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:

Multifunctional optoelectronic memristor based on CeO2/MoS2 heterojunction for advanced artificial synapses and bionic visual system with nociceptive sensing
Yong-Hui Lin, Wenxiao Wang, Rongliang Li, et al.
Nano Energy (2024) Vol. 121, pp. 109267-109267
Closed Access | Times Cited: 31

Showing 26-50 of 31 citing articles:

Advanced design of high-performance artificial neuromorphic electronics
Ying Cao, Hong En Fu, Fan Xi, et al.
Materials Today (2024)
Closed Access

Synaptic coupling and synchronization for HR neural network developing a novel type II non-linear memristor, potential to neuromorphic application
Parnab Das, Nune Pratyusha, Santanu Mandal, et al.
The European Physical Journal Special Topics (2024)
Closed Access

Ag Doping Modified SnSe-Based Flexible Memristors for Artificial Optoelectronic Synapses
Bing Hu, Yunjie Liu, Bo Zhang, et al.
ACS Applied Electronic Materials (2024)
Closed Access

Artificial mechano-nociceptive system based on transparent ITO/AlN/ITO memristor nociceptor neuron
Caiyang Ye, Yimeng Xu, Ziyi Dai, et al.
Applied Physics Letters (2024) Vol. 125, Iss. 21
Closed Access

In-Sensor Noise Reduction and Reservoir Computing System Using ZnO Optoelectronic Memristors for Artificial Vision Applications
Liang Wang, Le Zhang, Shuai‐Bin Hua, et al.
ACS Applied Electronic Materials (2024)
Closed Access

A Low-Cost Flexible Optoelectronic Synapse Based on ZnO Nanowires for Neuromorphic Computing
Yongqing Yue, Zixia Yu, Fangpei Li, et al.
Sensors (2024) Vol. 24, Iss. 23, pp. 7788-7788
Open Access

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