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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:

scDeepSort: a pre-trained cell-type annotation method for single-cell transcriptomics using deep learning with a weighted graph neural network
Xin Shao, Haihong Yang, Xiang Zhuang, et al.
Nucleic Acids Research (2021) Vol. 49, Iss. 21, pp. e122-e122
Open Access | Times Cited: 100

Showing 1-25 of 100 citing articles:

Transfer learning enables predictions in network biology
Christina V. Theodoris, Ling Xiao, Anant Chopra, et al.
Nature (2023) Vol. 618, Iss. 7965, pp. 616-624
Open Access | Times Cited: 325
High-resolutionde novostructure prediction from primary sequence
Ruidong Wu, Fan Ding, Rui Wang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 258
Knowledge-graph-based cell-cell communication inference for spatially resolved transcriptomic data with SpaTalk
Xin Shao, Chengyu Li, Haihong Yang, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 82
A Review of Single-Cell RNA-Seq Annotation, Integration, and Cell–Cell Communication
Changde Cheng, Wenan Chen, Hongjian Jin, et al.
Cells (2023) Vol. 12, Iss. 15, pp. 1970-1970
Open Access | Times Cited: 45
De novo analysis of bulk RNA-seq data at spatially resolved single-cell resolution
Jie Liao, Jingyang Qian, Fang Yin, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 42
Application of Deep Learning on Single-Cell RNA Sequencing Data Analysis: A Review
Matthew Brendel, Chang Su, Zilong Bai, et al.
Genomics Proteomics & Bioinformatics (2022) Vol. 20, Iss. 5, pp. 814-835
Open Access | Times Cited: 40
Spatial-ID: a cell typing method for spatially resolved transcriptomics via transfer learning and spatial embedding
Rongbo Shen, Lin Liu, Zihan Wu, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 40
Deciphering ligand–receptor-mediated intercellular communication based on ensemble deep learning and the joint scoring strategy from single-cell transcriptomic data
Lihong Peng, Jingwei Tan, Wei Xiong, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107137-107137
Closed Access | Times Cited: 32
CIForm as a Transformer-based model for cell-type annotation of large-scale single-cell RNA-seq data
Jing Xu, Aidi Zhang, Fang Liu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Closed Access | Times Cited: 24
Single-cell omics: experimental workflow, data analyses and applications
Fengying Sun, Haoyan Li, Dongqing Sun, et al.
Science China Life Sciences (2024)
Closed Access | Times Cited: 8
Artificial Intelligence in battling infectious diseases: A transformative role
Chunhui Li, Guoguo Ye, Yinghan Jiang, et al.
Journal of Medical Virology (2024) Vol. 96, Iss. 1
Closed Access | Times Cited: 6
DANCE: a deep learning library and benchmark platform for single-cell analysis
Jiayuan Ding, Renming Liu, Hongzhi Wen, et al.
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 6
Application of bioinformatic tools in cell type classification for single-cell RNA-seq data
Shah Tania Akter Sujana, Md Shahjaman, Atul Chandra Singha
Computational Biology and Chemistry (2025) Vol. 115, pp. 108332-108332
Closed Access
From single- to multi-omics: future research trends in medicinal plants
Lifang Yang, Ye Yang, Luqi Huang, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 30
ncRNAInter: a novel strategy based on graph neural network to discover interactions between lncRNA and miRNA
Hanyu Zhang, Yunxia Wang, Ziqi Pan, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 27
Deep learning in spatial transcriptomics: Learning from the next next-generation sequencing
A. Ali Heydari, Suzanne Sindi
Biophysics Reviews (2023) Vol. 4, Iss. 1
Open Access | Times Cited: 18
Probing transient memory of cellular states using single-cell lineages
Abhyudai Singh, Michael Saint-Antoine
Frontiers in Microbiology (2023) Vol. 13
Open Access | Times Cited: 18
Direct neuronal reprogramming by temporal identity factors
Camille Boudreau‐Pinsonneault, Luke Ajay David, José Alex Lourenço Fernandes, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 19
Open Access | Times Cited: 18
Overview of single‐cell RNA sequencing analysis and its application to spermatogenesis research
Takahiro Suzuki
Reproductive Medicine and Biology (2023) Vol. 22, Iss. 1
Open Access | Times Cited: 15
Deep Learning in Single-cell Analysis
Dylan Molho, Jiayuan Ding, Wenzhuo Tang, et al.
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 3, pp. 1-62
Open Access | Times Cited: 5
Graph neural network approaches for single-cell data: a recent overview
Konstantinos Lazaros, Dimitrios E. Koumadorakis, Panagiotis Vlamos, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 17, pp. 9963-9987
Closed Access | Times Cited: 4
Interpretable deep learning in single-cell omics
Manoj M Wagle, Siqu Long, Carissa Chen, et al.
Bioinformatics (2024) Vol. 40, Iss. 6
Open Access | Times Cited: 3
Single-Cell RNA Sequencing in Parkinson’s Disease
Shi‐Xun Ma, Su Bin Lim
Biomedicines (2021) Vol. 9, Iss. 4, pp. 368-368
Open Access | Times Cited: 29
GE-Impute: graph embedding-based imputation for single-cell RNA-seq data
Xiaobin Wu, Yuan Zhou
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed Access | Times Cited: 19
Deep learning exploration of single-cell and spatially resolved cancer transcriptomics to unravel tumour heterogeneity
Raid Halawani, Michael Büchert, Yi‐Ping Phoebe Chen
Computers in Biology and Medicine (2023) Vol. 164, pp. 107274-107274
Closed Access | Times Cited: 9
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