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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:

Integration of single-cell multi-omics for gene regulatory network inference
Xinlin Hu, Yaohua Hu, Fanjie Wu, et al.
Computational and Structural Biotechnology Journal (2020) Vol. 18, pp. 1925-1938
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Inferring transcription factor regulatory networks from single-cell ATAC-seq data based on graph neural networks
Hao Li, Yu Sun, Hao Hong, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 4, pp. 389-400
Closed Access | Times Cited: 46
Gene regulatory network inference in single-cell biology
Kyle Akers, T. M. Murali
Current Opinion in Systems Biology (2021) Vol. 26, pp. 87-97
Closed Access | Times Cited: 35
PMF-GRN: a variational inference approach to single-cell gene regulatory network inference using probabilistic matrix factorization
Claudia Skok Gibbs, Omar Mahmood, Richard Bonneau, et al.
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 5
Deep learning-based cell-specific gene regulatory networks inferred from single-cell multiome data
Junlin Xu, Changcheng Lu, Shuting Jin, et al.
Nucleic Acids Research (2025) Vol. 53, Iss. 5
Open Access
A large-scale benchmark for network inference from single-cell perturbation data
Mathieu Chevalley, Yusuf Roohani, Arash Mehrjou, et al.
Communications Biology (2025) Vol. 8, Iss. 1
Open Access
CORN 2.0 - Condition Orientated Regulatory Networks 2.0
Ricky Wai Tak Leung, Xinying Zhang, Zhuobin Chen, et al.
Computational and Structural Biotechnology Journal (2025)
Open Access
A novel Boolean network inference strategy to model early hematopoiesis aging
Léonard Hérault, Mathilde Poplineau, Estelle Duprez, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 21, pp. 21-33
Open Access | Times Cited: 18
Exploring long non-coding RNA networks from single cell omics data
Xue Zhao, Yangming Lan, Dijun Chen
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 4381-4389
Open Access | Times Cited: 17
CeTF: an R/Bioconductor package for transcription factor co-expression networks using regulatory impact factors (RIF) and partial correlation and information (PCIT) analysis
Carlos Alberto Oliveira de Biagi, Ricardo Perecin Nociti, Danielle Barbosa Brotto, et al.
BMC Genomics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 21
Shared regulation and functional relevance of local gene co-expression revealed by single cell analysis
Diogo M. Ribeiro, Chaymae Ziyani, Olivier Delaneau
Communications Biology (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 16
Inferring better gene regulation networks from single-cell data
Michael P. H. Stumpf
Current Opinion in Systems Biology (2021) Vol. 27, pp. 100342-100342
Closed Access | Times Cited: 20
Uncovering the mesendoderm gene regulatory network through multi-omic data integration
Camden Jansen, Kitt Paraiso, Jeff Jiajing Zhou, et al.
Cell Reports (2022) Vol. 38, Iss. 7, pp. 110364-110364
Open Access | Times Cited: 14
Computational approaches and challenges for identification and annotation of non-coding RNAs using RNA-Seq
Kiran Dindhoria, Isha Monga, Amarinder Singh Thind
Functional & Integrative Genomics (2022) Vol. 22, Iss. 6, pp. 1105-1112
Closed Access | Times Cited: 13
Temporal Dynamic Methods for Bulk RNA-Seq Time Series Data
Sunghee Oh, Robert W. Li
Genes (2021) Vol. 12, Iss. 3, pp. 352-352
Open Access | Times Cited: 16
Metabolomics bridging proteomics along metabolites/oncometabolites and protein modifications: Paving the way toward integrative multiomics
Sinem Nalbantoğlu, Abdullah Karadağ
Journal of Pharmaceutical and Biomedical Analysis (2021) Vol. 199, pp. 114031-114031
Closed Access | Times Cited: 15
Enhancing Our Understanding of Plant Cell-to-Cell Interactions Using Single-Cell Omics
Sandra Thibivilliers, Marc Libault
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 13
Cell fate conversion prediction by group sparse optimization method utilizing single-cell and bulk OMICs data
Jing Qin, Yaohua Hu, Jen‐Chih Yao, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Closed Access | Times Cited: 13
Stability selection for LASSO with weights based on AUC
Yonghan Kwon, Kyunghwa Han, Young Joo Suh, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
Resolving trained immunity with systems biology
Valerie A. C. M. Koeken, Reinout van Crevel, Mihai G. Netea, et al.
European Journal of Immunology (2021) Vol. 51, Iss. 4, pp. 773-784
Open Access | Times Cited: 12
Discriminating the single-cell gene regulatory networks of human pancreatic islets: A novel deep learning application
Turki Turki, Y‐h. Taguchi
Computers in Biology and Medicine (2021) Vol. 132, pp. 104257-104257
Open Access | Times Cited: 11
scTIGER: A Deep-Learning Method for Inferring Gene Regulatory Networks from Case versus Control scRNA-seq Datasets
Madison Dautle, Shaoqiang Zhang, Yong Chen
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 17, pp. 13339-13339
Open Access | Times Cited: 4
Aggregated gene co-expression networks predict transcription factor regulatory landscapes in grapevine
Luis Orduña, Antonio Santiago, David Navarro‐Payá, et al.
Journal of Experimental Botany (2023) Vol. 74, Iss. 21, pp. 6522-6540
Open Access | Times Cited: 4
SAILoR: Structure-Aware Inference of Logic Rules
Žiga Pušnik, Miha Mraz, Nikolaj Zimic, et al.
PLoS ONE (2024) Vol. 19, Iss. 6, pp. e0304102-e0304102
Open Access | Times Cited: 1
STAN, a computational framework for inferring spatially informed transcription factor activity
Linan Zhang, April Sagan, Bin Qin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
scMaui: a widely applicable deep learning framework for single-cell multiomics integration in the presence of batch effects and missing data
Yunhee Jeong, Jonathan Ronen, Wolfgang Kopp, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 1
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