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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:

Weakly supervised detection and classification of basal cell carcinoma using graph-transformer on whole slide images
Filmon Yacob, Jan Siarov, Kajsa Villiamsson, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 13

Showing 13 citing articles:

A pathology foundation model for cancer diagnosis and prognosis prediction
Xiyue Wang, Junhan Zhao, Eliana Marostica, et al.
Nature (2024) Vol. 634, Iss. 8035, pp. 970-978
Closed Access | Times Cited: 43
A survey of Transformer applications for histopathological image analysis: New developments and future directions
Chukwuemeka Clinton Atabansi, Jing Nie, Haijun Liu, et al.
BioMedical Engineering OnLine (2023) Vol. 22, Iss. 1
Open Access | Times Cited: 24
Intelligent strategy for severity scoring of skin diseases based on clinical decision-making thinking with lesion-aware transformer
Kai Huang, Kai Sun, Jiayi Li, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access | Times Cited: 1
Not seeing the trees for the forest. The impact of neighbours on graph-based configurations in histopathology
Olga Fourkioti, Matt De Vries, Reed Naidoo, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access
Self supervised artificial intelligence predicts poor outcome from primary cutaneous squamous cell carcinoma at diagnosis
Nicolas Coudray, Michelle C. Juarez, Maressa C. Criscito, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Predicting metastatic potential of primary cutaneous melanomas utilizing weakly supervised vision language model
Filip Dahlén, Ivan Shujski, Filmon Yacob, et al.
Research Square (Research Square) (2025)
Closed Access
Generating clinical-grade pathology reports from gigapixel whole slide images with HistoGPT
Manuel Tran, Paul Schmidle, Sophia J. Wagner, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Deep learning model shows pathologist-level detection of sentinel node metastasis of melanoma and intra-nodal nevi on whole slide images
Jan Siarov, Angelica Siarov, Darshan Kumar, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 2
Detection and subtyping of basal cell carcinoma in whole-slide histopathology using weakly-supervised learning
Daan Geijs, Stephan Dooper, Witali Aswolinskiy, et al.
Medical Image Analysis (2023) Vol. 93, pp. 103063-103063
Open Access | Times Cited: 5
Incidence of malignant eyelid tumors: A 6-year period review (2015–2021)
Daniele Martins de Lima Oliveira, Adriana Ribeiro, Sílvia Diniz, et al.
The Pan-American Journal of Ophthalmology (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 1
TDT-MIL: a framework with a dual-channel spatial positional encoder for weakly-supervised whole slide image classification
Hongbin Zhang, Ya Feng, Jin Zhang, et al.
Biomedical Optics Express (2024) Vol. 15, Iss. 10, pp. 5831-5831
Open Access
Self-supervised artificial intelligence predicts recurrence, metastasis and disease specific death from primary cutaneous squamous cell carcinoma at diagnosis
John A. Carucci, Nicolas Coudray, Michelle C. Juarez, et al.
Research Square (Research Square) (2023)
Open Access
Convolutional Neural Network Model for Basal Cell Carcinoma Detection
R. Moran, Edgar Fernando López Loaiza, Nicole Gabriela Tumi Alarcón, et al.
Revista de investigación de Sistemas e Informática (2023) Vol. 16, Iss. 2, pp. 33-41
Open Access
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