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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:

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

Showing 13 citing articles:

Deep Directly-Trained Spiking Neural Networks for Object Detection
Qiaoyi Su, Yuhong Chou, Yifan Hu, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 6532-6542
Open Access | Times Cited: 24
Roadmap to neuromorphic computing with emerging technologies
Adnan Mehonić, Daniele Ielmini, Kaushik Roy, et al.
APL Materials (2024) Vol. 12, Iss. 10
Open Access | Times Cited: 8
Toward Cognitive Machines: Evaluating Single Device Based Spiking Neural Networks for Brain-Inspired Computing
Faisal Bashir, Ali Alzahrani, Haider Abbas, et al.
ACS Applied Electronic Materials (2025)
Closed Access
SpikeAtConv: an integrated spiking-convolutional attention architecture for energy-efficient neuromorphic vision processing
Wangdan Liao, Fei Chen, Changyue Liu, et al.
Frontiers in Neuroscience (2025) Vol. 19
Open Access
Enabling scale and rotation invariance in convolutional neural networks with retina like transformation
Jiahong Zhang, Guoqi Li, Qiaoyi Su, et al.
Neural Networks (2025), pp. 107395-107395
Closed Access
A Synapse-Threshold Synergistic Learning Approach for Spiking Neural Networks
Hongze Sun, Wuque Cai, Baoxin Yang, et al.
IEEE Transactions on Cognitive and Developmental Systems (2023) Vol. 16, Iss. 2, pp. 544-558
Open Access | Times Cited: 12
Inherent Redundancy in Spiking Neural Networks
Man Yao, Jiakui Hu, Guangshe Zhao, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 16878-16888
Open Access | Times Cited: 11
Multi-scale full spike pattern for semantic segmentation
Qiaoyi Su, Weihua He, Xiaobao Wei, et al.
Neural Networks (2024) Vol. 176, pp. 106330-106330
Closed Access | Times Cited: 1
Enhanced accuracy in first-spike coding using current-based adaptive LIF neuron
Siying Liu, Pier Luigi Dragotti
Neural Networks (2024) Vol. 184, pp. 107043-107043
Closed Access | Times Cited: 1
SNN-BERT: Training-efficient Spiking Neural Networks for energy-efficient BERT
Qiaoyi Su, Shijie Mei, Xingrun Xing, et al.
Neural Networks (2024) Vol. 180, pp. 106630-106630
Closed Access
PAIBoard: A Neuromorphic Computing Platform for Hybrid Neural Networks in Robot Dog Application
Guang Chen, Jian Cao, Chenglong Zou, et al.
Electronics (2024) Vol. 13, Iss. 18, pp. 3619-3619
Open Access
Emerging Trends and Applications of Neuromorphic Dynamic Vision Sensors: A Survey
Hadi Aliakbarpour, Ahmad Moori, Javad Khorramdel, et al.
(2024) Vol. 1, pp. 14-63
Open Access
Artificial Intelligence without Restriction Surpassing Human Intelligence with Probability One: Theoretical Insight into Secrets of the Brain with AI Twins of the Brain
Guang-Bin Huang, M. Brandon Westover, Eng‐King Tan, et al.
Neurocomputing (2024), pp. 129053-129053
Open Access
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