J. Joshua Yang

Active 2008–2026

155
Papers
46,100
Citations
90
h-index
132
i10-index

Citations

Citations per year for J. Joshua Yang1943: 1 citations1983: 2 citations1987: 2 citations2005: 4 citations2008: 4 citations2009: 34 citations2010: 92 citations2011: 240 citations2012: 221 citations2013: 303 citations2014: 297 citations2015: 353 citations2016: 401 citations2017: 471 citations2018: 739 citations2019: 1,547 citations2020: 2,377 citations2021: 2,453 citations2022: 2,566 citations2023: 2,303 citations2024: 2,889 citations2025: 1,877 citations2026: 170 citations1944–1982: no citations, so these years are not shown1984–1986: no citations, so these years are not shown1988–2004: no citations, so these years are not shown2006–2007: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,721 citing papers, 28.6% of this breakdownUnited States: 2,330 citing papers, 17.9% of this breakdownSouth Korea: 981 citing papers, 7.5% of this breakdownGermany: 615 citing papers, 4.7% of this breakdownUnited Kingdom: 439 citing papers, 3.4% of this breakdownIndia: 421 citing papers, 3.2% of this breakdownSingapore: 382 citing papers, 2.9% of this breakdownItaly: 376 citing papers, 2.9% of this breakdownHong Kong: 354 citing papers, 2.7% of this breakdownFrance: 265 citing papers, 2% of this breakdownJapan: 261 citing papers, 2% of this breakdownAustralia: 242 citing papers, 1.9% of this breakdown
0%28.6%Other 20.3%

Fields

  • Engineering77.4%
  • Computer Science11.1%
  • Chemical Engineering5.6%
  • Physics and Astronomy1.4%
  • Materials Science1.2%
  • Neuroscience1%
  • Other2.3%

Topics

  • Advanced Memory and Neural Computing27.7%
  • Ferroelectric and Negative Capacitance Devices11.3%
  • Neuroscience and Neural Engineering11%
  • Photoreceptor and optogenetics research5.7%
  • Neural dynamics and brain function5.6%
  • Neural Networks and Reservoir Computing5.4%
  • Other33.3%

Coauthors

All papers

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  1. Fully hardware-implemented memristor convolutional neural network

    Authors: , , , , , , , - Nature 2020 cited by 2,174

  2. Memristive crossbar arrays for brain-inspired computing

    Authors: , - Nature Materials 2019 cited by 1,711

  3. Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing

    Authors: , , , , , , , , , , , , , , , , - Nature Materials 2016 cited by 2,299

  4. Memristive devices for computing

    Authors: , , - Nature Nanotechnology 2012 cited by 3,767

  5. Efficient Ammonia Electrosynthesis from Nitrate on Strained Ruthenium Nanoclusters

    Authors: , , , , , , , , , , , , , , , , , , - Journal of the American Chemical Society 2020 cited by 1,076

  6. Thousands of conductance levels in memristors integrated on CMOS

    Authors: , , , , , , , , , , , , , , , , , , , , , , - Nature 2023 cited by 451

  7. Resistive switching materials for information processing

    Authors: , , , , , , - Nature Reviews Materials 2020 cited by 1,183

  8. Analogue signal and image processing with large memristor crossbars

    Authors: , , , , , , , , , , , , , , , , , , - Nature Electronics 2017 cited by 1,265

  9. Hardware implementation of memristor-based artificial neural networks

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Mario Lanza - Nature Communications 2024 cited by 414

  10. Fully memristive neural networks for pattern classification with unsupervised learning

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - Nature Electronics 2018 cited by 1,092

  11. Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals, Progress, and Challenges

    Authors: , , , , , , , , , , , , , , , - Advanced Materials 2019 cited by 814

  12. Efficient and self-adaptive in-situ learning in multilayer memristor neural networks

    Authors: , , , , , , , , , , , , , , , , - Nature Communications 2018 cited by 903

  13. Power-efficient combinatorial optimization using intrinsic noise in memristor Hopfield neural networks

    Authors: , , , , , , , , , , , , , - Nature Electronics 2020 cited by 397

  14. 'Memristive' switches enable 'stateful' logic operations via material implication

    Authors: , , , , , - Nature, Nat. 2010 cited by 1,936

  15. An artificial nociceptor based on a diffusive memristor

    Authors: , , , , , , , - Nature Communications 2018 cited by 511

  16. Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing

    Authors: , , , , , , , , , , , - Science 2019 cited by 745

  17. An artificial spiking afferent nerve based on Mott memristors for neurorobotics

    Authors: , , , , , , , , , , , , , , , , - Nature Communications 2020 cited by 385

  18. Recent Advances and Future Prospects for Memristive Materials, Devices, and Systems

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Dmitri B. Strukov, Hang Wong, Ilia Valov, Bin Gao, Huaqiang Wu, Ronald Tetzlaff, Abu Sebastian, Wei Lü, Leon O. Chua, J. Joshua Yang, Jeehwan Kim - ACS Nano 2023 cited by 268

  19. Memristor‐Based Analog Computation and Neural Network Classification with a Dot Product Engine

    Authors: , , , , , , , , , , , - Advanced Materials 2018 cited by 738

  20. Reservoir Computing Using Diffusive Memristors

    Authors: , , , , , , , , , - Advanced Intelligent Systems, Adv. Intell. Syst. 2019 cited by 271

  21. Review of memristor devices in neuromorphic computing: materials sciences and device challenges

    Authors: , , , , - Journal of Physics D Applied Physics 2018 cited by 549

  22. Gate-tunable van der Waals heterostructure for reconfigurable neural network vision sensor

    Authors: , , , , , , , , , , , , , , , , , , , , , - Science Advances 2020 cited by 430

  23. Memristive switching mechanism for metal/oxide/metal nanodevices

    Authors: , , , , , - Nature Nanotechnology 2008 cited by 2,959

  24. Emerging Memory Devices for Neuromorphic Computing

    Authors: , , , , , - Advanced Materials Technologies 2019 cited by 530