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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:

An Explainable Artificial Intelligence Model Proposed for the Prediction of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and the Identification of Distinctive Metabolites
Fatma Hilal Yağın, Abedalrhman Alkhateeb, Ali Raza, et al.
Diagnostics (2023) Vol. 13, Iss. 23, pp. 3495-3495
Open Access | Times Cited: 15

Showing 15 citing articles:

Novel Transfer Learning Based Deep Features for Diagnosis of Down Syndrome in Children Using Facial Images
Ali Raza, Kashif Munir, Mubarak Almutairi, et al.
IEEE Access (2024) Vol. 12, pp. 16386-16396
Open Access | Times Cited: 15
The search for a blood-based biomarker for Myalgic Encephalomyelitis/ Chronic Fatigue Syndrome (ME/CFS): from biochemistry to electrophysiology
Krista S. P. Clarke, Caroline C. Kingdon, Michael Hughes, et al.
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access | Times Cited: 1
Novel Ensemble Learning Algorithm for Early Detection of Lower Back Pain Using Spinal Anomalies
Moin Haider, Muhammad Shadab Alam Hashmi, Ali Raza, et al.
Mathematics (2024) Vol. 12, Iss. 13, pp. 1955-1955
Open Access | Times Cited: 5
Machine learning and multi-omics in precision medicine for ME/CFS
Katherine Huang, Brett A. Lidbury, Natalie Thomas, et al.
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access
Machine Learning Reveals Impacts of Smoking on Gene Profiles of Different Cell Types in Lung
Qinglan Ma, Yulong Shen, Wei Guo, et al.
Life (2024) Vol. 14, Iss. 4, pp. 502-502
Open Access | Times Cited: 1
Novel approach exploring the correlation between presepsin and routine laboratory parameters using explainable artificial intelligence
Jae‐Seung Jeong, Takho Kang, Hyunsu Ju, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e33826-e33826
Open Access | Times Cited: 1
The use of artificial intelligence to improve mycetoma management
Hyam Omar Ali, Lamis Yahia Mohamed Elkheir, Ahmed Hassan Fahal
PLoS neglected tropical diseases (2024) Vol. 18, Iss. 2, pp. e0011914-e0011914
Open Access
Interpretable (not just posthoc-explainable) medical claims modeling for discharge placement to reduce preventable all-cause readmissions or death
Ted L. Chang, Hongjing Xia, Sonya Mahajan, et al.
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0302871-e0302871
Open Access
FPJA-Net: A Lightweight End-to-End Network for Sleep Stage Prediction Based on Feature Pyramid and Joint Attention
Zhi Liu, Qinhan Zhang, Sixin Luo, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 4, pp. 769-780
Closed Access
Developing an ensemble machine learning study: Insights from a multi-center proof-of-concept study
Annarita Fanizzi, Federico Fadda, M. Maddalo, et al.
PLoS ONE (2024) Vol. 19, Iss. 9, pp. e0303217-e0303217
Open Access
Classifying Dry Eye Disease Patients from Healthy Controls Using Machine Learning and Metabolomics Data
Sajad Amouei Sheshkal, Morten Gundersen, Michael A. Riegler, et al.
Diagnostics (2024) Vol. 14, Iss. 23, pp. 2696-2696
Open Access
Demystifying multiple sclerosis diagnosis using interpretable and understandable artificial intelligence
Krishnaraj Chadaga, Varada Vivek Khanna, Srikanth Prabhu, et al.
Journal of Intelligent Systems (2024) Vol. 33, Iss. 1
Open Access
Biomarker discovery and development of prognostic prediction model using metabolomic panel in breast cancer patients: a hybrid methodology integrating machine learning and explainable artificial intelligence
Fatma Hilal Yağın, Yasin Görmez, Fahaid Al‐Hashem, et al.
Frontiers in Molecular Biosciences (2024) Vol. 11
Open Access
Early Detection of Low Back Pain: A Machine Learning Approach with Enhanced Data Techniques
Moin Haider, Muhammad Shadab Alam Hashmi, Anam Ishaq, et al.
Indus journal of bioscience research. (2024) Vol. 2, Iss. 2, pp. 1362-1372
Open Access
A Comparative Study of Machine Learning Algorithms Using Explainable Artificial Intelligence System for Predicting Liver Disease
A. Nilofer, S. Sasikala
Deleted Journal (2023) Vol. 01
Open Access
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