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:

scGMAAE: Gaussian mixture adversarial autoencoders for diversification analysis of scRNA-seq data
Haiyun Wang, Jianping Zhao, Chun-Hou Zheng, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 8

Showing 8 citing articles:

scSAMAC: saliency-adjusted masking induced attention contrastive learning for single-cell clustering
Bo Li, Yongkang Zhao, Jing Hu, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access

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

A deep learning adversarial autoencoder with dynamic batching displays high performance in denoising and ordering scRNA-seq data
Kyung Dae Ko, Vittorio Sartorelli
iScience (2024) Vol. 27, Iss. 3, pp. 109027-109027
Open Access | Times Cited: 2

scHybridBERT: integrating gene regulation and cell graph for spatiotemporal dynamics in single-cell clustering
Wei Zhang, Wu Chenjun, Xing Feiyang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 2

scAce: an adaptive embedding and clustering method for single-cell gene expression data
Xinwei He, Kun Qian, Ziqian Wang, et al.
Bioinformatics (2023) Vol. 39, Iss. 9
Open Access | Times Cited: 5

Graph attention autoencoder model with dual decoder for clustering single-cell RNA sequencing data
Shudong Wang, Y. Zhang, Yuanyuan Zhang, et al.
Applied Intelligence (2024) Vol. 54, Iss. 6, pp. 5136-5146
Closed Access | Times Cited: 1

PTBGRP: predicting phage–bacteria interactions with graph representation learning on microbial heterogeneous information network
Jie Pan, Zhu‐Hong You, Wencai You, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 6
Closed Access | Times Cited: 3

GraCEImpute: A novel graph clustering autoencoder approach for imputation of single-cell RNA-seq data
Yueying Wang, Kewei Li, Ruochi Zhang, et al.
Computers in Biology and Medicine (2024) Vol. 184, pp. 109400-109400
Closed Access

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