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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:

A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing
Yoeri van de Burgt, Ewout Lubberman, Elliot J. Fuller, et al.
Nature Materials (2017) Vol. 16, Iss. 4, pp. 414-418
Closed Access | Times Cited: 1507

Showing 1-25 of 1507 citing articles:

Organic electrochemical transistors
Jonathan Rivnay, Sahika Inal, Alberto Salleo, et al.
Nature Reviews Materials (2018) Vol. 3, Iss. 2
Open Access | Times Cited: 1500
Memory devices and applications for in-memory computing
Abu Sebastian, Manuel Le Gallo, Riduan Khaddam-Aljameh, et al.
Nature Nanotechnology (2020) Vol. 15, Iss. 7, pp. 529-544
Open Access | Times Cited: 1454
Electronic Skin: Recent Progress and Future Prospects for Skin‐Attachable Devices for Health Monitoring, Robotics, and Prosthetics
Jun Chang Yang, Jaewan Mun, Se Young Kwon, et al.
Advanced Materials (2019) Vol. 31, Iss. 48
Open Access | Times Cited: 1386
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: 1378
A bioinspired flexible organic artificial afferent nerve
Yeongin Kim, Alex Chortos, Wentao Xu, et al.
Science (2018) Vol. 360, Iss. 6392, pp. 998-1003
Open Access | Times Cited: 1186
Equivalent-accuracy accelerated neural-network training using analogue memory
Stefano Ambrogio, Pritish Narayanan, Hsinyu Tsai, et al.
Nature (2018) Vol. 558, Iss. 7708, pp. 60-67
Closed Access | Times Cited: 973
Fully memristive neural networks for pattern classification with unsupervised learning
Zhongrui Wang, Saumil Joshi, Sergey Savel’ev, et al.
Nature Electronics (2018) Vol. 1, Iss. 2, pp. 137-145
Closed Access | Times Cited: 950
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: 929
Organic electronics for neuromorphic computing
Yoeri van de Burgt, Armantas Melianas, Scott T. Keene, et al.
Nature Electronics (2018) Vol. 1, Iss. 7, pp. 386-397
Closed Access | Times Cited: 891
Two-dimensional materials for next-generation computing technologies
Chunsen Liu, Huawei Chen, Shuiyuan Wang, et al.
Nature Nanotechnology (2020) Vol. 15, Iss. 7, pp. 545-557
Closed Access | Times Cited: 764
Efficient and self-adaptive in-situ learning in multilayer memristor neural networks
Can Li, Daniel Belkin, Yunning Li, et al.
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 762
Physics for neuromorphic computing
Danijela Marković, Alice Mizrahi, Damien Querlioz, et al.
Nature Reviews Physics (2020) Vol. 2, Iss. 9, pp. 499-510
Open Access | Times Cited: 744
Designing crystallization in phase-change materials for universal memory and neuro-inspired computing
Wei Zhang, Riccardo Mazzarello, Matthias Wuttig, et al.
Nature Reviews Materials (2019) Vol. 4, Iss. 3, pp. 150-168
Closed Access | Times Cited: 732
Neuromorphic computing with multi-memristive synapses
Irem Boybat, Manuel Le Gallo, S. R. Nandakumar, et al.
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 715
Neuromorphic nanoelectronic materials
Vinod K. Sangwan, Mark C. Hersam
Nature Nanotechnology (2020) Vol. 15, Iss. 7, pp. 517-528
Closed Access | Times Cited: 674
Organic mixed ionic–electronic conductors
Bryan D. Paulsen, Klas Tybrandt, Eleni Stavrinidou, et al.
Nature Materials (2019) Vol. 19, Iss. 1, pp. 13-26
Closed Access | Times Cited: 667
SiGe epitaxial memory for neuromorphic computing with reproducible high performance based on engineered dislocations
Shinhyun Choi, Scott H. Tan, Zefan Li, et al.
Nature Materials (2018) Vol. 17, Iss. 4, pp. 335-340
Closed Access | Times Cited: 616
Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing
Elliot J. Fuller, Scott T. Keene, Armantas Melianas, et al.
Science (2019) Vol. 364, Iss. 6440, pp. 570-574
Open Access | Times Cited: 606
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: 600
A comprehensive review on emerging artificial neuromorphic devices
Jiadi Zhu, Teng Zhang, Yuchao Yang, et al.
Applied Physics Reviews (2020) Vol. 7, Iss. 1
Closed Access | Times Cited: 590
Artificial optic-neural synapse for colored and color-mixed pattern recognition
Seunghwan Seo, Seo-Hyeon Jo, Sungho Kim, et al.
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 587
Photonic Synapses Based on Inorganic Perovskite Quantum Dots for Neuromorphic Computing
Yan Wang, Ziyu Lv, Jinrui Chen, et al.
Advanced Materials (2018) Vol. 30, Iss. 38
Closed Access | Times Cited: 562
Electronic synapses made of layered two-dimensional materials
Yuanyuan Shi, Xianhu Liang, Bin Yuan, et al.
Nature Electronics (2018) Vol. 1, Iss. 8, pp. 458-465
Closed Access | Times Cited: 552
Ferroelectric Analog Synaptic Transistors
Min‐Kyu Kim, Jang‐Sik Lee
Nano Letters (2019) Vol. 19, Iss. 3, pp. 2044-2050
Closed Access | Times Cited: 478
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: 447
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