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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:

Evaluating the Utilities of Foundation Models in Single-cell Data Analysis
Tianyu Liu, Kexing Li, Yuge Wang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 16

Showing 16 citing articles:

Transformers in single-cell omics: a review and new perspectives
Artur Szałata, Karin Hrovatin, Sören Becker, et al.
Nature Methods (2024) Vol. 21, Iss. 8, pp. 1430-1443
Closed Access | Times Cited: 17
Nicheformer: A Foundation Model for Single-Cell and Spatial Omics
Anna C. Schaar, Alejandro Tejada-Lapuerta, Giovanni Palla, et al.
(2024)
Open Access | Times Cited: 7
Deep learning-based predictions of gene perturbation effects do not yet outperform simple linear methods
Constantin Ahlmann-Eltze, Wolfgang Huber, Simon Anders
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 7
Nicheformer: a foundation model for single-cell and spatial omics
Anna C. Schaar, Alejandro Tejada-Lapuerta, Giovanni Palla, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 6
Towards the Next Generation of Data‐Driven Therapeutics Using Spatially Resolved Single‐Cell Technologies and Generative AI
Avital Rodov, Hosna Baniadam, Robert Zeiser, et al.
European Journal of Immunology (2025) Vol. 55, Iss. 2
Open Access
scFTAT: a novel cell annotation method integrating FFT and transformer
Binhua Tang, Y. Chen
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access
Unravelling Convergent Signaling Mechanisms Underlying the Aging-Disease Nexus Using Computational Language Analysis
Mireia Junyent, Haki Noori, Robin De Schepper, et al.
Current Issues in Molecular Biology (2025) Vol. 47, Iss. 3, pp. 189-189
Open Access
Parameter-Efficient Fine-Tuning Enhances Adaptation of Single Cell Large Language Model for Cell Type Identification
Fei He, Ruixin Fei, Mingyue Gao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4
Harnessing the deep learning power of foundation models in single-cell omics
Qin Ma, Yi Jiang, Hao Cheng, et al.
Nature Reviews Molecular Cell Biology (2024) Vol. 25, Iss. 8, pp. 593-594
Closed Access | Times Cited: 3
scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis
Tian-Yu Liu, Tianqi Chen, Wangjie Zheng, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
JOINTLY: interpretable joint clustering of single-cell transcriptomes
Andreas Møller, Jesper Grud Skat Madsen
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 5
CellFM: a large-scale foundation model pre-trained on transcriptomics of 100 million human cells
Yuansong Zeng, Jiancong Xie, Zhuoyi Wei, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Advancing plant single-cell genomics with foundation models
Tran N. Chau, Xuan Wang, John M. McDowell, et al.
Current Opinion in Plant Biology (2024) Vol. 82, pp. 102666-102666
Closed Access
RobustCell: A Model Attack-Defense Framework for Robust Transcriptomic Data Analysis
Tianyu Liu, Xiao Luo, Yijia Xiao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Modeling and predicting single-cell multi-gene perturbation responses with scLAMBDA
Gefei Wang, Tian-Yu Liu, Jia Zhao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
PathOmCLIP: Connecting tumor histology with spatial gene expression via locally enhanced contrastive learning of Pathology and Single-cell foundation model
Yong‐Ju Lee, Xinhao Liu, Minsheng Hao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Reply to: Deeper evaluation of a single-cell foundation model
Fan Yang, Fang Wang, Long-Kai Huang, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 12, pp. 1447-1450
Closed Access
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