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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:

AI Slipping on Tiles: Data Leakage in Digital Pathology
Nicole Bussola, Alessia Marcolini, Valerio Maggio, et al.
Lecture notes in computer science (2021), pp. 167-182
Closed Access | Times Cited: 24

Showing 24 citing articles:

BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images
Nadia Brancati, Anna Maria Anniciello, Pushpak Pati, et al.
Database (2022) Vol. 2022
Open Access | Times Cited: 53
Inflation of test accuracy due to data leakage in deep learning-based classification of OCT images
Iulian Emil Tampu, Anders Eklund, Neda Haj‐Hosseini
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 46
Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathology
André Homeyer, Christian Geißler, Lars Ole Schwen, et al.
Modern Pathology (2022) Vol. 35, Iss. 12, pp. 1759-1769
Open Access | Times Cited: 42
Extracting interpretable signatures of whole-brain dynamics through systematic comparison
Annie G. Bryant, Kevin Aquino, Linden Parkes, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 5
When bioprocess engineering meets machine learning: A survey from the perspective of automated bioprocess development
Nghia Duong‐Trung, Stefan Born, Jong Woo Kim, et al.
Biochemical Engineering Journal (2022) Vol. 190, pp. 108764-108764
Open Access | Times Cited: 22
Methodologies for Monitoring Mental Health on Twitter: Systematic Review
Nina H. Di Cara, Valerio Maggio, Oliver S. P. Davis, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e42734-e42734
Open Access | Times Cited: 14
Investigating the Quality of DermaMNIST and Fitzpatrick17k Dermatological Image Datasets
Kumar Abhishek, Aditi Jain, Ghassan Hamarneh
Scientific Data (2025) Vol. 12, Iss. 1
Open Access
Deep learning-driven segmentation of ischemic stroke lesions using multi-channel MRI
Ashiqur Rahman, Muhammad E. H. Chowdhury, Md Sharjis Ibne Wadud, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107676-107676
Closed Access
Mild Cognitive Impairment Detection Using Machine Learning Models Trained on Data Collected from Serious Games
Christos Karapapas, Christos Goumopoulos
Applied Sciences (2021) Vol. 11, Iss. 17, pp. 8184-8184
Open Access | Times Cited: 26
A Weakly Supervised Deep Learning Framework for Whole Slide Classification to Facilitate Digital Pathology in Animal Study
Nicole Bussola, Joshua Xu, Leihong Wu, et al.
Chemical Research in Toxicology (2023) Vol. 36, Iss. 8, pp. 1321-1331
Open Access | Times Cited: 8
Considerations in the assessment of machine learning algorithm performance for medical imaging
Alexej Gossmann, Berkman Sahiner, Ravi K. Samala, et al.
Elsevier eBooks (2024), pp. 473-507
Closed Access | Times Cited: 2
A Comparison Between Single- and Multi-Scale Approaches for Classification of Histopathology Images
Marina D’Amato, Przemysław Szostak, Benjamin Torben-Nielsen
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 10
Reproducibility of deep learning in digital pathology whole slide image analysis
Christina Fell, Mahnaz Mohammadi, David Morrison, et al.
PLOS Digital Health (2022) Vol. 1, Iss. 12, pp. e0000145-e0000145
Open Access | Times Cited: 8
Generating and evaluating synthetic data in digital pathology through diffusion models
M. Pozzi, Shahryar Noei, Erich Robbi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Quantification of the Immune Content in Neuroblastoma: Deep Learning and Topological Data Analysis in Digital Pathology
Nicole Bussola, Bruno Papa, Ombretta Melaiu, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 16, pp. 8804-8804
Open Access | Times Cited: 8
Cell Maps Representation for Lung Adenocarcinoma Growth Patterns Classification in Whole Slide Images
Arwa Al-Rubaian, Gozde N. Gunesli, Wajd A. Althakfi, et al.
(2024), pp. 1-5
Open Access
Extracting interpretable signatures of whole-brain dynamics through systematic comparison
Annie G. Bryant, Kevin Aquino, Linden Parkes, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 12, pp. e1012692-e1012692
Open Access
How You Split Matters: Data Leakage and Subject Characteristics Studies in Longitudinal Brain MRI Analysis
Dewinda Julianensi Rumala
Lecture notes in computer science (2023), pp. 235-245
Closed Access | Times Cited: 1
Synergies and Challenges in the Preclinical and Clinical Implementation of Pathology Artificial Intelligence Applications
Hammad Qureshi, Runjan Chetty, Jogile Kuklyte, et al.
Mayo Clinic Proceedings Digital Health (2023) Vol. 1, Iss. 4, pp. 601-613
Open Access | Times Cited: 1
Generating synthetic data in digital pathology through diffusion models: a multifaceted approach to evaluation
M. Pozzi, Shahryar Noei, Erich Robbi, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Deep learning in computed tomography pulmonary angiography imaging: a dual-pronged approach for pulmonary embolism detection
Fabiha Bushra, Muhammad E. H. Chowdhury, Rusab Sarmun, et al.
arXiv (Cornell University) (2023)
Open Access
Endoscopy-based IBD identification by a quantized deep learning pipeline
Massimiliano Datres, Elisa Paolazzi, Marco Chierici, et al.
BioData Mining (2023) Vol. 16, Iss. 1
Open Access
Histolab: A Python Library for Reproducible Digital Pathology Preprocessing with Automated Testing
Alessia Marcolini, Nicole Bussola, Ernesto Arbitrio, et al.
SSRN Electronic Journal (2022)
Closed Access
Methodologies for Monitoring Mental Health on Twitter: Systematic Review (Preprint)
Nina H. Di Cara, Valerio Maggio, Oliver S. P. Davis, et al.
(2022)
Open Access
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