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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:

A step-by-step tutorial on how to build a machine learning model
Sandra Vieira, Rafael Garcia‐Dias, Walter Hugo Lopez Pinaya
Machine learning (2019), pp. 343-370
Closed Access | Times Cited: 13

Showing 13 citing articles:

Comprehensive analysis of supervised algorithms for coronary artery heart disease detection
Sanjay Dhanka, Vibhor Kumar Bhardwaj, Surita Maini
Expert Systems (2023) Vol. 40, Iss. 7
Closed Access | Times Cited: 18
Temporal variability of regional intrinsic neural activity in drug‐naïve patients with obsessive–compulsive disorder
Jing Liu, Xuan Bu, Xinyu Hu, et al.
Human Brain Mapping (2021) Vol. 42, Iss. 12, pp. 3792-3803
Open Access | Times Cited: 35
STREAMLINE: A Simple, Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm Comparison
Ryan J. Urbanowicz, Robert Zhang, Yuhan Cui, et al.
Genetic and evolutionary computation (2023), pp. 201-231
Open Access | Times Cited: 13
Neurophysiological biomarkers for depression classification: Utilizing microstate k-mers and a bag-of-words model
Dongdong Zhou, Xinyu Peng, Lin Zhao, et al.
Journal of Psychiatric Research (2023) Vol. 165, pp. 197-204
Closed Access | Times Cited: 5
A novel predictive analysis approach for forecasting and classifying surface water data using AWQI standards and machine learning-based rule induction
Kaleeswari Chinnakkaruppan, Kuppusamy Krishnamoorthy, Senthilrajan Agniraj
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
Automated machine learning: the new data science challenge
Ilham Slimani, Nadia Slimani, Saïd Achchab, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2022) Vol. 12, Iss. 4, pp. 4243-4243
Open Access | Times Cited: 6
Automated machine learning pipeline for geochemical analysis
Germán H. Alférez, Oscar Estéban, B. L. Clausen, et al.
Earth Science Informatics (2022) Vol. 15, Iss. 3, pp. 1683-1698
Open Access | Times Cited: 6
Efficiency Enhancement of Machine Learning Approaches through the Impact of Preprocessing Techniques
Vineeta Gulati, Neeraj Raheja
(2021), pp. 191-196
Closed Access | Times Cited: 7
Pica-A Hybrid Feature Extraction Technique Based on Principal Component Analysis and Independent Component Analysis
Vineeta Gulati, Neeraj Raheja, Rajneesh Kumar
2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT) (2022), pp. 1-6
Closed Access | Times Cited: 4
Tracking Vigilance Fluctuations in Real-Time: A Sliding-Window HRV-based Machine-Learning Approach
Tian Xie, Ning Ma
SLEEP (2024)
Closed Access
SVPC-LDA: A Hybridised Feature Extraction Approach for Chronic Kidney Disease Dataset
Vineeta Gulati, Neeraj Raheja, Arun Kumar Rana, et al.
Research Square (Research Square) (2023)
Open Access
A Rigorous Machine Learning Analysis Pipeline for Biomedical Binary Classification: Application in Pancreatic Cancer Nested Case-control Studies with Implications for Bias Assessments
Ryan J. Urbanowicz, Pranshu Suri, Yuhan Cui, et al.
(2020)
Closed Access
Quantifying Optimization Bias in Model Evaluation when using Cross-Validation in Psychological Science: A Monte Carlo Simulation Study
Hannah Moshontz, Gaylen Fronk, Sarah June Kittleson Sant'Ana, et al.
(2020)
Closed Access
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