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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:

Learning of spatiotemporal patterns in a spiking neural network with resistive switching synapses
Wei Wang, Giacomo Pedretti, Valerio Milo, et al.
Science Advances (2018) Vol. 4, Iss. 9
Open Access | Times Cited: 241

Showing 1-25 of 241 citing articles:

Memristive crossbar arrays for brain-inspired computing
Qiangfei Xia, J. Joshua Yang
Nature Materials (2019) Vol. 18, Iss. 4, pp. 309-323
Closed Access | Times Cited: 1379
Resistive switching materials for information processing
Zhongrui Wang, Huaqiang Wu, Geoffrey W. Burr, et al.
Nature Reviews Materials (2020) Vol. 5, Iss. 3, pp. 173-195
Closed Access | Times Cited: 931
Near-sensor and in-sensor computing
Feichi Zhou, Yang Chai
Nature Electronics (2020) Vol. 3, Iss. 11, pp. 664-671
Open Access | Times Cited: 624
Neuro-inspired computing chips
Wenqiang Zhang, Bin Gao, Jianshi Tang, et al.
Nature Electronics (2020) Vol. 3, Iss. 7, pp. 371-382
Closed Access | Times Cited: 623
Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals, Progress, and Challenges
Jianshi Tang, Fang Yuan, Xinke Shen, et al.
Advanced Materials (2019) Vol. 31, Iss. 49
Closed Access | Times Cited: 604
2022 roadmap on neuromorphic computing and engineering
Dennis Valbjørn Christensen, Regina Dittmann, B. Linares-Barranco, et al.
Neuromorphic Computing and Engineering (2022) Vol. 2, Iss. 2, pp. 022501-022501
Open Access | Times Cited: 450
Artificial Skin Perception
Ming Wang, Yifei Luo, Ting Wang, et al.
Advanced Materials (2020) Vol. 33, Iss. 19
Open Access | Times Cited: 347
An artificial spiking afferent nerve based on Mott memristors for neurorobotics
Xumeng Zhang, Ye Zhuo, Qing Luo, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 318
Emerging Memristive Artificial Synapses and Neurons for Energy‐Efficient Neuromorphic Computing
Sanghyeon Choi, Jehyeon Yang, Gunuk Wang
Advanced Materials (2020) Vol. 32, Iss. 51
Closed Access | Times Cited: 267
Emerging neuromorphic devices
Daniele Ielmini, Stefano Ambrogio
Nanotechnology (2019) Vol. 31, Iss. 9, pp. 092001-092001
Open Access | Times Cited: 265
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
All‐Optically Controlled Memristor for Optoelectronic Neuromorphic Computing
Lingxiang Hu, Jing Yang, Jingrui Wang, et al.
Advanced Functional Materials (2020) Vol. 31, Iss. 4
Open Access | Times Cited: 246
Stretchable elastic synaptic transistors for neurologically integrated soft engineering systems
Hyunseok Shim, Kyoseung Sim, Faheem Ershad, et al.
Science Advances (2019) Vol. 5, Iss. 10
Open Access | Times Cited: 245
Sub-nanosecond memristor based on ferroelectric tunnel junction
Chao Ma, Zhen Luo, Weichuan Huang, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 237
Synaptic devices based neuromorphic computing applications in artificial intelligence
Bai Sun, Tao Guo, Guangdong Zhou, et al.
Materials Today Physics (2021) Vol. 18, pp. 100393-100393
Closed Access | Times Cited: 206
Tactile sensory coding and learning with bio-inspired optoelectronic spiking afferent nerves
Hongwei Tan, Quanzheng Tao, Ishan Pande, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 201
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
Spatiotemporal Information Processing Emulated by Multiterminal Neuro‐Transistor Networks
Yongli He, Sha Nie, Rui Liu, et al.
Advanced Materials (2019) Vol. 31, Iss. 21
Closed Access | Times Cited: 191
Mimicking Neuroplasticity in a Hybrid Biopolymer Transistor by Dual Modes Modulation
Ziyu Lv, Meng Chen, Fangsheng Qian, et al.
Advanced Functional Materials (2019) Vol. 29, Iss. 31
Closed Access | Times Cited: 187
Standards for the Characterization of Endurance in Resistive Switching Devices
Mario Lanza, Rainer Waser, Daniele Ielmini, et al.
ACS Nano (2021) Vol. 15, Iss. 11, pp. 17214-17231
Open Access | Times Cited: 186
Toward a generalized Bienenstock-Cooper-Munro rule for spatiotemporal learning via triplet-STDP in memristive devices
Zhongqiang Wang, Tao Zeng, Yanyun Ren, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 180
Three-Dimensional Nanoscale Flexible Memristor Networks with Ultralow Power for Information Transmission and Processing Application
Tianyu Wang, Jialin Meng, Mingyi Rao, et al.
Nano Letters (2020) Vol. 20, Iss. 6, pp. 4111-4120
Closed Access | Times Cited: 166
Leaky integrate-and-fire neurons based on perovskite memristor for spiking neural networks
Jia‐Qin Yang, Ruopeng Wang, Zhanpeng Wang, et al.
Nano Energy (2020) Vol. 74, pp. 104828-104828
Closed Access | Times Cited: 159
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
Versatile neuromorphic electronics by modulating synaptic decay of single organic synaptic transistor: From artificial neural networks to neuro-prosthetics
Dae‐Gyo Seo, Yeongjun Lee, Gyeong‐Tak Go, et al.
Nano Energy (2019) Vol. 65, pp. 104035-104035
Closed Access | Times Cited: 146
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