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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:

Lifelong Learning of Spatiotemporal Representations With Dual-Memory Recurrent Self-Organization
German I. Parisi, Jun Tani, Cornelius Weber, et al.
Frontiers in Neurorobotics (2018) Vol. 12
Open Access | Times Cited: 133

Showing 1-25 of 133 citing articles:

Continual lifelong learning with neural networks: A review
German I. Parisi, Ronald Kemker, Jose L. Part, et al.
Neural Networks (2019) Vol. 113, pp. 54-71
Open Access | Times Cited: 2461
Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges
Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, et al.
Information Fusion (2019) Vol. 58, pp. 52-68
Open Access | Times Cited: 363
Brain-inspired replay for continual learning with artificial neural networks
Gido M. van de Ven, Hava T. Siegelmann, Andreas S. Tolias
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 335
Continuous learning in single-incremental-task scenarios
Davide Maltoni, Vincenzo Lomonaco
Neural Networks (2019) Vol. 116, pp. 56-73
Open Access | Times Cited: 276
REMIND Your Neural Network to Prevent Catastrophic Forgetting
Tyler L. Hayes, Kushal Kafle, Robik Shrestha, et al.
Lecture notes in computer science (2020), pp. 466-483
Closed Access | Times Cited: 193
Biological underpinnings for lifelong learning machines
Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 3, pp. 196-210
Closed Access | Times Cited: 130
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis
Tyler L. Hayes, Christopher Kanan
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2020), pp. 887-896
Open Access | Times Cited: 111
Continual learning for recurrent neural networks: An empirical evaluation
Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, et al.
Neural Networks (2021) Vol. 143, pp. 607-627
Open Access | Times Cited: 97
Replay in Deep Learning: Current Approaches and Missing Biological Elements
Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, et al.
Neural Computation (2021), pp. 1-44
Open Access | Times Cited: 85
Electric Vehicle Batteries: Status and Perspectives of Data-Driven Diagnosis and Prognosis
Jingyuan Zhao, Andrew Burke
Batteries (2022) Vol. 8, Iss. 10, pp. 142-142
Open Access | Times Cited: 51
Graph Lifelong Learning: A Survey
Falih Gozi Febrinanto, Feng Xia, Kristen Moore, et al.
IEEE Computational Intelligence Magazine (2023) Vol. 18, Iss. 1, pp. 32-51
Open Access | Times Cited: 35
Lifelong Machine Learning Potentials
Marco Eckhoff, Markus Reiher
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 12, pp. 3509-3525
Open Access | Times Cited: 23
Data Generation for Machine Learning Interatomic Potentials and Beyond
Maksim Kulichenko, Benjamin Nebgen, Nicholas Lubbers, et al.
Chemical Reviews (2024) Vol. 124, Iss. 24, pp. 13681-13714
Closed Access | Times Cited: 10
A transdisciplinary view on curiosity beyond linguistic humans: animals, infants, and artificial intelligence
Sofia Forss, Alejandra Ciria, Fay E. Clark, et al.
Biological reviews/Biological reviews of the Cambridge Philosophical Society (2024) Vol. 99, Iss. 3, pp. 979-998
Open Access | Times Cited: 8
Imbalanced Continual Learning with Partitioning Reservoir Sampling
Chris Dongjoo Kim, Jinseo Jeong, Gunhee Kim
Lecture notes in computer science (2020), pp. 411-428
Open Access | Times Cited: 64
Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches
Vincenzo Lomonaco, Davide Maltoni, Lorenzo Pellegrini
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2020)
Open Access | Times Cited: 50
DualNet: Continual Learning, Fast and Slow
Quang Pham, Liu Chenghao, Steven C. H. Hoi
arXiv (Cornell University) (2021)
Open Access | Times Cited: 47
Domain-Incremental Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition
Nikhil Churamani, Özgür Kara, Hatice Güneş
IEEE Transactions on Affective Computing (2022) Vol. 14, Iss. 4, pp. 3191-3206
Open Access | Times Cited: 30
Continual Learning for Affective Robotics: Why, What and How?
Nikhil Churamani, Sinan Kalkan, Hatice Güneş
(2020), pp. 425-431
Open Access | Times Cited: 47
Knowledge extraction and retention based continual learning by using convolutional autoencoder-based learning classifier system
Muhammad Irfan, Jiangbin Zheng, Muhammad Iqbal, et al.
Information Sciences (2022) Vol. 591, pp. 287-305
Closed Access | Times Cited: 26
Contributions by metaplasticity to solving the Catastrophic Forgetting Problem
Peter Jedlička, Matúš Tomko, Anthony Robins, et al.
Trends in Neurosciences (2022) Vol. 45, Iss. 9, pp. 656-666
Closed Access | Times Cited: 23
Human-Robot Teaming: Grand Challenges
Manisha Natarajan, Esmaeil Seraj, Batuhan Altundas, et al.
Current Robotics Reports (2023) Vol. 4, Iss. 3, pp. 81-100
Closed Access | Times Cited: 15
SOINN+, a Self-Organizing Incremental Neural Network for Unsupervised Learning from Noisy Data Streams
Chayut Wiwatcharakoses, Daniel Berrar
Expert Systems with Applications (2019) Vol. 143, pp. 113069-113069
Closed Access | Times Cited: 38
A novel lifelong learning model based on cross domain knowledge extraction and transfer to classify underwater images
Muhammad Irfan, Jiangbin Zheng, Muhammad Iqbal, et al.
Information Sciences (2020) Vol. 552, pp. 80-101
Closed Access | Times Cited: 33
Continual Learning by Using Information of Each Class Holistically
Wenpeng Hu, Qi Qin, Mengyu Wang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 9, pp. 7797-7805
Open Access | Times Cited: 31
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