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:

Operational greenhouse-gas emissions of deep learning in digital pathology: a modelling study
Alireza Vafaei Sadr, Roman D. Bülow, Saskia von Stillfried, et al.
The Lancet Digital Health (2023) Vol. 6, Iss. 1, pp. e58-e69
Open Access | Times Cited: 15

Showing 15 citing articles:

The new paradigm in machine learning – foundation models, large language models and beyond: a primer for physicians
Ian Scott, Guido Zuccon
Internal Medicine Journal (2024) Vol. 54, Iss. 5, pp. 705-715
Open Access | Times Cited: 5

Joining forces for pathology diagnostics with AI assistance: The EMPAIA initiative
Norman Zerbe, Lars Ole Schwen, Christian Geißler, et al.
Journal of Pathology Informatics (2024) Vol. 15, pp. 100387-100387
Open Access | Times Cited: 3

Why digital innovation may not reduce healthcare’s environmental footprint
Gabrielle Samuel, Geoffrey M. Anderson, Federica Lucivero, et al.
BMJ (2024), pp. e078303-e078303
Closed Access | Times Cited: 3

Road transportation emission prediction and policy formulation: Machine learning model analysis
Chengfeng Yin, Jiaxi Wu, Xialing Sun, et al.
Transportation Research Part D Transport and Environment (2024) Vol. 135, pp. 104390-104390
Closed Access | Times Cited: 3

Deep learning applications in digital pathology
Peter Boor
Nature Reviews Nephrology (2024) Vol. 20, Iss. 11, pp. 702-703
Closed Access | Times Cited: 2

Impacts environnementaux du numérique et de l’intelligence artificielle, à l’heure de la pathologie digitale
Thomas Guillory, Cyprien Tilmant, Alexis Trécourt, et al.
Annales de Pathologie (2024) Vol. 44, Iss. 5, pp. 353-360
Closed Access | Times Cited: 1

Decoding pathology: the role of computational pathology in research and diagnostics
David L. Hölscher, Roman D. Bülow
Pflügers Archiv - European Journal of Physiology (2024)
Open Access | Times Cited: 1

La pédagogie médicale en écologie et santé environnementale : un levier d’action durable
Marine Sarfati, Alexis Trécourt
Annales de Pathologie (2024) Vol. 44, Iss. 5, pp. 323-330
Closed Access | Times Cited: 1

Joining Forces for Pathology Diagnostics with AI Assistance: The EMPAIA Initiative
Norman Zerbe, Lars Ole Schwen, Christian Geißler, et al.
arXiv (Cornell University) (2024)
Open Access

Künstliche Intelligenz in der Nierentransplantationspathologie
Roman D. Bülow, Yu-Chia Lan, Kerstin Amann, et al.
Deleted Journal (2024) Vol. 45, Iss. 4, pp. 277-283
Closed Access

Out-of-distribution detection in digital pathology: Do foundation models bring the end to reconstruction-based approaches?
Milda Pocevičiūtė, Yifan Ding, Ruben Bromée, et al.
Computers in Biology and Medicine (2024), pp. 109327-109327
Closed Access

Ökologische Nachhaltigkeit von Deep Learning in der Pathologie
Saskia von Stillfried, Peter Boor
Deleted Journal (2024)
Closed Access

Surgical pathology and sustainable development: international landscape and prospects
Rémi Vergara, Ivan Théate, Peter Boor, et al.
Journal of Clinical Pathology (2024), pp. jcp-209555
Closed Access

Net Zero is not enough: ratcheting ambition for sustainable health systems through Reduce and Support
Colin Sue‐Chue‐Lam, Anand Bhopal, Joshua Parker, et al.
BMJ Global Health (2024) Vol. 8, Iss. Suppl 3, pp. e014617-e014617
Open Access

Ecologically sustainable benchmarking of AI models for histopathology
Yu-Chia Lan, Martin Strauch, Pourya Pilva, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access

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