Open Access Helper

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:

Pan-Cancer Metastasis Prediction Based on Graph Deep Learning Method
Yining Xu, Xinran Cui, Yadong Wang
Frontiers in Cell and Developmental Biology (2021) Vol. 9
Open Access | Times Cited: 10

Showing 10 citing articles:

Deep learning facilitates multi-data type analysis and predictive biomarker discovery in cancer precision medicine
Vivek Bhakta Mathema, Partho Sen, Santosh Lamichhane, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 1372-1382
Open Access | Times Cited: 39
Breast Cancer Prognosis Using Machine Learning and Artificial Intelligence: A Review of Predictive Models in Breast Cancer Metastasis
João Rocha Rocha-Gomes, Inês Fortuna
Smart innovation, systems and technologies (2025), pp. 103-113
Closed Access
Machine learning in metastatic cancer research: Potentials, possibilities, and prospects
Olutomilayo Olayemi Petinrin, Faisal Saeed, Muhammad Toseef, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 2454-2470
Open Access | Times Cited: 9
MetastaSite: Predicting metastasis to different sites using deep learning with gene expression data
Somayah Albaradei, Abdurhman Albaradei, Asim Alsaedi, et al.
Frontiers in Molecular Biosciences (2022) Vol. 9
Open Access | Times Cited: 7
Machine-learning-based risk stratification for probability of dying in patients with basal ganglia hemorrhage
Lili Guo, Nuoyangfan Lei, Mou Gao, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 4
Unveiling pathogenesis and therapeutic targets of metastatic breast cancer through sparse modeling of genomic landscape
Mengchen Pu, Kai Tian, Weisheng Zheng, et al.
Deleted Journal (2024) Vol. 1, pp. 100007-100007
Open Access
Multiple Query-based Multi-omics Fusion Algorithm for Cancer Classification and Metastasis Prediction
Xin Chen, Yun Tie, Fenghui Liu, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 22, pp. 1-9
Closed Access
Sparse Modeling of Genomic Landscape Identifies Pathogenic Processes and Therapeutic Targets in Metastatic Breast Cancer
Mengchen Pu, Kai Tian, Weisheng Zheng, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Unveiling Pathogenesis and Therapeutic Targets of Metastatic Breast Cancer Through Sparse Modelling of Genomic Landscape
Yingsheng Zhang, Mengchen Pu, Kai Tian, et al.
Research Square (Research Square) (2023)
Open Access
Novel Multikernel Trick for Predicting Pan-CancerDistant Metastatic Sites Using a Feature Extraction Strategy
Yining Xu, Liyuan Zhang, Xinran Cui, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2021), pp. 1899-1905
Closed Access
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