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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:

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: 126

Showing 1-25 of 126 citing articles:

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: 242
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: 151
Battery safety: Machine learning-based prognostics
Jingyuan Zhao, Xuning Feng, Quanquan Pang, et al.
Progress in Energy and Combustion Science (2024) Vol. 102, pp. 101142-101142
Open Access | Times Cited: 53
A CNN-BiGRU-AM neural network for AI applications in shale oil production prediction
Guangzhao Zhou, Zanquan Guo, Simin Sun, et al.
Applied Energy (2023) Vol. 344, pp. 121249-121249
Closed Access | Times Cited: 45
Multi-source information fusion: Progress and future
Xinde Li, Fir Dunkin, Jean Dezert
Chinese Journal of Aeronautics (2023) Vol. 37, Iss. 7, pp. 24-58
Open Access | Times Cited: 40
Brain-inspired learning in artificial neural networks: A review
Samuel Schmidgall, Rojin Ziaei, Jascha Achterberg, et al.
APL Machine Learning (2024) Vol. 2, Iss. 2
Open Access | Times Cited: 34
End-Edge-Cloud Collaborative Computing for Deep Learning: A Comprehensive Survey
Yingchao Wang, Chen Yang, Shulin Lan, et al.
IEEE Communications Surveys & Tutorials (2024) Vol. 26, Iss. 4, pp. 2647-2683
Closed Access | Times Cited: 17
Two-Dimensional Materials for Brain-Inspired Computing Hardware
Shreyash Hadke, Min‐A Kang, Vinod K. Sangwan, et al.
Chemical Reviews (2025)
Closed Access | Times Cited: 1
Theories of synaptic memory consolidation and intelligent plasticity for continual learning
Friedemann Zenke, Axel Laborieux
Elsevier eBooks (2025)
Open Access | Times Cited: 1
Preserving and combining knowledge in robotic lifelong reinforcement learning
Yuan Meng, Zhenshan Bing, Xiangtong Yao, et al.
Nature Machine Intelligence (2025)
Open Access | Times Cited: 1
CEL: A Continual Learning Model for Disease Outbreak Prediction by Leveraging Domain Adaptation via Elastic Weight Consolidation
Saba Aslam, Abdur Rasool, Xiaoli Li, et al.
Interdisciplinary Sciences Computational Life Sciences (2025)
Open Access | Times Cited: 1
Deep learning in business analytics: A clash of expectations and reality
Marc Schmitt
International Journal of Information Management Data Insights (2022) Vol. 3, Iss. 1, pp. 100146-100146
Open Access | Times Cited: 45
Battery prognostics and health management for electric vehicles under industry 4.0
Jingyuan Zhao, Andrew Burke
Journal of Energy Chemistry (2023) Vol. 84, pp. 30-33
Closed Access | Times Cited: 35
Incorporating neuro-inspired adaptability for continual learning in artificial intelligence
Liyuan Wang, Xingxing Zhang, Qian Li, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 12, pp. 1356-1368
Open Access | Times Cited: 30
Online dynamical learning and sequence memory with neuromorphic nanowire networks
Ruomin Zhu, Sam Lilak, Alon Loeffler, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 21
Battery health diagnostics: Bridging the gap between academia and industry
Zhenghong Wang, Dapai Shi, Jingyuan Zhao, et al.
eTransportation (2023) Vol. 19, pp. 100309-100309
Closed Access | Times Cited: 21
Concepts and applications of digital twins in healthcare and medicine
Kang Zhang, Hong-Yu Zhou, Daniel T. Baptista‐Hon, et al.
Patterns (2024) Vol. 5, Iss. 8, pp. 101028-101028
Open Access | Times Cited: 13
A collective AI via lifelong learning and sharing at the edge
Andrea Soltoggio, Eseoghene Ben-Iwhiwhu, Vladimir Braverman, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 3, pp. 251-264
Open Access | Times Cited: 9
Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning
Jiangrong Shen, Wenyao Ni, Qi Xu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 1, pp. 611-619
Open Access | Times Cited: 8
Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights
Kamil Faber, Roberto Corizzo, Bartłomiej Śnieżyński, et al.
IEEE Access (2024) Vol. 12, pp. 41364-41380
Open Access | Times Cited: 7
The application of artificial intelligence to biology and neuroscience
Blake A. Richards, Doris Y. Tsao, Anthony M. Zador
Cell (2022) Vol. 185, Iss. 15, pp. 2640-2643
Open Access | Times Cited: 32
Neuromuscular control: from a biomechanist's perspective
Daanish M. Mulla, Peter J. Keir
Frontiers in Sports and Active Living (2023) Vol. 5
Open Access | Times Cited: 19
Transfer Learning of Fuzzy Spatio-Temporal Rules in a Brain-Inspired Spiking Neural Network Architecture: A Case Study on Spatio-Temporal Brain Data
Nikola Kasabov, Yongyao Tan, Maryam Doborjeh, et al.
IEEE Transactions on Fuzzy Systems (2023) Vol. 31, Iss. 12, pp. 4542-4552
Open Access | Times Cited: 19
Continual Deep Learning for Time Series Modeling
Sio-Iong Ao, Haytham M. Fayek
Sensors (2023) Vol. 23, Iss. 16, pp. 7167-7167
Open Access | Times Cited: 18
Survey of continuous deep learning methods and techniques used for incremental learning
Justin Leo, Jugal Kalita
Neurocomputing (2024) Vol. 582, pp. 127545-127545
Closed Access | Times Cited: 7
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