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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:

GCN-GENE: A novel method for prediction of coronary heart disease-related genes
Tong Zhang, Yixuan Lin, Wei‐Min He, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 105918-105918
Closed Access | Times Cited: 13

Showing 13 citing articles:

Remaining useful life prediction via a deep adaptive transformer framework enhanced by graph attention network
Pengfei Liang, Ying Li, Bin Wang, et al.
International Journal of Fatigue (2023) Vol. 174, pp. 107722-107722
Closed Access | Times Cited: 38
XAI–reduct: accuracy preservation despite dimensionality reduction for heart disease classification using explainable AI
Surajit Das, Mahamuda Sultana, S. D. Bhattacharya, et al.
The Journal of Supercomputing (2023) Vol. 79, Iss. 16, pp. 18167-18197
Open Access | Times Cited: 19
A Real-Time Computer-Aided Diagnosis System for Coronary Heart Disease Prediction Using Clinical Information
Huiqian Tao, Chengfeng Wang, Hongxia Qi, et al.
Reviews in Cardiovascular Medicine (2025) Vol. 26, Iss. 3
Open Access
Machine learning and multi-omics integration: advancing cardiovascular translational research and clinical practice
Mingzhi Lin, Jiuqi Guo, Zhilin Gu, et al.
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access
Application of nanoultrasonography in early diagnosis of coronary heart disease
Weiping Wan, Jianmin Zhou, Xiaoming Ha, et al.
Nanomedicine (2024), pp. 1-11
Closed Access | Times Cited: 2
Artificial Intelligence for Risk Assessment on Primary Prevention of Coronary Artery Disease
Shang‐Fu Chen, Salvatore Loguercio, Kaiyu Chen, et al.
Current Cardiovascular Risk Reports (2023) Vol. 17, Iss. 12, pp. 215-231
Open Access | Times Cited: 6
Vitamin D levels and five cardiovascular diseases: A Mendelian randomization study
Zhishuai Zhang, Shizheng Qiu, Zhaoqing Wang, et al.
Heliyon (2023) Vol. 10, Iss. 1, pp. e23674-e23674
Open Access | Times Cited: 6
Prediction of systemic lupus erythematosus-related genes based on graph attention network and deep neural network
Fang Fang, Yizhou Sun
Computers in Biology and Medicine (2024) Vol. 175, pp. 108371-108371
Closed Access | Times Cited: 1
A Study on the Influence of Sensors in Frequency and Time Domains on Context Recognition
Pedro de Souza, Diógenes Henrique de Siqueira‐Silva, Isabella de Andrade, et al.
Sensors (2023) Vol. 23, Iss. 12, pp. 5756-5756
Open Access | Times Cited: 2
Genetic Polymorphism in miRNA Genes and their Association with Susceptibility of Coronary Heart Disease: an updated review
Khalid Ali Khan, Alaptagin Khan, Zia Ur Rahman, et al.
Pathology - Research and Practice (2024) Vol. 264, pp. 155675-155675
Closed Access
LIMO-GCN: a linear model-integrated graph convolutional network for predicting Alzheimer disease genes
Cui-Xiang Lin, Hong‐Dong Li, Jianxin Wang
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access
Integration of multi-source gene interaction networks and omics data with graph attention networks to identify novel disease genes
Kaiyuan Yang, Jiabei Cheng, Shenghao Cao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Predicting cell-type specific disease genes of diabetes with the biological network
Menghan Zhang, Jingru Wang, Wei Wang, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107849-107849
Closed Access | Times Cited: 1
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