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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:

Generalizing from a Few Examples
Yaqing Wang, Quanming Yao, James T. Kwok, et al.
ACM Computing Surveys (2020) Vol. 53, Iss. 3, pp. 1-34
Closed Access | Times Cited: 1900

Showing 1-25 of 1900 citing articles:

Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
Pengfei Liu, Weizhe Yuan, Jinlan Fu, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 9, pp. 1-35
Open Access | Times Cited: 2039
Deep Learning for Anomaly Detection
Guansong Pang, Chunhua Shen, Longbing Cao, et al.
ACM Computing Surveys (2021) Vol. 54, Iss. 2, pp. 1-38
Open Access | Times Cited: 1535
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales, Antreas Antoniou, Paul Micaelli, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021), pp. 1-1
Open Access | Times Cited: 1322
Network intrusion detection system: A systematic study of machine learning and deep learning approaches
Zeeshan Ahmad, Adnan Shahid Khan, Cheah Wai Shiang, et al.
Transactions on Emerging Telecommunications Technologies (2020) Vol. 32, Iss. 1
Open Access | Times Cited: 790
A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development
Tianyu Wu, Shizhu He, Jingping Liu, et al.
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 5, pp. 1122-1136
Closed Access | Times Cited: 725
Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems
Laura von Rueden, Sebastian Mayer, Katharina Beckh, et al.
IEEE Transactions on Knowledge and Data Engineering (2021), pp. 1-1
Open Access | Times Cited: 559
Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things
Jing Zhang, Dacheng Tao
IEEE Internet of Things Journal (2020) Vol. 8, Iss. 10, pp. 7789-7817
Open Access | Times Cited: 526
A survey of human-in-the-loop for machine learning
Xingjiao Wu, Luwei Xiao, Yixuan Sun, et al.
Future Generation Computer Systems (2022) Vol. 135, pp. 364-381
Open Access | Times Cited: 387
Intelligent fault diagnosis of machines with small & imbalanced data: A state-of-the-art review and possible extensions
Tianci Zhang, Jinglong Chen, Fudong Li, et al.
ISA Transactions (2021) Vol. 119, pp. 152-171
Closed Access | Times Cited: 374
Learning the protein language: Evolution, structure, and function
Tristan Bepler, Bonnie Berger
Cell Systems (2021) Vol. 12, Iss. 6, pp. 654-669.e3
Open Access | Times Cited: 351
Human Action Recognition From Various Data Modalities: A Review
Zehua Sun, Qiuhong Ke, Hossein Rahmani, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-20
Open Access | Times Cited: 343
The myth of generalisability in clinical research and machine learning in health care
Joseph Futoma, Morgan Simons, Trishan Panch, et al.
The Lancet Digital Health (2020) Vol. 2, Iss. 9, pp. e489-e492
Open Access | Times Cited: 322
Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art
Maryam Karimi-Mamaghan, Mehrdad Mohammadi, Patrick Meyer, et al.
European Journal of Operational Research (2021) Vol. 296, Iss. 2, pp. 393-422
Open Access | Times Cited: 288
Deep Long-Tailed Learning: A Survey
Yifan Zhang, Bingyi Kang, Bryan Hooi, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 9, pp. 10795-10816
Open Access | Times Cited: 278
Few-Shot Learning approach for plant disease classification using images taken in the field
David Argüeso, Artzai Picón, Unai Irusta, et al.
Computers and Electronics in Agriculture (2020) Vol. 175, pp. 105542-105542
Closed Access | Times Cited: 268
Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review
Simon Elias Bibri, John Krogstie, Amin Kaboli, et al.
Environmental Science and Ecotechnology (2023) Vol. 19, pp. 100330-100330
Open Access | Times Cited: 250
Trustworthy AI: From Principles to Practices
Bo Li, Peng Qi, Bo Liu, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 9, pp. 1-46
Open Access | Times Cited: 242
Shifting machine learning for healthcare from development to deployment and from models to data
Angela Zhang, Lei Xing, James Zou, et al.
Nature Biomedical Engineering (2022) Vol. 6, Iss. 12, pp. 1330-1345
Open Access | Times Cited: 236
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song, Ting Wang, Puyu Cai, et al.
ACM Computing Surveys (2023) Vol. 55, Iss. 13s, pp. 1-40
Open Access | Times Cited: 236
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales, Antreas Antoniou, Paul Micaelli, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 227
A survey on data‐efficient algorithms in big data era
Amina Adadi
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 222
Illuminating the dark spaces of healthcare with ambient intelligence
Albert Haque, Arnold Milstein, Li Fei-Fei
Nature (2020) Vol. 585, Iss. 7824, pp. 193-202
Closed Access | Times Cited: 208
Machine learning and deep learning—A review for ecologists
Maximilian Pichler, Florian Härtig
Methods in Ecology and Evolution (2023) Vol. 14, Iss. 4, pp. 994-1016
Open Access | Times Cited: 184
Deep Cross-Domain Few-Shot Learning for Hyperspectral Image Classification
Zhaokui Li, Ming Liu, Yushi Chen, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-18
Closed Access | Times Cited: 177
Machine Learning Methods for Small Data Challenges in Molecular Science
Bozheng Dou, Zailiang Zhu, Ekaterina Merkurjev, et al.
Chemical Reviews (2023) Vol. 123, Iss. 13, pp. 8736-8780
Open Access | Times Cited: 175
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