Huaqiang Wu

25.0k citations
299 papers · 16.3k indexed · 13 hit papers · h-index 60
Co-authors
He QianBin GaoJianshi TangPeng YaoJ. Joshua YangWenqiang ZhangQingtian ZhangQiangfei Xia
Topics
Advanced Memory and Neural Computing (251 papers)Ferroelectric and Negative Capacitance Devices (179 papers)Semiconductor materials and devices (70 papers)
Cited by
Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringPolymers and Plastics
Journals
NatureScienceAdvanced Materials
Partner nations
ChinaUnited StatesSingapore

In The Last Decade

Huaqiang Wu

279 papers receiving 16.0k citations

Hit Papers

Fully hardware-implemented memristor convolutional neural...20172026202020232020202020172020201950010001.5k
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. Resistive switching materials for information processing
    2020 905 citations Huaqiang Wu et al. profile →
  3. Face classification using electronic synapses
    2017 764 citations Peng Yao, Huaqiang Wu et al. Nature Communications profile →
  4. Neuro-inspired computing chips
    2020 652 citations Wenqiang Zhang, Bin Gao et al. Nature Electronics profile →
  5. Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals, Progress, and Challenges
    2019 640 citations Jianshi Tang, Xinyi Li et al. Advanced Materials profile →
  6. A compute-in-memory chip based on resistive random-access memory
    2022 511 citations Weier Wan, Rajkumar Kubendran et al. profile →
  7. Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing
    2021 428 citations Ya‐Nan Zhong, Jianshi Tang et al. Nature Communications profile →
  8. An artificial nociceptor based on a diffusive memristor
    2018 419 citations Huaqiang Wu et al. Nature Communications profile →
  9. Understanding memristive switching via in situ characterization and device modeling
    2019 344 citations Wen Sun, Bin Gao et al. Nature Communications profile →
  10. Edge learning using a fully integrated neuro-inspired memristor chip
    2023 230 citations Wenbin Zhang, Peng Yao et al. Science profile →
  11. 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 →
  12. Physical reservoir computing with emerging electronics
    2024 101 citations Xiangpeng Liang, Jianshi Tang et al. Nature Electronics profile →
  13. A memristor-based adaptive neuromorphic decoder for brain–computer interfaces
    2025 27 citations Zhengwu Liu, Jianshi Tang et al. Nature Electronics profile →

Peers

Huaqiang Wu
Comparison fields: 5 of 124
  • Electrical and Electronic Engineering 14.8k
  • Cellular and Molecular Neuroscience 5.3k
  • Artificial Intelligence 3.1k
  • Polymers and Plastics 2.3k
  • Cognitive Neuroscience 2.2k
Replace Qiangfei Xia with:
Qiangfei Xia United States
Bin Gao China
Shimeng Yu United States
Dmitri B. Strukov United States
He Qian China
Abu Sebastian Switzerland
John Paul Strachan United States
Jianshi Tang China
Daniele Ielmini Italy
J. Joshua Yang United States
Huaqiang Wu relative to Qiangfei Xia United States Qiangfei Xia's profile →
Citations per field
00.5×1.7×
Qiangfei Xia · 1×
Citations per year

Countries citing papers authored by Huaqiang Wu

Since Specialization
Citations

This map shows the geographic impact of Huaqiang Wu'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 Huaqiang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huaqiang Wu more than expected).

Fields of papers citing papers by Huaqiang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Huaqiang Wu. 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 Huaqiang Wu. The network helps show where Huaqiang Wu may publish in the future.

