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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:

MRGCN: cancer subtyping with multi-reconstruction graph convolutional network using full and partial multi-omics dataset
Bo Yang, Yan Yang, Meng Wang, et al.
Bioinformatics (2023) Vol. 39, Iss. 6
Open Access | Times Cited: 12

Showing 12 citing articles:

Exploring the Application of the Artificial-Intelligence-Integrated Platform 3D Slicer in Medical Imaging Education
Ying Zhang, Hongbo Feng, Yan Zhao, et al.
Diagnostics (2024) Vol. 14, Iss. 2, pp. 146-146
Open Access | Times Cited: 10
Deeply integrating latent consistent representations in high-noise multi-omics data for cancer subtyping
Yueyi Cai, Shunfang Wang
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 7
Sulfonamides as anticancer agents: A brief review on sulfonamide derivatives as inhibitors of various proteins overexpressed in cancer
Khaled Elsayad, Ghada F. Elmasry, Sally Tarek Mahmoud, et al.
Bioorganic Chemistry (2024) Vol. 147, pp. 107409-107409
Closed Access | Times Cited: 7
Multi-omics integration with weighted affinity and self-diffusion applied for cancer subtypes identification
Xin Duan, Xinnan Ding, Zhuanzhe Zhao
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 6
Deep subspace clustering using dual self-expressiveness and convolutional fusion
Meng Li, Bo Yang, Tao Xue, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access
CSSEC: An adaptive approach integrating consensus and specific self-expressive coefficients for multi-omics cancer subtyping
Yueyi Cai, Nan Zhou, Junran Zhao, et al.
Methods (2025)
Closed Access
Multi-view contrastive clustering for cancer subtyping using fully and weakly paired multi-omics data
Yabin Kuang, Minzhu Xie, Z Zhao, et al.
Methods (2024) Vol. 232, pp. 1-8
Closed Access | Times Cited: 2
Explainable multi-omics deep clustering model reveals an important role of DNA methylation in pancreatic ductal adenocarcinoma
A. Lopez, John Zobolas, Ole Christian Lingjærde, et al.
Nordic Machine Intelligence (2024) Vol. 4, Iss. 2, pp. 26-42
Open Access | Times Cited: 1
DeepMoIC: multi-omics data integration via deep graph convolutional networks for cancer subtype classification
Junnan Wu, Zhaoliang Chen, Shunxin Xiao, et al.
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 1
IPFMC: an iterative pathway fusion approach for enhanced multi-omics clustering in cancer research
Haoyang Zhang, Liu Sha, Bingxin Li, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access
MoAGL-SA: a multi-omics adaptive integration method with graph learning and self attention for cancer subtype classification
Lei Cheng, Qian Huang, Zunmin Zhu, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Closed Access
Subtype-DCGCN: an unsupervised approach for cancer subtype diagnosis based on multi-omics data
Yabin Kuang, Minzhu Xie
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 33, pp. 554-559
Closed Access
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