Huaqiang Wu

25.0k total citations · 13 hit papers
299 papers, 16.3k citations indexed

About

Huaqiang Wu is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Huaqiang Wu has authored 299 papers receiving a total of 16.3k indexed citations (citations by other indexed papers that have themselves been cited), including 276 papers in Electrical and Electronic Engineering, 73 papers in Cellular and Molecular Neuroscience and 40 papers in Artificial Intelligence. Recurrent topics in Huaqiang Wu's work include Advanced Memory and Neural Computing (251 papers), Ferroelectric and Negative Capacitance Devices (179 papers) and Semiconductor materials and devices (70 papers). Huaqiang Wu is often cited by papers focused on Advanced Memory and Neural Computing (251 papers), Ferroelectric and Negative Capacitance Devices (179 papers) and Semiconductor materials and devices (70 papers). Huaqiang Wu collaborates with scholars based in China, United States and Singapore. Huaqiang Wu's 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 and has published in prestigious journals such as Nature, Science and Advanced Materials.

In The Last Decade

Huaqiang Wu

279 papers receiving 16.0k citations

Hit Papers

align trajectories sort by overperformance

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 →
Resistive switching materials for information processing

2020 905 citations 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 →
Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals, Progress, and Challenges

2019 640 citations Jianshi Tang, Xinyi Li et al. profile →
A compute-in-memory chip based on resistive random-access memory

2022 511 citations Wenqiang Zhang, He Qian et al. profile →
Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing

2021 428 citations Jianshi Tang, Xinyi Li et al. Nature Communications profile →
An artificial nociceptor based on a diffusive memristor

2018 419 citations Huaqiang Wu et al. Nature Communications profile →
Understanding memristive switching via in situ characterization and device modeling

2019 344 citations Wen Sun, Bin Gao et al. Nature Communications profile →
Edge learning using a fully integrated neuro-inspired memristor chip

2023 230 citations Peng Yao, Bin Gao et al. profile →
A memristor-based analogue reservoir computing system for real-time and power-efficient signal processing

2022 221 citations Jianshi Tang, Xinyi Li et al. Nature Electronics profile →
Physical reservoir computing with emerging electronics

2024 101 citations Jianshi Tang, Bin Gao 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 — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Huaqiang Wu China	60	14.8k	5.3k	3.1k	2.3k	2.2k	299	16.3k
John Paul Strachan United States	50	15.0k 1.0×	6.0k 1.1×	2.5k 0.8×	2.3k 1.0×	2.2k 1.0×	123	16.0k
Qiangfei Xia United States	51	14.8k 1.0×	6.2k 1.2×	2.1k 0.7×	2.1k 0.9×	2.4k 1.1×	137	16.4k
Dmitri B. Strukov United States	45	20.9k 1.4×	8.9k 1.7×	2.3k 0.7×	3.0k 1.3×	3.5k 1.6×	142	22.2k
Shimeng Yu United States	70	23.1k 1.6×	6.9k 1.3×	3.3k 1.0×	2.7k 1.2×	1.8k 0.8×	508	24.2k
Bin Gao China	61	15.4k 1.0×	5.3k 1.0×	2.7k 0.9×	2.4k 1.1×	2.1k 1.0×	355	16.5k
Daniele Ielmini Italy	72	17.9k 1.2×	4.7k 0.9×	1.8k 0.6×	3.7k 1.6×	1.7k 0.8×	388	19.0k
He Qian China	52	11.7k 0.8×	4.0k 0.8×	2.4k 0.8×	1.7k 0.7×	1.8k 0.8×	290	12.7k
Duncan R. Stewart United States	31	18.7k 1.3×	7.5k 1.4×	1.2k 0.4×	3.1k 1.3×	2.7k 1.2×	50	20.2k
Abu Sebastian Switzerland	46	10.3k 0.7×	2.2k 0.4×	2.9k 0.9×	1.2k 0.5×	1.1k 0.5×	224	12.7k
Gregory S. Snider United States	10	11.5k 0.8×	4.8k 0.9×	936 0.3×	1.4k 0.6×	2.0k 0.9×	11	12.4k

