Peng Yao

7.3k citations

93 papers · 5.5k indexed · 6 hit papers · h-index 28

Electrical and Electronic Engineering top 0.5%
Cellular and Molecular Neuroscience top 1%
Artificial Intelligence top 1%
Cognitive Neuroscience top 2%
Polymers and Plastics top 2%

Co-authors: Bin Gao Huaqiang Wu He Qian Wenqiang Zhang Jianshi Tang Qingtian Zhang J. Joshua Yang Shimeng Yu
Topics: Advanced Memory and Neural Computing (67 papers)Ferroelectric and Negative Capacitance Devices (50 papers)Semiconductor materials and devices (16 papers)
Cited by: Cellular and Molecular Neuroscience Electrical and Electronic Engineering Cognitive Neuroscience
Journals: Nature Science Nature Communications
Partner nations: China United States Singapore

In The Last Decade

Peng Yao

83 papers receiving 5.4k citations

Hit Papers

5 papers align trajectories

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.

Fully hardware-implemented memristor convolutional neural network

2020 1.6k citations Peng Yao, Huaqiang Wu et al. profile →
Face classification using electronic synapses

2017 764 citations Peng Yao, Huaqiang Wu et al. Nature Communications profile →
Neuro-inspired computing chips

2020 652 citations Wenqiang Zhang, Bin Gao et al. Nature Electronics profile →
Edge learning using a fully integrated neuro-inspired memristor chip

2023 230 citations Wenbin Zhang, Peng Yao et al. Science profile →
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 →
A memristor-based adaptive neuromorphic decoder for brain–computer interfaces

