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:

Translational Applications of Artificial Intelligence and Machine Learning for Diagnostic Pathology in Lymphoid Neoplasms: A Comprehensive and Evolutive Analysis
Julia Moran-Sanchez, Antonio Santisteban‐Espejo, Miguel Ángel Martín‐Piedra, et al.
Biomolecules (2021) Vol. 11, Iss. 6, pp. 793-793
Open Access | Times Cited: 9

Showing 9 citing articles:

Integrating digitalization opportunities into innovative public organizations’ management process
Ion Popa, Simona Cătălina Ștefan, Ana Alexandra Olariu, et al.
Journal of Innovation & Knowledge (2024) Vol. 9, Iss. 4, pp. 100564-100564
Open Access | Times Cited: 6

Application of machine learning in the management of lymphoma: Current practice and future prospects
Junyun Yuan, Ya Zhang, Xin Wang
Digital Health (2024) Vol. 10
Open Access | Times Cited: 5

Single cell RNA sequencing improves the next generation of approaches to AML treatment: challenges and perspectives
Zahra Khosroabadi, Samaneh Azaryar, Hassan Dianat‐Moghadam, et al.
Molecular Medicine (2025) Vol. 31, Iss. 1
Open Access

An update on applications of digital pathology: primary diagnosis; telepathology, education and research
Shamail Zia, Isil Z. Yildiz-Aktas, Fazail Zia, et al.
Diagnostic Pathology (2025) Vol. 20, Iss. 1
Open Access

Digital Pathology: New Initiative in Pathology
William C. Cho
Biomolecules (2022) Vol. 12, Iss. 9, pp. 1314-1314
Open Access | Times Cited: 3

DIGITALIZATION OPPORTUNITIES FROM THE PERSPECTIVE OF THE PUBLIC SECTOR ORGANIZATIONS: A SYSTEMATIC LITERATURE REVIEW
Cezar-Petre Simion, Ștefan-Cătălin POPA
Proccedings of the International Management Conference (2024)
Open Access

A user-friendly machine learning approach for cardiac structures assessment
Atilla Orhan, Hakan Akbayrak, Ömer Faruk Çiçek, et al.
Frontiers in Cardiovascular Medicine (2024) Vol. 11
Open Access

The Role of Machine Learning in the Most Common Hematological Malignancies: A Narrative Review
Teresa Perillo, Marco De Giorgi, Claudia Giorgio, et al.
Hemato (2024) Vol. 5, Iss. 4, pp. 380-387
Open Access

APPLICATION OF ARTIFICIAL INTELLIGENCE IN LYMPHOID TISSUE TUMOR DIAGNOSIS
N. P. Zverev, I. V. Tsvetnov, Mark Voloshin, et al.
Laboratornaya i klinicheskaya meditsina Farmatsiya (2024), Iss. 13, pp. 40-47
Closed Access

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