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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:

Cell clustering for spatial transcriptomics data with graph neural networks
Jiachen Li, Siheng Chen, Xiaoyong Pan, et al.
Nature Computational Science (2022) Vol. 2, Iss. 6, pp. 399-408
Closed Access | Times Cited: 118

Showing 1-25 of 118 citing articles:

Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST
Yahui Long, Kok Siong Ang, Mengwei Li, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 229
Clinical and translational values of spatial transcriptomics
Linlin Zhang, Dongsheng Chen, Dongli Song, et al.
Signal Transduction and Targeted Therapy (2022) Vol. 7, Iss. 1
Open Access | Times Cited: 119
SODB facilitates comprehensive exploration of spatial omics data
Zhiyuan Yuan, Wentao Pan, Xuan Zhao, et al.
Nature Methods (2023) Vol. 20, Iss. 3, pp. 387-399
Closed Access | Times Cited: 70
Integrating spatial and single-cell transcriptomics data using deep generative models with SpatialScope
Xiaomeng Wan, Jiashun Xiao, Sindy Sing Ting Tam, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 54
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
Tumor heterogeneity: preclinical models, emerging technologies, and future applications
Marco Proietto, Martina Crippa, C. Damiani, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 50
Profiling cell identity and tissue architecture with single-cell and spatial transcriptomics
Gunsagar S. Gulati, Jeremy Philip D’Silva, Yunhe Liu, et al.
Nature Reviews Molecular Cell Biology (2024) Vol. 26, Iss. 1, pp. 11-31
Closed Access | Times Cited: 31
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
PROST: quantitative identification of spatially variable genes and domain detection in spatial transcriptomics
Yuchen Liang, Guowei Shi, Runlin Cai, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 16
Identifying spatial domain by adapting transcriptomics with histology through contrastive learning
Yuansong Zeng, Rui Yin, Mai Luo, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Open Access | Times Cited: 28
STGNNks: Identifying cell types in spatial transcriptomics data based on graph neural network, denoising auto-encoder, and k-sums clustering
Lihong Peng, Xianzhi He, Xinhuai Peng, et al.
Computers in Biology and Medicine (2023) Vol. 166, pp. 107440-107440
Closed Access | Times Cited: 26
Deep learning in spatially resolved transcriptomics: a comprehensive technical view
Roxana Zahedi, Mohammad Reza Eftekhariyan Ghamsari, Ahmadreza Argha, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 15
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
Innovative super-resolution in spatial transcriptomics: a transformer model exploiting histology images and spatial gene expression
Chongyue Zhao, Zhongli Xu, Xinjun Wang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 11
Mapping cell-to-tissue graphs across human placenta histology whole slide images using deep learning with HAPPY
Claudia Vanea, Jelisaveta Džigurski, Valentina Rukins, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 11
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
Spatial-MGCN: a novel multi-view graph convolutional network for identifying spatial domains with attention mechanism
Bo Wang, Jiawei Luo, Ying Liu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Closed Access | Times Cited: 22
Latent feature extraction with a prior-based self-attention framework for spatial transcriptomics
Zhen Li, Xiaoyang Chen, Xuegong Zhang, et al.
Genome Research (2023) Vol. 33, Iss. 10, pp. 1757-1773
Open Access | Times Cited: 21
Identifying spatial domains of spatially resolved transcriptomics via multi-view graph convolutional networks
Xuejing Shi, Juntong Zhu, Yahui Long, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Closed Access | Times Cited: 18
Deep Learning in Single-cell Analysis
Dylan Molho, Jiayuan Ding, Wenzhuo Tang, et al.
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 3, pp. 1-62
Open Access | Times Cited: 7
Attention-guided variational graph autoencoders reveal heterogeneity in spatial transcriptomics
Lixin Lei, Kaitai Han, Zijun Wang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 7
Spatial transcriptomics: a new frontier in cancer research
Siyuan Huang, Linkun Ouyang, Junjie Tang, et al.
Clinical Cancer Bulletin (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 7
Accurately deciphering spatial domains for spatially resolved transcriptomics with stCluster
Tao Wang, Han Shu, Jialu Hu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 7
MNMST: topology of cell networks leverages identification of spatial domains from spatial transcriptomics data
Yu Wang, Zaiyi Liu, Xiaoke Ma
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 6
A point cloud segmentation framework for image-based spatial transcriptomics
Thomas Defard, Hugo Laporte, Mallick Ayan, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 6
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