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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.

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Showing 1-25 of 75 citing articles:

Opportunities for neuromorphic computing algorithms and applications
Catherine D. Schuman, Shruti Kulkarni, Maryam Parsa, et al.
Nature Computational Science (2022) Vol. 2, Iss. 1, pp. 10-19
Open Access | Times Cited: 573
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
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
A Modern Approach towards an Industry 4.0 Model: From Driving Technologies to Management
Georgios Tsaramirsis, Antreas Kantaros, Izzat Al-Darraji, et al.
Journal of Sensors (2022) Vol. 2022, pp. 1-18
Open Access | Times Cited: 98
DYNAP-SE2: a scalable multi-core dynamic neuromorphic asynchronous spiking neural network processor
Ole Richter, Chenxi Wu, Adrian Whatley, et al.
Neuromorphic Computing and Engineering (2024) Vol. 4, Iss. 1, pp. 014003-014003
Open Access | Times Cited: 18
Bottom-Up and Top-Down Approaches for the Design of Neuromorphic Processing Systems: Tradeoffs and Synergies Between Natural and Artificial Intelligence
Charlotte Frenkel, David Bol, Giacomo Indiveri
Proceedings of the IEEE (2023) Vol. 111, Iss. 6, pp. 623-652
Open Access | Times Cited: 36
Brain-Inspired Computing: A Systematic Survey and Future Trends
Guoqi Li, Lei Deng, Huajin Tang, et al.
Proceedings of the IEEE (2024) Vol. 112, Iss. 6, pp. 544-584
Open Access | Times Cited: 13
Larger GPU-accelerated brain simulations with procedural connectivity
James C. Knight, Thomas Nowotny
Nature Computational Science (2021) Vol. 1, Iss. 2, pp. 136-142
Open Access | Times Cited: 52
CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation
Lars Niedermeier, Kexin Chen, Jinwei Xing, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2022), pp. 1-10
Closed Access | Times Cited: 32
Connectivity concepts in neuronal network modeling
Johanna Senk, Birgit Kriener, Mikael Djurfeldt, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 9, pp. e1010086-e1010086
Open Access | Times Cited: 31
Photonic spiking neural networks with event-driven femtojoule optoelectronic neurons based on Izhikevich-inspired model
Yun-Jhu Lee, Mehmet Berkay On, Xian Xiao, et al.
Optics Express (2022) Vol. 30, Iss. 11, pp. 19360-19360
Open Access | Times Cited: 28
Brian2GeNN: accelerating spiking neural network simulations with graphics hardware
Marcel Stimberg, Dan F. M. Goodman, Thomas Nowotny
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 47
PyGeNN: A Python Library for GPU-Enhanced Neural Networks
James C. Knight, A. B. Комиссаров, Thomas Nowotny
Frontiers in Neuroinformatics (2021) Vol. 15
Open Access | Times Cited: 38
Fast Simulations of Highly-Connected Spiking Cortical Models Using GPUs
Bruno Golosio, Gianmarco Tiddia, Chiara De Luca, et al.
Frontiers in Computational Neuroscience (2021) Vol. 15
Open Access | Times Cited: 34
Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype
Yexin Yan, David Kappel, Felix Neumärker, et al.
IEEE Transactions on Biomedical Circuits and Systems (2019) Vol. 13, Iss. 3, pp. 579-591
Open Access | Times Cited: 33
Real-time cortical simulation on neuromorphic hardware
Oliver Rhodes, Luca Peres, Andrew Rowley, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2019) Vol. 378, Iss. 2164, pp. 20190160-20190160
Open Access | Times Cited: 31
Sub-realtime simulation of a neuronal network of natural density
Anno Kurth, Johanna Senk, D. Terhorst, et al.
Neuromorphic Computing and Engineering (2022) Vol. 2, Iss. 2, pp. 021001-021001
Open Access | Times Cited: 18
A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware
Eric Müller, Elias Arnold, Oliver Breitwieser, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 18
Spiking neural networks for autonomous driving: A review
Fernando Sevilla Martínez, Jordi Casas-Roma, Laia Subirats, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109415-109415
Open Access | Times Cited: 3
Bottom-Up and Top-Down Neural Processing Systems Design: Neuromorphic Intelligence as the Convergence of Natural and Artificial Intelligence
Charlotte Frenkel, David Bol, Giacomo Indiveri
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 20
Benchmarking the performance of neuromorphic and spiking neural network simulators
Shruti Kulkarni, Maryam Parsa, J. Parker Mitchell, et al.
Neurocomputing (2021) Vol. 447, pp. 145-160
Open Access | Times Cited: 18
Geosmin suppresses defensive behaviour and elicits unusual neural responses in honey bees
Florencia Scarano, Mukilan Deivarajan Suresh, Ettore Tiraboschi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
An unsupervised neuromorphic clustering algorithm
Alan Diamond, Michael Schmuker, Thomas Nowotny
Biological Cybernetics (2019) Vol. 113, Iss. 4, pp. 423-437
Open Access | Times Cited: 21
Simulating the Cortical Microcircuit Significantly Faster Than Real Time on the IBM INC-3000 Neural Supercomputer
Arne Heittmann, Georgia Psychou, Guido Trensch, et al.
Frontiers in Neuroscience (2022) Vol. 15
Open Access | Times Cited: 12
A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations
Jasper Albers, Jari Pronold, Anno Kurth, et al.
Frontiers in Neuroinformatics (2022) Vol. 16
Open Access | Times Cited: 12
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