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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:

Graph attention network for link prediction of gene regulations from single-cell RNA-sequencing data
Guangyi Chen, Zhi‐Ping Liu
Bioinformatics (2022) Vol. 38, Iss. 19, pp. 4522-4529
Open Access | Times Cited: 48

Showing 26-50 of 48 citing articles:

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
scPRINT: pre-training on 50 million cells allows robust gene network predictions
Jérémie Kalfon, Jules Samaran, Gabriel Peyré, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Biomarker discovery from high-throughput data by connected network-constrained support vector machine
Lingyu Li, Zhi‐Ping Liu
Expert Systems with Applications (2023) Vol. 226, pp. 120179-120179
Open Access | Times Cited: 6
Knowledge graph embedding for profiling the interaction between transcription factors and their target genes
Yang-Han Wu, Yu‐An Huang, Jianqiang Li, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 6, pp. e1011207-e1011207
Open Access | Times Cited: 6
PPRTGI: A Personalized PageRank Graph Neural Network for TF-Target Gene Interaction Detection
Ke Ma, Jiawei Li, Mengyuan Zhao, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2024) Vol. 21, Iss. 3, pp. 480-491
Closed Access | Times Cited: 1
Prediction of systemic lupus erythematosus-related genes based on graph attention network and deep neural network
Fang Fang, Yizhou Sun
Computers in Biology and Medicine (2024) Vol. 175, pp. 108371-108371
Closed Access | Times Cited: 1
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
CVGAE: A Self-Supervised Generative Method for Gene Regulatory Network Inference Using Single-Cell RNA Sequencing Data
Wei Liu, Zhijie Teng, Zejun Li, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 4, pp. 990-1004
Closed 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
Graph attention network with convolutional layer for predicting gene regulations from single-cell ribonucleic acid sequence data
Junjiang Liu, Shusen Zhou, Jing Ma, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108938-108938
Closed 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
scDCA: deciphering the dominant cell communication assembly of downstream functional events from single-cell RNA-seq data
Boya Ji, Xiaoqi Wang, Xiang Wang, et al.
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 1
Deconer: A comprehensive and systematic evaluation toolkit for reference-based cell type deconvolution algorithms using gene expression data
Wei Zhang, Xianglin Zhang, Qiao Liu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
scDirect: key transcription factor identification for directing cell state transitions based on single-cell multi-omics data
Chen Li, Sijie Chen, Yixin Chen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Multi-view graph learning for deciphering the dominant cell communication assembly of downstream functional events from single-cell RNA-seq data
Boya Ji, Xiaoqi Wang, Xiang Wang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Multi-view graph learning for deciphering the dominant cell communication assembly of downstream functional events from single-cell RNA-seq data
Boya Ji, Xiaoqi Wang, Xiang Wang, et al.
Research Square (Research Square) (2024)
Open Access
Advances in computational and experimental approaches for deciphering transcriptional regulatory networks
Camille Moeckel, Ioannis Mouratidis, Nikol Chantzi, et al.
BioEssays (2024) Vol. 46, Iss. 7
Open Access
GPNMB+ microglia moderate the amyloid beta-tau interaction in early Alzheimer’s disease
Akihiro Kitani, Yusuke Matsui
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
ScADSATGRN: An Adaptive Diffusion Structure-Aware Transformer Based Method Inferring Gene Regulatory Networks from Single-Cell Transcriptomic Data
Lin Yuan, Ling Zhao, Zhujun Li, et al.
Lecture notes in computer science (2024), pp. 347-356
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
An unsupervised deep learning framework for gene regulatory network inference from single-cell expression data
Guo Mao, Jie Liu
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023)
Closed Access | Times Cited: 1
GeneSpider: Inferring Gene Regulation Relationships Through Graph Neural Network from Single-Cell RNA Sequence Data
Zhihua Du, Zhong Xing, Min Fang, et al.
Lecture notes in computer science (2023), pp. 532-543
Closed Access
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