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Shimeng Yu

2010–2026 年に発表

306
論文数
25,294
被引用数
66
h 指数
183
i10 指数

被引用数

Shimeng Yu の年別被引用数1983 年: 被引用 1 件1987 年: 被引用 2 件2003 年: 被引用 3 件2011 年: 被引用 17 件2012 年: 被引用 47 件2013 年: 被引用 97 件2014 年: 被引用 134 件2015 年: 被引用 258 件2016 年: 被引用 409 件2017 年: 被引用 477 件2018 年: 被引用 773 件2019 年: 被引用 1,179 件2020 年: 被引用 1,518 件2021 年: 被引用 1,660 件2022 年: 被引用 1,742 件2023 年: 被引用 1,636 件2024 年: 被引用 1,699 件2025 年: 被引用 1,261 件2026 年: 被引用 243 件1984〜1986 年は被引用が無いため表示していません1988〜2002 年は被引用が無いため表示していません2004〜2010 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図中国: 引用元論文 2,592 件、この内訳の 25.5%アメリカ合衆国: 引用元論文 2,435 件、この内訳の 23.9%韓国: 引用元論文 911 件、この内訳の 8.9%ドイツ: 引用元論文 481 件、この内訳の 4.7%シンガポール: 引用元論文 357 件、この内訳の 3.5%インド: 引用元論文 343 件、この内訳の 3.4%台湾: 引用元論文 316 件、この内訳の 3.1%イギリス: 引用元論文 252 件、この内訳の 2.5%イタリア: 引用元論文 247 件、この内訳の 2.4%香港: 引用元論文 242 件、この内訳の 2.4%フランス: 引用元論文 210 件、この内訳の 2.1%日本: 引用元論文 189 件、この内訳の 1.9%
0%25.5%その他 15.7%

機関

分野

  • Engineering81.1%
  • Computer Science15.6%
  • Physics and Astronomy0.9%
  • Neuroscience0.7%
  • Materials Science0.6%
  • Medicine0.3%
  • その他0.8%

トピック

  • Advanced Memory and Neural Computing28.5%
  • Ferroelectric and Negative Capacitance Devices15.6%
  • Neuroscience and Neural Engineering8.2%
  • Photoreceptor and optogenetics research4.6%
  • Neural Networks and Reservoir Computing4.5%
  • Semiconductor materials and devices3.9%
  • その他34.7%

共著者

全論文

検索で開く
  1. Optoelectronic resistive random access memory for neuromorphic vision sensors

    著者: Feichi Zhou, Zheng Zhou, Jiewei Chen, Tsz Hin Choy, Jingli Wang, Ning Zhang, Ziyuan Lin, Shimeng Yu, Jinfeng Kang, H.‐S. Philip Wong, Yang Chai - Nature Nanotechnology 2019 被引用: 1,285

  2. Neuro-inspired computing chips

    著者: Wenqiang Zhang, Bin Gao, Jianshi Tang, Peng Yao, Shimeng Yu, Meng‐Fan Chang, Hoi‐Jun Yoo, He Qian, Huaqiang Wu - Nature Electronics 2020 被引用: 874

  3. Compute-in-Memory Chips for Deep Learning: Recent Trends and Prospects

    著者: Shimeng Yu, Hongwu Jiang, Shanshi Huang, Xiaochen Peng, Anni Lu - IEEE Circuits and Systems Magazine 2021 被引用: 359

  4. NeuroSim: A Circuit-Level Macro Model for Benchmarking Neuro-Inspired Architectures in Online Learning

    著者: Pai-Yu Chen, Xiaochen Peng, Shimeng Yu - IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2018 被引用: 632

  5. Metal-Oxide RRAM

    著者: H.-S. Philip Wong, Heng-Yuan Lee, Shimeng Yu, Yu-Sheng Chen, Yi Wu, Pang-Shiu Chen, Byoungil Lee, Frederick T. Chen, Ming-Jinn Tsai - IEEE, Proc. IEEE 2012 被引用: 2,665

