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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:

Multigrate: single-cell multi-omic data integration
Anastasia Litinetskaya, Maiia Shulman, Fabiola Curion, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 46

Showing 26-50 of 46 citing articles:

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
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
Single-cell multi-omics topic embedding reveals cell-type-specific and COVID-19 severity-related immune signatures
Manqi Zhou, Hao Zhang, Zilong Bai, et al.
Cell Reports Methods (2023) Vol. 3, Iss. 8, pp. 100563-100563
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
Considerations for building and using integrated single-cell atlases
Karin Hrovatin, Lisa Sikkema, Vladimir A. Shitov, et al.
Nature Methods (2024)
Closed Access | Times Cited: 2
Biologically informed deep learning to infer gene program activity in single cells
Mohammad Lotfollahi, Sergei Rybakov, Karin Hrovatin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 10
MultiCPA: Multimodal Compositional Perturbation Autoencoder
Kemal İnecik, Andreas Uhlmann, Mohammad Lotfollahi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 10
Semi-supervised Single-Cell Cross-modality Translation Using Polarbear
Ran Zhang, Laetitia Meng-Papaxanthos, Jean‐Philippe Vert, et al.
Lecture notes in computer science (2022), pp. 20-35
Closed Access | Times Cited: 10
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
Multimodal Single-Cell Translation and Alignment with Semi-Supervised Learning
Ran Zhang, Laetitia Meng-Papaxanthos, Jean‐Philippe Vert, et al.
Journal of Computational Biology (2022) Vol. 29, Iss. 11, pp. 1198-1212
Open Access | Times Cited: 6
Single-cell multi-omic topic embedding reveals cell-type-specific and COVID-19 severity-related immune signatures
Manqi Zhou, Hao Zhang, Zilong Bai, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Probabilistic tensor decomposition extracts better latent embeddings from single-cell multiomic data
Ruo Han Wang, Jianping Wang, Shuai Cheng Li
Nucleic Acids Research (2023) Vol. 51, Iss. 15, pp. e81-e81
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.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 4
NeuroMDAVIS: Visualization of single-cell multi-omics data under deep learning framework
Chayan Maitra, Dibyendu Bikash Seal, Vivek Das, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Multi-omic single cell sequencing: Overview and opportunities for kidney disease therapeutic development
Steven Pregizer, Thom Vreven, Mohit Mathur, et al.
Frontiers in Molecular Biosciences (2023) Vol. 10
Open Access | Times Cited: 1
multiDGD: A versatile deep generative model for multi-omics data
Viktoria Schuster, Emma Dann, Anders Krogh, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
UMINT: Unsupervised Neural Network For Single Cell Multi-Omics Integration
Chayan Maitra, Dibyendu Bikash Seal, Vivek Das, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 2
DiSCERN - Deep Single Cell Expression ReconstructioN for improved cell clustering and cell subtype and state detection
Fabian Hausmann, Can Ergen-Behr, Robin Khatri, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1
MIDAS: a deep generative model for mosaic integration and knowledge transfer of single-cell multimodal data
眞智子 平賀, Yaowen Chen, Shuofeng Hu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1
LIBRA: an adaptative integrative tool for paired single‐cell multi‐omics data
Xabier Martinez‐de‐Morentin, Sumeer Ahmad Khan, Robert Lehmann, et al.
Quantitative Biology (2023) Vol. 11, Iss. 3, pp. 246-259
Open Access
Integrating multiple single-cell multi-omics samples with Smmit
Changxin Wan, Zhicheng Ji
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
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