Yan Duan

Active 2008–2026

90
Papers
18,929
Citations
36
h-index
67
i10-index

Citations

Citations per year for Yan Duan1998: 1 citations2002: 1 citations2004: 1 citations2008: 1 citations2009: 1 citations2010: 1 citations2011: 1 citations2013: 1 citations2014: 13 citations2015: 43 citations2016: 96 citations2017: 331 citations2018: 714 citations2019: 904 citations2020: 1,044 citations2021: 1,146 citations2022: 784 citations2023: 714 citations2024: 674 citations2025: 464 citations2026: 138 citations1999–2001: no citations, so these years are not shown2003: no citations, so this year is not shown2005–2007: no citations, so these years are not shown2012: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,011 citing papers, 27% of this breakdownChina: 1,584 citing papers, 21.2% of this breakdownUnited Kingdom: 565 citing papers, 7.6% of this breakdownGermany: 386 citing papers, 5.2% of this breakdownCanada: 272 citing papers, 3.6% of this breakdownFrance: 206 citing papers, 2.8% of this breakdownJapan: 195 citing papers, 2.6% of this breakdownSouth Korea: 182 citing papers, 2.4% of this breakdownAustralia: 172 citing papers, 2.3% of this breakdownItaly: 147 citing papers, 2% of this breakdownSwitzerland: 145 citing papers, 1.9% of this breakdownNetherlands: 124 citing papers, 1.7% of this breakdown
0%27%Other 19.7%

Fields

  • Computer Science65.9%
  • Engineering12.5%
  • Biochemistry, Genetics and Molecular Biology7.3%
  • Medicine2.7%
  • Materials Science2.3%
  • Neuroscience1.4%
  • Other7.9%

Topics

  • Reinforcement Learning in Robotics9.8%
  • Generative Adversarial Networks and Image Synthesis4.2%
  • Adversarial Robustness in Machine Learning3.7%
  • Robotic Path Planning Algorithms3.5%
  • Robot Manipulation and Learning3.1%
  • Domain Adaptation and Few-Shot Learning2.8%
  • Other72.9%

Coauthors

All papers

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  1. RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning

    Authors: , , , , , - arXiv (Cornell University), CoRR 2016 cited by 767

  2. Motion planning with sequential convex optimization and convex collision checking

    Authors: , , , , , , , , , - The International Journal of Robotics Research, Int. J. Robotics Res. 2014 cited by 844

  3. Evaluating Protein Transfer Learning with TAPE

    Authors: , , , , , , , - NeurIPS 2019 cited by 1,048

  4. Adversarial Attacks on Neural Network Policies

    Authors: , , , , - ICLR (Workshop) 2017 cited by 957

  5. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

    Authors: , , , , , - NIPS 2016 cited by 4,563

  6. Model-Ensemble Trust-Region Policy Optimization

    Authors: , , , , - ICLR (Poster) 2018 cited by 487

  7. Variational Lossy Autoencoder

    Authors: , , , , , , , - ICLR (Poster) 2017 cited by 713

  8. Benchmarking Deep Reinforcement Learning for Continuous Control

    Authors: , , , , - ICML 2016 cited by 1,829

  9. Selectivity Estimation with Deep Likelihood Models

    Authors: , , , , , , , , , - VLDB Endowment, Proc. VLDB Endow. 2019 cited by 199

  10. Enhancing coherence in molecular spin qubits via atomic clock transitions

    Authors: , , , , , - Nature 2016 cited by 636

  11. NeuroCard: One Cardinality Estimator for All Tables

    Authors: , , , , , , - VLDB Endowment, Proc. VLDB Endow. 2020 cited by 169

  12. Stochastic Neural Networks for Hierarchical Reinforcement Learning

    Authors: , , - International Conference on Learning Representations, ICLR (Poster) 2016 cited by 378

  13. Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks

    Authors: , , , , , - NIPS 2016 cited by 849

  14. One-Shot Imitation Learning

    Authors: , , , , , , , - Neural Information Processing Systems, NIPS 2017 cited by 748

  15. #Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning

    Authors: , , , , , , , , - NIPS 2017 cited by 867

  16. Some Considerations on Learning to Explore via Meta-Reinforcement Learning

    Authors: , , , , , , , - arXiv (Cornell University), CoRR 2018 cited by 87

  17. Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines

    Authors: , , , , , , , - ICLR 2018 cited by 173

  18. Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design

    Authors: , , , , - ICML 2019 cited by 509

  19. Mimicking the Biological Sense of Taste In Vitro Using a Taste Organoids‐on‐a‐Chip System

    Authors: , , , , , , , , , , , - Advanced Science 2023 cited by 40

  20. Rational design and biological evaluation of a new class of thiazolopyridyl tetrahydroacridines as cholinesterase and GSK-3 dual inhibitors for Alzheimer’s disease

    Authors: , , , , , , , , , , , - European Journal of Medicinal Chemistry 2020 cited by 39

  21. Hypoxia inducible factor 1α in vascular smooth muscle cells promotes angiotensin II-induced vascular remodeling via activation of CCL7-mediated macrophage recruitment

    Authors: , , , , , , , , , , , , , , , - Cell Death and Disease 2019 cited by 84

  22. Kidney tonifying traditional Chinese medicine: Potential implications for the prevention and treatment of osteoporosis

    Authors: , , , , , , - Frontiers in Pharmacology 2023 cited by 39

  23. Learning Visual Feature Spaces for Robotic Manipulation with Deep Spatial Autoencoders

    Authors: , , , , , - arXiv (Cornell University), CoRR 2015 cited by 65

  24. Label-Free Analysis of Protein Biomarkers Using Pattern-Optimized Graphene-Nanopyramid SERS for the Rapid Diagnosis of Alzheimer’s Disease

    Authors: , , , , , , , , , , , , , , - ACS Applied Nano Materials 2024 cited by 21