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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:

An Analytical Estimation of Spiking Neural Networks Energy Efficiency
Edgar Lemaire, Loïc Cordone, Andréa Castagnetti, et al.
Lecture notes in computer science (2023), pp. 574-587
Open Access | Times Cited: 14

Showing 14 citing articles:

SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence
Wei Fang, Yanqi Chen, Jianhao Ding, et al.
Science Advances (2023) Vol. 9, Iss. 40
Open Access | Times Cited: 101
The neurobench framework for benchmarking neuromorphic computing algorithms and systems
Jason Yik, Korneel Van den Berghe, Douwe den Blanken, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 2
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks
Jiangrong Shen, Qi Xu, Jian K. Liu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 1, pp. 86-93
Open Access | Times Cited: 22
ModNEF : An Open Source Modular Neuromorphic Emulator for FPGA for Low-Power In-Edge Artificial Intelligence
Aurélie Saulquin, Mazdak Fatahi, Pierre Boulet, et al.
ACM Transactions on Architecture and Code Optimization (2025)
Open Access
Sampling complex topology structures for spiking neural networks
Yan Shen, Qingyan Meng, Xiao Ming-qing, et al.
Neural Networks (2024) Vol. 172, pp. 106121-106121
Closed Access | Times Cited: 3
Modular Spiking Neural Membrane Systems for Image Classification
Iris Ermini, Claudio Zandron
International Journal of Neural Systems (2024) Vol. 34, Iss. 06
Open Access | Times Cited: 3
Spiking CenterNet: A Distillation-boosted Spiking Neural Network for Object Detection
Lennard Bodden, Duc Bach Ha, Franziska Schwaiger, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 30, pp. 1-9
Closed Access | Times Cited: 2
An End-To-End Neuromorphic Radio Classification System with an Efficient Sigma-Delta-Based Spike Encoding Scheme
Wenzhe Guo, Kuilian Yang, Haralampos‐G. Stratigopoulos, et al.
IEEE Transactions on Artificial Intelligence (2023) Vol. 5, Iss. 4, pp. 1869-1881
Open Access | Times Cited: 4
Learning long sequences in spiking neural networks
Matei-Ioan Stan, Oliver Rhodes
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
A cloud-edge framework for energy-efficient event-driven control: An integration of online supervised learning, spiking neural networks and local plasticity rules
Reza Ahmadvand, Safura Sharifi, Yaser M. Banadaki
Neuromorphic Computing and Engineering (2024) Vol. 4, Iss. 4, pp. 044004-044004
Open Access | Times Cited: 1
Time series prediction and anomaly detection with recurrent spiking neural networks
Yann Cherdo, Benoît Miramond, Alain Pégatoquet
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-10
Closed Access | Times Cited: 3
Embedded event based object detection with spiking neural network
Jonathan Courtois, Pierre-Emmanuel Novac, Edgar Lemaire, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 33, pp. 1-8
Closed Access
On Reducing Activity with Distillation and Regularization for Energy Efficient Spiking Neural Networks
Thomas A. Louis, Alain Pégatoquet, Benoît Miramond, et al.
Lecture notes in computer science (2024), pp. 407-421
Closed Access
Neuromorphic Event-Driven Semantic Communication in Microgrids
Xiaoguang Diao, Yubo Song, Subham Sahoo, et al.
IEEE Transactions on Smart Grid (2024) Vol. 15, Iss. 5, pp. 4300-4314
Open Access
SPIDEN: deep Spiking Neural Networks for efficient image denoising
Andréa Castagnetti, Alain Pégatoquet, Benoît Miramond
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 1
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