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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.

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Showing 1-25 of 39 citing articles:

Appositeness of Automated Machine Learning Libraries on Prediction of Energy Consumption for Electric Two-wheelers Based on Micro-Trip Approach
Azhaganathan Gurusamy, Akshat Bokdia, Kumar Harsh, et al.
Energy (2025), pp. 135199-135199
Closed Access | Times Cited: 1
Machine Learning, Deep Learning and Data Preprocessing Techniques for Detection, Prediction, and Monitoring of Stress and Stress-related Mental Disorders: A Scoping Review (Preprint)
Moein Razavi, Samira Ziyadidegan, Ahmadreza Mahmoudzadeh, et al.
JMIR Mental Health (2024) Vol. 11, pp. e53714-e53714
Open Access | Times Cited: 6
Using Machine Learning to Predict Cognitive Impairment Among Middle-Aged and Older Chinese: A Longitudinal Study
Haihong Liu, Xiaolei Zhang, Haining Liu, et al.
International Journal of Public Health (2023) Vol. 68
Open Access | Times Cited: 16
Prediction of biological nutrients removal in full-scale wastewater treatment plants using H2O automated machine learning and back propagation artificial neural network model: Optimization and comparison
Jingyang Luo, Yuting Luo, Xiaoshi Cheng, et al.
Bioresource Technology (2023) Vol. 390, pp. 129842-129842
Closed Access | Times Cited: 12
From data to diagnosis: evaluation of machine learning models in predicting kidney stones
Orlando Iparraguirre-Villanueva, George Paucar-Palomino, Cleoge Paulino-Moreno
Neural Computing and Applications (2025)
Closed Access
The capacity of skin potential in generalized anxiety disorder discrimination using weighted feature fusion
Jing Sun, Mingtao Chen, Jingxuan Sun, et al.
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107749-107749
Open Access
Machine Learning in E-health: A Comprehensive Survey of Anxiety
Bibi Nushrina Teelhawod, Faijan Akhtar, Md Belal Bin Heyat, et al.
2021 International Conference on Data Analytics for Business and Industry (ICDABI) (2021), pp. 167-172
Closed Access | Times Cited: 23
EngineFaultDB: A Novel Dataset for Automotive Engine Fault Classification and Baseline Results
Mary Vergara, Leo Ramos, Néstor Diego Rivera Campoverde, et al.
IEEE Access (2023) Vol. 11, pp. 126155-126171
Open Access | Times Cited: 9
Predicting future depressive episodes from resting-state fMRI with generative embedding
Herman Galioulline, Stefan Frässle, Samuel J. Harrison, et al.
NeuroImage (2023) Vol. 273, pp. 119986-119986
Open Access | Times Cited: 7
Common and specific determinants of 9-year depression and anxiety course-trajectories: A machine-learning investigation in the Netherlands Study of Depression and Anxiety (NESDA).
Klaas J. Wardenaar, Harriëtte Riese, Erik J. Giltay, et al.
Journal of Affective Disorders (2021) Vol. 293, pp. 295-304
Open Access | Times Cited: 16
A practical evaluation of AutoML tools for binary, multiclass, and multilabel classification
Marcelo V C Aragão, Augusto Guimarães Afonso, Rafaela Cristina Ferraz, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
Development and validation of a machine learning predictive model for perioperative myocardial injury in cardiac surgery with cardiopulmonary bypass
Qian Li, Hong Lv, Yuye Chen, et al.
Journal of Cardiothoracic Surgery (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 2
Real-time anomaly detection system within the scope of smart factories
Cihan Bayraktar, Ziya Karakaya, Hadı Gökċen
The Journal of Supercomputing (2023) Vol. 79, Iss. 13, pp. 14707-14742
Closed Access | Times Cited: 4
The Capacity of Skin Potential in Generalized Anxiety Disorder Discrimination Using Weighted Feature Fusion
Jing Sun, Mingtao Chen, Jingxuan Sun, et al.
(2024)
Closed Access | Times Cited: 1
A novel approach to anxiety level prediction using small sets of judgment and survey variables
Sumra Bari, Byoung-Woo Kim, Nicole L. Vike, et al.
npj Mental Health Research (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 1
Bayesian Analysis Used to Identify Clinical and Laboratory Variables Capable of Predicting Progression to Severe Dengue among Infected Pediatric Patients
Josselin Corzo-Gómez, Susana Guadalupe Guzmán-Aquino, Cruz Vargas‐De‐León, et al.
Children (2023) Vol. 10, Iss. 9, pp. 1508-1508
Open Access | Times Cited: 3
Machine learning prediction models for diabetic kidney disease: systematic review and meta-analysis
Lianqin Chen, Xian Shao, Pei Yu
Endocrine (2023) Vol. 84, Iss. 3, pp. 890-902
Closed Access | Times Cited: 3
Review on Psychology Research Based on Artificial Intelligence Methodologies
Rushit Dave, Kyle Sargeant, Monika Vanamala, et al.
Journal of Computer and Communications (2022) Vol. 10, Iss. 05, pp. 113-130
Open Access | Times Cited: 5
Supervised Learning from Data Mining on Process Data Loggers on Micro-Controllers
Adi Dwifana Saputra, Djarot Hindarto, Haryono Haryono
SinkrOn (2023) Vol. 8, Iss. 1, pp. 157-165
Open Access | Times Cited: 2
Machine Learning Techniques for Anxiety Disorder
Elif ALTINTAŞ, Zeyneb UYLAŞ AKSU, Zeynep Demir
European Journal of Science and Technology (2021)
Open Access | Times Cited: 4
Fine tuning attribute weighted naïve Bayes model for detecting anxiety disorder levels of online gamers
Anastasya Latubessy, Retantyo Wardoyo, Aina Musdholifah, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 3, pp. 3277-3277
Open Access
[A research on depression recognition based on voice pre-training model].
Xiangsheng Huang, Yilong Liao, Wenjing Zhang, et al.
PubMed (2024) Vol. 41, Iss. 1, pp. 9-16
Closed Access
Hybrid feature selection in a machine learning predictive model for perioperative myocardial injury in noncoronary cardiac surgery with cardiopulmonary bypass
Qian Li, Hong Lv, Yuye Chen, et al.
Perfusion (2024)
Closed Access
Analysis of Mental Health Disorders from Survey Reports using Time Series based Linear Regression
Anurag Mishra, Ankit Singh, Anupam Singh, et al.
(2024), pp. 1-6
Closed Access
Human resource optimization using linear regression machine learning model: case study SUNAT
Salazar Marín Gloria, Condori Obregon Patricia, Palomino Vidal Carlos
Indonesian Journal of Electrical Engineering and Computer Science (2023) Vol. 31, Iss. 1, pp. 386-386
Open Access | Times Cited: 1
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