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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:

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

Showing 20 citing articles:

Advances in the Application of Single-Cell Transcriptomics in Plant Systems and Synthetic Biology
Md Torikul Islam, Yang Liu, Md Mahmudul Hassan, et al.
BioDesign Research (2024) Vol. 6, pp. 0029-0029
Open Access | Times Cited: 13
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
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
Finding potential lncRNA–disease associations using a boosting-based ensemble learning model
Liqian Zhou, Xinhuai Peng, Lijun Zeng, et al.
Frontiers in Genetics (2024) Vol. 15
Open Access | Times Cited: 5
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
scAMZI: attention-based deep autoencoder with zero-inflated layer for clustering scRNA-seq data
Lin Yuan, Zhijie Xu, Boyuan Meng, et al.
BMC Genomics (2025) Vol. 26, Iss. 1
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 comprehensive survey of dimensionality reduction and clustering methods for single-cell and spatial transcriptomics data
Yidi Sun, Lingling Kong, Jiayi Huang, et al.
Briefings in Functional Genomics (2024) Vol. 23, Iss. 6, pp. 733-744
Closed Access | Times Cited: 3
DCRELM: dual correlation reduction network-based extreme learning machine for single-cell RNA-seq data clustering
Qingyun Gao, Qing Ai
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
From cancer big data to treatment: Artificial intelligence in cancer research
Mohd Danishuddin, Shawez Khan, Jong-Joo Kim
The Journal of Gene Medicine (2023) Vol. 26, Iss. 1
Closed Access | Times Cited: 7
SEnSCA: Identifying possible ligand‐receptor interactions and its application in cell–cell communication inference
Liqian Zhou, Xiwen Wang, Lihong Peng, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 9
Open Access | Times Cited: 2
Dimension Reduction and Classifier-Based Feature Selection for Oversampled Gene Expression Data and Cancer Classification
Olutomilayo Olayemi Petinrin, Faisal Saeed, Naomie Salim, et al.
Processes (2023) Vol. 11, Iss. 7, pp. 1940-1940
Open Access | Times Cited: 5
A framework for scRNA-seq data clustering based on multi-view feature integration
Feng Li, Yang Liu, Jin‐Xing Liu, et al.
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105785-105785
Closed Access | Times Cited: 5
Graph-Regularized Non-Negative Matrix Factorization for Single-Cell Clustering in scRNA-Seq Data
Han-Jing Jiang, Mei-Neng Wang, Yu‐An Huang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 8, pp. 4986-4994
Closed Access
IntroGRN: Gene Regulatory Network Inference from Single-Cell RNA Data Based on Introspective VAE
Rongyuan Li, Jingli Wu, Gaoshi Li, et al.
Lecture notes in computer science (2024), pp. 427-438
Closed Access
Single-cell RNA sequencing data analysis utilizing multi-type graph neural networks
Li Xu, Z M Li, Jiaxu Ren, et al.
Computers in Biology and Medicine (2024) Vol. 179, pp. 108921-108921
Closed Access
Predicting ligand-receptor interactions based on LSTM network with the attention mechanism and its application on cell-cell communication inference
Ruogu Luo, Pengfei Gao, Min Chen, et al.
Research Square (Research Square) (2024)
Open Access
ADM: adaptive graph diffusion for meta-dimension reduction
Junning Feng, Yong Liang, Tianwei Yu
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access
SIGRN: Inferring Gene Regulatory Network with Soft Introspective Variational Autoencoders
Rongyuan Li, Jingli Wu, Gaoshi Li, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 23, pp. 12741-12741
Open Access
Single Cell RNA Sequencing and Data Analysis
Mukunda Goswami, Ashikha Kitchlu, Bibhu Prasad Behera, et al.
Elsevier eBooks (2024)
Closed Access
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