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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:

Self-supervised contrastive learning for integrative single cell RNA-seq data analysis
Wenkai Han, Yuqi Cheng, Jiayang Chen, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Open Access | Times Cited: 56

Showing 26-50 of 56 citing articles:

CLAIRE: contrastive learning-based batch correction framework for better balance between batch mixing and preservation of cellular heterogeneity
Xuhua Yan, Ruiqing Zheng, Fang‐Xiang Wu, et al.
Bioinformatics (2023) Vol. 39, Iss. 3
Open Access | Times Cited: 6
CAKE: a flexible self-supervised framework for enhancing cell visualization, clustering and rare cell identification
Jin Liu, Weixing Zeng, Shichao Kan, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 6
scGCC: Graph Contrastive Clustering With Neighborhood Augmentations for scRNA-Seq Data Analysis
Shengwen Tian, Jiancheng Ni, Yutian Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 12, pp. 6133-6143
Closed Access | Times Cited: 4
Improving cell type identification with Gaussian noise-augmented single-cell RNA-seq contrastive learning
Ibrahim Alsaggaf, Daniel Buchan, Cen Wan
Briefings in Functional Genomics (2024) Vol. 23, Iss. 4, pp. 441-451
Open Access | Times Cited: 1
scNovel: a scalable deep learning-based network for novel rare cell discovery in single-cell transcriptomics
Chuanyang Zheng, Yixuan Wang, Yuqi Cheng, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 1
scBOL: a universal cell type identification framework for single-cell and spatial transcriptomics data
Yuyao Zhai, Liang Chen, Minghua Deng
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 1
Robust evaluation of deep learning-based representation methods for survival and gene essentiality prediction on bulk RNA-seq data
Baptiste Gross, Antonin Dauvin, Vincent Cabeli, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
A Contrastive-Learning-Based Deep Neural Network for Cancer Subtyping by Integrating Multi-Omics Data
Hua Chai, Weizhen Deng, Junyu Wei, et al.
Interdisciplinary Sciences Computational Life Sciences (2024)
Closed Access | Times Cited: 1
nsDCC: dual-level contrastive clustering with nonuniform sampling for scRNA-seq data analysis
Linjie Wang, Wei Li, Fanghui Zhou, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access | Times Cited: 1
Robust self-supervised learning strategy to tackle the inherent sparsity in single-cell RNA-seq data
Se Jin Park, Hyunju Lee
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access | Times Cited: 1
GD‐Net: An Integrated Multimodal Information Model Based on Deep Learning for Cancer Outcome Prediction and Informative Feature Selection
Junqi Lin, Weizhen Deng, Junyu Wei, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 23
Closed Access | Times Cited: 1
Batch correction of single cell sequencing data via an autoencoder architecture
Reut Danino, Iftach Nachman, Roded Sharan
Bioinformatics Advances (2023) Vol. 4, Iss. 1
Open Access | Times Cited: 3
ENHANCING PATIENT STRATIFICATION AND INTERPRETABILITY THROUGH CLASS-CONTRASTIVE AND FEATURE ATTRIBUTION TECHNIQUES
Sharday Olowu, Neil D. Lawrence, Soumya Banerjee
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
NCLDR: Nearest-Neighbor Contrastive Learning with Dual Correlation Loss for Dimensionality Reduction
Linlin Feng, Changpeng Wang, Pei Liu, et al.
Neurocomputing (2024) Vol. 594, pp. 127848-127848
Closed Access
scDecorr - Feature decorrelation representation learning with domain adaptation enables self-supervised alignment of multiple single-cell experiments
Ritabrata Sanyal, Yang Xu, Hyojin Kim, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
CoDi: Contrastive distance cell type annotation for spatially resolved transcriptomics
Vladimir Kovačević, Marija Bezulj, Nikola Milićević, et al.
Research Square (Research Square) (2024)
Open Access
Contrastive Learning for Robust Cell Annotation and Representation from Single-Cell Transcriptomics
Leo Andrekson, Rocío Mercado
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Prediction of Protein-Coding Small ORFs Based on Supervised Contrastive Learning
Dongting Xie, Xinye Bian, Ziling Wang, et al.
IEEE Access (2024) Vol. 12, pp. 129212-129223
Open Access
scCoRR: A Data-Driven Self-correction Framework for Labeled scRNA-Seq Data
Yongxin He, Jin Liu, Min Li, et al.
Lecture notes in computer science (2024), pp. 47-58
Closed Access
Integrating large-scale single-cell RNA sequencing in central nervous system disease using self-supervised contrastive learning
Yi Fang, Junjie Chen, He Wang, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access
LCL: Contrastive Learning for Lineage Barcoded scRNA-seq Data
S.-N. Yang, Zhaoran Wang, Kevin Lin
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Benchmarking Self-Supervised Learning for Single-Cell Data
Philip Toma, Olga Ovcharenko, Imant Daunhawer, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
scDisInFact: disentangled learning for integration and prediction of multi-batch multi-condition single-cell RNA-sequencing data
Ziqi Zhang, Xinye Zhao, Peng Qiu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
scDisInFact: disentangled learning for integration and prediction of multi-batch multi-condition single-cell RNA-sequencing data
Ziqi Zhang, Xinye Zhao, Peng Qiu, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
A deep generative framework with embedded vector arithmetic and classifier for sample generation, label transfer, and clustering of single-cell data
Lifei Wang, Rui Lin Nie, Zhang Zhang, et al.
Cell Reports Methods (2023) Vol. 3, Iss. 8, pp. 100558-100558
Open Access | Times Cited: 1

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