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:

The state of the art for artificial intelligence in lung digital pathology
Vidya Sankar Viswanathan, Paula Toro, Germán Corredor, et al.
The Journal of Pathology (2022) Vol. 257, Iss. 4, pp. 413-429
Open Access | Times Cited: 59

Showing 51-75 of 59 citing articles:

Advancing prostate cancer diagnosis and treatment through pathomics and artificial intelligence
Derek J. Van Booven, Cheng-Bang Chen, Abhishek Gupta, et al.
Elsevier eBooks (2024), pp. 41-66
Closed Access

AI bias in lung cancer radiotherapy
Kai Ding, Shelby Forbes, Fangfang Ma, et al.
(2024) Vol. 2, Iss. 6, pp. 302-312
Open Access

A semi-automatic pipeline integrating histological and µCT data in a mouse model of lung fibrosis
Elena Vincenzi, Martina Buccardi, Erica Ferrini, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access

Histopathological Diagnosis of Meningioma and Solitary Fibrous Tumors Based on a Multi-scale Fusion Approach Utilizing Vision Transformer and Texture Analysis
Mohamed T. Azam, Hossam Magdy Balaha, Dibson Gondim, et al.
Lecture notes in computer science (2024), pp. 31-45
Closed Access

A Deep Learning–Based System Trained for Gastrointestinal Stromal Tumor Screening Can Identify Multiple Types of Soft Tissue Tumors
Meng Zhu, Guangxi Wang, Fei Su, et al.
American Journal Of Pathology (2023) Vol. 193, Iss. 7, pp. 899-912
Open Access | Times Cited: 1

Clinical severity classes in COVID-19 pneumonia have distinct immunological profiles, facilitating risk stratification by machine learning
Laura Wiffen, Leon D’Cruz, Thomas Brown, et al.
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 1

Research progress of radiomics and artificial intelligence in lung cancer
Xiang Wang, Wenjun Huang, Jingyi Zhao, et al.
Chinese Journal of Academic Radiology (2023) Vol. 6, Iss. 3, pp. 91-99
Closed Access

Ensemble of Unsupervised Learned Image Representations Based On Variational Autoencoders for Lung Adenocarcinoma Subtype Differentiation
Fabián Cano, Charlems Alvarez‐Jimenez, Eduardo Romero, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2023), pp. 1-5
Closed Access

AI-Assisted Digital Pathology for Computational distinction of adenocarcinoma vs squamous cell carcinoma
Vyomesh Jamwal, Abzal Nurgazy, Amina Izbassar, et al.
2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (2023), pp. 1-6
Closed Access

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