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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 Random Forest Model Has the Best Accuracy Among the Four Pressure Ulcer Prediction Models Using Machine Learning Algorithms
Jie Song, Gao Yuan, Pengbin Yin, et al.
Risk Management and Healthcare Policy (2021) Vol. Volume 14, pp. 1175-1187
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Machine Learning Techniques, Applications, and Potential Future Opportunities in Pressure Injuries (Bedsores) Management: A Systematic Review
Odai Y. Dweekat, Sarah S. Lam, Lindsay McGrath
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 1, pp. 796-796
Open Access | Times Cited: 31
Stacked hybridization to enhance the performance of artificial neural networks (ANN) for prediction of water quality index in the Bagh river basin, India
Nand Lal Kushwaha, Nanabhau S. Kudnar, Dinesh Kumar Vishwakarma, et al.
Heliyon (2024) Vol. 10, Iss. 10, pp. e31085-e31085
Open Access | Times Cited: 9
Machine learning algorithms for predictive modeling of dyslipidemia-associated cardiovascular disease risk in pregnancy: a comparison of boosting, random forest, and decision tree regression
Idris Zubairu Sadiq, Fatima Sadiq Abubakar, Muhammad Auwal Saliu, et al.
Bulletin of the National Research Centre/Bulletin of the National Research Center (2025) Vol. 49, Iss. 1
Open Access | Times Cited: 1
Leveraging artificial intelligence and decision support systems in hospital-acquired pressure injuries prediction: A comprehensive review
Khaled M. Toffaha, Mecit Can Emre Simsekler, Mohammed Omar
Artificial Intelligence in Medicine (2023) Vol. 141, pp. 102560-102560
Closed Access | Times Cited: 22
Artificial intelligence in wound care: diagnosis, assessment and treatment of hard-to-heal wounds: a narrative review
Mark G Rippon, Leigh Fleming, Tianhua Chen, et al.
Journal of Wound Care (2024) Vol. 33, Iss. 4, pp. 229-242
Closed Access | Times Cited: 7
Machine Learning-Based Pressure Ulcer Prediction in Modular Critical Care Data
Petr Šín, Alica Hokynková, Marie Nováková, et al.
Diagnostics (2022) Vol. 12, Iss. 4, pp. 850-850
Open Access | Times Cited: 27
Machine learning‐based prediction models for pressure injury: A systematic review and meta‐analysis
Juhong Pei, Xiaojing Guo, Hongxia Tao, et al.
International Wound Journal (2023) Vol. 20, Iss. 10, pp. 4328-4339
Open Access | Times Cited: 13
An Integrated System of Multifaceted Machine Learning Models to Predict If and When Hospital-Acquired Pressure Injuries (Bedsores) Occur
Odai Y. Dweekat, Sarah S. Lam, Lindsay McGrath
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 1, pp. 828-828
Open Access | Times Cited: 11
Imbalanced class distribution and performance evaluation metrics: A systematic review of prediction accuracy for determining model performance in healthcare systems
Michael Owusu-Adjei, James Ben Hayfron-Acquah, Frimpong Twum, et al.
PLOS Digital Health (2023) Vol. 2, Iss. 11, pp. e0000290-e0000290
Open Access | Times Cited: 11
eXplainable Artificial Intelligence (XAI) for improving organisational regility
Niusha Shafiabady, Nick Hadjinicolaou, Nadeesha D. Hettikankanamage, et al.
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0301429-e0301429
Open Access | Times Cited: 4
Electronic-Medical-Record-Driven Machine Learning Predictive Model for Hospital-Acquired Pressure Injuries: Development and External Validation
Kim-Anh-Nhi Nguyen, Dhavalkumar D. Patel, Masoud Edalati, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 4, pp. 1175-1175
Open Access
Artificial Intelligence Methods for Diagnostic and Decision-Making Assistance in Chronic Wounds: A Systematic Review
David Jiménez, Lorena Casanova-Lozano, Sergi Grau, et al.
