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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:

Cellcano: supervised cell type identification for single cell ATAC-seq data
Wenjing Ma, Jiaying Lu, Hao Wu
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 21

Showing 21 citing articles:

scButterfly: a versatile single-cell cross-modality translation method via dual-aligned variational autoencoders
Yichuan Cao, Xiamiao Zhao, Songming Tang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Application of Single-Cell Assay for Transposase-Accessible Chromatin with High Throughput Sequencing in Plant Science: Advances, Technical Challenges, and Prospects
Chao Lu, Yunxiao Wei, Mubashir Abbas, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 3, pp. 1479-1479
Open Access | Times Cited: 3
Deciphering cell types by integrating scATAC-seq data with genome sequences
Yuansong Zeng, Mai Luo, Ningyuan Shangguan, et al.
Nature Computational Science (2024) Vol. 4, Iss. 4, pp. 285-298
Open Access | Times Cited: 3
Fast clustering and cell-type annotation of scATAC data using pre-trained embeddings
Nathan J. LeRoy, Jason P. Smith, Guangtao Zheng, et al.
NAR Genomics and Bioinformatics (2024) Vol. 6, Iss. 3
Open Access | Times Cited: 3
scATAnno: Automated Cell Type Annotation for single-cell ATAC Sequencing Data
Yijia Jiang, Zhirui Hu, Allen W. Lynch, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 8
A foundation model for joint segmentation, detection and recognition of biomedical objects across nine modalities
Theodore Zhao, 裕二 池谷, Jianwei Yang, et al.
Nature Methods (2024)
Closed Access | Times Cited: 2
scATAC-Ref: a reference of scATAC-seq with known cell labels in multiple species
Fengcui Qian, Li‐Wei Zhou, Yanbing Zhu, et al.
Nucleic Acids Research (2023) Vol. 52, Iss. D1, pp. D285-D292
Open Access | Times Cited: 6
HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting
Jiaying Lu, Jiaming Shen, Bo Xiong, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023), pp. 2052-2056
Open Access | Times Cited: 5
SPANN: annotating single-cell resolution spatial transcriptome data with scRNA-seq data
Musu Yuan, Hui Wan, Zihao Wang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 1
Fast clustering and cell-type annotation of scATAC data using pre-trained embeddings
Nathan J. LeRoy, Jason P. Smith, Guangtao Zheng, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
AtacAnnoR: a reference-based annotation tool for single cell ATAC-seq data
Lejin Tian, Yunxiao Xie, Zhaobin Xie, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Closed Access | Times Cited: 2
Lineage Plasticity and Stemness Phenotypes in Prostate Cancer: Harnessing the Power of Integrated “Omics” Approaches to Explore Measurable Metrics
Souzana Logotheti, Eugenia Papadaki, Vasiliki Zolota, et al.
Cancers (2023) Vol. 15, Iss. 17, pp. 4357-4357
Open Access | Times Cited: 2
Deciphering Cell Types by Integrating scATAC-seq Data with Genome Sequences
Yuedong Yang, Yuansong Zeng, Mai Luo, et al.
Research Square (Research Square) (2024)
Open Access
HyGAnno: hybrid graph neural network–based cell type annotation for single-cell ATAC sequencing data
Weihang Zhang, Yang Cui, Bowen Liu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access
TRAPT: A multi-stage fused deep learning framework for transcriptional regulators prediction via integrating large-scale epigenomic data
Guorui Zhang, Chao Song, Mingxue Yin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Detecting novel cell type in single-cell chromatin accessibility data via open-set domain adaptation
Yuefan Lin, Zixiang Pan, Yuansong Zeng, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access
scATAcat: cell-type annotation for scATAC-seq data
Aybuge Altay, Martin Vingron
NAR Genomics and Bioinformatics (2024) Vol. 6, Iss. 4
Open Access
Knowledge-based inductive bias and domain adaptation for cell type annotation
Zhenchao Tang, Guanxing Chen, Shouzhi Chen, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access
SCBC: A Supervised Single-Cell Classification Method Based on Batch Correction for ATAC-Seq Data
Josephine Hai, Zhen Xie, Na Liu, et al.
Lecture notes in computer science (2024), pp. 61-72
Closed Access
HyGAnno: Hybrid graph neural network-based cell type annotation for single-cell ATAC sequencing data
Weihang Zhang, Yang Cui, Martin Loza, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
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