , , , , - IEEE/CVF International Conference on Computer Vision (ICCV) 2021 cited by 30,124

  2. A High-Quality Denoising Dataset for Smartphone Cameras

    Authors: , , - IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018 cited by 847

  3. Video Swin Transformer

    Authors: , , , , , , - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 cited by 1,904

  4. Global Context Networks

    Authors: , , , , - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2020 cited by 148

  5. FC^4: Fully Convolutional Color Constancy with Confidence-Weighted Pooling

    Authors: , , - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 cited by 236

  6. Computational Snapshot Multispectral Cameras: Toward dynamic capture of the spectral world

    Authors: , , , , , , , - IEEE Signal Processing Magazine, IEEE Signal Process. Mag. 2016 cited by 284

  7. Quality Control Guidelines for Clinical-Grade Human Induced Pluripotent Stem Cell Lines

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , - Regenerative Medicine 2018 cited by 276

  8. Deformable ConvNets V2: More Deformable, Better Results

    Authors: , , , - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019 cited by 2,658

  9. DeepVessel: Retinal Vessel Segmentation via Deep Learning and Conditional Random Field

    Authors: , , , , - Lecture notes in computer science, MICCAI (2) 2016 cited by 462

  10. What Makes Instance Discrimination Good for Transfer Learning?

    Authors: , , , - ICLR 2021 cited by 183

  11. RepPoints: Point Set Representation for Object Detection

    Authors: , , , , - IEEE/CVF International Conference on Computer Vision (ICCV) 2019 cited by 1,164

  12. A Prism-Mask System for Multispectral Video Acquisition

    Authors: , , , , - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2011 cited by 192

  13. Unsupervised Extraction of Video Highlights Via Robust Recurrent Auto-encoders

    Authors: , , , , , - IEEE International Conference on Computer Vision (ICCV) 2015 cited by 166

  14. DPSNet: End-to-end Deep Plane Sweep Stereo

    Authors: , , , - ICLR (Poster) 2019 cited by 258

  15. A Closed-Form Solution to Retinex with Nonlocal Texture Constraints

    Authors: , , , , , - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2012 cited by 190

  16. Simulating makeup through physics-based manipulation of intrinsic image layers

    Authors: , , - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015 cited by 106

  17. A New In-Camera Imaging Model for Color Computer Vision and Its Application

    Authors: , , , , , - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2012 cited by 169

  18. Techniques for physicochemical characterization of nanomaterials

    Authors: , , , - Biotechnology Advances 2013 cited by 691

  19. GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond

    Authors: , , , , - IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), ICCV Workshops 2019 cited by 2,074

  20. Global illumination with radiance regression functions

    Authors: , , , , , - ACM Transactions on Graphics, ACM Trans. Graph. 2013 cited by 110

  21. An Empirical Study of Spatial Attention Mechanisms in Deep Networks

    Authors: , , , , - IEEE/CVF International Conference on Computer Vision (ICCV) 2019 cited by 528

  22. Super resolution using edge prior and single image detail synthesis

    Authors: , , , - IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010 cited by 364

  23. Aligning Pretraining for Detection via Object-Level Contrastive Learning

    Authors: , , , , - NeurIPS 2021 cited by 177

  24. Automatic Feature Learning to Grade Nuclear Cataracts Based on Deep Learning

    Authors: , , - IEEE Transactions on Biomedical Engineering, ACCV (2) 2014 cited by 257