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

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20 of 20 papers shown

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

Wang, Ze, Qi Liu, Bin Gao, et al.. (2025). A full-stack memristor-based computation-in-memory system with software-hardware co-development. Nature Communications. 16(1). 2123–2123. 4 indexed citations

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

Chen, Jiajia, Bowen Chen, Gaobo Lin, et al.. (2025). Low-power edge detection based on ferroelectric field-effect transistor. Nature Communications. 16(1). 565–565. 8 indexed citations

Gao, Bin, et al.. (2024). Deep Bayesian active learning using in-memory computing hardware. Nature Computational Science. 5(1). 27–36. 8 indexed citations

Zhang, Qingtian, Bin Gao, Jianshi Tang, et al.. (2024). High-Efficient Memristor-Based Bayesian Convolutional Neural Networks for Out-of-Distribution Detection by Uncertainty Estimation. IEEE Transactions on Electron Devices. 72(1). 206–214.

Wang, Ze, et al.. (2024). Industry-Oriented Detection Method of PCBA Defects Using Semantic Segmentation Models. IEEE/CAA Journal of Automatica Sinica. 11(6). 1438–1446. 6 indexed citations

Hu, Ruofei, Jianshi Tang, Yue Xi, et al.. (2023). Nitrogen-Oxyanion-Doped HfO₂ Resistive Random-Access Memory With Chemically Enhanced Forming. IEEE Electron Device Letters. 44(4). 618–621. 5 indexed citations

Li, Yijun, Jianshi Tang, Bin Gao, et al.. (2023). Monolithic three-dimensional integration of RRAM-based hybrid memory architecture for one-shot learning. Nature Communications. 14(1). 7140–7140. 46 indexed citations

10.

Qin, Qi, Qingtian Zhang, Bin Gao, et al.. (2023). A Crossbar-wise IR-drop Compensation Schemes for 5G/6G Hybrid Precoding with Highly-parallel Analog RRAM Array. 45–46.

11.

Gao, Bin, et al.. (2022). Trends and challenges in the circuit and macro of RRAM-based computing-in-memory systems. SHILAP Revista de lepidopterología. 1(1). 100004–100004. 33 indexed citations

12.

Chen, Junhao, Jianshi Tang, Xinyi Li, et al.. (2022). Microscopic Modeling and Optimization of NbO_x Mott Memristor for Artificial Neuron Applications. IEEE Transactions on Electron Devices. 69(12). 6686–6692. 16 indexed citations

13.

Gao, Bin, Bohan Lin, Yachuan Pang, et al.. (2022). Concealable physically unclonable function chip with a memristor array. Science Advances. 8(24). 76 indexed citations

14.

Luo, Zhaochu, Chi Fang, Caihua Wan, et al.. (2021). Nonvolatile magnetic half adder combined with memory writing. Applied Physics Letters. 118(18). 2 indexed citations

15.

Liao, Yan, Bin Gao, Peng Yao, et al.. (2020). Diagonal Matrix Regression Layer: Training Neural Networks on Resistive Crossbars With Interconnect Resistance Effect. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 40(8). 1662–1671. 27 indexed citations

16.

Huang, Peng, et al.. (2020). Oxide-based filamentary RRAM for deep learning. Journal of Physics D Applied Physics. 54(8). 83002–83002. 28 indexed citations

17.

Xi, Yue, Bin Gao, Jianshi Tang, et al.. (2020). In-memory Learning with Analog Resistive Switching Memory: A Review and Perspective. Proceedings of the IEEE. 109(1). 14–42. 151 indexed citations

18.

Chen, Junren, Huaqiang Wu, Bin Gao, et al.. (2020). A Parallel Multibit Programing Scheme With High Precision for RRAM-Based Neuromorphic Systems. IEEE Transactions on Electron Devices. 67(5). 2213–2217. 43 indexed citations

19.

Zhang, Wenbin, Bin Gao, Jianshi Tang, et al.. (2019). Analog‐Type Resistive Switching Devices for Neuromorphic Computing. physica status solidi (RRL) - Rapid Research Letters. 13(10). 105 indexed citations

20.

Chen, Wei-Hao, Win-San Khwa, Junyi Li, et al.. (2017). Circuit design for beyond von Neumann applications using emerging memory: From nonvolatile logics to neuromorphic computing. 23–28. 23 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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