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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:

scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics
Qianqian Song, Jing Su, Wei Zhang
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 78

Showing 1-25 of 78 citing articles:

DSTG: deconvoluting spatial transcriptomics data through graph-based artificial intelligence
Qianqian Song, Jing Su
Briefings in Bioinformatics (2020) Vol. 22, Iss. 5
Open Access | Times Cited: 161
Machine Learning for Lung Cancer Diagnosis, Treatment, and Prognosis
Yawei Li, Wu Xin, Ping Yang, et al.
Genomics Proteomics & Bioinformatics (2022) Vol. 20, Iss. 5, pp. 850-866
Open Access | Times Cited: 84
Multimodal data integration for oncology in the era of deep neural networks: a review
Asim Waqas, Aakash Tripathi, Ravi P. Ramachandran, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 18
Graph Neural Networks for Multimodal Single-Cell Data Integration
Hongzhi Wen, Jiayuan Ding, Wei Jin, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), pp. 4153-4163
Open Access | Times Cited: 46
Application of Deep Learning on Single-Cell RNA Sequencing Data Analysis: A Review
Matthew Brendel, Chang Su, Zilong Bai, et al.
Genomics Proteomics & Bioinformatics (2022) Vol. 20, Iss. 5, pp. 814-835
Open Access | Times Cited: 40
CIForm as a Transformer-based model for cell-type annotation of large-scale single-cell RNA-seq data
Jing Xu, Aidi Zhang, Fang Liu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Closed Access | Times Cited: 24
Single-cell sequencing reveals the landscape of the human brain metastatic microenvironment
Qianqian Song, Jimmy Ruiz, Fei Xing, et al.
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 23
Single-cell omics: experimental workflow, data analyses and applications
Fengying Sun, Haoyan Li, Dongqing Sun, et al.
Science China Life Sciences (2024)
Closed Access | Times Cited: 8
DANCE: a deep learning library and benchmark platform for single-cell analysis
Jiayuan Ding, Renming Liu, Hongzhi Wen, et al.
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 6
Overview and Prospects of DNA Sequence Visualization
Wu Yan, Xiaojun Xie, Jihong Zhu, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 2, pp. 477-477
Open Access
Machine Intelligence in Single-Cell Data Analysis: Advances and New Challenges
Jiajia Liu, Zhiwei Fan, Weiling Zhao, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 51
Berberine Suppresses Stemness and Tumorigenicity of Colorectal Cancer Stem-Like Cells by Inhibiting m6A Methylation
Ziyi Zhao, Jinhao Zeng, Qiang Guo, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 40
Cancer Stem Cells and the Tumor Microenvironment in Gastric Cancer
Ying Yang, Wenjian Meng, Ziqiang Wang
Frontiers in Oncology (2022) Vol. 11
Open Access | Times Cited: 30
A universal framework for single-cell multi-omics data integration with graph convolutional networks
Hongli Gao, Bin Zhang, Long Liu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Open Access | Times Cited: 18
Progress in single-cell multimodal sequencing and multi-omics data integration
Xuefei Wang, Xinchao Wu, Ni Hong, et al.
Biophysical Reviews (2023) Vol. 16, Iss. 1, pp. 13-28
Open Access | Times Cited: 15
Graph neural network approaches for single-cell data: a recent overview
Konstantinos Lazaros, Dimitrios E. Koumadorakis, Panagiotis Vlamos, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 17, pp. 9963-9987
Closed Access | Times Cited: 4
scPriorGraph: constructing biosemantic cell–cell graphs with prior gene set selection for cell type identification from scRNA-seq data
Xiyue Cao, Yu‐An Huang, Zhu‐Hong You, et al.
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 4
DeePaN: deep patient graph convolutional network integrating clinico-genomic evidence to stratify lung cancers for immunotherapy
Chao Fang, Dong Xu, Jing Su, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 34
Deciphering cell types by integrating scATAC-seq data with genome sequences
Yuansong Zeng, Mai Luo, Ningyuan Shangguan, et al.
Nature Computational Science (2024) Vol. 4, Iss. 4, pp. 285-298
Open Access | Times Cited: 3
Learning deep features and topological structure of cells for clustering of scRNA-sequencing data
Haiyue Wang, Xiaoke Ma
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Closed Access | Times Cited: 19
A robust and scalable graph neural network for accurate single-cell classification
Yuansong Zeng, Zhuoyi Wei, Zixiang Pan, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 2
Open Access | Times Cited: 22
Mitochondrial-Associated Protein LRPPRC is Related With Poor Prognosis Potentially and Exerts as an Oncogene Via Maintaining Mitochondrial Function in Pancreatic Cancer
Li Wang, Jun Luo, Yuchen Li, et al.
Frontiers in Genetics (2022) Vol. 12
Open Access | Times Cited: 15
From mechanism to application: Decrypting light‐regulated denitrifying microbiome through geometric deep learning
Yang Liao, J. Zhao, Jiyong Bian, et al.
iMeta (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 2
scMGCN: A Multi-View Graph Convolutional Network for Cell Type Identification in scRNA-seq Data
Hongmin Sun, Haowen Qu, Kaifu Duan, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 4, pp. 2234-2234
Open Access | Times Cited: 2
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