Peng Yao

7.3k citations

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

Cellular and Molecular Neuroscience top 1%
- Neuroscience and Neural Engineering 15
Electrical and Electronic Engineering top 0.5%
- Advanced Memory and Neural Computing 67
- Ferroelectric and Negative Capacitance Devices 50
- Semiconductor materials and devices 16
- CCD and CMOS Imaging Sensors 9
Cognitive Neuroscience top 2%
- Neural dynamics and brain function 11
Artificial Intelligence top 1%
- Neural Networks and Reservoir Computing 7
- Machine Learning and ELM 5
Polymers and Plastics top 2%

Co-authors: Bin Gao Huaqiang Wu He Qian Wenqiang Zhang Jianshi Tang Qingtian Zhang J. Joshua Yang Shimeng Yu
Cited by: Cellular and Molecular Neuroscience Electrical and Electronic Engineering Cognitive Neuroscience
Journals: Nature (1 paper)Science (1 paper)Nature Communications (6 papers)
Partner nations: China United States Singapore

In The Last Decade

Peng Yao

83 papers receiving 5.4k citations

Hit Papers

6 papers align trajectories log scale

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.

2025 Nature Electronics
2023 Science
2022 Nature Electronics
2020 Nature
2020 Nature Electronics
2017 Nature Communications

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

The 25 scholars most cited alongside Peng Yao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peng Yao Line = papers co-authored together Peng Yao links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Federated learning using a memristor compute-in-memory chip with in situ physical unclonable function and true random number generator Nature Electronics ·Xueqi Li,Bin Gao,Qi Qin,Peng Yao,Jiaming Li,Han Zhao,Chenji Liu,Qingtian Zhang,Zhenqi Hao,Yang Li,Dequn Kong,Jikang Xu,Jie Yang,Jianshi Tang,Yawen Niu,Xiaobing Yan,He Qian,Huaqiang Wu	2025	4
2	A RRAM-Based CIM Design With in-Situ Transposable Computing and Hybrid-Precision Scheme for Edge Learning IEEE Solid-State Circuits Letters ·Qiumeng Wei,Peng Yao,Dong Wu,Qi Qin,Bin Gao,Qingtian Zhang,Sining Pan,Jianshi Tang,He Qian,Lu Jie,Huaqiang Wu	2025	0
3	A dual-domain compute-in-memory system for general neural network inference Nature Electronics ·Ze Wang,Ruihua Yu,Zhiping Jia,Zhifan He,Tianhao Yang,Bin Gao,Yang Li,Zhenping Hu,Zhenqi Hao,Yunrui Liu,Jiayue Lu,Peng Yao,Jianshi Tang,Qi Liu,He Qian,Huaqiang Wu	2025	7
4	A memristor-based adaptive neuromorphic decoder for brain–computer interfacesbreakdown → Nature Electronics ·Zhengwu Liu,Jie Mei,Jianshi Tang,Minpeng Xu,Bin Gao,Kun Wang,Shichuan Ding,Qi Liu,Qi Qin,Weize Chen,Yue Xi,Yijun Li,Peng Yao,Han Zhao,Ngai Wong,He Qian,Bo Hong,Tzyy‐Ping Jung,Dong Ming,Huaqiang Wu	2025	27
5	Transforming edge hardware with in situ learning features Peng Yao,Bin Gao,Huaqiang Wu	2024	2
6	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 ·Song-Tao Wei,Peng Yao,Xinying Guo,Dong Wu,Lu Jie,Qi Qin,Bin Gao,Jianshi Tang,He Qian,Sining Pan,Huaqiang Wu	2024	0
7	Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning Nature Machine Intelligence ·Yudeng Lin,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	2023	29
8	Edge learning using a fully integrated neuro-inspired memristor chipbreakdown → Science ·Wenbin Zhang,Peng Yao,Bin Gao,Qi Liu,Dong Wu,Qingtian Zhang,Yuankun Li,Qi Qin,Jiaming Li,Zhenhua Zhu,Yi Cai,Dabin Wu,Jianshi Tang,He Qian,Yu Wang,Huaqiang Wu	2023	230
9	Relaxation Signal Analysis and Optimization of Analog Resistive Random Access Memory for Neuromorphic Computing IEEE Transactions on Electron Devices ·Siyao Yang,Qi Hu,Bin Gao,Jianshi Tang,Feng Xu,Yuyao Lu,Peng Yao,Yue Xi,He Qian,Huaqiang Wu	2023	3
10	A Spatial-Designed Computing-In-Memory Architecture Based on Monolithic 3D Integration for High-Performance Systems Jiaming Li,Bin Gao,Ruihua Yu,Peng Yao,Jianshi Tang,He Qian,Huaqiang Wu	2023	0
11	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 ·Hanwen Gong,Hu He,Liyang Pan,Bin Gao,Jianshi Tang,Sining Pan,Jianing Li,Peng Yao,Dabin Wu,He Qian,Huaqiang Wu	2023	3
12	Energy-efficient high-fidelity image reconstruction with memristor arrays for medical diagnosis Nature Communications ·Han Zhao,Zhengwu Liu,Jianshi Tang,Bin Gao,Qi Qin,Jiaming Li,Ying Zhou,Peng Yao,Yue Xi,Yudeng Lin,He Qian,Huaqiang Wu	2023	46
13	Rotating neurons for all-analog implementation of cyclic reservoir computing Nature Communications ·Xiangpeng Liang,Ya‐Nan Zhong,Jianshi Tang,Zhengwu Liu,Peng Yao,Keyang Sun,Qingtian Zhang,Bin Gao,Hadi Heidari,He Qian,Huaqiang Wu	2022	88
14	Memristor-based analogue computing for brain-inspired sound localization with in situ training 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	2022	89
15	A memristor-based analogue reservoir computing system for real-time and power-efficient signal processingbreakdown → 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	2022	221
16	Compact Reliability Model of Analog RRAM for Computation-in-Memory Device-to-System Codesign and Benchmark IEEE Transactions on Electron Devices ·Yuyi Liu,Meiran Zhao,Bin Gao,Ruofei Hu,Wenqiang Zhang,Siyao Yang,Peng Yao,Feng Xu,Yue Xi,Qingtian Zhang,Jianshi Tang,He Qian,Huaqiang Wu	2021	11
17	Investigation of physically transient resistive switching memory based on GeO2 thin films Applied Physics Letters ·Julin Feng,Wei Hu,Fanju Zeng,Hao Lin,Liye Li,Ben Yang,Peng Yao,Daofu Wu,Benjun Huo,Xiaosheng Tang	2020	12
18	Neural signal analysis with memristor arrays towards high-efficiency brain–machine interfaces Nature Communications ·Zhengwu Liu,Jianshi Tang,Bin Gao,Peng Yao,Xinyi Li,Dingkun Liu,Ying Zhou,He Qian,Bo Hong,Huaqiang Wu	2020	135
19	Neuro-inspired computing chipsbreakdown → Nature Electronics ·Wenqiang Zhang,Bin Gao,Jianshi Tang,Peng Yao,Shimeng Yu,Meng‐Fan Chang,Hoi‐Jun Yoo,He Qian,Huaqiang Wu	2020	652
20	The effect of variation on neuromorphic network based on 1T1R memristor array Peng Yao,Huaqiang Wu,Bin Gao,Zhang Guo,He Qian	2015	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), Semiconductor materials and devices (16 papers), Neuroscience and Neural Engineering (15 papers), Neural dynamics and brain function (11 papers), CCD and CMOS Imaging Sensors (9 papers), Neural Networks and Reservoir Computing (7 papers) and Machine Learning and ELM (5 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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