  6. Neuro-Inspired Computing With Emerging Nonvolatile Memorys

    著者: Shimeng Yu - IEEE, Proc. IEEE 2018 被引用: 1,118

  7. DNN+NeuroSim: An End-to-End Benchmarking Framework for Compute-in-Memory Accelerators with Versatile Device Technologies

    著者: Xiaochen Peng, Shanshi Huang, Yandong Luo, Xiaoyu Sun, Shimeng Yu - IEEE International Electron Devices Meeting (IEDM) 2019 被引用: 341

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

    著者: Fuxi Cai, Suhas Kumar, Thomas Van Vaerenbergh, Xia Sheng, Rui Liu, Can Li, Zhan Liu, Martin Foltín, Shimeng Yu, Qiangfei Xia, J. Joshua Yang, Raymond G. Beausoleil, Wei Lü, John Paul Strachan - Nature Electronics 2020 被引用: 397

  9. Synaptic electronics: materials, devices and applications

    著者: Duygu Kuzum, Shimeng Yu, H-S Philip Wong - Nanotechnology 2013 被引用: 1,244

  10. A Twin-8T SRAM Computation-in-Memory Unit-Macro for Multibit CNN-Based AI Edge Processors

    著者: Xin Si, Rui Liu, Shimeng Yu, Ren-Shuo Liu, Chih-Cheng Hsieh, Kea-Tiong Tang, Qiang Li, Meng-Fan Chang, Jia-Jing Chen, Yung-Ning Tu, Wei-Hsing Huang, Jing-Hong Wang, Yen-Cheng Chiu, Wei-Chen Wei, Ssu-Yen Wu, Xiaoyu Sun - IEEE Journal of Solid-State Circuits, IEEE J. Solid State Circuits 2019 被引用: 220

  11. SiGe epitaxial memory for neuromorphic computing with reproducible high performance based on engineered dislocations

    著者: Shinhyun Choi, Scott H. Tan, Zefan Li, Yunjo Kim, Chanyeol Choi, Pai-Yu Chen, Han‐Wool Yeon, Shimeng Yu, Jeehwan Kim - Nature Materials 2018 被引用: 685

  12. NeuroSim+: An integrated device-to-algorithm framework for benchmarking synaptic devices and array architectures

    著者: Pai-Yu Chen, Xiaochen Peng, Shimeng Yu - IEEE International Electron Devices Meeting (IEDM) 2017 被引用: 421

  13. RRAM for Compute-in-Memory: From Inference to Training

    著者: Shimeng Yu, Wonbo Shim, Xiaochen Peng, Yandong Luo - IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Trans. Circuits Syst. I Regul. Pap. 2021 被引用: 129

  14. A Compact Model for Metal–Oxide Resistive Random Access Memory With Experiment Verification

    著者: Zizhen Jiang, Yi Wu, Shimeng Yu, Lin Yang, Kay Song, Zia Karim, H.‐S. Philip Wong - IEEE Transactions on Electron Devices 2016 被引用: 263

  15. Emerging Memory Technologies: Recent Trends and Prospects

    著者: Shimeng Yu, Pai-Yu Chen - IEEE Solid-State Circuits Magazine 2016 被引用: 539

  16. Two-Way Transpose Multibit 6T SRAM Computing-in-Memory Macro for Inference-Training AI Edge Chips

    著者: Jian-Wei Su, Xin Si, Yen-Chi Chou, Ting-Wei Chang, Wei-Hsing Huang, Yung-Ning Tu, Ruhui Liu, Pei-Jung Lu, Ta-Wei Liu, Jing-Hong Wang, Yen-Lin Chung, Jin-Sheng Ren, Fu-Chun Chang, Yuan Wu, Hongwu Jiang, Shanshi Huang, Sih-Han Li, Shyh-Shyuan Sheu, Chih-I Wu, Chung-Chuan Lo, Ren-Shuo Liu, Chih-Cheng Hsieh, Kea-Tiong Tang, Shimeng Yu, Meng-Fan Chang - IEEE Journal of Solid-State Circuits, IEEE J. Solid State Circuits 2021 被引用: 69

