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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:

Continual learning of context-dependent processing in neural networks
Guanxiong Zeng, Yang Chen, Bo Cui, et al.
Nature Machine Intelligence (2019) Vol. 1, Iss. 8, pp. 364-372
Closed Access | Times Cited: 216

Showing 1-25 of 216 citing articles:

If deep learning is the answer, what is the question?
Andrew Saxe, Stephanie Nelli, Christopher Summerfield
Nature reviews. Neuroscience (2020) Vol. 22, Iss. 1, pp. 55-67
Open Access | Times Cited: 340
Three types of incremental learning
Gido M. van de Ven, Tinne Tuytelaars, Andreas S. Tolias
Nature Machine Intelligence (2022) Vol. 4, Iss. 12, pp. 1185-1197
Open Access | Times Cited: 251
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang, Xingxing Zhang, Hang Su, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 8, pp. 5362-5383
Open Access | Times Cited: 172
Robust Spike-Based Continual Meta-Learning Improved by Restricted Minimum Error Entropy Criterion
Shuangming Yang, Jiangtong Tan, Badong Chen
Entropy (2022) Vol. 24, Iss. 4, pp. 455-455
Open Access | Times Cited: 142
Deep Class-Incremental Learning: A Survey
Da-Wei Zhou, Qiwei Wang, Zhihong Qi, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 57
Class-Incremental Learning: A Survey
Da-Wei Zhou, Qiwei Wang, Zhihong Qi, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 9851-9873
Open Access | Times Cited: 31
Understanding the Role of Training Regimes in Continual Learning
Seyed Iman Mirzadeh, Mehrdad Farajtabar, Razvan Pascanu, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 83
Training Networks in Null Space of Feature Covariance for Continual Learning
Shipeng Wang, Xiaorong Li, Jian Sun, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 184-193
Open Access | Times Cited: 74
A framework for the general design and computation of hybrid neural networks
Rong Zhao, Zheyu Yang, Hao Zheng, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 43
Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals
Timo Flesch, Dávid Nagy, Andrew Saxe, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 1, pp. e1010808-e1010808
Open Access | Times Cited: 37
Continual task learning in natural and artificial agents
Timo Flesch, Andrew Saxe, Christopher Summerfield
Trends in Neurosciences (2023) Vol. 46, Iss. 3, pp. 199-210
Open Access | Times Cited: 27
Where is the mind within the brain? Transient selection of subnetworks by metabotropic receptors and G protein-gated ion channels
Danko Nikolić
Computational Biology and Chemistry (2023) Vol. 103, pp. 107820-107820
Open Access | Times Cited: 25
A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials
Chuqiao Li, Zhiwu Huang, Danda Pani Paudel, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 1339-1349
Open Access | Times Cited: 24
Exemplar-free class incremental learning via discriminative and comparable parallel one-class classifiers
Wenju Sun, Qingyong Li, Jing Zhang, et al.
Pattern Recognition (2023) Vol. 140, pp. 109561-109561
Closed Access | Times Cited: 22
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
Zhenyi Wang, Enneng Yang, Li Shen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 47, Iss. 3, pp. 1464-1483
Open Access | Times Cited: 14
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Everton Lima Aleixo, Juan G. Colonna, Marco Cristo, et al.
Journal of the Brazilian Computer Society (2024) Vol. 30, Iss. 1
Open Access | Times Cited: 11
Incremental learning with multi-fidelity information fusion for digital twin-driven bearing fault diagnosis
Xufeng Huang, Tingli Xie, Shuyang Luo, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108212-108212
Closed Access | Times Cited: 9
What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection
Xiaohui Zhang, Jiangyan Yi, Chenglong Wang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 17, pp. 19569-19577
Open Access | Times Cited: 8
Gradient Projection Memory for Continual Learning
Gobinda Saha, Isha Garg, Kaushik Roy
arXiv (Cornell University) (2021)
Open Access | Times Cited: 55
Self-backpropagation of synaptic modifications elevates the efficiency of spiking and artificial neural networks
Tielin Zhang, Xiang Cheng, Shuncheng Jia, et al.
Science Advances (2021) Vol. 7, Iss. 43
Open Access | Times Cited: 55
The overfitted brain: Dreams evolved to assist generalization
Erik Hoel
Patterns (2021) Vol. 2, Iss. 5, pp. 100244-100244
Open Access | Times Cited: 51
An Intelligent Transient Stability Assessment Framework With Continual Learning Ability
Xin Li, Zeguo Yang, Panfeng Guo, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 17, Iss. 12, pp. 8131-8141
Closed Access | Times Cited: 49
Tuning Convolutional Spiking Neural Network With Biologically Plausible Reward Propagation
Tielin Zhang, Shuncheng Jia, Xiang Cheng, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 12, pp. 7621-7631
Open Access | Times Cited: 48
MgSvF: Multi-Grained Slow versus Fast Framework for Few-Shot Class-Incremental Learning
Hanbin Zhao, Yongjian Fu, Mintong Kang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) Vol. 46, Iss. 3, pp. 1576-1588
Closed Access | Times Cited: 44
One-shot Federated Learning without server-side training
Shangchao Su, Bin Li, Xiangyang Xue
Neural Networks (2023) Vol. 164, pp. 203-215
Open Access | Times Cited: 18
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