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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:

Machine Learning Methods with Noisy, Incomplete or Small Datasets
César F. Caiafa, Zhe Sun, Toshihisa Tanaka, et al.
Applied Sciences (2021) Vol. 11, Iss. 9, pp. 4132-4132
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Machine Learning: A New Prospect in Multi-Omics Data Analysis of Cancer
Babak Arjmand, Shayesteh Kokabi Hamidpour, Akram Tayanloo-Beik, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 77
Robot-Enabled Construction Assembly with Automated Sequence Planning Based on ChatGPT: RoboGPT
Hengxu You, Yang Ye, Tianyu Zhou, et al.
Buildings (2023) Vol. 13, Iss. 7, pp. 1772-1772
Open Access | Times Cited: 40
Machine learning for the advancement of membrane science and technology: A critical review
Gergő Ignácz, Lana Bader, Aron K. Beke, et al.
Journal of Membrane Science (2024) Vol. 713, pp. 123256-123256
Open Access | Times Cited: 11
An Ensemble Learning Based Classification Approach for the Prediction of Household Solid Waste Generation
Abdallah Namoun, Burhan Rashid Hussein, Ali Tufail, et al.
Sensors (2022) Vol. 22, Iss. 9, pp. 3506-3506
Open Access | Times Cited: 36
Deep Learning-Enhanced Diagnosis of Sow Pregnancy Through Low-Frequency Ultrasound Imaging
Tae-kyeong Kim, Yo Han Choi, Jun Seon Hong, et al.
Animals (2025) Vol. 15, Iss. 3, pp. 318-318
Open Access
Predicting the firefighting efficacy of surfactants prior to synthesis via ensemble artificial neural network modeling of a foam performance database
Jeffrey A. Cramer, Caleb M. Bunton, Matthew C. Davis, et al.
Journal of Surfactants and Detergents (2025)
Closed Access
Development of a Generalizable Gradient Boosting Regression-Based Framework for Predicting the Properties of Single and Binary IL Systems
Kimia Fereydoon, Oscar Nordness
ACS Applied Engineering Materials (2025)
Closed Access
Neuromorphic algorithms for brain implants: a review
Wiktoria Agata Pawlak, Newton Howard
Frontiers in Neuroscience (2025) Vol. 19
Open Access
Rigorous validation of machine learning in laboratory medicine: guidance toward quality improvement
Hunter A. Miller, R Valdes
Critical Reviews in Clinical Laboratory Sciences (2025), pp. 1-20
Closed Access
Exploring synergies between plant metabolic modelling and machine learning
Marta Sampaio, Miguel Rocha, Óscar Dias
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 1885-1900
Open Access | Times Cited: 16
Prognosis of COVID‐19 patients using lab tests: A data mining approach
Fariba Khounraz, Mahmood Khodadoost, Saeid Gholamzadeh, et al.
Health Science Reports (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 9
Application of Neural Network Models with Ultra-Small Samples to Optimize the Ultrasonic Consolidation Parameters for ‘PEI Adherend/Prepreg (CF-PEI Fabric)/PEI Adherend’ Lap Joints
D.Yu. Stepanov, Defang Tian, V. O. Alexenko, et al.
Polymers (2024) Vol. 16, Iss. 4, pp. 451-451
Open Access | Times Cited: 2
Deep Representation Learning: Fundamentals, Technologies, Applications, and Open Challenges
Amirreza Payandeh, Kourosh T. Baghaei, Pooya Fayyazsanavi, et al.
IEEE Access (2023) Vol. 11, pp. 137621-137659
Open Access | Times Cited: 5
Collaborative Filtering for the Imputation of Patient Reported Outcomes
Eric Ababio Anyimadu, Clifton D. Fuller, Xinhua Zhang, et al.
Lecture notes in computer science (2024), pp. 231-248
Closed Access | Times Cited: 1
Dataset Quality Assessment in Autonomous Networks with Permutation Testing
José Camacho, Katarzyna Wasielewska
NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium (2022) Vol. 11, pp. 1-4
Open Access | Times Cited: 6
VLC Indoor Positioning Using RFR and SVM Reduced Features Machine Learning Techniques
Affan Affan, Hafiz M. Asif, Naser Tarhuni
(2023)
Closed Access | Times Cited: 3
Physical performance in daily life and sports: bridging the data analytics gap
Talko Dijkhuis
(2024)
Open Access
Preface

Elsevier eBooks (2024), pp. xiii-xv
Closed Access
Bibliography

Elsevier eBooks (2024), pp. 257-280
Closed Access
Active learning concept for materials process optimization of non-fullerene organic photovoltaic using small datasets
Majed Almalki, Yves André Chapuis, Nicolas Lachiche
(2024), pp. 9-9
Closed Access
Back to Normal? Harnessing Long Short-term Memory Network to Examine the Associations Between Adolescent Social Interactions and Depressive Symptoms During Different Stages of COVID-19
Reuma Gadassi Polack, Adam Zhang, Hedy Kober, et al.
Research on Child and Adolescent Psychopathology (2024) Vol. 52, Iss. 10, pp. 1621-1633
Closed Access
Exploring Pattern of Relapse in Pediatric Patients with Acute Lymphocytic Leukemia and Acute Myeloid Leukemia Undergoing Stem Cell Transplant Using Machine Learning Methods
David C. Shyr, Bing Zhang, Gopin Saini, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 14, pp. 4021-4021
Open Access
Exploring the Potential of Neural Networks to Predict Statistics of Solar Wind Turbulence
Daniel Wrench, T. N. Parashar, Ritesh K. Singh, et al.
Space Weather (2022) Vol. 20, Iss. 9
Open Access | Times Cited: 1
Evaluation of the Limit of Detection in Network Dataset Quality Assessment with PerQoDA
Katarzyna Wasielewska, Dominik Soukup, Tomáš Čejka, et al.
Communications in computer and information science (2023), pp. 170-185
Closed Access
A methodology for the automation of building intelligent process control systems
Josep Pascual Pañach
(2023)
Open Access
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