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:

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: 64

Showing 1-25 of 64 citing articles:

Single-cell genomics and regulatory networks for 388 human brains
Prashant S. Emani, Jason Liu, Declan Clarke, et al.
Science (2024) Vol. 384, Iss. 6698
Open Access | Times Cited: 37

Mosaic integration and knowledge transfer of single-cell multimodal data with MIDAS
眞智子 平賀, Shuofeng Hu, Yaowen Chen, et al.
Nature Biotechnology (2024) Vol. 42, Iss. 10, pp. 1594-1605
Open Access | Times Cited: 22

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: 1

CD127 imprints functional heterogeneity to diversify monocyte responses in inflammatory diseases
Bin Zhang, Yuan Zhang, Lei Xiong, et al.
The Journal of Experimental Medicine (2022) Vol. 219, Iss. 2
Open Access | Times Cited: 45

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: 45

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: 43

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

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: 8

Discrete latent embedding of single-cell chromatin accessibility sequencing data for uncovering cell heterogeneity
Xuejian Cui, Xiaoyang Chen, Zhen Li, et al.
Nature Computational Science (2024) Vol. 4, Iss. 5, pp. 346-359
Closed Access | Times Cited: 6

scCobra allows contrastive cell embedding learning with domain adaptation for single cell data integration and harmonization
Bowen Zhao, Kailu Song, Dong‐Qing Wei, et al.
Communications Biology (2025) Vol. 8, Iss. 1
Open Access

scCASE: accurate and interpretable enhancement for single-cell chromatin accessibility sequencing data
Songming Tang, Xuejian Cui, Rongxiang Wang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4

SCITUNA: single-cell data integration tool using network alignment
Aissa Houdjedj, Yacine Marouf, Mekan Myradov, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access

Continually adapting pre-trained language model to universal annotation of single-cell RNA-seq data
Hui Wan, Musu Yuan, Yiwei Fu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 3

The performance of deep generative models for learning joint embeddings of single-cell multi-omics data
Eva Brombacher, Maren Hackenberg, Clemens Kreutz, et al.
Frontiers in Molecular Biosciences (2022) Vol. 9
Open Access | Times Cited: 15

Exploring Promising Biomarkers for Alzheimer’s Disease through the Computational Analysis of Peripheral Blood Single-Cell RNA Sequencing Data
Marios G. Krokidis, Aristidis G. Vrahatis, Konstantinos Lazaros, et al.
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5553-5553
Open Access | Times Cited: 7

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: 7

Distribution of calbindin-positive neurons across areas and layers of the marmoset cerebral cortex
Nafiseh Atapour, Marcello G. P. Rosa, Shi Bai, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2

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