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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:

Bi-stream CNN Down Syndrome screening model based on genotyping array
Bing Feng, William Hoskins, Yan Zhang, et al.
BMC Medical Genomics (2018) Vol. 11, Iss. S5
Open Access | Times Cited: 13

Showing 13 citing articles:

Comprehensive Review of Web Servers and Bioinformatics Tools for Cancer Prognosis Analysis
Hong Zheng, Guosen Zhang, Lu Zhang, et al.
Frontiers in Oncology (2020) Vol. 10
Open Access | Times Cited: 98
Bringing radiomics into a multi-omics framework for a comprehensive genotype–phenotype characterization of oncological diseases
Mario Zanfardino, Monica Franzese, Katia Pane, et al.
Journal of Translational Medicine (2019) Vol. 17, Iss. 1
Open Access | Times Cited: 91
Convolutional neural networks (CNNs): concepts and applications in pharmacogenomics
Joel Markus Vaz, S. Balaji
Molecular Diversity (2021) Vol. 25, Iss. 3, pp. 1569-1584
Open Access | Times Cited: 43
Bringing machine learning to research on intellectual and developmental disabilities: taking inspiration from neurological diseases
Chirag Gupta, Pramod Chandrashekar, Ting Jin, et al.
Journal of Neurodevelopmental Disorders (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 32
Deep learning for rare disease: A scoping review
Jung Hwan Lee, Cong Liu, Junyoung Kim, et al.
Journal of Biomedical Informatics (2022) Vol. 135, pp. 104227-104227
Open Access | Times Cited: 24
Alternative RNA Splicing as a Potential Major Source of Untapped Molecular Targets in Precision Oncology and Cancer Disparities
Timothy J. Robinson, Jennifer A. Freedman, Muthana Al Abo, et al.
Clinical Cancer Research (2019) Vol. 25, Iss. 10, pp. 2963-2968
Open Access | Times Cited: 37
Survey of deep learning techniques for disease prediction based on omics data
Xindi Yu, Shusen Zhou, Hailin Zou, et al.
Human Gene (2022) Vol. 35, pp. 201140-201140
Closed Access | Times Cited: 13
A single-nucleotide polymorphism induced alternative splicing in Tacr3 involves in hypoxic-ischemic brain damage
Lu‐Lu Xue, Fang Wang, Liu‐Lin Xiong, et al.
Brain Research Bulletin (2019) Vol. 154, pp. 106-115
Open Access | Times Cited: 7
Discrimination of alcohol dependence based on the convolutional neural network
Fangfang Chen, Xiao Meng, Cheng Chen, et al.
PLoS ONE (2020) Vol. 15, Iss. 10, pp. e0241268-e0241268
Open Access | Times Cited: 7
Smart Ultrasound Imaging and Soft Computing Analysis
Prajakta Ajay Khadkikar, Radhika Purandare, Pratibha Jadhav, et al.
Advances in medical technologies and clinical practice book series (2024), pp. 392-422
Closed Access
Early Detection of Down Syndrome Through Ultrasound Imaging Using Deep Learning Strategies — A Review
Vidhyasagar BS, Sree Chandana Madamanchi, Sivakumar Kalimuthu
(2024), pp. 1-6
Closed Access
Computational Method of Predicting Down Syndrome on Foetus by Utilizing First Trimester Ultrasound Scan
Jency Thomas, N. G. Resmi
(2023), pp. 132-137
Closed Access | Times Cited: 1
cSurvival: a web resource for biomarker interactions in cancer outcomes
Xuanjin Cheng, Yongxing Liu, Jiahe Wang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access
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