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:

Artificial intelligence and illusions of understanding in scientific research
Lisa Messeri, Molly J. Crockett
Nature (2024) Vol. 627, Iss. 8002, pp. 49-58
Closed Access | Times Cited: 148

Showing 1-25 of 148 citing articles:

Self-Driving Laboratories for Chemistry and Materials Science
Gary Tom, Stefan P. Schmid, Sterling G. Baird, et al.
Chemical Reviews (2024) Vol. 124, Iss. 16, pp. 9633-9732
Open Access | Times Cited: 29

How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences
Shijie Jiang, Lily‐belle Sweet, Georgios Blougouras, et al.
Earth s Future (2024) Vol. 12, Iss. 7
Open Access | Times Cited: 25

AI-powered ultrasonic thermometry for HIFU therapy in deep organ
Shunyao Luan, Yongshuo Ji, Yumei Liu, et al.
Ultrasonics Sonochemistry (2024) Vol. 111, pp. 107154-107154
Open Access | Times Cited: 25

Larger and more instructable language models become less reliable
Lexin Zhou, Wout Schellaert, Fernando Martínez‐Plumed, et al.
Nature (2024) Vol. 634, Iss. 8032, pp. 61-68
Open Access | Times Cited: 23

Science communication with generative AI
Amanda A. Alvarez, Aylin Caliskan, Molly J. Crockett, et al.
Nature Human Behaviour (2024) Vol. 8, Iss. 4, pp. 625-627
Closed Access | Times Cited: 14

Generative Artificial Intelligence (GenAI) in the research process – a survey of researchers’ practices and perceptions
Jens Peter Andersen, Lise Degn, Rachel Fishberg, et al.
Technology in Society (2025), pp. 102813-102813
Open Access | Times Cited: 3

Automating the practice of science: Opportunities, challenges, and implications
Sebastian Musslick, Laura Bartlett, Suyog Chandramouli, et al.
Proceedings of the National Academy of Sciences (2025) Vol. 122, Iss. 5
Open Access | Times Cited: 1

Large language models that replace human participants can harmfully misportray and flatten identity groups
Angelina Wang, Jamie Morgenstern, John P. Dickerson
Nature Machine Intelligence (2025)
Closed Access | Times Cited: 1

Learning to see gravitational lenses
Sebastian Fernandez-Mulligan
Physics Today (2025) Vol. 2025, Iss. 02
Closed Access | Times Cited: 1

REFORMS: Consensus-based Recommendations for Machine-learning-based Science
Sayash Kapoor, Emily M. Cantrell, Kenny Peng, et al.
Science Advances (2024) Vol. 10, Iss. 18
Open Access | Times Cited: 12

Rethinking open source generative AI: open washing and the EU AI Act
Andreas Liesenfeld, Mark Dingemanse
2022 ACM Conference on Fairness, Accountability, and Transparency (2024)
Open Access | Times Cited: 10

Perils and opportunities in using large language models in psychological research
Suhaib Abdurahman, Mohammad Atari, Farzan Karimi-Malekabadi, et al.
PNAS Nexus (2024) Vol. 3, Iss. 7
Open Access | Times Cited: 9

Quantifying the use and potential benefits of artificial intelligence in scientific research
Jian Gao, Dashun Wang
Nature Human Behaviour (2024)
Closed Access | Times Cited: 7

The case for human–AI interaction as system 0 thinking
Massimo Chiriatti, Marianna Ganapini, Enrico Panai, et al.
Nature Human Behaviour (2024) Vol. 8, Iss. 10, pp. 1829-1830
Closed Access | Times Cited: 7

Why scientists trust AI too much — and what to do about it

Nature (2024) Vol. 627, Iss. 8003, pp. 243-243
Open Access | Times Cited: 6

Artificial intelligence investments reduce risks to critical mineral supply
Joaquin Vespignani, Russell Smyth
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 6

Using a fuzzy credibility neural network to select nanomaterials for nanosensors
Shougi Suliman Abosuliman, Saleem Abdullah, Ihsan Ullah
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108958-108958
Closed Access | Times Cited: 5

Enhancement and assessment in the AI age: An extended mind perspective
José Hernández‐Orallo
Journal of Pacific Rim Psychology (2025) Vol. 19
Open Access

Artificial intelligence and network science as tools to illustrate academic research evolution in interdisciplinary fields: The case of Italian design
Daniele Pretolesi, Ilaria Stanzani, Stefano Ravera, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0315216-e0315216
Open Access

How should the advancement of large language models affect the practice of science?
Marcel Binz, Stephan Alaniz, Adina L. Roskies, et al.
Proceedings of the National Academy of Sciences (2025) Vol. 122, Iss. 5
Open Access

Künstliche Intelligenz in den Naturwissenschaftsdidaktiken – gekommen, um zu bleiben: Potenziale, Desiderata, Herausforderungen
Andreas Nehring, David Buschhüter, Marcus Kubsch, et al.
Zeitschrift für Didaktik der Naturwissenschaften (2025) Vol. 31, Iss. 1
Open Access

Intuitive Human–Artificial Intelligence Theranostic Complementarity
J. Harvey Turner
Cancer Biotherapy and Radiopharmaceuticals (2025)
Closed Access

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