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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 51-75 of 78 citing articles:

SECE: accurate identification of spatial domain by incorporating global spatial proximity and local expression proximity
Yuanyuan Yu, Yao He, Zhi Xie
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Deciphering Spatial Domains by Integrating Histopathological Image and Transcriptomics via Contrastive Learning
Yuansong Zeng, Rui Yin, Mai Luo, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 4
WEST: An Ensemble Method for Spatial Transcriptomics Analysis
Jiazhang Cai, Huimin Cheng, Wenxuan Zhong, et al.
(2024)
Closed Access
Spatial domains identification in spatial transcriptomics by domain knowledge-aware and subspace-enhanced graph contrastive learning
Gui Yang, Chao Li, Yan Xu
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
HyperGCN: an effective deep representation learning framework for the integrative analysis of spatial transcriptomics data
Yuanyuan Ma, Lifang Liu, Yongbiao Zhao, et al.
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access
Statistical batch-aware embedded integration, dimension reduction and alignment for spatial transcriptomics
Yanfang Li, Shihua Zhang
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Foundation models in molecular biology
Yunda Si, Jiawei Zou, Yicheng Gao, et al.
Biophysics Reports (2024) Vol. 10, pp. 1-1
Open Access
Supervised Analysis of Alternative Polyadenylation from Single-Cell and Spatial Transcriptomics Data with spvAPA
Qinglong Zhang, Liping Kang, Haoran Yang, et al.
(2024)
Closed Access
Cross-view graph neural networks for spatial domain identification by integrating gene expression, spatial locations with histological images
Songyan Liu, Yin Guo, Zixuan Zhang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Unveiling Fine-scale Spatial Structures and Amplifying Gene Expression Signals in Ultra-Large ST slices with HERGAST
Yuqiao Gong, Xin Yuan, Qiong Jiao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
RGAST: Relational Graph Attention Network for Spatial Transcriptome Analysis
Yuqiao Gong, Zhangsheng Yu
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Harmonic representations of regions and interactions in spatial transcriptomics
Kamal Maher, Xiao Wang
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Spatial domains identification in spatial transcriptomics using modality-aware and subspace-enhanced graph contrastive learning
Gui Yang, Chao Li, Yan Xu
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 3703-3713
Open Access
Tissue identification on spatial transcriptomics using variational graph auto-encoder
Junzhi Wang, Yicong Liu, Chao Sun, et al.
(2024), pp. 285-291
Closed Access
Spatially aware self-representation learning for tissue structure characterization and spatial functional genes identification
Chuanchao Zhang, Xinxing Li, Wendong Huang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Spatial Domain Identification Based on Graph Attention Denoising Auto-encoder
Yue Gao, Dai-Jun Zhang, Cui-Na Jiao, et al.
Lecture notes in computer science (2023), pp. 359-367
Closed Access | Times Cited: 1
Spatially Resolved Gene Expression is Not Necessary for Identifying Spatial Domains
Senlin Lin, Yi Zhao, Zhiyuan Yuan
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Spatial-ID: a cell typing method for spatially resolved transcriptomics via transfer learning and spatial embedding
Rongbo Shen, Lin Liu, Zihan Wu, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 2
Spatial Transcriptomics Prediction from Histology jointly through Transformer and Graph Neural Networks
Yuansong Zeng, Zhuoyi Wei, Weijiang Yu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Closed Access | Times Cited: 2
SOTIP: a Unified Framework for Microenvironment Modelling with Spatial Omics Data
Zhiyuan Yuan, Yisi Li, Minglei Shi, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
PAST: latent feature extraction with a Prior-based self-Attention framework for Spatial Transcriptomics
Zhen Li, Xiaoyang Chen, Xuegong Zhang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1
Efficient reliability analysis of spatially resolved transcriptomics at varying resolutions using SpaSEG
Yong Bai, Xiangyu Guo, Keyin Liu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1
Reconstructing Spatial Transcriptomes with Graph-guided Neural Tensor Decomposition Informed by Spatial and Functional Relations
Rui Kuang, Tianci Song, Charles Broadbent
Research Square (Research Square) (2023)
Open Access
Interpretable spatially aware dimension reduction of spatial transcriptomics with STAMP
Jinmiao Chen, Chengwei Zhong, Kok Siong Ang
Research Square (Research Square) (2023)
Open Access
SpatialPrompt: spatially aware scalable and accurate tool for spot deconvolution and domain identification in spatial transcriptomics
Pankaj Yadav, Asish Kumar Swain, Vrushali Pandit, et al.
Research Square (Research Square) (2023)
Open Access

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