Peng Yao

7.3k total citations · 6 hit papers
93 papers, 5.5k citations indexed

About

Peng Yao is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Peng Yao has authored 93 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Electrical and Electronic Engineering, 16 papers in Cellular and Molecular Neuroscience and 15 papers in Artificial Intelligence. Recurrent topics in Peng Yao's work include Advanced Memory and Neural Computing (67 papers), Ferroelectric and Negative Capacitance Devices (50 papers) and Semiconductor materials and devices (16 papers). Peng Yao is often cited by papers focused on Advanced Memory and Neural Computing (67 papers), Ferroelectric and Negative Capacitance Devices (50 papers) and Semiconductor materials and devices (16 papers). Peng Yao collaborates with scholars based in China, United States and Singapore. Peng Yao's co-authors include Bin Gao, Huaqiang Wu, He Qian, Wenqiang Zhang, Jianshi Tang, Qingtian Zhang, J. Joshua Yang, Shimeng Yu, Ning Deng and Meng‐Fan Chang and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Peng Yao

83 papers receiving 5.4k citations

Hit Papers

Fully hardware-implemented memristor convolutional neural... 2017 2026 2020 2023 2020 2017 2020 2023 2022 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Fully hardware-implemented memristor convolutional neural network
    2020 1.6k citations Peng Yao, Huaqiang Wu et al. profile →
  2. Face classification using electronic synapses
    2017 764 citations Peng Yao, Huaqiang Wu et al. Nature Communications profile →
  3. Neuro-inspired computing chips
    2020 652 citations Wenqiang Zhang, Bin Gao et al. Nature Electronics profile →
  4. Edge learning using a fully integrated neuro-inspired memristor chip
    2023 230 citations Wenbin Zhang, Peng Yao et al. Science profile →
  5. A memristor-based analogue reservoir computing system for real-time and power-efficient signal processing
    2022 221 citations Ya‐Nan Zhong, Jianshi Tang et al. Nature Electronics profile →
  6. A memristor-based adaptive neuromorphic decoder for brain–computer interfaces
    2025 27 citations Zhengwu Liu, Jianshi Tang et al. Nature Electronics profile →

Peers

Peng Yao
Bryan L. Jackson United States
Wenqiang Zhang China
Wenhao Song United States
Ning Ge China
Qingtian Zhang China
Steven K. Esser United States
Irem Boybat Switzerland
Nabil Imam United States
Pritish Narayanan United States
Filipp Akopyan United States
Bryan L. Jackson United States
Peng Yao
Citations per year, relative to Peng Yao Peng Yao (= 1×) peers Bryan L. Jackson

Countries citing papers authored by Peng Yao

Since Specialization
Citations

This map shows the geographic impact of Peng Yao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peng Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Yao more than expected).

Fields of papers citing papers by Peng Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peng Yao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peng Yao. The network helps show where Peng Yao may publish in the future.

Co-authorship network of co-authors of Peng Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Yao. A scholar is included among the top collaborators of Peng Yao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peng Yao. Peng Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Xueqi, Bin Gao, Qi Qin, et al.. (2025). Federated learning using a memristor compute-in-memory chip with in situ physical unclonable function and true random number generator. Nature Electronics. 8(6). 518–528. 4 indexed citations
2.
Yao, Peng, Qi Qin, Bin Gao, et al.. (2025). A RRAM-Based CIM Design With in-Situ Transposable Computing and Hybrid-Precision Scheme for Edge Learning. IEEE Solid-State Circuits Letters. 8. 205–208.
3.
Wang, Ze, Zhiping Jia, Tianhao Yang, et al.. (2025). A dual-domain compute-in-memory system for general neural network inference. Nature Electronics. 8(3). 276–287. 7 indexed citations
4.
Liu, Zhengwu, Jianshi Tang, Minpeng Xu, et al.. (2025). A memristor-based adaptive neuromorphic decoder for brain–computer interfaces. Nature Electronics. 8(4). 362–372. 27 indexed citations breakdown →
5.
Yao, Peng, Bin Gao, & Huaqiang Wu. (2024). Transforming edge hardware with in situ learning features. 1(3). 141–142. 2 indexed citations
6.
Yao, Peng, Dong Wu, Lu Jie, et al.. (2024). A 28-nm Static-Power-Free Fully Parallel RRAM-Based TD CIM Macro With 1982 TOPS/W/Bit for Edge Applications. IEEE Solid-State Circuits Letters. 8. 21–24.
7.
Zhang, Qingtian, Bin Gao, Jianshi Tang, et al.. (2023). Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning. Nature Machine Intelligence. 5(7). 714–723. 29 indexed citations
8.
Zhang, Wenbin, Peng Yao, Bin Gao, et al.. (2023). Edge learning using a fully integrated neuro-inspired memristor chip. Science. 381(6663). 1205–1211. 230 indexed citations breakdown →
9.
Hu, Qi, Bin Gao, Jianshi Tang, et al.. (2023). Relaxation Signal Analysis and Optimization of Analog Resistive Random Access Memory for Neuromorphic Computing. IEEE Transactions on Electron Devices. 71(1). 560–566. 3 indexed citations
10.
11.
He, Hu, Liyang Pan, Bin Gao, et al.. (2023). An Error-Free 64KB ReRAM-Based nvSRAM Integrated to a Microcontroller Unit Supporting Real-Time Program Storage and Restoration. IEEE Transactions on Circuits and Systems I Regular Papers. 70(12). 5339–5351. 3 indexed citations
12.
Zhao, Han, Zhengwu Liu, Jianshi Tang, et al.. (2023). Energy-efficient high-fidelity image reconstruction with memristor arrays for medical diagnosis. Nature Communications. 14(1). 2276–2276. 46 indexed citations
13.
Liang, Xiangpeng, Ya‐Nan Zhong, Jianshi Tang, et al.. (2022). Rotating neurons for all-analog implementation of cyclic reservoir computing. Nature Communications. 13(1). 1549–1549. 88 indexed citations
14.
Gao, Bin, Ying Zhou, Qingtian Zhang, et al.. (2022). Memristor-based analogue computing for brain-inspired sound localization with in situ training. Nature Communications. 13(1). 2026–2026. 89 indexed citations
15.
Zhong, Ya‐Nan, Jianshi Tang, Xinyi Li, et al.. (2022). A memristor-based analogue reservoir computing system for real-time and power-efficient signal processing. Nature Electronics. 5(10). 672–681. 221 indexed citations breakdown →
16.
Liu, Yuyi, Meiran Zhao, Bin Gao, et al.. (2021). Compact Reliability Model of Analog RRAM for Computation-in-Memory Device-to-System Codesign and Benchmark. IEEE Transactions on Electron Devices. 68(6). 2686–2692. 11 indexed citations
17.
Hu, Wei, Fanju Zeng, Hao Lin, et al.. (2020). Investigation of physically transient resistive switching memory based on GeO2 thin films. Applied Physics Letters. 117(19). 12 indexed citations
18.
Liu, Zhengwu, Jianshi Tang, Bin Gao, et al.. (2020). Neural signal analysis with memristor arrays towards high-efficiency brain–machine interfaces. Nature Communications. 11(1). 4234–4234. 135 indexed citations
19.
Zhang, Wenqiang, Bin Gao, Jianshi Tang, et al.. (2020). Neuro-inspired computing chips. Nature Electronics. 3(7). 371–382. 652 indexed citations breakdown →
20.
Yao, Peng, Huaqiang Wu, Bin Gao, Zhang Guo, & He Qian. (2015). The effect of variation on neuromorphic network based on 1T1R memristor array. 1–3. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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