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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 Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges
Tabinda Sarwar, Sattar Seifollahi, Jeffrey Chan, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 2, pp. 1-40
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Pre-large based high utility pattern mining for transaction insertions in incremental database
Hyeonmo Kim, Chanhee Lee, Taewoong Ryu, et al.
Knowledge-Based Systems (2023) Vol. 268, pp. 110478-110478
Closed Access | Times Cited: 21
Digital Neuropsychology beyond Computerized Cognitive Assessment: Applications of Novel Digital Technologies
Che Harris, Yingfei Tang, Eliana Birnbaum, et al.
Archives of Clinical Neuropsychology (2024) Vol. 39, Iss. 3, pp. 290-304
Open Access | Times Cited: 11
Heart failure disease prediction and stratification with temporal electronic health records data using patient representation
Liang Ye, Chonghui Guo
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 1, pp. 124-141
Closed Access | Times Cited: 19
Multimodal risk prediction with physiological signals, medical images and clinical notes
Yuanlong Wang, Changchang Yin, Ping Zhang
Heliyon (2024) Vol. 10, Iss. 5, pp. e26772-e26772
Open Access | Times Cited: 6
Personalized Federated Graph Learning on Non-IID Electronic Health Records
Tao Tang, Zhuoyang Han, Zhen Cai, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 35, Iss. 9, pp. 11843-11856
Closed Access | Times Cited: 5
Leveraging Natural Language Processing and Machine Learning Methods for Adverse Drug Event Detection in Electronic Health/Medical Records: A Scoping Review
Su Golder, Dongfang Xu, Karen O’Connor, et al.
Drug Safety (2025)
Open Access
A Survey on Exploring Real and Virtual Social Network Rumors: State-of-the-Art and Research Challenges
Qiang He, S.-Y. Zhang, Yuliang Cai, et al.
ACM Computing Surveys (2025)
Closed Access
Exploration and comparison of the effectiveness of swarm intelligence algorithm in early identification of cardiovascular disease
Tiantian Bai, Mengru Xu, Taotao Zhang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
AI-Driven decision-making for personalized elderly care: a fuzzy MCDM-based framework for enhancing treatment recommendations
Abeer Aljohani
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
Is ‘data science’ science?
Rachel Ellaway, Patricia O’Sullivan
Advances in Health Sciences Education (2025)
Closed Access
Machine learning applications in preventive healthcare: A systematic literature review on predictive analytics of disease comorbidity from multiple perspectives
Duo Xu, Zeshui Xu
Artificial Intelligence in Medicine (2024) Vol. 156, pp. 102950-102950
Closed Access | Times Cited: 4
A comprehensive survey of text classification techniques and their research applications: Observational and experimental insights
Kamal Taha, Paul D. Yoo, Chan Yeob Yeun, et al.
Computer Science Review (2024) Vol. 54, pp. 100664-100664
Open Access | Times Cited: 3
Real-time prediction of organ failures in patients with acute pancreatitis using longitudinal irregular data
Jiawei Luo, Lan Lan, Shixin Huang, et al.
Journal of Biomedical Informatics (2023) Vol. 139, pp. 104310-104310
Closed Access | Times Cited: 9
Applying Natural Language Processing to Textual Data From Clinical Data Warehouses: Systematic Review
Adrien Bazoge, Emmanuel Morin, Béatrice Daille, et al.
JMIR Medical Informatics (2023) Vol. 11, pp. e42477-e42477
Open Access | Times Cited: 7
Twin-RSA: deep learning-based automated heterogeneous data fusion approach for patient progression prediction using EHR data
Savita S. Hanji, Mahantesh N. Birje
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2
Predicting Alzheimer’s Disease with Interpretable Machine Learning
Maoni Jia, Yafei Wu, Chaoyi Xiang, et al.
Dementia and Geriatric Cognitive Disorders (2023) Vol. 52, Iss. 4, pp. 249-257
Closed Access | Times Cited: 5
Learning the progression patterns of treatments using a probabilistic generative model
Onintze Zaballa, Aritz Pérez, Elisa Gómez Inhiesto, et al.
Journal of Biomedical Informatics (2022) Vol. 137, pp. 104271-104271
Open Access | Times Cited: 8
Dental Service System into Blockchain Environment
Razi Azrie Ismail, Nur Haliza Abdul Wahab, Khairunnisa A. Kadir, et al.
International Journal of Innovative Computing (2023) Vol. 13, Iss. 1, pp. 47-58
Open Access | Times Cited: 4
Identifying Inequities in Video and Audio Telehealth Services for Primary Care Encounters During COVID-19: Repeated Cross-Sectional, Observational Study
Lorraine R Buis, Lindsay K. Brown, Melissa Plegue, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e49804-e49804
Open Access | Times Cited: 4
De-identification of Free Text Data containing Personal Health Information: A Scoping Review of Reviews
Bekelu Negash, Alan Katz, Christine Neilson, et al.
International Journal for Population Data Science (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 4
Evaluation frameworks for Artificial Intelligence in clinical settings: let's not reinvent the wheel (Preprint)
Kathrin Cresswell, Nicolette F. de Keizer, Farah Magrabi, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e46407-e46407
Open Access | Times Cited: 1
Cross Classification Matrix to Evaluate the Performance of Machine Learning Algorithms in Predicting Students Performance of Developing Regions
Imam Dad, Jianfeng He, Waheed Noor, et al.
SN Computer Science (2024) Vol. 5, Iss. 5
Closed Access | Times Cited: 1
Automated algorithm for medical data structuring, and segmentation using artificial intelligence within secured environment for dataset creation
Varatharajan Nainamalai, Hemin Ali Qair, Egidijus Pelanis, et al.
European Journal of Radiology Open (2024) Vol. 13, pp. 100582-100582
Open Access | Times Cited: 1
Framework For Predicting Suicidal Attempts Using Healthcare Data and Artificial Intelligence
Pradumn Saxena, Sandeep Prabhu
(2023), pp. 1085-1089
Closed Access | Times Cited: 3
Characterizing suicidal ideation, suicidal behaviors, and service utilization among unhoused individuals using a health information exchange
Zandra V. Ho, Sarah A. Arias, Zachary J. Kunicki, et al.
Journal of Clinical Psychology (2023) Vol. 79, Iss. 11, pp. 2542-2555
Open Access | Times Cited: 3
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