Co-authorship network of co-authors of Huaqiang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Huaqiang Wu. A scholar is included among the top collaborators of Huaqiang Wu 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 Huaqiang Wu. Huaqiang Wu 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
#WorkIndexed 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
Low-power edge detection based on ferroelectric field-effect transistor
2025 ·Nature Communications ·Jiajia Chen,(unknown),(unknown),Bowen Chen,(unknown),(unknown),(unknown),(unknown),Gaobo Lin,Xiao Yu,(unknown),(unknown),Yan Liu,Jianshi Tang,Huaqiang Wu,Chengji Jin,Genquan Han
8
3
Physical reservoir computing with emerging electronicsbreakdown →
2024 ·Nature Electronics ·Xiangpeng Liang,Jianshi Tang,Ya‐Nan Zhong,Bin Gao,He Qian,Huaqiang Wu
101
4
Deep Bayesian active learning using in-memory computing hardware
2024 ·Nature Computational Science ·(unknown),Bin Gao,Jianshi Tang,Qingtian Zhang,(unknown),Huaqiang Wu
8
5
Transforming edge hardware with in situ learning features
2024 ·Peng Yao,Bin Gao,Huaqiang Wu
2
6
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
7
Monolithic three-dimensional integration of RRAM-based hybrid memory architecture for one-shot learning
2023 ·Nature Communications ·Yijun Li,Jianshi Tang,Bin Gao,Jian Yao,(unknown),Bonan Yan,Yuchao Yang,Yue Xi,Yuankun Li,Jiaming Li,Wen Sun,(unknown),Zhengwu Liu,Qingtian Zhang,Song Qiu,Qingwen Li,He Qian,Huaqiang Wu
46
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
Trends and challenges in the circuit and macro of RRAM-based computing-in-memory systems
2022 ·SHILAP Revista de lepidopterología ·(unknown),Bin Gao,Dong Wu,Jianshi Tang,He Qian,Huaqiang Wu
33
10
Three‐Dimensional Reconstruction of Conductive Filaments in HfOx‐Based Memristor
2022 ·Advanced Materials ·Tiantian Wei,Yuyao Lu,Fan Zhang,Jianshi Tang,Bin Gao,Pu Yu,He Qian,Huaqiang Wu
56
11
Microscopic Modeling and Optimization of NbOx Mott Memristor for Artificial Neuron Applications
2022 ·IEEE Transactions on Electron Devices ·Junhao Chen,(unknown),Jianshi Tang,Xinyi Li,Feng Xu,Bin Gao,Wen Sun,He Qian,Huaqiang Wu
16
12
Dynamic memristor-based reservoir computing for high-efficiency temporal signal processingbreakdown →
2021 ·Nature Communications ·Ya‐Nan Zhong,Jianshi Tang,Xinyi Li,Bin Gao,He Qian,Huaqiang Wu
428
13
In situ optical backpropagation training of diffractive optical neural networks
2020 ·Photonics Research ·Tiankuang Zhou,Lu Fang,Tao Yan,Jiamin Wu,Yipeng Li,Jingtao Fan,Huaqiang Wu,Xing Lin,Qionghai Dai
151
14
33.1 A 74 TMACS/W CMOS-RRAM Neurosynaptic Core with Dynamically Reconfigurable Dataflow and In-situ Transposable Weights for Probabilistic Graphical Models
2020 ·Weier Wan,Rajkumar Kubendran,Sukru Burc Eryilmaz,Wenqiang Zhang,Yan Liao,Dabin Wu,Stephen Deiss,Bin Gao,Priyanka Raina,Siddharth Joshi,Huaqiang Wu,Gert Cauwenberghs,H.‐S. Philip Wong
106
15
25.2 A Reconfigurable RRAM Physically Unclonable Function Utilizing Post-Process Randomness Source With <6×10−6 Native Bit Error Rate
2019 ·Yachuan Pang,Bin Gao,Dong Wu,(unknown),Qi Liu,Wei-Hao Chen,Ting-Wei Chang,Wei-En Lin,Xiaoyu Sun,Shimeng Yu,He Qian,Meng‐Fan Chang,Huaqiang Wu
53
16
Impacts of State Instability and Retention Failure of Filamentary Analog RRAM on the Performance of Deep Neural Network
2019 ·IEEE Transactions on Electron Devices ·(unknown),Peng Huang,Yudi Zhao,Meiran Zhao,Bin Gao,Huaqiang Wu,He Qian,Xiaoyan Liu,Jinfeng Kang
44
17
Stateful Logic Operations in One-Transistor-One- Resistor Resistive Random Access Memory Array
2019 ·IEEE Electron Device Letters ·(unknown),Peng Huang,(unknown),Runze Han,Zheng Zhou,Bin Gao,Huaqiang Wu,He Qian,Lifeng Liu,Xiaoyan Liu,Xing Zhang,Jinfeng Kang
44
18
Endurance and Retention Degradation of Intermediate Levels in Filamentary Analog RRAM
2019 ·IEEE Journal of the Electron Devices Society ·Meiran Zhao,Bin Gao,Yue Xi,Feng Xu,Huaqiang Wu,He Qian
25
19
Impact of variations of threshold voltage and hold voltage of threshold switching selectors in 1S1R crossbar array
2018 ·Chinese Physics B ·Yujia Li,Huaqiang Wu,Bin Gao,Qilin Hua,Zhao Zhang,Wanrong Zhang,He Qian
7
20
New structure with SiO 2 -gate-dielectric select gates in vertical-channel three-dimensional (3D) NAND flash memory
2017 ·Microelectronics Reliability ·(unknown),Bin Gao,Huaqiang Wu,He Qian
4

About Huaqiang Wu

Huaqiang Wu is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Hardware and Architecture, having authored 299 papers that have together received 16.3k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (251 papers), Ferroelectric and Negative Capacitance Devices (179 papers) and Semiconductor materials and devices (70 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (5.3k citations), Electrical and Electronic Engineering (14.8k citations) and Polymers and Plastics (2.3k citations). Huaqiang Wu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include He Qian, Bin Gao, Jianshi Tang, Peng Yao, J. Joshua Yang, Wenqiang Zhang, Qingtian Zhang, Qiangfei Xia, Zhongrui Wang and Shimeng Yu. Their work appears in journals such as Nature, Science and Advanced Materials.

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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