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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:

Estimation of Obesity Levels through the Proposed Predictive Approach Based on Physical Activity and Nutritional Habits
Harika Gözükara Bağ, Fatma Hilal Yağın, Yasin Görmez, et al.
Diagnostics (2023) Vol. 13, Iss. 18, pp. 2949-2949
Open Access | Times Cited: 12

Showing 12 citing articles:

A Secure Blockchain‐Based Health Prediction Framework Using Mantaray Optimization
Garima Verma
Security and Privacy (2025) Vol. 8, Iss. 2
Closed Access | Times Cited: 1
Pilot-Study to Explore Metabolic Signature of Type 2 Diabetes: A Pipeline of Tree-Based Machine Learning and Bioinformatics Techniques for Biomarkers Discovery
Fatma Hilal Yağın, Fahaid Al‐Hashem, Irshad Ahmad, et al.
Nutrients (2024) Vol. 16, Iss. 10, pp. 1537-1537
Open Access | Times Cited: 4
Obesity classification and prognosis using machine learning
Aditya Kumar Tripathi, Nupa Ram Chauhan, Amit Sharma
AIP conference proceedings (2025) Vol. 3224, pp. 020050-020050
Closed Access
Comparing logistic regression and machine learning for obesity risk prediction: a systematic review and meta-analysis
Nancy Fosua Boakye, Ciarán Courtney O’Toole, Amirhossein Jalali, et al.
International Journal of Medical Informatics (2025), pp. 105887-105887
Closed Access
Acute ischemic stroke prediction and predictive factors analysis using hematological indicators in elderly hypertensives post-transient ischemic attack
Chang Shu, Chenguang Zheng, Da Luo, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Assessment of Sepsis Risk at Admission to the Emergency Department: Clinical Interpretable Prediction Model
Umran Aygun, Fatma Hilal Yağın, Burak Yagin, et al.
Diagnostics (2024) Vol. 14, Iss. 5, pp. 457-457
Open Access | Times Cited: 2
Does machine learning have a high performance to predict obesity among adults and older adults? A systematic review and meta-analysis
Felipe Mendes Delpino, Ândria Krolow Costa, Murilo César do Nascimento, et al.
Nutrition Metabolism and Cardiovascular Diseases (2024) Vol. 34, Iss. 9, pp. 2034-2045
Closed Access | Times Cited: 1
Machine learning allows robust classification of visceral fat in women with obesity using common laboratory metrics
F. Palmieri, Nidà Farooq Akhtar, Adriana Pané, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Platelet Metabolites as Candidate Biomarkers in Sepsis Diagnosis and Management Using the Proposed Explainable Artificial Intelligence Approach
Fatma Hilal Yağın, Umran Aygun, Abdulmohsen Algarni, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 17, pp. 5002-5002
Open Access | Times Cited: 1
Efectividad de la actividad física en la prevención y tratamiento de la obesidad: una revisión de la literatura
Y. González, Diana Lucia Vega-Díaz
Revista digital Actividad Física y Deporte (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 3
The Role of Machine Learning in Obesity Prediction Across Latin American Populations: A Study on the Effectiveness of Different Approaches
Sreeja Pamu, Jayaprakash Vemuri
Communications in computer and information science (2024), pp. 295-309
Closed Access
An investigation of ensemble learning techniques for obesity risk prediction using lifestyle data
Shahid Mohammad Ganie, B. Eswara Reddy, K Hemachandran, et al.
Decision Analytics Journal (2024), pp. 100539-100539
Open Access
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