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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:

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 26-50 of 64 citing articles:

Deep-learning methods for unveiling large-scale single-cell transcriptomes
Xilin Shen, Xiangchun Li
Cancer Biology and Medicine (2024) Vol. 20, Iss. 12, pp. 972-980
Open Access | Times Cited: 2
Single-cell genomics and regulatory networks for 388 human brains
Prashant S. Emani, Jason J. Liu, Declan Clarke, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Cross-modality representation and multi-sample integration of spatially resolved omics data
Zhen Li, Xuejian Cui, Xiaoyang Chen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease
Ziheng Duan, Yi Dai, Ahyeon Hwang, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 9, pp. e1011444-e1011444
Open Access | Times Cited: 5
scCorrector: a robust method for integrating multi-study single-cell data
Zhen-Hao Guo, Yanbin Wang, Siguo Wang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 1
Accurate cell type annotation for single‐cell chromatin accessibility data via contrastive learning and reference guidance
Siyu Li, Songming Tang, Yunchang Wang, et al.
Quantitative Biology (2024) Vol. 12, Iss. 1, pp. 85-99
Open Access | Times Cited: 1
scDM: A deep generative method for cell surface protein prediction with diffusion model
Hanlei Yu, Yuanjie Zheng, Xinbo Yang
Journal of Molecular Biology (2024) Vol. 436, Iss. 12, pp. 168610-168610
Closed Access | Times Cited: 1
An Architecture for Crowd Density Estimation in Heterogenous Opportunistic Environment
Lavanya Addepalli
(2024)
Open Access | Times Cited: 1
A Cell Cycle‐Aware Network for Data Integration and Label Transferring of Single‐Cell RNA‐Seq and ATAC‐Seq
Jiajia Liu, Jian Ma, Jianguo Wen, et al.
Advanced Science (2024) Vol. 11, Iss. 31
Open Access | Times Cited: 1
Dynamics of alternative polyadenylation in single root cells of Arabidopsis thaliana
Xingyu Bi, Sheng Zu Zhu, Fei Liu, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 1
Distribution of calbindin-positive neurons across areas and layers of the marmoset cerebral cortex
Nafiseh Atapour, Marcello G. P. Rosa, Shi Bai, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 9, pp. e1012428-e1012428
Open Access | Times Cited: 1
Building a single cell transcriptome-based coordinate system for cell ID with SURE
Feng Zeng, Jiahuai Han
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Dynamics of Liver Cancer Cellular Taxa Revealed Through Single-cell RNA Sequencing: advances and challenges
Wenxin Li, Huisi He, Hongyang Wang, et al.
Cancer Letters (2024), pp. 217394-217394
Closed Access | Times Cited: 1
scSemiAAE: a semi-supervised clustering model for single-cell RNA-seq data
Zile Wang, Haiyun Wang, Jianping Zhao, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Single-cell profiling of T cells uncovers a tissue-resident memory-like T-cell subset associated with bidirectional prognosis for B-cell acute lymphoblastic leukemia
Wenpu Lai, Xiaofang Wang, Lian Liu, et al.
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 6
spatiAlign: An Unsupervised Contrastive Learning Model for Data Integration of Spatially Resolved Transcriptomics
Chao Zhang, Lin Liu, Ying Zhang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
scEpiTools: a database to comprehensively interrogate analytic tools for single-cell epigenomic data
Zijing Gao, Xiaoyang Chen, Zhen Li, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
A Cell Cycle-aware Network for Data Integration and Label Transferring of Single-cell RNA-seq and ATAC-seq
Jiajia Liu, Jian Ma, Jianguo Wen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
A Comprehensive Benchmarking Study on Computational Tools for Cross-omics Label Transfer from Single-cell RNA to ATAC Data
Yuge Wang, Hongyu Zhao
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
scAuto as a comprehensive framework for single-cell chromatin accessibility data analysis
Meiqin Gong, Yun Yu, Zixuan Wang, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108230-108230
Closed Access
Discrete latent embeddings illuminate cellular diversity in single-cell epigenomics
Zhi Wei
Nature Computational Science (2024) Vol. 4, Iss. 5, pp. 316-317
Closed Access
INSTINCT: Multi-sample integration of spatial chromatin accessibility sequencing data via stochastic domain translation
Yuyao Liu, Zhen Li, Xiaoyang Chen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
MIST: an interpretable and flexible deep learning framework for single-T cell transcriptome and receptor analysis
Wenpu Lai, Yangqiu Li, Oscar Junhong Luo
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access
scCobra: Contrastive cell embedding learning with domain-adaptation for single-cell data integration and harmonization
Jun Ding, Bowen Zhao, Dong‐Qing Wei, et al.
Research Square (Research Square) (2024)
Open Access
Harnessing the power of artificial intelligence to combat infectious diseases: Progress, challenges, and future outlook
Hang-Yu Zhou, Yaling Li, Jiaying Li, et al.
The Innovation Medicine (2024), pp. 100091-100091
Closed Access

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