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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:

Unsupervised Spatially Embedded Deep Representation of Spatial Transcriptomics
Huazhu Fu, Hang Xu, Kelvin Kian Long Chong, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 78

Showing 26-50 of 78 citing articles:

Novel insights into kidney disease: the scRNA-seq and spatial transcriptomics approaches: a literature review
Mingming Ma, Qiao Luo, Liangmei Chen, et al.
BMC Nephrology (2025) Vol. 26, Iss. 1
Open Access
Vesalius: high‐resolution in silico anatomization of spatial transcriptomic data using image analysis
Patrick Martin, Hyobin Kim, Cecilia Lövkvist, et al.
Molecular Systems Biology (2022) Vol. 18, Iss. 9
Open Access | Times Cited: 18
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
The promise and challenge of spatial omics in dissecting tumour microenvironment and the role of AI
Ren Yuan Lee, Chan Way Ng, Menaka Priyadharsani Rajapakse, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 9
MVST: Identifying spatial domains of spatial transcriptomes from multiple views using multi-view graph convolutional networks
Hao Duan, Qingchen Zhang, Feifei Cui, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 9, pp. e1012409-e1012409
Open Access | Times Cited: 3
Mapping the topography of spatial gene expression with interpretable deep learning
Uthsav Chitra, Brian J. Arnold, Hirak Sarkar, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 8
stAA: adversarial graph autoencoder for spatial clustering task of spatially resolved transcriptomics
Zhaoyu Fang, Teng Liu, Ruiqing Zheng, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 8
Deciphering tissue heterogeneity from spatially resolved transcriptomics by the autoencoder-assisted graph convolutional neural network
Xinxing Li, Wendong Huang, Xuan Xu, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 7
stGCL: A versatile cross-modality fusion method based on multi-modal graph contrastive learning for spatial transcriptomics
Na Yu, Daoliang Zhang, Wei Zhang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 7
Integrating spatial transcriptomics data across different conditions, technologies, and developmental stages
Xiang Zhou, Kangning Dong, Shihua Zhang
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 11
STGIC: A graph and image convolution-based method for spatial transcriptomic clustering
Chen Zhang, Junhui Gao, Hongyu Chen, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 2, pp. e1011935-e1011935
Open Access | Times Cited: 2
Next‐generation spatial transcriptomics: unleashing the power to gear up translational oncology
Nan Wang, Weifeng Hong, Yixing Wu, et al.
MedComm (2024) Vol. 5, Iss. 10
Open Access | Times Cited: 2
CellCharter reveals spatial cell niches associated with tissue remodeling and cell plasticity
Marco Varrone, Daniele Tavernari, Albert Santamaria‐Martínez, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
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
GNTD: reconstructing spatial transcriptomes with graph-guided neural tensor decomposition informed by spatial and functional relations
Tianci Song, Charles Broadbent, Rui Kuang
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Spatial Transcriptomic Alignment, Integration, and de novo 3D Reconstruction by STAIR
Yuanyuan Yu, Zhi Xie
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
STCC: consensus clustering enhances spatial domain detection for spatial transcriptomics data
Congcong Hu, Nana Wei, Jiyuan Yang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
A Universal Framework for Spatial Transcriptomics Data Mining with Interpretable Unsupervised Graph Representation Learning
Long Liu, Shuyuan Bi, Ning Wang, et al.
(2024)
Closed Access | Times Cited: 1
A graph self-supervised residual learning framework for domain identification and data integration of spatial transcriptomics
Jinjin Huang, Xiaoqian Fu, Z.Q. Zhang, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 1
SGCAST: symmetric graph convolutional auto-encoder for scalable and accurate study of spatial transcriptomics
Jinzhao Li, Jiong Wang, Zhixiang Lin
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 3
Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST
Yahui Long, Kok Siong Ang, Mengwei Li, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 5
Contrastively generative self-expression model for single-cell and spatial multimodal data
Chengming Zhang, Yiwen Yang, Shijie Tang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Closed Access | Times Cited: 2
SpatialPrompt: spatially aware scalable and accurate tool for spot deconvolution and clustering in spatial transcriptomics
Asish Kumar Swain, Vrushali Pandit, Jyoti Sharma, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Hexagonal image segmentation on spatially resolved transcriptomics
Jing Gao, Kai Hu, Fa Zhang, et al.
Methods (2023) Vol. 220, pp. 61-68
Closed Access | Times Cited: 2
STAIG: Spatial Transcriptomics Analysis via Image-Aided Graph Contrastive Learning for Domain Exploration and Alignment-Free Integration
Yitao Yang, Yang Cui, Xin Zeng, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2

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