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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:

scPretrain: multi-task self-supervised learning for cell-type classification
Ruiyi Zhang, Yunan Luo, Jianzhu Ma, et al.
Bioinformatics (2022) Vol. 38, Iss. 6, pp. 1607-1614
Open Access | Times Cited: 13

Showing 13 citing articles:

Large-scale foundation model on single-cell transcriptomics
Minsheng Hao, Jing Gong, Xin Zeng, et al.
Nature Methods (2024) Vol. 21, Iss. 8, pp. 1481-1491
Closed Access | Times Cited: 77
Large Scale Foundation Model on Single-cell Transcriptomics
Minsheng Hao, Jing Gong, Xin Zeng, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 56
Profiling cell identity and tissue architecture with single-cell and spatial transcriptomics
Gunsagar S. Gulati, Jeremy Philip D’Silva, Yunhe Liu, et al.
Nature Reviews Molecular Cell Biology (2024) Vol. 26, Iss. 1, pp. 11-31
Closed Access | Times Cited: 27
CIForm as a Transformer-based model for cell-type annotation of large-scale single-cell RNA-seq data
Jing Xu, Aidi Zhang, Fang Liu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Closed Access | Times Cited: 27
Automatic cell type identification methods for single-cell RNA sequencing
Bingbing Xie, Qin Jiang, Antonio Mora, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 5874-5887
Open Access | Times Cited: 47
Spatial-Omics Methods and Applications
Arutha Kulasinghe, Naomi Berrell, Meg L Donovan, et al.
Methods in molecular biology (2025), pp. 101-146
Closed Access
A scalable sparse neural network framework for rare cell type annotation of single-cell transcriptome data
Yuqi Cheng, Xingyu Fan, Jianing Zhang, et al.
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 10
Delineating the effective use of self-supervised learning in single-cell genomics
Till Richter, Mojtaba Bahrami, Yufan Xia, et al.
Nature Machine Intelligence (2024)
Open Access | Times Cited: 3
Hierarchical cell-type identifier accurately distinguishes immune-cell subtypes enabling precise profiling of tissue microenvironment with single-cell RNA-sequencing
Joongho Lee, Min‐Soo Kim, Keunsoo Kang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Open Access | Times Cited: 5
Delineating the Effective Use of Self-Supervised Learning in Single-Cell Genomics
Till Richter, Mojtaba Bahrami, Yufan Xia, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Clustering-based multi-featured self-supervised learning for human activities and video retrieval
Muhammad Hafeez Javed, Yu Zeng, Taha M. Rajeh, et al.
Applied Intelligence (2024) Vol. 54, Iss. 8, pp. 6198-6212
Closed Access
STPDA: Leveraging spatial-temporal patterns for downstream analysis in spatial transcriptomic data
Mingguang Shi, Xudong Cheng, Yulong Dai
Computational Biology and Chemistry (2024) Vol. 112, pp. 108127-108127
Closed Access
Hierarchical cell-type identifier accurately distinguishes immune-cell subtypes enabling precise profiling of tissue microenvironment with single-cell RNA-sequencing
Joongho Lee, Min‐Soo Kim, Keunsoo Kang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
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