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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 1-25 of 71 citing articles:

TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks
Ruijie Zhu, Malu Zhang, Qihang Zhao, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 3, pp. 5112-5125
Open Access | Times Cited: 20
Neural Architecture Search for Spiking Neural Networks
Youngeun Kim, Yuhang Li, Hyoungseob Park, et al.
Lecture notes in computer science (2022), pp. 36-56
Closed Access | Times Cited: 52
A Memristive Spiking Neural Network Circuit With Selective Supervised Attention Algorithm
Zekun Deng, Chunhua Wang, Hairong Lin, et al.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2022) Vol. 42, Iss. 8, pp. 2604-2617
Open Access | Times Cited: 49
Beyond classification: directly training spiking neural networks for semantic segmentation
Youngeun Kim, Joshua Chough, Priyadarshini Panda
Neuromorphic Computing and Engineering (2022) Vol. 2, Iss. 4, pp. 044015-044015
Open Access | Times Cited: 47
Neuromorphic Data Augmentation for Training Spiking Neural Networks
Yuhang Li, Youngeun Kim, Hyoungseob Park, et al.
Lecture notes in computer science (2022), pp. 631-649
Closed Access | Times Cited: 44
Federated Learning With Spiking Neural Networks
Yeshwanth Venkatesha, Youngeun Kim, Leandros Tassiulas, et al.
IEEE Transactions on Signal Processing (2021) Vol. 69, pp. 6183-6194
Open Access | Times Cited: 47
Rate Coding Or Direct Coding: Which One Is Better For Accurate, Robust, And Energy-Efficient Spiking Neural Networks?
Youngeun Kim, Hyoungseob Park, Abhishek Moitra, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022), pp. 71-75
Open Access | Times Cited: 37
Backpropagation with biologically plausible spatiotemporal adjustment for training deep spiking neural networks
Guobin Shen, Dongcheng Zhao, Yi Zeng
Patterns (2022) Vol. 3, Iss. 6, pp. 100522-100522
Open Access | Times Cited: 36
Brain-inspired Multilayer Perceptron with Spiking Neurons
Wenshuo Li, Hanting Chen, Jianyuan Guo, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 773-783
Open Access | Times Cited: 30
Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN
Yangfan Hu, Qian Zheng, Xudong Jiang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 12, pp. 14546-14562
Open Access | Times Cited: 19
Masked Spiking Transformer
Ziqing Wang, Yuetong Fang, Jiahang Cao, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 1761-1771
Open Access | Times Cited: 18
STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks
Chengting Yu, Zheming Gu, Da Li, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 25
SpikeSim: An End-to-End Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks
Abhishek Moitra, Abhiroop Bhattacharjee, Runcong Kuang, et al.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2023) Vol. 42, Iss. 11, pp. 3815-3828
Open Access | Times Cited: 15
Sparser spiking activity can be better: Feature Refine-and-Mask spiking neural network for event-based visual recognition
Man Yao, Hengyu Zhang, Guangshe Zhao, et al.
Neural Networks (2023) Vol. 166, pp. 410-423
Closed Access | Times Cited: 13
NeuroCLIP: Neuromorphic Data Understanding by CLIP and SNN
Yufei Guo, Yuanpei Chen, Zhe Ma
IEEE Signal Processing Letters (2024) Vol. 31, pp. 246-250
Open Access | Times Cited: 5
Temporal Knowledge Sharing enable Spiking Neural Network Learning from Past and Future
Yiting Dong, Dongcheng Zhao, Yi Zeng
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 7, pp. 3524-3534
Open Access | Times Cited: 4
Fourier or Wavelet bases as counterpart self-attention in spikformer for efficient visual classification
Qingyu Wang, Duzhen Zhang, Xinyuan Cai, et al.
Frontiers in Neuroscience (2025) Vol. 18
Open Access
Msfi: Multi-Timescale Spatio-Temporal Features Integration in Spiking Neural Networks
Dengfeng Xue, Wenjuan Li, Chunfeng Yuan, et al.
(2025)
Closed Access
An accurate and fast learning approach in the biologically spiking neural network
Soheila Nazari, Masoud Amiri
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A hierarchical taxonomic survey of spiking neural networks
Siqi Wang, Tee Hiang Cheng, Meng Hiot Lim
Memetic Computing (2022) Vol. 14, Iss. 3, pp. 335-354
Closed Access | Times Cited: 19
Improved Residual Network based on norm-preservation for visual recognition
Bharat Mahaur, K. K. Mishra, Navjot Singh
Neural Networks (2022) Vol. 157, pp. 305-322
Closed Access | Times Cited: 19
Efficient training of spiking neural networks with temporally-truncated local backpropagation through time
Wenzhe Guo, Mohammed E. Fouda, Ahmed M. Eltawil, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 11
A fusion-based spiking neural network approach for predicting collaboration request in human-robot collaboration
Rong Zhang, Jie Li, Pai Zheng, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 78, pp. 102383-102383
Closed Access | Times Cited: 17
EventMix: An efficient data augmentation strategy for event-based learning
Guobin Shen, Dongcheng Zhao, Yi Zeng
Information Sciences (2023) Vol. 644, pp. 119170-119170
Open Access | Times Cited: 10
Improving Spiking Neural Network With Frequency Adaptation for Image Classification
Tao Chen, Lidan Wang, Jie Li, et al.
IEEE Transactions on Cognitive and Developmental Systems (2023) Vol. 16, Iss. 3, pp. 864-876
Closed Access | Times Cited: 9
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