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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:

Critical downstream analysis steps for single-cell RNA sequencing data
Zilong Zhang, Feifei Cui, Chen Lin, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

High-throughput single-сell sequencing in cancer research
Qingzhu Jia, Han Chu, Jin Zheng, et al.
Signal Transduction and Targeted Therapy (2022) Vol. 7, Iss. 1
Open Access | Times Cited: 103
Deep learning applications in single-cell genomics and transcriptomics data analysis
Nafiseh Erfanian, A. Ali Heydari, Adib Miraki Feriz, et al.
Biomedicine & Pharmacotherapy (2023) Vol. 165, pp. 115077-115077
Open Access | Times Cited: 62
Machine learning-based prediction model for distant metastasis of breast cancer
Hao Duan, Yu Zhang, Haoye Qiu, et al.
Computers in Biology and Medicine (2024) Vol. 169, pp. 107943-107943
Closed Access | Times Cited: 22
Advancements in single-cell RNA sequencing and spatial transcriptomics: transforming biomedical research
Getnet Molla Desta, Alemayehu Godana Birhanu
Acta Biochimica Polonica (2025) Vol. 72
Open Access | Times Cited: 6
Single-cell RNA analysis reveals the potential risk of organ-specific cell types vulnerable to SARS-CoV-2 infections
Zilong Zhang, Feifei Cui, Chen Cao, et al.
Computers in Biology and Medicine (2021) Vol. 140, pp. 105092-105092
Open Access | Times Cited: 96
Protein–DNA/RNA interactions: Machine intelligence tools and approaches in the era of artificial intelligence and big data
Feifei Cui, Zilong Zhang, Chen Cao, et al.
PROTEOMICS (2022) Vol. 22, Iss. 8
Closed Access | Times Cited: 30
Clustering ensemble in scRNA-seq data analysis: Methods, applications and challenges
Xiner Nie, Dan Qin, Xinyi Zhou, et al.
Computers in Biology and Medicine (2023) Vol. 159, pp. 106939-106939
Closed Access | Times Cited: 21
Dimensionality reduction and visualization of single-cell RNA-seq data with an improved deep variational autoencoder
Jing Jiang, Junlin Xu, Yuansheng Liu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Closed Access | Times Cited: 21
A comprehensive analysis of single-cell RNA transcriptome reveals unique SPP1+ chondrocytes in human osteoarthritis
Yunkun Qu, Ying-Guang Wang, Shanxi Wang, et al.
Computers in Biology and Medicine (2023) Vol. 160, pp. 106926-106926
Open Access | Times Cited: 19
scGGAN: single-cell RNA-seq imputation by graph-based generative adversarial network
Zimo Huang, Jun Wang, Xudong Lü, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 17
FEOpti-ACVP: identification of novel anti-coronavirus peptide sequences based on feature engineering and optimization
Jici Jiang, Hongdi Pei, Jiayu Li, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 8
Integration tools for scRNA-seq data and spatial transcriptomics sequencing data
Chaorui Yan, Yanxu Zhu, Miao Chen, et al.
Briefings in Functional Genomics (2024) Vol. 23, Iss. 4, pp. 295-302
Closed Access | Times Cited: 7
A comparison of deep learning-based pre-processing and clustering approaches for single-cell RNA sequencing data
Jiacheng Wang, Quan Zou, Chen Lin
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 33
DeepMC-iNABP: Deep learning for multiclass identification and classification of nucleic acid-binding proteins
Feifei Cui, Shuang Li, Zilong Zhang, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 2020-2028
Open Access | Times Cited: 24
Application progress of single-cell sequencing technology in mesenchymal stem cells research
Hao Li, Yusong Wang, Gehua Zhu, et al.
Frontiers in Cell and Developmental Biology (2024) Vol. 11
Open Access | Times Cited: 6
A comprehensive survey of dimensionality reduction and clustering methods for single-cell and spatial transcriptomics data
Yidi Sun, Lingling Kong, Jiayi Huang, et al.
Briefings in Functional Genomics (2024) Vol. 23, Iss. 6, pp. 733-744
Closed Access | Times Cited: 5
A Machine Learning Method to Identify Umami Peptide Sequences by Using Multiplicative LSTM Embedded Features
Jici Jiang, Jiayu Li, Junxian Li, et al.
Foods (2023) Vol. 12, Iss. 7, pp. 1498-1498
Open Access | Times Cited: 13
scMultiGAN: cell-specific imputation for single-cell transcriptomes with multiple deep generative adversarial networks
Tao Wang, Hui Zhao, Yungang Xu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 6
Open Access | Times Cited: 13
Fast Parallel CPU-GPU Approximate Spectral Clustering for Transcriptomics Data
Stefan Branković, Lazar Smiljković, Predrag Obradović, et al.
International Journal of Parallel Programming (2025) Vol. 53, Iss. 1
Closed Access
scAnno: a deconvolution strategy-based automatic cell type annotation tool for single-cell RNA-sequencing data sets
Hongjia Liu, Huamei Li, Amit Sharma, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Closed Access | Times Cited: 9
Identification of drug-side effect association via correntropy-loss based matrix factorization with neural tangent kernel
Yijie Ding, Hongmei Zhou, Quan Zou, et al.
Methods (2023) Vol. 219, pp. 73-81
Closed Access | Times Cited: 9
scSID: A lightweight algorithm for identifying rare cell types by capturing differential expression from single-cell sequencing data
Shudong Wang, Hengxiao Li, Kuijie Zhang, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 589-600
Open Access | Times Cited: 3
Unraveling Pancreatic Ductal Adenocarcinoma Immune Prognostic Signature through a Naive B Cell Gene Set
Shichen Zhang, Na Ta, Shihao Zhang, et al.
Cancer Letters (2024) Vol. 594, pp. 216981-216981
Closed Access | Times Cited: 3
UDRN: Unified Dimensional Reduction Neural Network for feature selection and feature projection
Zelin Zang, Yongjie Xu, Linyan Lu, et al.
Neural Networks (2023) Vol. 161, pp. 626-637
Open Access | Times Cited: 8
Deep Learning Applications in Single-Cell Omics Data Analysis
Nafiseh Erfanian, A. Ali Heydari, Pablo Iáñez Picazo, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 15
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