OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Artificial Intelligence-Based Management of Adult Chronic Myeloid Leukemia: Where Are We and Where Are We Going?
Simona Bernardi, Mauro Vallati, Roberto Gatta
Cancers (2024) Vol. 16, Iss. 5, pp. 848-848
Open Access | Times Cited: 8

Showing 8 citing articles:

The Applications of Machine Learning in the Management of Patients Undergoing Stem Cell Transplantation: Are We Ready?
Luca Garuffo, Alessandro Leoni, Roberto Gatta, et al.
Cancers (2025) Vol. 17, Iss. 3, pp. 395-395
Open Access | Times Cited: 2

Application of artificial intelligence in chronic myeloid leukemia (CML) disease prediction and management: a scoping review
Malihe Ram, Mohammad Reza Afrash, Khadijeh Moulaei, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 8

Applications of Artificial Intelligence in Acute Promyelocytic Leukemia: An Avenue of Opportunities? A Systematic Review
Mihnea‐Alexandru Găman, Monica Dugăeșescu, Dragoş-Claudiu Popescu
Journal of Clinical Medicine (2025) Vol. 14, Iss. 5, pp. 1670-1670
Open Access | Times Cited: 1

[18F]FDG PET-Based Radiomics and Machine Learning for the Assessment of Gliomas and Glioblastomas: A Systematic Review
Francesco Dondi, Roberto Gatta, Maria Gazzilli, et al.
Information (2025) Vol. 16, Iss. 1, pp. 58-58
Open Access

Beyond TKIs: Advancing Therapeutic Frontiers with Immunotherapy, Targeted Agents, and Combination Strategies in Resistant Chronic Myeloid Leukemia
Imran Rashid Rangraze, Mohamed El‐Tanani, Adil Farooq Wali, et al.
Hemato (2025) Vol. 6, Iss. 1, pp. 6-6
Open Access

Utilization of Machine Learning in the Prediction, Diagnosis, Prognosis, and Management of Chronic Myeloid Leukemia
Fabio Stagno, Sabina Russo, Giuseppe Murdaca, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 6, pp. 2535-2535
Open Access

Study of Expression of MST3 in Myeloid Leukaemia
Boro Arthi, K. Sujatha, Sridhar Gopal, et al.
Medical Sciences (2025) Vol. 13, Iss. 2, pp. 33-33
Open Access

The impact of next-generation sequencing for diagnosis and disease understanding of myeloid malignancies
Erica Vormittag‐Nocito, Madina Sukhanova, Lucy A. Godley
Expert Review of Molecular Diagnostics (2024) Vol. 24, Iss. 7, pp. 591-600
Closed Access

Page 1

Scroll to top