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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:

Meta-learning in natural and artificial intelligence
Jane X. Wang
Current Opinion in Behavioral Sciences (2021) Vol. 38, pp. 90-95
Open Access | Times Cited: 117

Showing 1-25 of 117 citing articles:

A substrate-less nanomesh receptor with meta-learning for rapid hand task recognition
Kyun Kyu Kim, Min Kim, Kyungrok Pyun, et al.
Nature Electronics (2022)
Closed Access | Times Cited: 100
Organizing memories for generalization in complementary learning systems
Weinan Sun, Madhu Advani, Nelson Spruston, et al.
Nature Neuroscience (2023) Vol. 26, Iss. 8, pp. 1438-1448
Open Access | Times Cited: 43
Meta-learning approaches for few-shot learning: A survey of recent advances
Hassan Gharoun, Fereshteh Momenifar, Fang Chen, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 12, pp. 1-41
Open Access | Times Cited: 20
Machine Learning for Millimeter Wave and Terahertz Beam Management: A Survey and Open Challenges
Muhammad Qurratulain Khan, Abdo Gaber, Philipp Schulz, et al.
IEEE Access (2023) Vol. 11, pp. 11880-11902
Open Access | Times Cited: 40
Bottom-Up and Top-Down Approaches for the Design of Neuromorphic Processing Systems: Tradeoffs and Synergies Between Natural and Artificial Intelligence
Charlotte Frenkel, David Bol, Giacomo Indiveri
Proceedings of the IEEE (2023) Vol. 111, Iss. 6, pp. 623-652
Open Access | Times Cited: 36
A comprehensive survey on 6G and beyond: Enabling technologies, opportunities of machine learning and challenges
Aqeel Thamer Jawad, Rihab Mâaloul, Lamia Chaari Fourati
Computer Networks (2023) Vol. 237, pp. 110085-110085
Closed Access | Times Cited: 25
Learning from models beyond fine-tuning
Hongling Zheng, Li Shen, Anke Tang, et al.
Nature Machine Intelligence (2025)
Closed Access | Times Cited: 1
Structure transfer and consolidation in visual implicit learning
Dominik Garber, József Fiser
(2025)
Open Access | Times Cited: 1
Post-injury pain and behaviour: a control theory perspective
Ben Seymour, Robyn J. Crook, Zhe Chen
Nature reviews. Neuroscience (2023) Vol. 24, Iss. 6, pp. 378-392
Open Access | Times Cited: 16
Specific connectivity optimizes learning in thalamocortical loops
Kaushik J. Lakshminarasimhan, Marjorie Xie, Jeremy D. Cohen, et al.
Cell Reports (2024) Vol. 43, Iss. 4, pp. 114059-114059
Open Access | Times Cited: 6
How much intelligence is there in artificial intelligence? A 2020 update
Han L. J. van der Maas, Lukas Snoek, Claire E. Stevenson
Intelligence (2021) Vol. 87, pp. 101548-101548
Open Access | Times Cited: 38
Towards the next generation of recurrent network models for cognitive neuroscience
Guangyu Robert Yang, Manuel Molano‐Mazón
Current Opinion in Neurobiology (2021) Vol. 70, pp. 182-192
Open Access | Times Cited: 34
Reinforcement learning establishes a minimal metacognitive process to monitor and control motor learning performance
Taisei Sugiyama, Nicolas Schweighofer, Jun Izawa
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 15
Recurrent networks endowed with structural priors explain suboptimal animal behavior
Manuel Molano‐Mazón, Yuxiu Shao, Daniel Duque, et al.
Current Biology (2023) Vol. 33, Iss. 4, pp. 622-638.e7
Open Access | Times Cited: 14
Meta-Health: Learning-to-Learn (Meta-learning) as a Next Generation of Deep Learning Exploring Healthcare Challenges and Solutions for Rare Disorders: A Systematic Analysis
Kuljeet Singh, Deepti Malhotra
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4081-4112
Closed Access | Times Cited: 14
Modeling, Replicating, and Predicting Human Behavior: A Survey
Andrew Fuchs, Andrea Passarella, Marco Conti
ACM Transactions on Autonomous and Adaptive Systems (2023) Vol. 18, Iss. 2, pp. 1-47
Open Access | Times Cited: 13
A meta-learning method for few-shot bearing fault diagnosis under variable working conditions
Liang Zeng, Junjie Jian, Xinyu Chang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056205-056205
Open Access | Times Cited: 5
Understanding the development of reward learning through the lens of meta-learning
Kate Nussenbaum, Catherine A. Hartley
Nature Reviews Psychology (2024) Vol. 3, Iss. 6, pp. 424-438
Closed Access | Times Cited: 5
Challenges, evaluation and opportunities for open-world learning
Mayank Kejriwal, Eric Kildebeck, Robert J. Steininger, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 6, pp. 580-588
Closed Access | Times Cited: 5
Structure transfer and consolidation in visual implicit learning
Dominik Garber, József Fiser
(2025)
Open Access
AutomaticAI – A hybrid approach for automatic artificial intelligence algorithm selection and hyperparameter tuning
Zoltan Czako, Gheorghe Sebestyen, Anca Hângan
Expert Systems with Applications (2021) Vol. 182, pp. 115225-115225
Closed Access | Times Cited: 30
Organizing memories for generalization in complementary learning systems
Weinan Sun, Madhu Advani, Nelson Spruston, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 28
Statistical Learning in Vision
József Fiser, Gábor Lengyel
Annual Review of Vision Science (2022) Vol. 8, Iss. 1, pp. 265-290
Open Access | Times Cited: 19
Enhancing Metacognitive and Creativity Skills through AI-Driven Meta-Learning Strategies
Khusnul Khotimah, Rusijono, Andi Mariono
International Journal of Interactive Mobile Technologies (iJIM) (2024) Vol. 18, Iss. 05, pp. 18-31
Open Access | Times Cited: 4
Learning environment-specific learning rates
Jonas Simoens, Tom Verguts, Senne Braem
PLoS Computational Biology (2024) Vol. 20, Iss. 3, pp. e1011978-e1011978
Open Access | Times Cited: 4
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