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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 to stratify diabetic patients using novel cardiac biomarkers and integrative genomics
Quincy A. Hathaway, Skyler M. Roth, Mark V. Pinti, et al.
Cardiovascular Diabetology (2019) Vol. 18, Iss. 1
Open Access | Times Cited: 87

Showing 1-25 of 87 citing articles:

Machine learning and artificial intelligence based Diabetes Mellitus detection and self-management: A systematic review
Jyotismita Chaki, S. Thillai Ganesh, S.K Cidham, et al.
Journal of King Saud University - Computer and Information Sciences (2020) Vol. 34, Iss. 6, pp. 3204-3225
Open Access | Times Cited: 197
Environmental chemical exposure dynamics and machine learning-based prediction of diabetes mellitus
Hongcheng Wei, Jie Sun, Wenqi Shan, et al.
The Science of The Total Environment (2021) Vol. 806, pp. 150674-150674
Closed Access | Times Cited: 59
Machine learning for predicting chronic diseases: a systematic review
Felipe Mendes Delpino, Ândria Krolow Costa, Sabrina Ribeiro Farias, et al.
Public Health (2022) Vol. 205, pp. 14-25
Closed Access | Times Cited: 46
Uncovering the epigenetic regulatory clues of PRRT1 in Alzheimer’s disease: a strategy integrating multi-omics analysis with explainable machine learning
Fang Wang, Ying Liang, Qinwen Wang
Alzheimer s Research & Therapy (2025) Vol. 17, Iss. 1
Open Access | Times Cited: 1
Exposure to fine particulate matter promotes platelet activation and thrombosis via obesity-related inflammation
Dayu Hu, Jia Xu, Liyan Cui, et al.
Journal of Hazardous Materials (2021) Vol. 413, pp. 125341-125341
Closed Access | Times Cited: 42
Detection of diabetic patients in people with normal fasting glucose using machine learning
Kun Lv, Chunmei Cui, Rui Fan, et al.
BMC Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 19
Epigenetics in diabetic cardiomyopathy
Xiaozhu Ma, Shuai Mei, Qidamugai Wuyun, et al.
Clinical Epigenetics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 7
Machine learning for prediction of diabetes risk in middle-aged Swedish people
Lara Lama, Oskar Wilhelmsson, Erik Norlander, et al.
Heliyon (2021) Vol. 7, Iss. 7, pp. e07419-e07419
Open Access | Times Cited: 40
Machine learning analysis of pregnancy data enables early identification of a subpopulation of newborns with ASD
H. Caly, Hamed Rabiei, Perrine Coste-Mazeau, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 38
The promise of graphene-based transistors for democratizing multiomics studies
Hsiang‐Wei Lu, Alexander A. Kane, Jonathan Parkinson, et al.
Biosensors and Bioelectronics (2021) Vol. 195, pp. 113605-113605
Open Access | Times Cited: 36
Machine Learning Models for Inpatient Glucose Prediction
Andrew D. Zale, Nestoras Mathioudakis
Current Diabetes Reports (2022) Vol. 22, Iss. 8, pp. 353-364
Open Access | Times Cited: 23
Mitochondrial epigenetics in aging and cardiovascular diseases
Alessia Mongelli, Alessandro Mengozzi, Martin Andreas Geiger, et al.
Frontiers in Cardiovascular Medicine (2023) Vol. 10
Open Access | Times Cited: 15
Manipulation of the miR-378a/mt-ATP6 regulatory axis rescues ATP synthase in the diabetic heart and offers a novel role for lncRNA Kcnq1ot1
Andrya J. Durr, Quincy A. Hathaway, Amina Kunovac, et al.
AJP Cell Physiology (2022) Vol. 322, Iss. 3, pp. C482-C495
Open Access | Times Cited: 22
In Utero Nano-Titanium Dioxide Exposure Results in Sexually Dimorphic Weight Gain and Cardiovascular Function in Offspring
Russell Hunter, Teresa Gluth, Ethan Meadows, et al.
Cardiovascular Toxicology (2025)
Open Access
Machine learning-based risk prediction model for pertussis in children: a multicenter retrospective study
Juan Xie, Richard Ma, Yi Feng, et al.
BMC Infectious Diseases (2025) Vol. 25, Iss. 1
Open Access
Collaborative AI and Laboratory Medicine integration in precision cardiovascular medicine
Damien Gruson, Sergio Bernardini, Pradeep Kumar Dabla, et al.
Clinica Chimica Acta (2020) Vol. 509, pp. 67-71
Closed Access | Times Cited: 31
A prediction and interpretation framework of acute kidney injury in critical care
Kaidi Gong, Hyo Kyung Lee, Kaiye Yu, et al.
Journal of Biomedical Informatics (2020) Vol. 113, pp. 103653-103653
Closed Access | Times Cited: 28
COVID-19 mortality risk assessments for individuals with and without diabetes mellitus: Machine learning models integrated with interpretation framework
Heydar Khadem, Hoda Nemat, Mohammad R. Eissa, et al.
Computers in Biology and Medicine (2022) Vol. 144, pp. 105361-105361
Open Access | Times Cited: 18
Machine learning prediction model for post- hepatectomy liver failure in hepatocellular carcinoma: A multicenter study
Jitao Wang, Tianlei Zheng, Yong Liao, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 17
Use of Machine Learning Approaches in Clinical Epidemiological Research of Diabetes
Sanjay Basu, Karl Johnson, Seth A. Berkowitz
Current Diabetes Reports (2020) Vol. 20, Iss. 12
Closed Access | Times Cited: 26
Assessing the feasibility of applying machine learning to diagnosing non-effusive feline infectious peritonitis
Dawn Dunbar, Simon A. Babayan, Sarah Krumrie, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
A Promising Preoperative Prediction Model for Microvascular Invasion in Hepatocellular Carcinoma Based on an Extreme Gradient Boosting Algorithm
Weiwei Liu, Lifan Zhang, Zhaodan Xin, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 14
Comparative Analysis of Biomarkers in Type 2 Diabetes Patients With and Without Comorbidities: Insights Into the Role of Hypertension and Cardiovascular Disease
Symeon Savvopoulos, Haralampos Hatzikirou, Herbert F. Jelinek
Biomarker Insights (2024) Vol. 19
Open Access | Times Cited: 2
Physical frailty identification using machine learning to explore the 5-item FRAIL scale, Cardiovascular Health Study index, and Study of Osteoporotic Fractures index
Chen‐Cheng Yang, Po‐Hung Chen, Cheng-Hong Yang, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 2
Machine learning risk stratification for high-risk infant follow-up of term and late preterm infants
Katherine Carlton, Jiän Zhang, Erwin Cabacungan, et al.
Pediatric Research (2024)
Closed Access | Times Cited: 2
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