  17. High-Throughput In-Memory Computing for Binary Deep Neural Networks With Monolithically Integrated RRAM and 90-nm CMOS

    著者: Shihui Yin, Xiaoyu Sun, Shimeng Yu, Jae-sun Seo - IEEE Transactions on Electron Devices 2020 被引用: 162

  18. 15.2 A 28nm 64Kb Inference-Training Two-Way Transpose Multibit 6T SRAM Compute-in-Memory Macro for AI Edge Chips

    著者: Jian-Wei Su, Xin Si, Yen-Chi Chou, Ting-Wei Chang, Wei-Hsing Huang, Yung-Ning Tu, Ruhui Liu, Pei-Jung Lu, Ta-Wei Liu, Jing-Hong Wang, Zhixiao Zhang, Hongwu Jiang, Shanshi Huang, Chung-Chuan Lo, Ren-Shuo Liu, Chih-Cheng Hsieh, Kea-Tiong Tang, Shyh-Shyuan Sheu, Sih-Han Li, Heng-Yuan Lee, Shih-Chieh Chang, Shimeng Yu, Meng-Fan Chang - IEEE International Solid- State Circuits Conference - (ISSCC) 2020 被引用: 181

  19. Compact Modeling of RRAM Devices and Its Applications in 1T1R and 1S1R Array Design

    著者: Pai-Yu Chen, Shimeng Yu - IEEE Transactions on Electron Devices 2015 被引用: 353

  20. Ferroelectric FET analog synapse for acceleration of deep neural network training

    著者: Matthew Jerry, Pai-Yu Chen, Jianchi Zhang, Pankaj Sharma, Kai Ni, Shimeng Yu, Suman Datta - IEEE International Electron Devices Meeting (IEDM) 2017 被引用: 571

  21. A 65nm 4Kb algorithm-dependent computing-in-memory SRAM unit-macro with 2.3ns and 55.8TOPS/W fully parallel product-sum operation for binary DNN edge processors

    著者: Win-San Khwa, Jia-Jing Chen, Jia-Fang Li, Xin Si, En-Yu Yang, Xiaoyu Sun, Rui Liu, Pai-Yu Chen, Qiang Li, Shimeng Yu, Meng-Fan Chang - IEEE International Solid - State Circuits Conference - (ISSCC) 2018 被引用: 245

  22. Optimizing Weight Mapping and Data Flow for Convolutional Neural Networks on Processing-in-Memory Architectures

    著者: Xiaochen Peng, Rui Liu, Shimeng Yu - IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Trans. Circuits Syst. I Fundam. Theory Appl. 2019 被引用: 98

  23. A Twin-8T SRAM Computation-In-Memory Macro for Multiple-Bit CNN-Based Machine Learning

    著者: Xin Si, Jia-Jing Chen, Yung-Ning Tu, Wei-Hsing Huang, Jing-Hong Wang, Yen-Cheng Chiu, Wei-Chen Wei, Ssu-Yen Wu, Xiaoyu Sun, Rui Liu, Shimeng Yu, Ren-Shuo Liu, Chih-Cheng Hsieh, Kea-Tiong Tang, Qiang Li, Meng-Fan Chang - IEEE International Solid- State Circuits Conference - (ISSCC) 2019 被引用: 252

  24. A Dual-Split 6T SRAM-Based Computing-in-Memory Unit-Macro With Fully Parallel Product-Sum Operation for Binarized DNN Edge Processors

    著者: Xin Si, Win-San Khwa, Jia-Jing Chen, Jia-Fang Li, Xiaoyu Sun, Rui Liu, Shimeng Yu, Hiroyuki Yamauchi, Qiang Li, Meng-Fan Chang - IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Trans. Circuits Syst. I Regul. Pap. 2019 被引用: 150