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:

Accurately deciphering spatial domains for spatially resolved transcriptomics with stCluster
Tao Wang, Han Shu, Jialu Hu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 7

Showing 7 citing articles:

A cross dataset meta-model for hepatitis C detection using multi-dimensional pre-clustering
Aryan Sharma, Tanmay Khade, Shashank Mouli Satapathy
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

MAEST: accurately spatial domain detection in spatial transcriptomics with graph masked autoencoder
Pengfei Zhu, Han Shu, Yongtian Wang, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access

Investigating the Impact of Antibiotics on Environmental Microbiota Through Machine Learning Models
Yi-Heng Du, Khandaker Asif Ahmed, Md Rakibul Hasan, et al.
IET Systems Biology (2025) Vol. 19, Iss. 1
Open Access

The Quantification of Myocardial Fibrosis on Human Histopathology Images by a Semi-Automatic Algorithm
Diana Gonciar, Alexandru-George Berciu, Alex Ede Danku, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7696-7696
Open Access

A comprehensive review of approaches for spatial domain recognition of spatial transcriptomes
Ziyi Wang, Aoyun Geng, Hao Duan, et al.
Briefings in Functional Genomics (2024) Vol. 23, Iss. 6, pp. 702-712
Closed Access

Prediction of viral oncoproteins through the combination of generative adversarial networks and machine learning techniques
Jorge F. Beltrán, Lisandra Herrera-Belén, Alejandro J. Yáñez, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

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