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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:

On the appropriateness of Platt scaling in classifier calibration
Björn Böken
Information Systems (2020) Vol. 95, pp. 101641-101641
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

The Harms of Class Imbalance Corrections for Machine Learning Based Prediction Models: A Simulation Study
Alex Carriero, Kim Luijken, Anne de Hond, et al.
Statistics in Medicine (2025) Vol. 44, Iss. 3-4
Open Access | Times Cited: 2
Confidence-Aware Ship Classification Using Contour Features in SAR Images
Al Adil Al Hinai, Raffaella Guida
Remote Sensing (2025) Vol. 17, Iss. 1, pp. 127-127
Open Access | Times Cited: 1
A continuous approach to explain insomnia and subjective-objective sleep discrepancy
Rubén Herzog, Flynn Crosbie, Anis Aloulou, et al.
Communications Biology (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 1
An artificial intelligence-based decision support system for early diagnosis of polycystic ovaries syndrome
Ejay Nsugbe
Healthcare Analytics (2023) Vol. 3, pp. 100164-100164
Open Access | Times Cited: 17
Global Spatial Suitability Mapping of Wind and Solar Systems Using an Explainable AI-Based Approach
Mourtadha Sarhan Sachit, Helmi Zulhaidi Mohd Shafri, Ahmad Fikri Abdullah, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 8, pp. 422-422
Open Access | Times Cited: 25
Calculation of exact Shapley values for explaining support vector machine models using the radial basis function kernel
Andrea Mastropietro, Christian Feldmann, Jürgen Bajorath
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 15
Calibrating machine learning approaches for probability estimation: A comprehensive comparison
Francisco Ojeda, Max L. Jansen, Alexandre Thiéry, et al.
Statistics in Medicine (2023) Vol. 42, Iss. 29, pp. 5451-5478
Open Access | Times Cited: 13
An Explainable Machine Learning Model for Material Backorder Prediction in Inventory Management
Charis Ntakolia, Christos Kokkotis, Patrik Karlsson, et al.
Sensors (2021) Vol. 21, Iss. 23, pp. 7926-7926
Open Access | Times Cited: 28
Predicting suicide attempts among U.S. Army soldiers after leaving active duty using information available before leaving active duty: results from the Study to Assess Risk and Resilience in Servicemembers-Longitudinal Study (STARRS-LS)
Ian H. Stanley, Carol Chu, Sarah M. Gildea, et al.
Molecular Psychiatry (2022) Vol. 27, Iss. 3, pp. 1631-1639
Open Access | Times Cited: 22
Relating instance hardness to classification performance in a dataset: a visual approach
Pedro Yuri Arbs Paiva, Camila Castro Moreno, Kate Smith‐Miles, et al.
Machine Learning (2022) Vol. 111, Iss. 8, pp. 3085-3123
Open Access | Times Cited: 19
StrokeClassifier: ischemic stroke etiology classification by ensemble consensus modeling using electronic health records
Ho‐Joon Lee, Lee H. Schwamm, Lauren Sansing, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 4
Machine learning models with distinct Shapley value explanations decouple feature attribution and interpretation for chemical compound predictions
Jannik P. Roth, Jürgen Bajorath
Cell Reports Physical Science (2024) Vol. 5, Iss. 8, pp. 102110-102110
Open Access | Times Cited: 4
Intelligent Human-computer Interactive Training Assistant System for Rail Systems
Y. Z. Li, Junhua Chen, Xiangyong Luo, et al.
High-speed Railway (2025)
Open Access
Ensemble machine learning and tree-structured Parzen estimator to predict early-stage pancreatic cancer
Kah Keng Wong
Biomedical Signal Processing and Control (2025) Vol. 108, pp. 107867-107867
Closed Access
Calibration of ECG-Based Deep-Learning Algorithm Scores for Patients Flagged as High Risk for Hypertrophic Cardiomyopathy
Joshua Lampert, Deepak L. Bhatt, Akhil Vaid, et al.
NEJM AI (2025) Vol. 2, Iss. 5
Closed Access
MS-ACGAN: A modified auxiliary classifier generative adversarial network for schizophrenia's samples augmentation based on microarray gene expression data
Bahareh Jahanyar, Hamid Tabatabaee, Alireza Rowhanimanesh
Computers in Biology and Medicine (2023) Vol. 162, pp. 107024-107024
Closed Access | Times Cited: 10
Enhancing corporate bankruptcy prediction via a hybrid genetic algorithm and domain adaptation learning architecture
Theophilus Ansah-Narh, Ezekiel N. N. Nortey, E. Proven-Adzri, et al.
Expert Systems with Applications (2024) Vol. 258, pp. 125133-125133
Closed Access | Times Cited: 3
Trusting My Predictions: On the Value of Instance-Level Analysis
Ana Carolina Lorena, Pedro Yuri Arbs Paiva, Ricardo B. C. Prudêncio
ACM Computing Surveys (2023) Vol. 56, Iss. 7, pp. 1-28
Closed Access | Times Cited: 9
Classification pattern of lacustrine carbonate diagenetic facies and logging-based data-driven prediction via a generalized and robust ensemble learning: A demonstration of pre-salt profile, santos basin
Yufeng Gu, Yan Li, Yashao Yang, et al.
Geoenergy Science and Engineering (2023) Vol. 223, pp. 211543-211543
Closed Access | Times Cited: 7
A customised down-sampling machine learning approach for sepsis prediction
Qinhao Wu, Fei Ye, Qianqian Gu, et al.
International Journal of Medical Informatics (2024) Vol. 184, pp. 105365-105365
Open Access | Times Cited: 1
The development of fragility curves using calibrated probabilistic classifiers
Eman Saleh
Structures (2024) Vol. 64, pp. 106618-106618
Closed Access | Times Cited: 1
Machine Learning Approaches for Phase Identification Using Process Variables in Batch Processes
Marco Gärtler, Martin Hollender, Benjamin Klöpper, et al.
Chemie Ingenieur Technik (2023) Vol. 95, Iss. 7, pp. 989-1002
Open Access | Times Cited: 3
Ensuring fair, safe, and interpretable artificial intelligence-based prediction tools in a real-world oncological setting
Renee D. George, Benjamin H. Ellis, Andrew West, et al.
Communications Medicine (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 3
CALIMERA: A new early time series classification method
Jakub Michał Bilski, Agnieszka Jastrzębska
Information Processing & Management (2023) Vol. 60, Iss. 5, pp. 103465-103465
Open Access | Times Cited: 3
Detecting and ranking pornographic content in videos
Mark G. Borg, André Tabone, Alexandra Bonnici, et al.
Forensic Science International Digital Investigation (2022) Vol. 42-43, pp. 301436-301436
Closed Access | Times Cited: 5
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