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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:

The need to separate the wheat from the chaff in medical informatics
Federico Cabitza, Andrea Campagner
International Journal of Medical Informatics (2021) Vol. 153, pp. 104510-104510
Open Access | Times Cited: 199

Showing 1-25 of 199 citing articles:

The importance of being external. methodological insights for the external validation of machine learning models in medicine
Federico Cabitza, Andrea Campagner, Felipe Soares, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 208, pp. 106288-106288
Open Access | Times Cited: 151
Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review
Haomin Chen, Catalina Gómez, Chien‐Ming Huang, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 120
Evaluation framework to guide implementation of AI systems into healthcare settings
Sandeep Reddy, Wendy Rogers, Ville‐Petteri Mäkinen, et al.
BMJ Health & Care Informatics (2021) Vol. 28, Iss. 1, pp. e100444-e100444
Open Access | Times Cited: 101
Guidelines for Artificial Intelligence in Medicine: Literature Review and Content Analysis of Frameworks
Norah L. Crossnohere, Mohamed I. Elsaid, Jonathan Paskett, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 8, pp. e36823-e36823
Open Access | Times Cited: 77
Methods for Clinical Evaluation of Artificial Intelligence Algorithms for Medical Diagnosis
Seong Ho Park, Kyunghwa Han, Hye Young Jang, et al.
Radiology (2022) Vol. 306, Iss. 1, pp. 20-31
Closed Access | Times Cited: 70
Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review
Gideon Vos, Kelly Trinh, Zoltán Sarnyai, et al.
International Journal of Medical Informatics (2023) Vol. 173, pp. 105026-105026
Open Access | Times Cited: 60
Eight quick tips for biologically and medically informed machine learning
Luca Oneto, Davide Chicco
PLoS Computational Biology (2025) Vol. 21, Iss. 1, pp. e1012711-e1012711
Open Access | Times Cited: 1
Machine learning predictive models for acute pancreatitis: A systematic review
You Zhou, Yutong Ge, Xiaolei Shi, et al.
International Journal of Medical Informatics (2021) Vol. 157, pp. 104641-104641
Open Access | Times Cited: 55
Machine learning predicts cancer-associated deep vein thrombosis using clinically available variables
Shuai Jin, Dan Qin, Baosheng Liang, et al.
International Journal of Medical Informatics (2022) Vol. 161, pp. 104733-104733
Closed Access | Times Cited: 51
Predictive models for clinical decision making: Deep dives in practical machine learning
Sandra Eloranta, Magnus Boman
Journal of Internal Medicine (2022) Vol. 292, Iss. 2, pp. 278-295
Open Access | Times Cited: 44
Machine learning algorithms for early sepsis detection in the emergency department: A retrospective study
Norawit Kijpaisalratana, Daecha Sanglertsinlapachai, Siwapol Techaratsami, et al.
International Journal of Medical Informatics (2022) Vol. 160, pp. 104689-104689
Closed Access | Times Cited: 42
Nine quick tips for pathway enrichment analysis
Davide Chicco, Giuseppe Agapito
PLoS Computational Biology (2022) Vol. 18, Iss. 8, pp. e1010348-e1010348
Open Access | Times Cited: 40
Application of machine learning techniques for predicting survival in ovarian cancer
Amir Sorayaie Azar, Samin Babaei Rikan, Amin Naemi, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 38
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing
Federico Cabitza, Andrea Campagner, Valerio Basile
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 6, pp. 6860-6868
Open Access | Times Cited: 32
Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Modeling Studies: Development and Validation
William Klement, Khaled El Emam
Journal of Medical Internet Research (2023) Vol. 25, pp. e48763-e48763
Open Access | Times Cited: 27
Deep Learning Methodologies Applied to Digital Pathology in Prostate Cancer: A Systematic Review
Noémie Rabilloud, Pierre Allaume, Oscar Acosta, et al.
Diagnostics (2023) Vol. 13, Iss. 16, pp. 2676-2676
Open Access | Times Cited: 24
Self-reported checklists and quality scoring tools in radiomics: a meta-research
Burak Koçak, Tugba Akinci D’Antonoli, Ece Ateş, et al.
European Radiology (2024) Vol. 34, Iss. 8, pp. 5028-5040
Closed Access | Times Cited: 13
Development and validation of a multimodal model in predicting severe acute pancreatitis based on radiomics and deep learning
Minyue Yin, Jiaxi Lin, Yu Wang, et al.
International Journal of Medical Informatics (2024) Vol. 184, pp. 105341-105341
Open Access | Times Cited: 7
Machine learning based texture analysis of patella from X-rays for detecting patellofemoral osteoarthritis
Neslihan Bayramog̃lu, Miika T. Nieminen, Simo Saarakkala
International Journal of Medical Informatics (2021) Vol. 157, pp. 104627-104627
Open Access | Times Cited: 40
Short-term atrial fibrillation detection using electrocardiograms: A comparison of machine learning approaches
Masud Shah Jahan, Marjan Mansourvar, Sadasivan Puthusserypady, et al.
International Journal of Medical Informatics (2022) Vol. 163, pp. 104790-104790
Open Access | Times Cited: 29
A Systematic Review of Artificial Intelligence and Machine Learning Applications to Inflammatory Bowel Disease, with Practical Guidelines for Interpretation
Imogen S Stafford, Mark Gosink, Enrico Mossotto, et al.
Inflammatory Bowel Diseases (2022) Vol. 28, Iss. 10, pp. 1573-1583
Open Access | Times Cited: 28
Artificial intelligence in emergency medicine. A systematic literature review
Konstantin Piliuk, Sven Tomforde
International Journal of Medical Informatics (2023) Vol. 180, pp. 105274-105274
Open Access | Times Cited: 19
Data-centric artificial intelligence in oncology: a systematic review assessing data quality in machine learning models for head and neck cancer
John Adeoye, Liuling Hui, Yu‐Xiong Su
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 17
Reliable prediction of difficult airway for tracheal intubation from patient preoperative photographs by machine learning methods
Fernando García-García, Dae‐Jin Lee, Francisco J. Mendoza-Garcés, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 248, pp. 108118-108118
Open Access | Times Cited: 6
Prediction of emergency department revisits among child and youth mental health outpatients using deep learning techniques
Simran Saggu, Hirad Daneshvar, Reza Samavi, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 5
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