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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 needs a master plan
Adnan Mehonić, Anthony J. Kenyon
Nature (2022) Vol. 604, Iss. 7905, pp. 255-260
Open Access | Times Cited: 344

Showing 1-25 of 344 citing articles:

Intelligent Computing: The Latest Advances, Challenges, and Future
Shiqiang Zhu, Ting Yu, Tao Xu, et al.
Intelligent Computing (2023) Vol. 2
Open Access | Times Cited: 127
Large Language Models and the Reverse Turing Test
Terrence J. Sejnowski
Neural Computation (2023) Vol. 35, Iss. 3, pp. 309-342
Open Access | Times Cited: 107
An in-memory computing architecture based on a duplex two-dimensional material structure for in situ machine learning
Hongkai Ning, Zhihao Yu, Qingtian Zhang, et al.
Nature Nanotechnology (2023) Vol. 18, Iss. 5, pp. 493-500
Closed Access | Times Cited: 97
Hardware implementation of memristor-based artificial neural networks
Fernando Aguirre, Abu Sebastian, Manuel Le Gallo, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 97
Brain organoid reservoir computing for artificial intelligence
Hongwei Cai, Zheng Ao, Chunhui Tian, et al.
Nature Electronics (2023) Vol. 6, Iss. 12, pp. 1032-1039
Closed Access | Times Cited: 94
Ferroelectrics-Integrated Two-Dimensional Devices toward Next-Generation Electronics
Tengyu Jin, Jing‐Yu Mao, Jing Gao, et al.
ACS Nano (2022) Vol. 16, Iss. 9, pp. 13595-13611
Closed Access | Times Cited: 88
Integrated optical memristors
Nathan Youngblood, Carlos Rı́os, Wolfram H. P. Pernice, et al.
Nature Photonics (2023) Vol. 17, Iss. 7, pp. 561-572
Closed Access | Times Cited: 84
SNIB: Improving Spike-Based Machine Learning Using Nonlinear Information Bottleneck
Shuangming Yang, Badong Chen
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 12, pp. 7852-7863
Closed Access | Times Cited: 67
Organic mixed conductors for bioinspired electronics
Paschalis Gkoupidenis, Yan Zhang, Hans Kleemann, et al.
Nature Reviews Materials (2023) Vol. 9, Iss. 2, pp. 134-149
Closed Access | Times Cited: 60
Recent applications of AI to environmental disciplines: A review
A Kónya, Peyman Nematzadeh
The Science of The Total Environment (2023) Vol. 906, pp. 167705-167705
Closed Access | Times Cited: 57
Manufacturing of graphene based synaptic devices for optoelectronic applications
Kui Zhou, Ziqi Jia, Xinqi Ma, et al.
International Journal of Extreme Manufacturing (2023) Vol. 5, Iss. 4, pp. 042006-042006
Open Access | Times Cited: 56
Iontronic Neuromorphic Signaling with Conical Microfluidic Memristors
T. M. Kamsma, Willem Q. Boon, T. ter Rele, et al.
Physical Review Letters (2023) Vol. 130, Iss. 26
Open Access | Times Cited: 48
Learning from the Brain: Bioinspired Nanofluidics
Yaqi Hou, Yixin Ling, Yanqiong Wang, et al.
The Journal of Physical Chemistry Letters (2023) Vol. 14, Iss. 11, pp. 2891-2900
Closed Access | Times Cited: 42
Conceptualizing future groundwater models through a ternary framework of multisource data, human expertise, and machine intelligence
Chuanjun Zhan, Zhenxue Dai, Shangxian Yin, et al.
Water Research (2024) Vol. 257, pp. 121679-121679
Closed Access | Times Cited: 33
Brain-inspired computing with fluidic iontronic nanochannels
T. M. Kamsma, Jaehyun Kim, Kyungjun Kim, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 18
Open Access | Times Cited: 27
Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip
Man Yao, Ole Richter, Guangshe Zhao, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 18
Phase-change memory via a phase-changeable self-confined nano-filament
See‐On Park, Seokman Hong, Sujin Sung, et al.
Nature (2024) Vol. 628, Iss. 8007, pp. 293-298
Closed Access | Times Cited: 16
Neuromorphic dendritic network computation with silent synapses for visual motion perception
Eunhye Baek, Sen Song, Chang‐Ki Baek, et al.
Nature Electronics (2024) Vol. 7, Iss. 6, pp. 454-465
Closed Access | Times Cited: 15
Neuromorphic computing at scale
Dhireesha Kudithipudi, Catherine D. Schuman, Craig M. Vineyard, et al.
Nature (2025) Vol. 637, Iss. 8047, pp. 801-812
Closed Access | Times Cited: 3
Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning
Spyridon Chavlis, Panayiota Poirazi
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 2
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
Controlled Optoelectronic Response in van der Waals Heterostructures for In‐Sensor Computing
Qiyu Yang, Zheng‐Dong Luo, Dawei Zhang, et al.
Advanced Functional Materials (2022) Vol. 32, Iss. 45
Closed Access | Times Cited: 56
Electrochemical Ionic Synapses: Progress and Perspectives
Mantao Huang, Miranda Schwacke, Murat Onen, et al.
Advanced Materials (2022) Vol. 35, Iss. 37
Open Access | Times Cited: 54
Dendrocentric learning for synthetic intelligence
Kwabena Boahen
Nature (2022) Vol. 612, Iss. 7938, pp. 43-50
Closed Access | Times Cited: 51
Silicon photonic architecture for training deep neural networks with direct feedback alignment
Matthew J. Filipovich, Zhimu Guo, Mohammed Al-Qadasi, et al.
Optica (2022) Vol. 9, Iss. 12, pp. 1323-1323
Open Access | Times Cited: 49
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