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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:

Labelling instructions matter in biomedical image analysis
Tim Rädsch, Annika Reinke, Vivienn Weru, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 3, pp. 273-283
Open Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Unleashing the strengths of unlabelled data in deep learning-assisted pan-cancer abdominal organ quantification: the FLARE22 challenge
Jun Ma, Yao Zhang, Song Gu, et al.
The Lancet Digital Health (2024) Vol. 6, Iss. 11, pp. e815-e826
Open Access | Times Cited: 37
A comprehensive survey on deep active learning in medical image analysis
Haoran Wang, Qiuye Jin, Shiman Li, et al.
Medical Image Analysis (2024) Vol. 95, pp. 103201-103201
Open Access | Times Cited: 15
Machine Learning Empowering Personalized Medicine: A Comprehensive Review of Medical Image Analysis Methods
Irena Galić, Marija Habijan, Hrvoje Leventić, et al.
Electronics (2023) Vol. 12, Iss. 21, pp. 4411-4411
Open Access | Times Cited: 31
Automated building layout generation using deep learning and graph algorithms
Lufeng Wang, Jiepeng Liu, Zeng Yan, et al.
Automation in Construction (2023) Vol. 154, pp. 105036-105036
Closed Access | Times Cited: 24
Three Pathways for Standardisation and Ethical Disclosure by Default under the European Union Artificial Intelligence Act
Johann Laux, Sandra Wachter, Brent Mittelstadt
SSRN Electronic Journal (2023)
Open Access | Times Cited: 19
Artificial Intelligence for context-aware surgical guidance in complex robot-assisted oncological procedures: An exploratory feasibility study
Fiona R. Kolbinger, Sebastian Bodenstedt, Matthias Carstens, et al.
European Journal of Surgical Oncology (2023) Vol. 50, Iss. 12, pp. 106996-106996
Open Access | Times Cited: 18
A Labeling Intercomparison of Retrogressive Thaw Slumps by a Diverse Group of Domain Experts
Ingmar Nitze, Jurjen van der Sluijs, Sophia Barth, et al.
Permafrost and Periglacial Processes (2024)
Open Access | Times Cited: 7
Deep learning-enabled segmentation of ambiguous bioimages with deepflash2
Matthias Griebel, Dennis Segebarth, Nikolai Stein, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 14
A survey of label-noise deep learning for medical image analysis
Jialin Shi, Kailai Zhang, Chenyi Guo, et al.
Medical Image Analysis (2024) Vol. 95, pp. 103166-103166
Closed Access | Times Cited: 4
Confronting The Data Deluge: How Artificial Intelligence Can Be Used in the Study of Plant Stress
Eugene Koh, Rohan Shawn Sunil, Hilbert Yuen In Lam, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 3454-3466
Open Access | Times Cited: 4
Challenges as a framework for trustworthy AI
Michela Antonelli, Keyvan Farahani, Carole H. Sudre, et al.
Elsevier eBooks (2025), pp. 223-243
Closed Access
Navigating the unknown: out-of-distribution detection for medical imaging
Moritz Fuchs, Anastasios N. Angelopoulos, Magdalini Paschali, et al.
Elsevier eBooks (2025), pp. 73-99
Closed Access
Meta-YOLOv8: Meta-Learning-Enhanced YOLOv8 for Precise Traffic Light Color Detection in ADAS
Vasu Tammisetti, Georg Stettinger, Manuel Pegalájar Cuéllar, et al.
Electronics (2025) Vol. 14, Iss. 3, pp. 468-468
Open Access
Real world federated learning with a knowledge distilled transformer for cardiac CT imaging
Malte Tölle, Philipp Garthe, Clemens Scherer, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Hybrid Deep Learning and Active Contour Approach for Enhanced Breast Lesion Segmentation and Classification in Mammograms
Abdala Nour, Boubakeur Boufama
Intelligence-Based Medicine (2025) Vol. 11, pp. 100224-100224
Open Access
Deep learning-based image analysis in muscle histopathology using photo-realistic synthetic data
Leonid Mill, Oliver Aust, Jochen A. Ackermann, et al.
Communications Medicine (2025) Vol. 5, Iss. 1
Open Access
Vision Transformer-Based Unhealthy Tree Crown Detection in Mixed Northeastern US Forests and Evaluation of Annotation Uncertainty
Durga Joshi, Chandi Witharana
Remote Sensing (2025) Vol. 17, Iss. 6, pp. 1066-1066
Open Access
Anatomy segmentation in laparoscopic surgery: comparison of machine learning and human expertise – an experimental study
Fiona R. Kolbinger, Franziska M. Rinner, Alexander C. Jenke, et al.
International Journal of Surgery (2023)
Open Access | Times Cited: 11
Advanced optical imaging for the rational design of nanomedicines
Ana Ortiz‐Perez, Miao Zhang, Laurence W. Fitzpatrick, et al.
Advanced Drug Delivery Reviews (2023) Vol. 204, pp. 115138-115138
Open Access | Times Cited: 10
MSEF-Net: Multi-scale edge fusion network for lumbosacral plexus segmentation with MR image
Junyong Zhao, Liang Sun, Zhi Sun, et al.
Artificial Intelligence in Medicine (2024) Vol. 148, pp. 102771-102771
Closed Access | Times Cited: 3
Morphology Classification of Live Unstained Human Sperm Using Ensemble Deep Learning
Sahar Shahali, Manzur Murshed, Spencer Lindsay, et al.
Advanced Intelligent Systems (2024) Vol. 6, Iss. 11
Open Access | Times Cited: 3
LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems
Chu Li, Zhihan Zhang, Michael Saugstad, et al.
(2024), pp. 1-21
Open Access | Times Cited: 2
A labeling intercomparison of retrogressive thaw slumps by a diverse group of domain experts
Ingmar Nitze, Jurjen van der Sluijs, Sophia Barth, et al.
EarthArXiv (California Digital Library) (2024)
Open Access | Times Cited: 2
Health data space nodes for privacy-preserving linkage of medical data to support collaborative secondary analyses
Martin Baumgartner, Karl Kreiner, Aaron Lauschensky, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 2
Photoacoustic quantification of tissue oxygenation using conditional invertible neural networks
Jan-Hinrich Nölke, Tim Adler, Melanie Schellenberg, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 9, pp. 3366-3376
Open Access | Times Cited: 2
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