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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 embedding and Gaussian mixture variational autoencoder network for end-to-end analysis of single-cell RNA sequencing data
Junlin Xu, Jielin Xu, Yajie Meng, et al.
Cell Reports Methods (2023) Vol. 3, Iss. 1, pp. 100382-100382
Open Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

MPCLCDA: predicting circRNA–disease associations by using automatically selected meta-path and contrastive learning
Wei Liu, Ting Tang, Xu Lu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Closed Access | Times Cited: 35
Drug repositioning based on weighted local information augmented graph neural network
Yajie Meng, Yi Wang, Junlin Xu, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 33
STGNNks: Identifying cell types in spatial transcriptomics data based on graph neural network, denoising auto-encoder, and k-sums clustering
Lihong Peng, Xianzhi He, Xinhuai Peng, et al.
Computers in Biology and Medicine (2023) Vol. 166, pp. 107440-107440
Closed Access | Times Cited: 26
CellDialog: A Computational Framework for Ligand-Receptor-Mediated Cell-Cell Communication Analysis
Lihong Peng, Wei Xiong, Chendi Han, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 1, pp. 580-591
Closed Access | Times Cited: 25
Identifying potential ligand–receptor interactions based on gradient boosted neural network and interpretable boosting machine for intercellular communication analysis
Lihong Peng, Pengfei Gao, Wei Xiong, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108110-108110
Closed Access | Times Cited: 12
A BERT-based model for the prediction of lncRNA subcellular localization in Homo sapiens
Zhao‐Yue Zhang, Zheng Zhang, Xiucai Ye, et al.
International Journal of Biological Macromolecules (2024) Vol. 265, pp. 130659-130659
Open Access | Times Cited: 11
MIBPred: Ensemble Learning-Based Metal Ion-Binding Protein Classifier
Hongqi Zhang, Shanghua Liu, Rui Li, et al.
ACS Omega (2024)
Open Access | Times Cited: 8
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: 20
GCFMCL: predicting miRNA-drug sensitivity using graph collaborative filtering and multi-view contrastive learning
Jinhang Wei, Linlin Zhuo, Zhecheng Zhou, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Open Access | Times Cited: 20
MHAM-NPI: Predicting ncRNA-protein interactions based on multi-head attention mechanism
Zhecheng Zhou, Zhenya Du, Jinhang Wei, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107143-107143
Closed Access | Times Cited: 18
An interpretable single-cell RNA sequencing data clustering method based on latent Dirichlet allocation
Qi Yang, Zhaochun Xu, Wenyang Zhou, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Open Access | Times Cited: 16
GEnDDn: An lncRNA–Disease Association Identification Framework Based on Dual-Net Neural Architecture and Deep Neural Network
Lihong Peng, Mengnan Ren, Liangliang Huang, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 2, pp. 418-438
Closed Access | Times Cited: 7
MGNDTI: A Drug-Target Interaction Prediction Framework Based on Multimodal Representation Learning and the Gating Mechanism
Lihong Peng, Xin Liu, Min Chen, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 16, pp. 6684-6698
Closed Access | Times Cited: 6
Multi-view Adaptive Fusion Network for Spatially Resolved Transcriptomics Data Clustering
Yanran Zhu, Xiao He, Chang Tang, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 12, pp. 8889-8900
Closed Access | Times Cited: 6
Review of Predicting Synergistic Drug Combinations
Yichen Pan, Haotian Ren, Liang Lan, et al.
Life (2023) Vol. 13, Iss. 9, pp. 1878-1878
Open Access | Times Cited: 14
CellPLM: Pre-training of Cell Language Model Beyond Single Cells
Hongzhi Wen, Wenzhuo Tang, Xinnan Dai, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 13
Artificial Intelligence Analysis and Reverse Engineering of Molecular Subtypes of Diffuse Large B-Cell Lymphoma Using Gene Expression Data
Joaquim Carreras, Yara Yukie Kikuti, Masashi Miyaoka, et al.
BioMedInformatics (2024) Vol. 4, Iss. 1, pp. 295-320
Open Access | Times Cited: 5
Prediction of miRNA-disease associations in microbes based on graph convolutional networks and autoencoders
Qingquan Liao, Yuxiang Ye, Zihang Li, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 12
SSNMDI: a novel joint learning model of semi-supervised non-negative matrix factorization and data imputation for clustering of single-cell RNA-seq data
Yushan Qiu, Yan Chang, Pu Zhao, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Closed Access | Times Cited: 12
Moss-m7G: A Motif-Based Interpretable Deep Learning Method for RNA N7-Methlguanosine Site Prediction
Yanxi Zhao, Junru Jin, Wenjia Gao, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 15, pp. 6230-6240
Closed Access | Times Cited: 4
Exploring RNA-Seq Data Analysis Through Visualization Techniques and Tools: A Systematic Review of Opportunities and Limitations for Clinical Applications
Farhana Manzoor, Cyruss A. Tsurgeon, Vibhuti Gupta
Bioengineering (2025) Vol. 12, Iss. 1, pp. 56-56
Open Access
Unveiling patterns in spatial transcriptomics data: a novel approach utilizing graph attention autoencoder and multiscale deep subspace clustering network
Liqian Zhou, Xinhuai Peng, Min Chen, et al.
GigaScience (2025) Vol. 14
Open Access
scMFG: a single-cell multi-omics integration method based on feature grouping
Li‐Tian Ma, Jianwen Liu, Wei Sun, et al.
BMC Genomics (2025) Vol. 26, Iss. 1
Open Access
SpaCcLink: exploring downstream signaling regulations with graph attention network for systematic inference of spatial cell–cell communication
Jianwen Liu, Li‐Tian Ma, Fen Ju, et al.
BMC Biology (2025) Vol. 23, Iss. 1
Open Access
Cancer Drug Sensitivity Prediction Based on Deep Transfer Learning
Weilin Meng, Xinyu Xu, Zhichao Xiao, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 6, pp. 2468-2468
Open Access
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