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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:

Optimizing Deeper Spiking Neural Networks for Dynamic Vision Sensing
Youngeun Kim, Priyadarshini Panda
Neural Networks (2021) Vol. 144, pp. 686-698
Open Access | Times Cited: 71

Showing 26-50 of 71 citing articles:

EventAugment: Learning Augmentation Policies from Asynchronous Event-based Data
Fuqiang Gu, Jiarui Dou, Mingyan Li, et al.
IEEE Transactions on Cognitive and Developmental Systems (2024) Vol. 16, Iss. 4, pp. 1521-1532
Closed Access | Times Cited: 3
Spiking Neural Networks for event-based action recognition: A new task to understand their advantage
Álex Vicente, Davide L. Manna, Paul Kirkland, et al.
Neurocomputing (2024), pp. 128657-128657
Open Access | Times Cited: 3
PrivateSNN: Privacy-Preserving Spiking Neural Networks
Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 1, pp. 1192-1200
Open Access | Times Cited: 13
Advancing Fault Prediction: A Comparative Study between LSTM and Spiking Neural Networks
Rute Souza de Abreu, Ivanovitch Silva, Yuri Thomas Pinheiro Nunes, et al.
Processes (2023) Vol. 11, Iss. 9, pp. 2772-2772
Open Access | Times Cited: 7
Parallel hyperparameter optimization of spiking neural networks
Thomas Firmin, Pierre Boulet, El-Ghazali Talbi
Neurocomputing (2024) Vol. 609, pp. 128483-128483
Open Access | Times Cited: 2
Tensor decomposition based attention module for spiking neural networks
Haoyu Deng, Ruijie Zhu, Xuerui Qiu, et al.
Knowledge-Based Systems (2024) Vol. 295, pp. 111780-111780
Open Access | Times Cited: 2
Complementary memtransistors for neuromorphic computing: How, what and why
Qi Chen, Yue Zhou, Weiwei Xiong, et al.
Journal of Semiconductors (2024) Vol. 45, Iss. 6, pp. 061701-061701
Closed Access | Times Cited: 2
Real-Time Anomaly Detection Using Hardware-based Unsupervised Spiking Neural Network (TinySNN)
Ali Mehrabi, Nik Dennler, Yeshwanth Bethi, et al.
(2024), pp. 1-8
Closed Access | Times Cited: 2
Application of Event Cameras and Neuromorphic Computing to VSLAM: A Survey
Sangay Tenzin, Alexander Rassau, Douglas Chai
Biomimetics (2024) Vol. 9, Iss. 7, pp. 444-444
Open Access | Times Cited: 2
Auto-Spikformer: Spikformer architecture search
Kaiwei Che, Zhaokun Zhou, Jun Niu, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 2
Low Precision Quantization-aware Training in Spiking Neural Networks with Differentiable Quantization Function
Ayan Shymyrbay, Mohammed E. Fouda, Ahmed M. Eltawil
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-8
Open Access | Times Cited: 5
An improved probabilistic spiking neural network with enhanced discriminative ability
Yongqi Ding, Lin Zuo, K. T. Yang, et al.
Knowledge-Based Systems (2023) Vol. 280, pp. 111024-111024
Closed Access | Times Cited: 5
STCA-SNN: self-attention-based temporal-channel joint attention for spiking neural networks
Xiyan Wu, Yong Song, Ya Zhou, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 5
A Privacy and Energy-Aware Federated Framework for Human Activity Recognition
Ahsan Raza Khan, Habib Ullah Manzoor, Fahad Ayaz, et al.
Sensors (2023) Vol. 23, Iss. 23, pp. 9339-9339
Open Access | Times Cited: 5
A novel learning approach in deep spiking neural networks with multi-objective optimization algorithms for automatic digit speech recognition
Melika Hamian, Karim Faez, Soheila Nazari, et al.
The Journal of Supercomputing (2023) Vol. 79, Iss. 18, pp. 20263-20288
Closed Access | Times Cited: 4
Comprehensive review of different artificial intelligence-based methods for credit risk assessment in data science
Vadipina Amarnadh, Nageswara Rao Moparthi
Intelligent Decision Technologies (2023) Vol. 17, Iss. 4, pp. 1265-1282
Closed Access | Times Cited: 4
An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain
Xiang He, Dongcheng Zhao, Yang Li, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 1, pp. 512-520
Open Access | Times Cited: 1
Stellar: Energy-Efficient and Low-Latency SNN Algorithm and Hardware Co-Design with Spatiotemporal Computation
Ruixin Mao, Lin Tang, Xingyu Yuan, et al.
(2024) Vol. 34, pp. 172-185
Closed Access | Times Cited: 1
Application of Event Cameras and Neuromorphic Computing to VSLAM: A Survey
Sangay Tenzin, Alexander Rassau, Douglas Chai
(2024)
Open Access | Times Cited: 1
Two sparsities are better than one: unlocking the performance benefits of sparse–sparse networks
Kevin Hunter, Lawrence Spracklen, Subutai Ahmad
Neuromorphic Computing and Engineering (2022) Vol. 2, Iss. 3, pp. 034004-034004
Open Access | Times Cited: 7
Training-aware Low Precision Quantization in Spiking Neural Networks
Ayan Shymyrbay, Mohammed E. Fouda, Ahmed M. Eltawil
2014 48th Asilomar Conference on Signals, Systems and Computers (2022), pp. 1147-1151
Closed Access | Times Cited: 6
Artificial intelligence-based spatio-temporal vision sensors: applications and prospects
Zhixue Li, Hongwei Sun
Frontiers in Materials (2023) Vol. 10
Open Access | Times Cited: 3
BP-SRM: A directly training algorithm for spiking neural network constructed by spike response model
Jun Wang, Tianfu Li, Chuang Sun, et al.
Neurocomputing (2023) Vol. 560, pp. 126832-126832
Closed Access | Times Cited: 2
Real-Time Target Tracking System With Spiking Neural Networks Implemented on Neuromorphic Chips
Kefei Liu, Xiaoxin Cui, Xiang Ji, et al.
IEEE Transactions on Circuits & Systems II Express Briefs (2022) Vol. 70, Iss. 4, pp. 1590-1594
Closed Access | Times Cited: 3
Training Ultra-Low-Latency Spiking Neural Networks from Scratch
Gourav Datta, Zeyu Liu, Peter A. Beerel
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 13046-13050
Closed Access

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