Lei Deng

Active 1993–2026

Also published as
Lei DENG · Lei, Deng
914
Papers
45,577
Citations
100
h-index
522
i10-index

Citations

Citations per year for Lei Deng1979: 1 citations1992: 2 citations1993: 1 citations1994: 3 citations1995: 2 citations1996: 7 citations1997: 8 citations1998: 15 citations1999: 8 citations2000: 1 citations2001: 8 citations2002: 5 citations2003: 3 citations2004: 6 citations2005: 10 citations2006: 29 citations2007: 46 citations2008: 64 citations2009: 51 citations2010: 66 citations2011: 56 citations2012: 69 citations2013: 146 citations2014: 194 citations2015: 197 citations2016: 267 citations2017: 358 citations2018: 535 citations2019: 1,117 citations2020: 1,739 citations2021: 2,425 citations2022: 2,448 citations2023: 2,607 citations2024: 3,410 citations2025: 2,659 citations2026: 522 citations2027: 2 citations1980–1991: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 7,872 citing papers, 36% of this breakdownUnited States: 3,366 citing papers, 15.4% of this breakdownUnited Kingdom: 868 citing papers, 4% of this breakdownGermany: 670 citing papers, 3.1% of this breakdownIndia: 575 citing papers, 2.6% of this breakdownCanada: 548 citing papers, 2.5% of this breakdownItaly: 547 citing papers, 2.5% of this breakdownSouth Korea: 525 citing papers, 2.4% of this breakdownAustralia: 496 citing papers, 2.3% of this breakdownFrance: 397 citing papers, 1.8% of this breakdownHong Kong: 395 citing papers, 1.8% of this breakdownJapan: 391 citing papers, 1.8% of this breakdown
0%36%Other 23.8%

Fields

  • Computer Science25.1%
  • Engineering23.8%
  • Biochemistry, Genetics and Molecular Biology20.3%
  • Medicine13.1%
  • Agricultural and Biological Sciences3.9%
  • Immunology and Microbiology3.4%
  • Other10.4%

Topics

  • Advanced Memory and Neural Computing4.8%
  • Quantum Information and Cryptography2.3%
  • Ferroelectric and Negative Capacitance Devices2.1%
  • Neural dynamics and brain function2%
  • Neural Networks and Reservoir Computing1.8%
  • Computational Drug Discovery Methods1.5%
  • Other85.5%

Coauthors

All papers

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  1. Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks

    Authors: , , , , - Frontiers in Neuroscience 2018 cited by 1,147

  2. Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey

    Authors: , , , , - IEEE, Proc. IEEE 2020 cited by 927

  3. Towards artificial general intelligence with hybrid Tianjic chip architecture

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - Nature 2019 cited by 1,080

  4. Going Deeper With Directly-Trained Larger Spiking Neural Networks

    Authors: , , , , - AAAI Conference on Artificial Intelligence 2021 cited by 495

  5. Direct Training for Spiking Neural Networks: Faster, Larger, Better

    Authors: , , , , , - AAAI Conference on Artificial Intelligence 2019 cited by 649

  6. Satellite-to-ground quantum key distribution

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Rong Shu, Cheng-Zhi Peng, Jianyu Wang, Jian-Wei Pan - Nature 2017 cited by 1,824

  7. Rethinking the performance comparison between SNNS and ANNS

    Authors: , , , , , , , , - Neural Networks 2019 cited by 333

  8. Entanglement-based secure quantum cryptography over 1,120 kilometres

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - Nature 2020 cited by 762

  9. A population-based study of cardiovascular disease mortality risk in US cancer patients

    Authors: , , , , , , , - European Heart Journal 2019 cited by 902

  10. Safety and feasibility of CRISPR-edited T cells in patients with refractory non-small-cell lung cancer

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Xuefeng Xia, Yong Zeng, Qiao Zhou, Binwu Ying, Chong Chen, Yuquan Wei, Weimin Li, Tony Mok - Nature Medicine 2020 cited by 537

  11. Advancing Spiking Neural Networks Toward Deep Residual Learning

    Authors: , , , , - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2024 cited by 122

  12. Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation

    Authors: , , , , , , , , , , , , , , , - IEEE Journal of Solid-State Circuits, IEEE J. Solid State Circuits 2020 cited by 187

  13. Satellite-Relayed Intercontinental Quantum Network

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Rupert Ursin, Thomas Scheidl, Cheng-Zhi Peng, Jianyu Wang, Anton Zeilinger, Jian-Wei Pan - Physical Review Letters 2018 cited by 796

  14. Power-efficient neural network with artificial dendrites

    Authors: , , , , , , , , , , , , , - Nature Nanotechnology 2020 cited by 253

  15. Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip

    Authors: , , , , , , , , , , , , , , , , , - Nature Communications 2024 cited by 107

  16. UAV-based multispectral remote sensing for precision agriculture: A comparison between different cameras

    Authors: , , , , , - ISPRS Journal of Photogrammetry and Remote Sensing 2018 cited by 491

  17. DrugCombDB: a comprehensive database of drug combinations toward the discovery of combinatorial therapy

    Authors: , , , , , - Nucleic Acids Research, Nucleic Acids Res. 2019 cited by 244

  18. SpaceA: Sparse Matrix Vector Multiplication on Processing-in-Memory Accelerator

    Authors: , , , , , , , - IEEE International Symposium on High-Performance Computer Architecture (HPCA) 2021 cited by 104

  19. Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics

    Authors: , , , , , , , , - Nature Communications 2024 cited by 102

  20. DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural Hints

    Authors: , , , , , , , , , , - Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems, ASPLOS 2020 cited by 122

  21. Triglyceride breakdown from lipid droplets regulates the inflammatory response in macrophages

    Authors: , , , , , , , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2022 cited by 154

  22. Structure-based prediction of protein–protein interactions on a genome-wide scale

    Authors: , , , , , , , , , , , , - Nature 2012 cited by 752

  23. MvMRL: a multi-view molecular representation learning method for molecular property prediction

    Authors: , , , , , , - Briefings in Bioinformatics, Briefings Bioinform. 2024 cited by 87

  24. Satellite-to-Ground Entanglement-Based Quantum Key Distribution

    Authors: , , , , , , , , , , , , , , , , , , , , , - Physical Review Letters 2017 cited by 266