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 and deep learning for longitudinal biomedical data: a review of methods and applications
Anna Cascarano, Jordi Mur-Petit, Jerónimo Hernández-González, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S2, pp. 1711-1771
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

AI-Driven Innovations in Alzheimer's Disease: Integrating Early Diagnosis, Personalized Treatment, and Prognostic Modelling
Mayur B. Kale, Nitu L. Wankhede, Rupali S. Pawar, et al.
Ageing Research Reviews (2024), pp. 102497-102497
Closed Access | Times Cited: 14

Artificial intelligence methods applied to longitudinal data from electronic health records for prediction of cancer: a scoping review
Victoria Moglia, Owen Johnson, G. Elliott Cook, et al.
BMC Medical Research Methodology (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 1

Machine Learning to Allocate Palliative Care Consultations During Cancer Treatment
Jiang Chen He, Gordon Taylor Moffat, Sho Podolsky, et al.
Journal of Clinical Oncology (2024) Vol. 42, Iss. 14, pp. 1625-1634
Closed Access | Times Cited: 5

Understanding machine learning applications in dementia research and clinical practice: a review for biomedical scientists and clinicians
Yihan Wang, Shu Liu, Alanna G. Spiteri, et al.
Alzheimer s Research & Therapy (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 5

Quantum computational infusion in extreme learning machines for early multi-cancer detection
Anas Bilal, Muhammad Shafiq, Waeal J. Obidallah, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access

Deep Learning in Glaucoma Detection and Progression Prediction: A Systematic Review and Meta-Analysis
Xiao Chun Ling, Henry Shen-Lih Chen, Po‐Han Yeh, et al.
Biomedicines (2025) Vol. 13, Iss. 2, pp. 420-420
Open Access

The Chemical Exposome on Ovarian Aging in Adult Women: a Narrative Review
Lauren Petrick, Lauren A. Wise, Elena Colicino, et al.
Current Pollution Reports (2025) Vol. 11, Iss. 1
Closed Access

Hallmarks of artificial intelligence contributions to precision oncology
Tiangen Chang, Seongyong Park, Alejandro A. Schäffer, et al.
Nature Cancer (2025)
Closed Access

Optimization Design of Protective Helmet Structure Guided by Machine Learning
Yongxing Chen, Junlong Wang, Long Peng, et al.
Processes (2025) Vol. 13, Iss. 3, pp. 877-877
Open Access

Artificial intelligence to improve cardiovascular population health
Benjamin Meder, Folkert W. Asselbergs, Euan A. Ashley
European Heart Journal (2025)
Open Access

Trajectories of platelet indices and their association with mortality in the ICU—a longitudinal cohort study
Usman Ali, Mridula Chopra, Gavin Knight
Scandinavian Journal of Clinical and Laboratory Investigation (2025), pp. 1-10
Closed Access

Longitudinal analysis of adolescents at high risk of depression: Prediction models
Jisu Park, Eun Kyoung Choi, Mona Choi
Applied Nursing Research (2025) Vol. 82, pp. 151927-151927
Closed Access

Towards proactive palliative care in oncology: developing an explainable EHR-based machine learning model for mortality risk prediction
Qingyuan Zhuang, Alwin Yaoxian Zhang, Ryan Shea Tan Ying Cong, et al.
BMC Palliative Care (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 3

The Role of the Microbiome and of Radiotherapy-Derived Metabolites in Breast Cancer
Lourdes Herrera‐Quintana, Héctor Vázquez‐Lorente, Rafael Cardoso Maciel Costa Silva, et al.
Cancers (2024) Vol. 16, Iss. 21, pp. 3671-3671
Open Access | Times Cited: 3

Bayesian and deep‐learning models applied to the early detection of ovarian cancer using multiple longitudinal biomarkers
Luis Abrego, Alexey Zaikin, Inés P. Mariño, et al.
Cancer Medicine (2024) Vol. 13, Iss. 7
Open Access | Times Cited: 2

Integrating Machine Learning in Metabolomics: A Path to Enhanced Diagnostics and Data Interpretation
Yudian Xu, Linlin Cao, Yifan Chen, et al.
Small Methods (2024)
Closed Access | Times Cited: 2

Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling
Gregory Holste, Mingquan Lin, Ruiwen Zhou, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 1

Deep learning-based multimodal spatial transcriptomics analysis for cancer
Pankaj Rajdeo, Bruce J. Aronow, V. B. Surya Prasath
Advances in cancer research (2024), pp. 1-38
Open Access | Times Cited: 1

Small Data Approaches to Link Faster Time Scale Engagement Dynamics with Slower Time Scale Outcomes in Biobehavioral Interventions
Jingchuan Wu, Nilàm Ram, James G. Marks, et al.
Chinese Political Science Review (2024)
Closed Access

Using Human Resources Data to Predict Turnover of Community Mental Health Employees: Prediction and Interpretation of Machine Learning Methods
Wei Wu, Sadaaki Fukui
International Journal of Mental Health Nursing (2024) Vol. 33, Iss. 6, pp. 2180-2192
Open Access

Revolutionizing Research Methodologies: The Emergence of Research 5.0 through AI, Automation, and Blockchain
Rachid Ejjami -
International Journal For Multidisciplinary Research (2024) Vol. 6, Iss. 4
Open Access

Head and Neck Sarcoma Assessor (HaNSA) for treatment decisions using real-world data
M.Y.S. See, Janice Jia Ni Goh, Chen Ee Low, et al.
ESMO Real World Data and Digital Oncology (2024) Vol. 5, pp. 100069-100069
Open Access

Interventions for Patients with Complex Medical and Social Needs
Hari Balasubramanian, Sangeeta Prakash, Ali Jafari, et al.
(2024), pp. 358-391
Closed Access

A Unified Model for Longitudinal Multi-Modal Multi-View Prediction with Missingness
Boqi Chen, Junier B. Oliva, Marc Niethammer
Lecture notes in computer science (2024), pp. 410-420
Closed Access

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