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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:

Shortcut learning in deep neural networks
Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis, et al.
Nature Machine Intelligence (2020) Vol. 2, Iss. 11, pp. 665-673
Closed Access | Times Cited: 484

Showing 1-25 of 484 citing articles:

On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1539
A guide to machine learning for biologists
Joe G. Greener, Shaun M. Kandathil, Lewis Moffat, et al.
Nature Reviews Molecular Cell Biology (2021) Vol. 23, Iss. 1, pp. 40-55
Open Access | Times Cited: 1234
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
Dan Hendrycks, Steven Basart, Norman Mu, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 698
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, et al.
(2021)
Closed Access | Times Cited: 387
Data and its (dis)contents: A survey of dataset development and use in machine learning research
Amandalynne Paullada, Inioluwa Deborah Raji, Emily M. Bender, et al.
Patterns (2021) Vol. 2, Iss. 11, pp. 100336-100336
Open Access | Times Cited: 369
Underspecification Presents Challenges for Credibility in Modern Machine Learning
Alexander D’Amour, Katherine Heller, Dan Moldovan, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 359
AI for radiographic COVID-19 detection selects shortcuts over signal
Alex J. DeGrave, Joseph D. Janizek, Su‐In Lee
Nature Machine Intelligence (2021) Vol. 3, Iss. 7, pp. 610-619
Open Access | Times Cited: 341
Towards a standard for identifying and managing bias in artificial intelligence
Reva Schwartz, Apostol Vassilev, Kristen Greene, et al.
(2022)
Open Access | Times Cited: 289
Measuring Massive Multitask Language Understanding
Dan Hendrycks, Collin Burns, Steven Basart, et al.
International Conference on Learning Representations (2021)
Closed Access | Times Cited: 288
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh, Shiori Sagawa, Henrik Marklund, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 269
Use of artificial intelligence for image analysis in breast cancer screening programmes: systematic review of test accuracy
Karoline Freeman, Julia Geppert, Chris Stinton, et al.
BMJ (2021), pp. n1872-n1872
Open Access | Times Cited: 241
Natural Adversarial Examples
Dan Hendrycks, Kevin Zhao, Steven Basart, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 212
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls, and Perspectives
Alexander Mathis, Steffen Schneider, Jessy Lauer, et al.
Neuron (2020) Vol. 108, Iss. 1, pp. 44-65
Open Access | Times Cited: 207
Factual Probing Is [MASK]: Learning vs. Learning to Recall
Zexuan Zhong, Dan Friedman, Danqi Chen
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
Open Access | Times Cited: 205
Towards neural Earth system modelling by integrating artificial intelligence in Earth system science
Christopher Irrgang, Niklas Boers, Maike Sonnewald, et al.
Nature Machine Intelligence (2021) Vol. 3, Iss. 8, pp. 667-674
Open Access | Times Cited: 192
Learning earth system models from observations: machine learning or data assimilation?
Alan Geer
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2021) Vol. 379, Iss. 2194
Open Access | Times Cited: 191
Improving robustness against common corruptions by covariate shift adaptation
Steffen Schneider, Evgenia Rusak, Luisa Eck, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 140
Data augmentation using Generative Adversarial Networks (GANs) for GAN-based detection of Pneumonia and COVID-19 in chest X-ray images
Saman Motamed, Patrik Rogalla, Farzad Khalvati
Informatics in Medicine Unlocked (2021) Vol. 27, pp. 100779-100779
Open Access | Times Cited: 126
Gender Bias in Machine Translation
Beatrice Savoldi, Marco Gaido, Luisa Bentivogli, et al.
Transactions of the Association for Computational Linguistics (2021) Vol. 9, pp. 845-874
Open Access | Times Cited: 112
CLEVR-XAI: A benchmark dataset for the ground truth evaluation of neural network explanations
Leila Arras, Ahmed Osman, Wojciech Samek
Information Fusion (2021) Vol. 81, pp. 14-40
Open Access | Times Cited: 105
Toward Generalizability in the Deployment of Artificial Intelligence in Radiology: Role of Computation Stress Testing to Overcome Underspecification
Thomas Eche, Lawrence H. Schwartz, Fatima‐Zohra Mokrane, et al.
Radiology Artificial Intelligence (2021) Vol. 3, Iss. 6
Open Access | Times Cited: 103
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation
Alisa Liu, Swabha Swayamdipta, Noah A. Smith, et al.
(2022)
Open Access | Times Cited: 96
Causal Attention for Interpretable and Generalizable Graph Classification
Yongduo Sui, Xiang Wang, Jiancan Wu, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), pp. 1696-1705
Open Access | Times Cited: 91
Large Language Models as Zero-Shot Conversational Recommenders
Zhankui He, Zhouhang Xie, R. K. Jha, et al.
(2023), pp. 720-730
Open Access | Times Cited: 45
Performance vs. competence in human–machine comparisons
Chaz Firestone
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 43, pp. 26562-26571
Open Access | Times Cited: 124
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