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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:

Deep learning shapes single-cell data analysis
Qin Ma, Dong Xu
Nature Reviews Molecular Cell Biology (2022) Vol. 23, Iss. 5, pp. 303-304
Open Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

Transformer for one stop interpretable cell type annotation
Jiawei Chen, Hao Xu, Wanyu Tao, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 106
Deep transfer learning of cancer drug responses by integrating bulk and single-cell RNA-seq data
Junyi Chen, Xiaoying Wang, Anjun Ma, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 94
Single-cell biological network inference using a heterogeneous graph transformer
Anjun Ma, Xiaoying Wang, Jingxian Li, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 89
Research Trends and Dynamics in Single-cell RNA Sequencing for Musculoskeletal Diseases: A Scientometric and Visualization Study
Siyang Cao, Yihao Wei, Yaohang Yue, et al.
International Journal of Medical Sciences (2025) Vol. 22, Iss. 3, pp. 528-550
Open Access | Times Cited: 3
Application of Deep Learning on Single-Cell RNA Sequencing Data Analysis: A Review
Matthew Brendel, Chang Su, Zilong Bai, et al.
Genomics Proteomics & Bioinformatics (2022) Vol. 20, Iss. 5, pp. 814-835
Open Access | Times Cited: 44
Gene regulatory network reconstruction: harnessing the power of single-cell multi-omic data
Daniel Kim, Andy Tran, Hani Jieun Kim, et al.
npj Systems Biology and Applications (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 33
Label-free liquid biopsy through the identification of tumor cells by machine learning-powered tomographic phase imaging flow cytometry
Daniele Pirone, Annalaura Montella, Daniele Sirico, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 30
Multimodal Omics Approaches to Aging and Age-Related Diseases
Qianzhao Ji, Xiaoyu Jiang, Minxian Wang, et al.
Phenomics (2024) Vol. 4, Iss. 1, pp. 56-71
Closed Access | Times Cited: 10
Understanding glioblastoma at the single-cell level: Recent advances and future challenges
Yahaya A Yabo, Dieter Henrik Heiland
PLoS Biology (2024) Vol. 22, Iss. 5, pp. e3002640-e3002640
Open Access | Times Cited: 9
Applications of single‑cell omics and spatial transcriptomics technologies in gastric cancer (Review)
Liping Ren, Danni Huang, Hongjiang Liu, et al.
Oncology Letters (2024) Vol. 27, Iss. 4
Open 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
scIMC: a platform for benchmarking comparison and visualization analysis of scRNA-seq data imputation methods
Chichi Dai, Yi Jiang, Chenglin Yin, et al.
Nucleic Acids Research (2022) Vol. 50, Iss. 9, pp. 4877-4899
Open Access | Times Cited: 31
Dimensionality reduction and visualization of single-cell RNA-seq data with an improved deep variational autoencoder
Jing Jiang, Junlin Xu, Yuansheng Liu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Closed Access | Times Cited: 20
A bio-inspired convolution neural network architecture for automatic breast cancer detection and classification using RNA-Seq gene expression data
Tehnan I. A. Mohamed, Absalom E. Ezugwu, Jean Vincent Fonou-Dombeu, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open 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
The use of single-cell multi-omics in immuno-oncology
Anjun Ma, Gang Xin, Qin Ma
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 27
GenomicKB: a knowledge graph for the human genome
Fan Feng, Feitong Tang, Yijia Gao, et al.
Nucleic Acids Research (2022) Vol. 51, Iss. D1, pp. D950-D956
Open Access | Times Cited: 24
Reusability report: Learning the transcriptional grammar in single-cell RNA-sequencing data using transformers
Sameer Khan, Alberto Maillo, Vincenzo Lagani, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 12, pp. 1437-1446
Open Access | Times Cited: 15
Landscape of Exhausted T Cells in Tuberculosis Revealed by Single-Cell Sequencing
Jiahui Pan, Xinyue Zhang, Jianting Xu, et al.
Microbiology Spectrum (2023) Vol. 11, Iss. 2
Open Access | Times Cited: 13
Single-cell omics analysis with genome-scale metabolic modeling
Yu Chen, Johan Gustafsson, Jingyu Yang, et al.
Current Opinion in Biotechnology (2024) Vol. 86, pp. 103078-103078
Open Access | Times Cited: 5
Optimal transport for single-cell and spatial omics
Charlotte Bunne, Geoffrey Schiebinger, Andreas Krause, et al.
Nature Reviews Methods Primers (2024) Vol. 4, Iss. 1
Closed Access | Times Cited: 5
Advances and applications in single-cell and spatial genomics
Jingjing Wang, Fang Ye, Haoxi Chai, et al.
Science China Life Sciences (2024)
Closed Access | Times Cited: 5
Data normalization for addressing the challenges in the analysis of single-cell transcriptomic datasets
Raquel Cuevas‐Díaz Durán, Haichao Wei, Jiaqian Wu
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 4
Interpretable deep learning in single-cell omics
Manoj M Wagle, Siqu Long, Carissa Chen, et al.
Bioinformatics (2024) Vol. 40, Iss. 6
Open Access | Times Cited: 4
Decoding depression: a comprehensive multi-cohort exploration of blood DNA methylation using machine learning and deep learning approaches
Aleksandr V. Sokolov, Helgi B. Schiöth
Translational Psychiatry (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
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