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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Brain-inspired computing with memristors: Challenges in devices, circuits, and systems
Yang Zhang, Zhongrui Wang, Jiadi Zhu, et al.
Applied Physics Reviews (2020) Vol. 7, Iss. 1
Closed Access | Times Cited: 290

Showing 1-25 of 290 citing articles:

Dynamical memristors for higher-complexity neuromorphic computing
Suhas Kumar, Xinxin Wang, John Paul Strachan, et al.
Nature Reviews Materials (2022) Vol. 7, Iss. 7, pp. 575-591
Closed Access | Times Cited: 323
2D Material Based Synaptic Devices for Neuromorphic Computing
Guiming Cao, Meng Peng, Jiangang Chen, et al.
Advanced Functional Materials (2020) Vol. 31, Iss. 4
Closed Access | Times Cited: 264
Neuromorphic Engineering: From Biological to Spike‐Based Hardware Nervous Systems
Jia‐Qin Yang, Ruopeng Wang, Yi Ren, et al.
Advanced Materials (2020) Vol. 32, Iss. 52
Closed Access | Times Cited: 254
Recent Advances on Neuromorphic Devices Based on Chalcogenide Phase‐Change Materials
Ming Xu, Xianliang Mai, Jun Lin, et al.
Advanced Functional Materials (2020) Vol. 30, Iss. 50
Closed Access | Times Cited: 199
Flexible Artificial Sensory Systems Based on Neuromorphic Devices
Fuqin Sun, Qifeng Lu, Simin Feng, et al.
ACS Nano (2021) Vol. 15, Iss. 3, pp. 3875-3899
Closed Access | Times Cited: 194
Anomalous resistive switching in memristors based on two-dimensional palladium diselenide using heterophase grain boundaries
Yesheng Li, Leyi Loh, Sifan Li, et al.
Nature Electronics (2021) Vol. 4, Iss. 5, pp. 348-356
Closed Access | Times Cited: 182
Volatile and Nonvolatile Memristive Devices for Neuromorphic Computing
Guangdong Zhou, Zhongrui Wang, Bai Sun, et al.
Advanced Electronic Materials (2022) Vol. 8, Iss. 7
Closed Access | Times Cited: 149
Hardware Implementation of Neuromorphic Computing Using Large‐Scale Memristor Crossbar Arrays
Yesheng Li, Kah‐Wee Ang
Advanced Intelligent Systems (2020) Vol. 3, Iss. 1
Open Access | Times Cited: 148
Analog architectures for neural network acceleration based on non-volatile memory
T. Patrick Xiao, Christopher H. Bennett, Ben Feinberg, et al.
Applied Physics Reviews (2020) Vol. 7, Iss. 3
Open Access | Times Cited: 142
Stochastic resonance in a metal-oxide memristive device
A. N. Mikhaylov, Д. В. Гусейнов, A. I. Belov, et al.
Chaos Solitons & Fractals (2021) Vol. 144, pp. 110723-110723
Closed Access | Times Cited: 126
Recent Advances and Future Prospects for Memristive Materials, Devices, and Systems
Min‐Kyu Song, Ji Hoon Kang, Xinyuan Zhang, et al.
ACS Nano (2023) Vol. 17, Iss. 13, pp. 11994-12039
Closed Access | Times Cited: 121
Emerging Opportunities for 2D Semiconductor/Ferroelectric Transistor‐Structure Devices
Zheng‐Dong Luo, Ming‐Min Yang, Yang Liu, et al.
Advanced Materials (2021) Vol. 33, Iss. 12
Closed Access | Times Cited: 116
Noise-assisted persistence and recovery of memory state in a memristive spiking neuromorphic network
I. A. Surazhevsky, В. А. Демин, A. I. Ilyasov, et al.
Chaos Solitons & Fractals (2021) Vol. 146, pp. 110890-110890
Open Access | Times Cited: 114
Memristor modeling: challenges in theories, simulations, and device variability
Lili Gao, Qingying Ren, Jiawei Sun, et al.
Journal of Materials Chemistry C (2021) Vol. 9, Iss. 47, pp. 16859-16884
Closed Access | Times Cited: 112
Nanostructured perovskites for nonvolatile memory devices
Qi Liu, Song Gao, Lei Xu, et al.
Chemical Society Reviews (2022) Vol. 51, Iss. 9, pp. 3341-3379
Closed Access | Times Cited: 112
Adaptive Extreme Edge Computing for Wearable Devices
Erika Covi, Elisa Donati, Xiangpeng Liang, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 106
Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware
Nitin Rathi, Indranil Chakraborty, Adarsh Kumar Kosta, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 12, pp. 1-49
Open Access | Times Cited: 85
Memristor-based neural networks: a bridge from device to artificial intelligence
Zelin Cao, Bai Sun, Guangdong Zhou, et al.
Nanoscale Horizons (2023) Vol. 8, Iss. 6, pp. 716-745
Closed Access | Times Cited: 70
Review on memristor application in neural circuit and network
Feifei Yang, Jun Ma, Fuqiang Wu
Chaos Solitons & Fractals (2024) Vol. 187, pp. 115361-115361
Closed Access | Times Cited: 55
CMOS-compatible neuromorphic devices for neuromorphic perception and computing: a review
Yixin Zhu, Huiwu Mao, Ying Zhu, et al.
International Journal of Extreme Manufacturing (2023) Vol. 5, Iss. 4, pp. 042010-042010
Open Access | Times Cited: 48
Neuromorphic responses of nanofluidic memristors in symmetric and asymmetric ionic solutions
Patricio Ramı́rez, Sergio Portillo, Javier Cervera, et al.
The Journal of Chemical Physics (2024) Vol. 160, Iss. 4
Open Access | Times Cited: 18
Recent Advance in Synaptic Plasticity Modulation Techniques for Neuromorphic Applications
Yilin Sun, Huaipeng Wang, Dan Xie
Nano-Micro Letters (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 15
Two-Dimensional Materials for Brain-Inspired Computing Hardware
Shreyash Hadke, Min‐A Kang, Vinod K. Sangwan, et al.
Chemical Reviews (2025)
Closed Access | Times Cited: 2
Defects in complex oxide thin films for electronics and energy applications: challenges and opportunities
Weiwei Li, Jueli Shi, Kelvin H. L. Zhang, et al.
Materials Horizons (2020) Vol. 7, Iss. 11, pp. 2832-2859
Open Access | Times Cited: 116
Exploring Low Power and Ultrafast Memristor on p-Type van der Waals SnS
Xiu Fang Lu, Yishu Zhang, Naizhou Wang, et al.
Nano Letters (2021) Vol. 21, Iss. 20, pp. 8800-8807
Closed Access | Times Cited: 97
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