Fang Wan

Active 1991–2026

275
Papers
19,111
Citations
61
h-index
168
i10-index

Citations

Citations per year for Fang Wan1989: 1 citations1995: 1 citations1996: 2 citations1997: 4 citations1998: 8 citations1999: 12 citations2000: 4 citations2001: 2 citations2002: 6 citations2003: 4 citations2004: 5 citations2005: 5 citations2006: 5 citations2007: 3 citations2008: 6 citations2009: 4 citations2010: 12 citations2011: 7 citations2012: 7 citations2013: 12 citations2014: 9 citations2015: 13 citations2016: 13 citations2017: 24 citations2018: 63 citations2019: 257 citations2020: 678 citations2021: 823 citations2022: 774 citations2023: 837 citations2024: 1,028 citations2025: 895 citations2026: 207 citations1990–1994: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 2,644 citing papers, 39.6% of this breakdownUnited States: 861 citing papers, 12.9% of this breakdownUnited Kingdom: 265 citing papers, 4% of this breakdownIndia: 217 citing papers, 3.3% of this breakdownAustralia: 203 citing papers, 3% of this breakdownGermany: 163 citing papers, 2.4% of this breakdownSouth Korea: 162 citing papers, 2.4% of this breakdownCanada: 151 citing papers, 2.3% of this breakdownItaly: 124 citing papers, 1.9% of this breakdownHong Kong: 121 citing papers, 1.8% of this breakdownSingapore: 105 citing papers, 1.6% of this breakdownSpain: 92 citing papers, 1.4% of this breakdown
0%39.6%Other 23.4%

Fields

  • Computer Science34.3%
  • Engineering18.3%
  • Medicine14.8%
  • Biochemistry, Genetics and Molecular Biology13.3%
  • Neuroscience5.8%
  • Immunology and Microbiology2.2%
  • Other11.3%

Topics

  • Advanced Neural Network Applications5.4%
  • Computational Drug Discovery Methods3.2%
  • Advanced Image and Video Retrieval Techniques2.9%
  • Advanced battery technologies research2.8%
  • Domain Adaptation and Few-Shot Learning2.6%
  • Advanced Battery Materials and Technologies2.4%
  • Other80.7%

Coauthors

All papers

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  1. TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization

    Authors: , , , , , , , - IEEE/CVF International Conference on Computer Vision (ICCV) 2021 cited by 210

  2. Machine learning for antimicrobial peptide identification and design

    Authors: , , , - Nature Reviews Bioengineering 2024 cited by 219

  3. Geometric-Mean Policy Optimization

    Authors: , , , , , , , , , , , - ArXiv.org, CoRR 2025 cited by 84

  4. A deep-learning framework for multi-level peptide–protein interaction prediction

    Authors: , , , , , , , - Nature Communications 2021 cited by 223

  5. Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

    Authors: , , , , , , , , - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025 cited by 72

  6. MONN: A Multi-objective Neural Network for Predicting Compound-Protein Interactions and Affinities

    Authors: , , , , , - Cell Systems 2020 cited by 257

  7. Deep-learning-enabled antibiotic discovery through molecular de-extinction

    Authors: , , , - Nature Biomedical Engineering 2024 cited by 156

  8. Learning to Match Anchors for Visual Object Detection

    Authors: , , , , - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2021 cited by 189

  9. Deep generative models for peptide design

    Authors: , , - Digital Discovery 2022 cited by 123

  10. SocioVerse: A World Model for Social Simulation Powered by LLM Agents and A Pool of 10 Million Real-World Users

    Authors: , , , , , , , , , , , , , , , , , , , , - ArXiv.org, CoRR 2025 cited by 50

  11. Targeting Microglial α-Synuclein/TLRs/NF-kappaB/NLRP3 Inflammasome Axis in Parkinson’s Disease

    Authors: , , , , , , , , , , , - Frontiers in Immunology 2021 cited by 220

  12. DANet: Divergent Activation for Weakly Supervised Object Localization

    Authors: , , , , , - IEEE/CVF International Conference on Computer Vision (ICCV) 2019 cited by 213

  13. Microglia as modulators of exosomal alpha-synuclein transmission

    Authors: , , , , , , , , , , , - Cell Death and Disease 2019 cited by 206

  14. YOLO-LRDD: a lightweight method for road damage detection based on improved YOLOv5s

    Authors: , , , , , - EURASIP Journal on Advances in Signal Processing 2022 cited by 113

  15. YOLO-MBBi: PCB Surface Defect Detection Method Based on Enhanced YOLOv5

    Authors: , , , , , - Electronics 2023 cited by 90

  16. Reactive microglia enhance the transmission of exosomal α-synuclein via toll-like receptor 2

    Authors: , , , , , , , , , , , , , - Brain 2021 cited by 120

  17. Long-term exposure to copper induces autophagy and apoptosis through oxidative stress in rat kidneys

    Authors: , , , , , , , , , , , - Ecotoxicology and Environmental Safety 2020 cited by 143

  18. FreeAnchor: Learning to Match Anchors for Visual Object Detection

    Authors: , , , , - NeurIPS 2019 cited by 329

  19. The circadian clock protein Rev-erbα provides neuroprotection and attenuates neuroinflammation against Parkinson’s disease via the microglial NLRP3 inflammasome

    Authors: , , , , , , , , , , , , , , - Journal of Neuroinflammation 2022 cited by 90

  20. A hybrid particle swarm optimizer with sine cosine acceleration coefficients

    Authors: , , , , , - Information Sciences, Inf. Sci. 2017 cited by 195

  21. Recent advances in aflatoxin B1 detection based on nanotechnology and nanomaterials-A review

    Authors: , , , , , , , , - Analytica Chimica Acta 2019 cited by 236

  22. Min-Entropy Latent Model for Weakly Supervised Object Detection

    Authors: , , , , - IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018 cited by 216

  23. Deep learning tools to accelerate antibiotic discovery

    Authors: , , , , - Expert Opinion on Drug Discovery 2023 cited by 61

  24. Arsenic exposure induces intestinal barrier damage and consequent activation of gut-liver axis leading to inflammation and pyroptosis of liver in ducks

    Authors: , , , , , , , - The Science of The Total Environment 2021 cited by 149