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:

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

Showing 15 citing articles:

Panpipes: a pipeline for multiomic single-cell and spatial transcriptomic data analysis
Fabiola Curion, Charlotte Rich-Griffin, Devika Agarwal, et al.
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 7

Multimodal weakly supervised learning to identify disease-specific changes in single-cell atlases
Anastasia Litinetskaya, Maiia Shulman, Soroor Hediyeh-zadeh, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4

Panpipes: a pipeline for multiomic single-cell and spatial transcriptomic data analysis
Fabiola Curion, Charlotte Rich-Griffin, Devika Agarwal, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 7

Deep generative models in single-cell omics
Inés Rivero-García, Miguel Torres, Fátima Sánchez‐Cabo
Computers in Biology and Medicine (2024) Vol. 176, pp. 108561-108561
Closed Access | Times Cited: 2

Integrating single-cell RNA-seq datasets with substantial batch effects
Karin Hrovatin, Amir Ali Moinfar, Luke Zappia, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4

A Commentary on Multi-omics Data Integration in Systems Vaccinology
Casey P. Shannon, Amy HY Lee, Scott J. Tebbutt, et al.
Journal of Molecular Biology (2024) Vol. 436, Iss. 8, pp. 168522-168522
Closed 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

An in-depth comparison of linear and non-linear joint embedding methods for bulk and single-cell multi-omics
Stavros Makrodimitris, Bram Pronk, Tamim Abdelaal, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 3

An in-depth comparison of linear and non-linear joint embedding methods for bulk and single-cell multi-omics
Stavros Makrodimitris, Bram Pronk, Tamim Abdelaal, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2

ScMOGAE: A Graph Convolutional Autoencoder-Based Multi-omics Data Integration Framework for Single-Cell Clustering
Boxu Zhou, Hongyang Jiang, Yuezhu Wang, et al.
Lecture notes in computer science (2024), pp. 322-334
Closed Access

Harnessing the power of AI in precision medicine: NGS-based therapeutic insights for colorectal cancer cohort
Victor Murcia Pienkowski, Piotr Skoczylas, Agata Zaremba, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access

Deep generative models in utilitarian and metamorphic genomics—Intellectual benefits
Shaik Salma Begum, G. Suresh Babu, Naiwrita Borah, et al.
Elsevier eBooks (2024), pp. 279-300
Closed Access

Leveraging attention-enhanced variational autoencoders: Novel approach for investigating latent space of aptamer sequences
Abbas Salimi, Jee Hwan Jang, Jin Yong Lee
International Journal of Biological Macromolecules (2023) Vol. 255, pp. 127884-127884
Closed Access | Times Cited: 1

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