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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:

scJoint integrates atlas-scale single-cell RNA-seq and ATAC-seq data with transfer learning
Yingxin Lin, Tung-Yu Wu, Sheng Wan, et al.
Nature Biotechnology (2022) Vol. 40, Iss. 5, pp. 703-710
Open Access | Times Cited: 110

Showing 1-25 of 110 citing articles:

Probabilistic embedding, clustering, and alignment for integrating spatial transcriptomics data with PRECAST
Wei Liu, Xu Liao, Ziye Luo, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 71
The Evolution of Single-Cell RNA Sequencing Technology and Application: Progress and Perspectives
Shuo Wang, Si-Tong Sun, Xinyue Zhang, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 3, pp. 2943-2943
Open Access | Times Cited: 70
Deep learning applications in single-cell genomics and transcriptomics data analysis
Nafiseh Erfanian, A. Ali Heydari, Adib Miraki Feriz, et al.
Biomedicine & Pharmacotherapy (2023) Vol. 165, pp. 115077-115077
Open Access | Times Cited: 58
Inferring gene regulatory networks from single-cell multiome data using atlas-scale external data
Qiuyue Yuan, Zhana Duren
Nature Biotechnology (2024)
Open Access | Times Cited: 24
Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space
Lei Xiong, Tian Kang, Yuzhe Li, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 66
scDART: integrating unmatched scRNA-seq and scATAC-seq data and learning cross-modality relationship simultaneously
Ziqi Zhang, Chengkai Yang, Xiuwei Zhang
Genome biology (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 53
MIRA: joint regulatory modeling of multimodal expression and chromatin accessibility in single cells
Allen W. Lynch, Christina V. Theodoris, Henry W. Long, et al.
Nature Methods (2022) Vol. 19, Iss. 9, pp. 1097-1108
Open Access | Times Cited: 49
A unified computational framework for single-cell data integration with optimal transport
Kai Cao, Qiyu Gong, Yiguang Hong, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 47
Integration of spatial and single-cell data across modalities with weakly linked features
Shuxiao Chen, Bokai Zhu, Sijia Huang, et al.
Nature Biotechnology (2023) Vol. 42, Iss. 7, pp. 1096-1106
Open Access | Times Cited: 41
A global view of aging and Alzheimer’s pathogenesis-associated cell population dynamics and molecular signatures in human and mouse brains
Andras Sziraki, Ziyu Lu, Jasper Lee, et al.
Nature Genetics (2023) Vol. 55, Iss. 12, pp. 2104-2116
Open Access | Times Cited: 36
Multimodal deep learning approaches for single-cell multi-omics data integration
Tasbiraha Athaya, Rony Chowdhury Ripan, Xiaoman Li, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Open Access | Times Cited: 33
CIForm as a Transformer-based model for cell-type annotation of large-scale single-cell RNA-seq data
Jing Xu, Aidi Zhang, Fang Liu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Closed Access | Times Cited: 30
Cellcano: supervised cell type identification for single cell ATAC-seq data
Wenjing Ma, Jiaying Lu, Hao Wu
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 25
Decoding Aging Hallmarks at the Single-Cell Level
Shuai Ma, Chi Xu, Yusheng Cai, et al.
Annual Review of Biomedical Data Science (2023) Vol. 6, Iss. 1, pp. 129-152
Open Access | Times Cited: 25
Semi-supervised integration of single-cell transcriptomics data
Massimo Andreatta, Léonard Hérault, Paul Gueguen, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 13
scCross: a deep generative model for unifying single-cell multi-omics with seamless integration, cross-modal generation, and in silico exploration
Xiuhui Yang, Koren K. Mann, Hao Wu, et al.
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 12
Single-cell omics: experimental workflow, data analyses and applications
Fengying Sun, Haoyan Li, Dongqing Sun, et al.
Science China Life Sciences (2024)
Closed Access | Times Cited: 11
scmFormer Integrates Large‐Scale Single‐Cell Proteomics and Transcriptomics Data by Multi‐Task Transformer
Jing Xu, De‐Shuang Huang, Xiujun Zhang
Advanced Science (2024) Vol. 11, Iss. 19
Open Access | Times Cited: 10
Benchmarking multi-omics integration algorithms across single-cell RNA and ATAC data
Chuxi Xiao, Yixin Chen, Qiuchen Meng, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open 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
Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets
Jia Zhao, Gefei Wang, Jingsi Ming, et al.
Nature Computational Science (2022) Vol. 2, Iss. 5, pp. 317-330
Open Access | Times Cited: 31
Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine
Ryuji Hamamoto, Ken Takasawa, Hidenori Machino, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Open Access | Times Cited: 29
Recent progresses in plant single-cell transcriptomics
Dihuai Zheng, Jiwei Xu, Yaqian Lu, et al.
Crop Design (2023) Vol. 2, Iss. 2, pp. 100041-100041
Open Access | Times Cited: 22
Single-Cell Multiomics
Emily Flynn, Ana Almonte-Loya, Gabriela K. Fragiadakis
Annual Review of Biomedical Data Science (2023) Vol. 6, Iss. 1, pp. 313-337
Open Access | Times Cited: 20
Single-cell gene set enrichment analysis and transfer learning for functional annotation of scRNA-seq data
Melania Franchini, Simona Pellecchia, Gaetano Viscido, et al.
NAR Genomics and Bioinformatics (2023) Vol. 5, Iss. 1
Open Access | Times Cited: 18
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