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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:

Elucidating tumor heterogeneity from spatially resolved transcriptomics data by multi-view graph collaborative learning
Chunman Zuo, Yijian Zhang, Chen Cao, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Identifying multicellular spatiotemporal organization of cells with SpaceFlow
Honglei Ren, Benjamin L. Walker, Zixuan Cang, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 101
Benchmarking spatial clustering methods with spatially resolved transcriptomics data
Zhiyuan Yuan, Fangyuan Zhao, Senlin Lin, et al.
Nature Methods (2024) Vol. 21, Iss. 4, pp. 712-722
Closed Access | Times Cited: 52
MENDER: fast and scalable tissue structure identification in spatial omics data
Zhiyuan Yuan
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 21
Molecular principles underlying aggressive cancers
Ruth Nussinov, Bengi Ruken Yavuz, Hyunbum Jang
Signal Transduction and Targeted Therapy (2025) Vol. 10, Iss. 1
Open Access | Times Cited: 3
Benchmarking clustering, alignment, and integration methods for spatial transcriptomics
Yunfei Hu, Manfei Xie, Yikang Li, et al.
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 12
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: 11
Multi-view subspace clustering based on adaptive search
Anxue Dong, Zikai Wu, Hongjuan Zhang
Knowledge-Based Systems (2024) Vol. 289, pp. 111553-111553
Closed Access | Times Cited: 8
Dissecting tumor microenvironment from spatially resolved transcriptomics data by heterogeneous graph learning
Chunman Zuo, Junjie Xia, Luonan Chen
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 8
Decoding functional cell–cell communication events by multi-view graph learning on spatial transcriptomics
Haochen Li, Tianxing Ma, Minsheng Hao, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 6
Open Access | Times Cited: 22
Single-cell characterization of infiltrating T cells identifies novel targets for gallbladder cancer immunotherapy
Yi‐Jian Zhang, Chunman Zuo, Yang Li, et al.
Cancer Letters (2024) Vol. 586, pp. 216675-216675
Open Access | Times Cited: 7
Quantifying disorder one atom at a time using an interpretable graph neural network paradigm
James Chapman, Tim Hsu, Xiao Chen, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 11
Towards interpretable imaging genomics analysis: Methodological developments and applications
Xiaoping Cen, Wei Dong, Wei Lv, et al.
Information Fusion (2023) Vol. 102, pp. 102032-102032
Closed Access | Times Cited: 11
A multi-view graph contrastive learning framework for deciphering spatially resolved transcriptomics data
Lei Zhang, Shu Liang, Lin Wan
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 4
MuCST: restoring and integrating heterogeneous morphology images and spatial transcriptomics data with contrastive learning
Yu Wang, Zaiyi Liu, Xiaoke Ma
Genome Medicine (2025) Vol. 17, Iss. 1
Open Access
Graph neural networks for single-cell omics data: a review of approaches and applications
Shiming Li, Heyang Hua, Shengquan Chen
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
NeST: nested hierarchical structure identification in spatial transcriptomic data
Benjamin L. Walker, Qing Nie
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 10
Engineering Heterogeneous Tumor Models for Biomedical Applications
Zhuhao Wu, Danqing Huang, Jinglin Wang, et al.
Advanced Science (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 7
SOmicsFusion: Multimodal coregistration and fusion between spatial metabolomics and biomedical imaging
Ang Guo, Zhiyu Chen, Yinzhong Ma, et al.
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 1, pp. 100058-100058
Open Access | Times Cited: 2
A contrastive learning approach to integrate spatial transcriptomics and histological images
Yu Lin, Yanchun Liang, Duolin Wang, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 1786-1795
Open Access | Times Cited: 2
Dissecting Spatiotemporal Structures in Spatial Transcriptomics via Diffusion-based Adversarial Learning
Haiyun Wang, Jianping Zhao, Qing Nie, et al.
Research (2024) Vol. 7
Open Access | Times Cited: 2
Revealing Tissue Heterogeneity and Spatial Dark Genes from Spatially Resolved Transcriptomics by Multiview Graph Networks
Ying Li, Yuejing Lu, Kang Chen, et al.
Research (2023) Vol. 6
Open Access | Times Cited: 6
Tumor microenvironment interplay amid microbial community, host gene expression and pathological features elucidates cancer heterogeneity and prognosis risk
Lei Ji, Haohong Zhang, Geng Tian, et al.
The Innovation Life (2023) Vol. 1, Iss. 2, pp. 100028-100028
Open Access | Times Cited: 5
A review of recent advances in spatially resolved transcriptomics data analysis
Yue Gao, Ying-Lian Gao, Jing Jing, et al.
Neurocomputing (2024) Vol. 603, pp. 128283-128283
Closed Access | Times Cited: 1
eMCI: an Explainable Multimodal Correlation Integration Model for Unveiling Spatial Transcriptomics and Intercellular Signaling
Renhao Hong, Y Tong, Hui Tang, et al.
Research (2024) Vol. 7
Open Access | Times Cited: 1
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