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:
Classification of Alzheimer's disease using robust TabNet neural networks on genetic data
Yu Jin, Zhe Ren, Wenjie Wang, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 5, pp. 8358-8374
Open Access | Times Cited: 8
Yu Jin, Zhe Ren, Wenjie Wang, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 5, pp. 8358-8374
Open Access | Times Cited: 8
Showing 8 citing articles:
A review and analysis of key biomarkers in Alzheimer’s disease
Zhihao Zhang, Xiangtao Liu, Suixia Zhang, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 5
Zhihao Zhang, Xiangtao Liu, Suixia Zhang, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 5
Comparative Analysis of Machine Learning Algorithms for Identifying Genetic Markers Linked to Alzheimer’s Disease
Juliana F Alves, Eduardo Costa, Alencar Xavier, et al.
Lecture notes in computer science (2025), pp. 157-171
Closed Access
Juliana F Alves, Eduardo Costa, Alencar Xavier, et al.
Lecture notes in computer science (2025), pp. 157-171
Closed Access
Machine Learning Methods for Classifying Multiple Sclerosis and Alzheimer’s Disease Using Genomic Data
Magdalena Arnal, Giorgio Bini, Anastasia Krithara, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 5, pp. 2085-2085
Open Access
Magdalena Arnal, Giorgio Bini, Anastasia Krithara, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 5, pp. 2085-2085
Open Access
Biomarkers of Neurotoxicity and Disease
William Slikker, Serguei Liachenko, Xuan Zhang, et al.
Elsevier eBooks (2025)
Closed Access
William Slikker, Serguei Liachenko, Xuan Zhang, et al.
Elsevier eBooks (2025)
Closed Access
Designing interpretable deep learning applications for functional genomics: a quantitative analysis
Arno van Hilten, Sonja Katz, Edoardo Saccenti, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 1
Arno van Hilten, Sonja Katz, Edoardo Saccenti, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 1
Explainable Machine Learning Models for Brain Diseases: Insights from a Systematic Review
Mirko Jerber Rodríguez Mallma, Luis Zuloaga-Rotta, Rubén Borja-Rosales, et al.
Neurology International (2024) Vol. 16, Iss. 6, pp. 1285-1307
Open Access | Times Cited: 1
Mirko Jerber Rodríguez Mallma, Luis Zuloaga-Rotta, Rubén Borja-Rosales, et al.
Neurology International (2024) Vol. 16, Iss. 6, pp. 1285-1307
Open Access | Times Cited: 1
Comparative Study for Optimized Deep Learning-Based Road Accidents Severity Prediction Models
Hussam Hijazi, Karim Sattar, Hassan M. Al-Ahmadi, et al.
Arabian Journal for Science and Engineering (2023) Vol. 49, Iss. 4, pp. 5853-5873
Closed Access | Times Cited: 2
Hussam Hijazi, Karim Sattar, Hassan M. Al-Ahmadi, et al.
Arabian Journal for Science and Engineering (2023) Vol. 49, Iss. 4, pp. 5853-5873
Closed Access | Times Cited: 2
Development of a deep learning model for predicting recurrence of hepatocellular carcinoma after liver transplantation
Seung Hyoung Ko, Jie Cao, Yong-kang Yang, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access
Seung Hyoung Ko, Jie Cao, Yong-kang Yang, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access
