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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:

Predicting gene regulatory links from single-cell RNA-seq data using graph neural networks
Guo Mao, Zhengbin Pang, Ke Zuo, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 6
Open Access | Times Cited: 19

Showing 19 citing articles:

scMGATGRN: a multiview graph attention network–based method for inferring gene regulatory networks from single-cell transcriptomic data
Lin Yuan, Ling Zhao, Yufeng Jiang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access | Times Cited: 7
AnomalGRN: deciphering single-cell gene regulation network with graph anomaly detection
Zhecheng Zhou, Jinhang Wei, Mingzhe Liu, et al.
BMC Biology (2025) Vol. 23, Iss. 1
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
HGATLink: single-cell gene regulatory network inference via the fusion of heterogeneous graph attention networks and transformer
Yao Sun, Jing Gao
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access
GCLink: a graph contrastive link prediction framework for gene regulatory network inference
Weiming Yu, Zerun Lin, Michael S. Lan, et al.
Bioinformatics (2025) Vol. 41, Iss. 3
Open Access
Inferring gene regulatory networks from time-series scRNA-seq data via GRANGER causal recurrent autoencoders
Liang Chen, Madison Dautle, Shuang Gao, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
Strategies to include prior knowledge in omics analysis with deep neural networks
Kisan Thapa, Meric Kinali, Shichao Pei, et al.
Patterns (2025) Vol. 6, Iss. 3, pp. 101203-101203
Open Access
Inferring gene regulatory networks via directed graph contrastive representation learning
Kaifu Long, Luxuan Qu, Weiyiqi Wang, et al.
Knowledge-Based Systems (2025), pp. 113324-113324
Closed Access
Living in a noisy world—origins of gene expression noise and its impact on cellular decision‐making
Sampriti Pal, Riddhiman Dhar
FEBS Letters (2024) Vol. 598, Iss. 14, pp. 1673-1691
Open Access | Times Cited: 3
DeepGRNCS: deep learning-based framework for jointly inferring gene regulatory networks across cell subpopulations
Yahui Lei, Xiaotai Huang, Xingli Guo, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 2
Single-cell multi-omics analysis identifies context-specific gene regulatory gates and mechanisms
Seyed Amir Malekpour, Laleh Haghverdi, Mehdi Sadeghi
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 1
DeepIMAGER: Deeply Analyzing Gene Regulatory Networks from scRNA-seq Data
Xiguo Zhou, Jingyi Pan, Liang Chen, et al.
Biomolecules (2024) Vol. 14, Iss. 7, pp. 766-766
Open Access | Times Cited: 1
Deep Learning in Gene Regulatory Network Inference: A Survey
Jiayi Dong, Jiahao Li, Fei Wang
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2024) Vol. 21, Iss. 6, pp. 2089-2101
Closed Access | Times Cited: 1
Inferring gene regulatory networks with graph convolutional network based on causal feature reconstruction
Ruirui Ji, Yi Geng, Xin Quan
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Refining computational inference of gene regulatory networks: integrating knockout data within a multi-task framework
Wentao Cui, Qingqing Long, Meng Xiao, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access
TRENDY: Gene Regulatory Network Inference Enhanced by Transformer
Xueying Tian, Yash D. Patel, Yue Wang
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Bioinformatics in Primary Immunodeficiencies: Towards a “Computational Immunology” Era
Jairo Rivera, Alexios‐Fotios A. Mentis
Rare diseases of the immune system (2024), pp. 23-65
Closed Access
Gene Regulatory Network Inference with Joint Representation from Graph Neural Network and Single-Cell Foundation Model
Sindhura Kommu, Yizhi Wang, Yue Wang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Constructing the dynamic transcriptional regulatory networks to identify phenotype-specific transcription regulators
Yang Guo, Zhi‐Qiang Xiao
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access
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