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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:

Big-Data Analysis, Cluster Analysis, and Machine-Learning Approaches
Amparo Alonso‐Betanzos, Verónica Bolón‐Canedo
Advances in experimental medicine and biology (2018), pp. 607-626
Closed Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

Artificial intelligence supported patient self-care in chronic heart failure: a paradigm shift from reactive to predictive, preventive and personalised care
Matthew Barrett, Josiane Boyne, Julia Brandts, et al.
The EPMA Journal (2019) Vol. 10, Iss. 4, pp. 445-464
Open Access | Times Cited: 143
A Comprehensive Analysis of Healthcare Big Data Management, Analytics and Scientific Programming
Shah Nazir, Sulaiman Khan, Habib Ullah Khan, et al.
IEEE Access (2020) Vol. 8, pp. 95714-95733
Open Access | Times Cited: 88
Machine learning for subtype definition and risk prediction in heart failure, acute coronary syndromes and atrial fibrillation: systematic review of validity and clinical utility
Amitava Banerjee, Suliang Chen, Ghazaleh Fatemifar, et al.
BMC Medicine (2021) Vol. 19, Iss. 1
Open Access | Times Cited: 57
The omics technologies and liquid biopsies: Advantages, limitations, applications
Daniele Magro, Marika Venezia, Carmela Rita Balistreri
Medicine in Omics (2024) Vol. 11, pp. 100039-100039
Open Access | Times Cited: 10
A machine learning approach to personalized dose adjustment of lamotrigine using noninvasive clinical parameters
Xiuqing Zhu, Wencan Huang, Haoyang Lu, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 35
Prediction Trough Concentrations of Valproic Acid Among Chinese Adult Patients with Epilepsy Using Machine Learning Techniques
Nannan Yao, Qianhua Zhao, Ying Cao, et al.
Pharmaceutical Research (2025)
Closed Access
Sex-Specific Analysis of Cardiovascular Function
Peter L. M. Kerkhof, Virginia M. Miller
Advances in experimental medicine and biology (2018)
Closed Access | Times Cited: 45
Big Data Features, Applications, and Analytics in Cardiology—A Systematic Literature Review
Shah Nazir, M. Nawaz, Awais Adnan, et al.
IEEE Access (2019) Vol. 7, pp. 143742-143771
Open Access | Times Cited: 40
Orthodontics in the era of big data analytics
Veerasathpurush Allareddy, Shankar Rengasamy Venugopalan, Romesh Nalliah, et al.
Orthodontics and Craniofacial Research (2019) Vol. 22, Iss. S1, pp. 8-13
Open Access | Times Cited: 39
Systematic analysis of healthcare big data analytics for efficient care and disease diagnosing
Sulaiman Khan, Habib Ullah Khan, Shah Nazir
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 21
Using Machine Learning Methods to Predict Bone Metastases in Breast Infiltrating Ductal Carcinoma Patients
Wencai Liu, Ming-Xuan Li, Shi‐Nan Wu, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 19
A machine-learning model for reducing misdiagnosis in heparin-induced thrombocytopenia: a prospective, multicenter, observational study
Henning Nilius, Adam Cuker, S. Haug, et al.
EClinicalMedicine (2022) Vol. 55, pp. 101745-101745
Open Access | Times Cited: 19
Unsupervised Machine Learning with Cluster Analysis in Patients Discharged after an Acute Coronary Syndrome: Insights from a 23,270-Patient Study
Tanya Mohammadi, Fabrizio D’Ascenzo, Martino Pepe, et al.
The American Journal of Cardiology (2023) Vol. 193, pp. 44-51
Open Access | Times Cited: 12
Role of surgeon intuition and computer-aided design in Fontan optimization: A computational fluid dynamics simulation study
Yue‐Hin Loke, Byeol Kim, Paige Mass, et al.
Journal of Thoracic and Cardiovascular Surgery (2020) Vol. 160, Iss. 1, pp. 203-212.e2
Open Access | Times Cited: 27
Visual Analysis of Psychological Resilience Research Based on Web of Science Database
Pan Su, Jindong Yi, Xiuwen Chen, et al.
Psychology Research and Behavior Management (2023) Vol. Volume 16, pp. 465-481
Open Access | Times Cited: 7
Identification and analysis of chemokine-related and NETosis-related genes in acute pancreatitis to develop a predictive model
Shuangyang Mo, Wen-Hong Wu, Kai Luo, et al.
Frontiers in Genetics (2024) Vol. 15
Open Access | Times Cited: 2
Can Artificial Intelligence Enhance Syncope Management?
Giselle M. Statz, Aron Z. Evans, Samuel L. Johnston, et al.
JACC Advances (2023) Vol. 2, Iss. 3, pp. 100323-100323
Open Access | Times Cited: 6
Machine learning:
Emerson Martins, Napoleão Verardi Galegale
International Journal of Innovation (2023) Vol. 11, Iss. 3, pp. e24056-e24056
Open Access | Times Cited: 5
The identification of clusters of risk factors and their association with hospitalizations or emergency department visits in home health care
Jiyoun Song, Sena Chae, Kathryn H. Bowles, et al.
Journal of Advanced Nursing (2022) Vol. 79, Iss. 2, pp. 593-604
Open Access | Times Cited: 8
Empowering rheumatology through digital health technologies: contributions and barriers
Diego Benavent, Loreto Carmona, J. F. Garcia Llorente, et al.
Exploration of Musculoskeletal Diseases (2024) Vol. 2, Iss. 2, pp. 92-105
Open Access | Times Cited: 1
Optimizing Patient Stratification in Healthcare: A Comparative Analysis of Clustering Algorithms for EHR Data
Abeer Aljohani
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 1
Possible pitfalls in the prediction of weight gain in middle-aged normal-weight individuals: Results from the NDB-K7Ps-study-2
Kei Nakajima, Airi Sekine, Ryoko Higuchi, et al.
Obesity Research & Clinical Practice (2024) Vol. 18, Iss. 4, pp. 255-262
Closed Access | Times Cited: 1
Development and validation of an artificial intelligence model for predicting de novo distant bone metastasis in breast cancer: a dual-center study
Wenhai Zhang, Yang Tan, Zhen Huang, et al.
BMC Women s Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Cloud services cost comparison: a clustering analysis framework
George Fragiadakis, Vasiliki Liagkou, Evangelia Filiopoulou, et al.
Computing (2023) Vol. 105, Iss. 10, pp. 2061-2088
Open Access | Times Cited: 4
Machine learning-derived blood culture classification with both predictive and prognostic values in the intensive care unit: A retrospective cohort study
Jin Zhang, Wanjun Liu, Wenyan Xiao, et al.
Intensive and Critical Care Nursing (2023) Vol. 80, pp. 103549-103549
Open Access | Times Cited: 3
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