Journal of Medical Systems (2025) Vol. 49, Iss. 1
Open Access
Developmental validation of an mRNA-cSNP profiling panel for body fluids identification and individualization
Zhiyong Liu, Ning Wang, Qingxia Zhang, et al.
International Journal of Legal Medicine (2025)
Closed Access
A forecasting model for desert locust presence during recession period, using real-time satellite imagery
Lucile Marescot, Elodie Fernandez, Hichem Dridi, et al.
Remote Sensing Applications Society and Environment (2025), pp. 101497-101497
Open Access
Machine Learning-Guided Screening and Molecular Docking for Proposing Naturally Derived Drug Candidates Against MERS-CoV 3CL Protease
Mebarka Ouassaf, Radhia Mazri, Shafi Ullah Khan, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 7, pp. 3047-3047
Open Access
Development and validation of a decision tree model for prediction of insomnia risk among ischemic stroke convalescence patients
Xuefeng Sun, Zilin Wang, Yuqing Song, et al.
Research Square (Research Square) (2025)
Closed Access
Integrating the salivary microbiome in the forensic toolkit by 16S rRNA gene: potential application in body fluid identification and biogeographic inference
Xiaomin Liang, Xiaolong Han, Changhui Liu, et al.
International Journal of Legal Medicine (2022) Vol. 136, Iss. 4, pp. 975-985
Closed Access | Times Cited: 18
A systematic review of predictive models for hospital‐acquired pressure injury using machine learning
You Zhou, Xiaoxi Yang, Shuli Ma, et al.
Nursing Open (2022) Vol. 10, Iss. 3, pp. 1234-1246
Open Access | Times Cited: 17
Machine learning identifies the risk of complications after laparoscopic radical gastrectomy for gastric cancer
Qingqi Hong, Su Yan, Yongliang Zhao, et al.
World Journal of Gastroenterology (2024) Vol. 30, Iss. 1, pp. 79-90
Open Access | Times Cited: 3
Machine learning models for predicting unscheduled return visits to an emergency department: a scoping review
Yi-Chih Lee, Chip‐Jin Ng, Chun‐Chuan Hsu, et al.
BMC Emergency Medicine (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Machine learning prediction of mental health strategy selection in school aged children using neurocognitive data
Richard Lamb, Jonah B. Firestone, Amanda Kavner, et al.
Computers in Human Behavior (2024) Vol. 156, pp. 108197-108197
Closed Access | Times Cited: 3
Machine Learning for Urban Land Use/ Cover Mapping: Comparison of Artificial Neural Network, Random Forest and Support Vector Machine, A Case Study of Dilla Town
Melion Kasahun, Abiyot Legesse
Heliyon (2024) Vol. 10, Iss. 20, pp. e39146-e39146
Closed Access | Times Cited: 3
A Machine Learning Model for Predicting Unscheduled 72 h Return Visits to the Emergency Department by Patients with Abdominal Pain
Chun‐Chuan Hsu, Cheng-C.J. Chu, Ching-Heng Lin, et al.
Diagnostics (2021) Vol. 12, Iss. 1, pp. 82-82
Open Access | Times Cited: 16
Exploring the predictive capability of machine learning models in identifying foot and mouth disease outbreak occurrences in cattle farms in an endemic setting of Thailand
Veerasak Punyapornwithaya, Kunnanut Klaharn, Orapun Arjkumpa, et al.
Preventive Veterinary Medicine (2022) Vol. 207, pp. 105706-105706
Closed Access | Times Cited: 12
The predictive effect of different machine learning algorithms for pressure injuries in hospitalized patients: A network meta-analyses
Chaoran Qu, Weixiang Luo, Zhixiong Zeng, et al.
Heliyon (2022) Vol. 8, Iss. 11, pp. e11361-e11361
Open Access | Times Cited: 11
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