Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

scGCL: an imputation method for scRNA-seq data based on graph contrastive learning
Zehao Xiong, Jiawei Luo, Wanwan Shi, et al.
Bioinformatics (2023) Vol. 39, Iss. 3
Open Access | Times Cited: 22

Showing 22 citing articles:

scLEGA: an attention-based deep clustering method with a tendency for low expression of genes on single-cell RNA-seq data
Zhenze Liu, Yingjian Liang, Guohua Wang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 5
CL-Impute: A contrastive learning-based imputation for dropout single-cell RNA-seq data
Yuchen Shi, Jian Wan, Xin Zhang, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107263-107263
Closed Access | Times Cited: 11
Graph contrastive learning as a versatile foundation for advanced scRNA-seq data analysis
Zhenhao Zhang, Yuxi Liu, Meichen Xiao, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access | Times Cited: 4
Inductive graph neural network framework for imputation of single-cell RNA sequencing data
V K Boneshwar, Deepesh Agarwal, Balasubramaniam Natarajan, et al.
Computers & Chemical Engineering (2025) Vol. 195, pp. 109031-109031
Closed Access
scCCTR: An Iterative Selection-Based Semi-Supervised Clustering Model for Single-Cell RNA-seq Data
Jie Chen, Qiucheng Sun, Chunyan Wang, et al.
Computational and Structural Biotechnology Journal (2025) Vol. 27, pp. 1090-1102
Open Access
Graph neural networks for single-cell omics data: a review of approaches and applications
Shiming Li, Heyang Hua, Shengquan Chen
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
scZAG: Integrating ZINB-Based Autoencoder with Adaptive Data Augmentation Graph Contrastive Learning for scRNA-seq Clustering
Tianjiao Zhang, Jixiang Ren, Liangyu Li, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 11, pp. 5976-5976
Open Access | Times Cited: 3
Delineating the effective use of self-supervised learning in single-cell genomics
Till Richter, Mojtaba Bahrami, Yufan Xia, et al.
Nature Machine Intelligence (2024)
Open Access | Times Cited: 3
Dual-GCN-based deep clustering with triplet contrast for ScRNA-seq data analysis
Linjie Wang, Wei Li, Weidong Xie, et al.
Computational Biology and Chemistry (2023) Vol. 106, pp. 107924-107924
Closed Access | Times Cited: 7
scCRT: a contrastive-based dimensionality reduction model for scRNA-seq trajectory inference
Yuchen Shi, Jian Wan, Xin Zhang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 2
Delineating the Effective Use of Self-Supervised Learning in Single-Cell Genomics
Till Richter, Mojtaba Bahrami, Yufan Xia, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
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
Graph Contrastive Learning as a Versatile Foundation for Advanced scRNA-seq Data Analysis
Zhenhao Zhang, Yuxi Liu, Meichen Xiao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access | Times Cited: 1
Single-cell RNA sequencing data imputation using bi-level feature propagation
Junseok Lee, Sukwon Yun, Yeongmin Kim, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 1
scRNMF: An imputation method for single-cell RNA-seq data by robust and non-negative matrix factorization
Yuqing Qian, Quan Zou, Mengyuan Zhao, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 8, pp. e1012339-e1012339
Open Access | Times Cited: 1
Clustering scRNA-seq data with the cross-view collaborative information fusion strategy
Zhengzheng Lou, Xiaojiao Wei, Yuanhao Hu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access | Times Cited: 1
scIDPMs: single-cell RNA-seq imputation using diffusion probabilistic models
Zhiqiang Zhang, Lin Liu
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
scDTL: single-cell RNA-seq imputation based on deep transfer learning using bulk cell information
Liuyang Zhao, Jun Tian, Yufeng Xie, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Single-cell RNA sequencing data analysis utilizing multi-type graph neural networks
Li Xu, Z M Li, Jiaxu Ren, et al.
Computers in Biology and Medicine (2024) Vol. 179, pp. 108921-108921
Closed Access
SAE-Impute: imputation for single-cell data via subspace regression and auto-encoders
Liang Bai, Boya Ji, Shulin Wang
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access
SWIM: Sliding-Window Model contrast for federated learning
Heng‐Ru Zhang, Rui Chen, S. P. Wen, et al.
Future Generation Computer Systems (2024) Vol. 164, pp. 107590-107590
Closed Access
scDTL: enhancing single-cell RNA-seq imputation through deep transfer learning with bulk cell information
Liuyang Zhao, Landu Jiang, Yufeng Xie, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access
Page 1

Scroll to top