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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 Large-Scale Model of the Functioning Brain
Chris Eliasmith, Terrence C. Stewart, Xuan Choo, et al.
Science (2012) Vol. 338, Iss. 6111, pp. 1202-1205
Closed Access | Times Cited: 900

Showing 1-25 of 900 citing articles:

Deep learning in neural networks: An overview
Jürgen Schmidhuber
Neural Networks (2014) Vol. 61, pp. 85-117
Open Access | Times Cited: 16635
Whatever next? Predictive brains, situated agents, and the future of cognitive science
Andy Clark
Behavioral and Brain Sciences (2013) Vol. 36, Iss. 3, pp. 181-204
Open Access | Times Cited: 4978
A million spiking-neuron integrated circuit with a scalable communication network and interface
Paul Merolla, John V. Arthur, Rodrigo Alvarez-Icaza, et al.
Science (2014) Vol. 345, Iss. 6197, pp. 668-673
Closed Access | Times Cited: 3629
Human-level concept learning through probabilistic program induction
Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum
Science (2015) Vol. 350, Iss. 6266, pp. 1332-1338
Open Access | Times Cited: 2767
Building machines that learn and think like people
Brenden M. Lake, Tomer Ullman, Joshua B. Tenenbaum, et al.
Behavioral and Brain Sciences (2016) Vol. 40
Open Access | Times Cited: 2208
Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations
Ben Varkey Benjamin, Peiran Gao, Emmett McQuinn, et al.
Proceedings of the IEEE (2014) Vol. 102, Iss. 5, pp. 699-716
Closed Access | Times Cited: 1144
The SpiNNaker Project
Steve Furber, Francesco Galluppi, Steve Temple, et al.
Proceedings of the IEEE (2014) Vol. 102, Iss. 5, pp. 652-665
Open Access | Times Cited: 1137
Deep learning in spiking neural networks
Amirhossein Tavanaei, Masoud Ghodrati, Saeed Reza Kheradpisheh, et al.
Neural Networks (2018) Vol. 111, pp. 47-63
Open Access | Times Cited: 1009
An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels
Guang-Bin Huang
Cognitive Computation (2014) Vol. 6, Iss. 3, pp. 376-390
Closed Access | Times Cited: 925
Towards artificial general intelligence with hybrid Tianjic chip architecture
Jing Pei, Lei Deng, Sen Song, et al.
Nature (2019) Vol. 572, Iss. 7767, pp. 106-111
Closed Access | Times Cited: 788
Graph analysis of the human connectome: Promise, progress, and pitfalls
Alex Fornito, Andrew Zalesky, Michael Breakspear
NeuroImage (2013) Vol. 80, pp. 426-444
Open Access | Times Cited: 754
Event-Based Vision: A Survey
Guillermo Gallego, Tobi Delbrück, Garrick Orchard, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2020) Vol. 44, Iss. 1, pp. 154-180
Open Access | Times Cited: 655
Toward an Integration of Deep Learning and Neuroscience
Adam Marblestone, Greg Wayne, Konrad P. Körding
Frontiers in Computational Neuroscience (2016) Vol. 10
Open Access | Times Cited: 628
Deep Learning With Spiking Neurons: Opportunities and Challenges
Michael Pfeiffer, Thomas Pfeil
Frontiers in Neuroscience (2018) Vol. 12
Open Access | Times Cited: 597
SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks
Friedemann Zenke, Surya Ganguli
Neural Computation (2018) Vol. 30, Iss. 6, pp. 1514-1541
Open Access | Times Cited: 513
Task representations in neural networks trained to perform many cognitive tasks
Guangyu Robert Yang, Madhura R. Joglekar, Hui Song, et al.
Nature Neuroscience (2019) Vol. 22, Iss. 2, pp. 297-306
Closed Access | Times Cited: 485
Cognitive computational neuroscience
Nikolaus Kriegeskorte, Pamela K. Douglas
Nature Neuroscience (2018) Vol. 21, Iss. 9, pp. 1148-1160
Open Access | Times Cited: 466
What are Extreme Learning Machines? Filling the Gap Between Frank Rosenblatt’s Dream and John von Neumann’s Puzzle
Guang-Bin Huang
Cognitive Computation (2015) Vol. 7, Iss. 3, pp. 263-278
Closed Access | Times Cited: 458
The Virtual Brain: a simulator of primate brain network dynamics
Paula Sanz‐Leon, S. A. Knock, Marmaduke Woodman, et al.
Frontiers in Neuroinformatics (2013) Vol. 7
Open Access | Times Cited: 458
The Neural Representation of Sequences: From Transition Probabilities to Algebraic Patterns and Linguistic Trees
Stanislas Dehaene, Florent Meyniel, Catherine Wacongne, et al.
Neuron (2015) Vol. 88, Iss. 1, pp. 2-19
Open Access | Times Cited: 437
Nengo: a Python tool for building large-scale functional brain models
Trevor Bekolay, James Bergstra, Eric Hunsberger, et al.
Frontiers in Neuroinformatics (2014) Vol. 7
Open Access | Times Cited: 423
40 years of cognitive architectures: core cognitive abilities and practical applications
Iuliia Kotseruba, John K. Tsotsos
Artificial Intelligence Review (2018) Vol. 53, Iss. 1, pp. 17-94
Open Access | Times Cited: 414
Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook
Mike Davies, Andreas Wild, Garrick Orchard, et al.
Proceedings of the IEEE (2021) Vol. 109, Iss. 5, pp. 911-934
Open Access | Times Cited: 374
Small-world human brain networks: Perspectives and challenges
Xuhong Liao, Athanasios V. Vasilakos, Yong He
Neuroscience & Biobehavioral Reviews (2017) Vol. 77, pp. 286-300
Closed Access | Times Cited: 373
Complementary Contributions of Striatal Projection Pathways to Action Initiation and Execution
Fatuel Tecuapetla, Xin Jin, Susana Q. Lima, et al.
Cell (2016) Vol. 166, Iss. 3, pp. 703-715
Open Access | Times Cited: 352
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