2025 27 citations Zhengwu Liu, Jianshi Tang et al. Nature Electronics profile →

Peers

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

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20 of 20 papers shown

#	Work	Indexed citations
1	Federated learning using a memristor compute-in-memory chip with in situ physical unclonable function and true random number generator 2025 ·Nature Electronics ·Xueqi Li,Bin Gao,Qi Qin,Peng Yao,Jiaming Li,Han Zhao,(unknown),Qingtian Zhang,Zhenqi Hao,(unknown),(unknown),(unknown),Jie Yang,Jianshi Tang,(unknown),Xiaobing Yan,He Qian,Huaqiang Wu	4
2	A RRAM-Based CIM Design With in-Situ Transposable Computing and Hybrid-Precision Scheme for Edge Learning 2025 ·IEEE Solid-State Circuits Letters ·(unknown),Peng Yao,(unknown),Qi Qin,Bin Gao,Qingtian Zhang,Sining Pan,Jianshi Tang,He Qian,Lu Jie,Huaqiang Wu	0
3	A dual-domain compute-in-memory system for general neural network inference 2025 ·Nature Electronics ·Ze Wang,(unknown),Zhiping Jia,(unknown),Tianhao Yang,Bin Gao,(unknown),(unknown),Zhenqi Hao,(unknown),(unknown),Peng Yao,Jianshi Tang,Qi Liu,He Qian,Huaqiang Wu	7
4	A memristor-based adaptive neuromorphic decoder for brain–computer interfacesbreakdown → 2025 ·Nature Electronics ·Zhengwu Liu,(unknown),Jianshi Tang,Minpeng Xu,Bin Gao,Kun Wang,Shichuan Ding,Qi Liu,Qi Qin,(unknown),Yue Xi,Yijun Li,Peng Yao,Han Zhao,Ngai Wong,He Qian,Bo Hong,Tzyy‐Ping Jung,Dong Ming,Huaqiang Wu	27
5	Transforming edge hardware with in situ learning features 2024 ·Peng Yao,Bin Gao,Huaqiang Wu	2
6	A 28-nm Static-Power-Free Fully Parallel RRAM-Based TD CIM Macro With 1982 TOPS/W/Bit for Edge Applications 2024 ·IEEE Solid-State Circuits Letters ·(unknown),Peng Yao,(unknown),Dong Wu,Lu Jie,Qi Qin,Bin Gao,Jianshi Tang,He Qian,Sining Pan,Huaqiang Wu	0
7	Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning 2023 ·Nature Machine Intelligence ·(unknown),Qingtian Zhang,Bin Gao,Jianshi Tang,Peng Yao,Chongxuan Li,Shiyu Huang,Zhengwu Liu,Ying Zhou,Yuyi Liu,Wenqiang Zhang,Jun Zhu,He Qian,Huaqiang Wu	29
8	Edge learning using a fully integrated neuro-inspired memristor chipbreakdown → 2023 ·Science ·Wenbin Zhang,Peng Yao,Bin Gao,Qi Liu,Dong Wu,Qingtian Zhang,Yuankun Li,Qi Qin,Jiaming Li,Zhenhua Zhu,Yi Cai,(unknown),Jianshi Tang,He Qian,Yu Wang,Huaqiang Wu	230
9	Relaxation Signal Analysis and Optimization of Analog Resistive Random Access Memory for Neuromorphic Computing 2023 ·IEEE Transactions on Electron Devices ·(unknown),Qi Hu,Bin Gao,Jianshi Tang,Feng Xu,Yuyao Lu,Peng Yao,Yue Xi,He Qian,Huaqiang Wu	3
10	A Spatial-Designed Computing-In-Memory Architecture Based on Monolithic 3D Integration for High-Performance Systems 2023 ·Jiaming Li,Bin Gao,(unknown),Peng Yao,Jianshi Tang,He Qian,Huaqiang Wu	0
11	An Error-Free 64KB ReRAM-Based nvSRAM Integrated to a Microcontroller Unit Supporting Real-Time Program Storage and Restoration 2023 ·IEEE Transactions on Circuits and Systems I Regular Papers ·(unknown),Hu He,Liyang Pan,Bin Gao,Jianshi Tang,Sining Pan,(unknown),Peng Yao,Dabin Wu,He Qian,Huaqiang Wu	3
12	Energy-efficient high-fidelity image reconstruction with memristor arrays for medical diagnosis 2023 ·Nature Communications ·Han Zhao,Zhengwu Liu,Jianshi Tang,Bin Gao,Qi Qin,Jiaming Li,Ying Zhou,Peng Yao,Yue Xi,(unknown),He Qian,Huaqiang Wu	46
13	Rotating neurons for all-analog implementation of cyclic reservoir computing 2022 ·Nature Communications ·Xiangpeng Liang,Ya‐Nan Zhong,Jianshi Tang,Zhengwu Liu,Peng Yao,(unknown),Qingtian Zhang,Bin Gao,Hadi Heidari,He Qian,Huaqiang Wu	88
14	Memristor-based analogue computing for brain-inspired sound localization with in situ training 2022 ·Nature Communications ·Bin Gao,Ying Zhou,Qingtian Zhang,Shuanglin Zhang,Peng Yao,Yue Xi,Qi Liu,Meiran Zhao,Wenqiang Zhang,Zhengwu Liu,Xinyi Li,Jianshi Tang,He Qian,Huaqiang Wu	89
15	A memristor-based analogue reservoir computing system for real-time and power-efficient signal processingbreakdown → 2022 ·Nature Electronics ·Ya‐Nan Zhong,Jianshi Tang,Xinyi Li,Xiangpeng Liang,Zhengwu Liu,Yijun Li,Yue Xi,Peng Yao,Zhenqi Hao,Bin Gao,He Qian,Huaqiang Wu	221
16	Compact Reliability Model of Analog RRAM for Computation-in-Memory Device-to-System Codesign and Benchmark 2021 ·IEEE Transactions on Electron Devices ·Yuyi Liu,Meiran Zhao,Bin Gao,Ruofei Hu,Wenqiang Zhang,(unknown),Peng Yao,Feng Xu,Yue Xi,Qingtian Zhang,Jianshi Tang,He Qian,Huaqiang Wu	11
17	Investigation of physically transient resistive switching memory based on GeO2 thin films 2020 ·Applied Physics Letters ·(unknown),Wei Hu,Fanju Zeng,Hao Lin,Liye Li,Ben Yang,Peng Yao,Daofu Wu,(unknown),Xiaosheng Tang	12
18	Neural signal analysis with memristor arrays towards high-efficiency brain–machine interfaces 2020 ·Nature Communications ·Zhengwu Liu,Jianshi Tang,Bin Gao,Peng Yao,Xinyi Li,Dingkun Liu,Ying Zhou,He Qian,Bo Hong,Huaqiang Wu	135
19	Neuro-inspired computing chipsbreakdown → 2020 ·Nature Electronics ·Wenqiang Zhang,Bin Gao,Jianshi Tang,Peng Yao,Shimeng Yu,Meng‐Fan Chang,Hoi‐Jun Yoo,He Qian,Huaqiang Wu	652
20	The effect of variation on neuromorphic network based on 1T1R memristor array 2015 ·Peng Yao,Huaqiang Wu,Bin Gao,Zhang Guo,He Qian	5

About Peng Yao

Peng Yao is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 93 papers that have together received 5.5k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (67 papers), Ferroelectric and Negative Capacitance Devices (50 papers) and Semiconductor materials and devices (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.8k citations), Electrical and Electronic Engineering (5.1k citations) and Cognitive Neuroscience (940 citations). Peng Yao has collaborated with scholars based in China, United States and Singapore. Frequent 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. Their work appears in journals such as Nature, Science and Nature Communications.

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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