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:

A Review of Artificial Intelligence Applications in Hematology Management: Current Practices and Future Prospects
Yousra El Alaoui, Adel Elomri, Marwa Qaraqe, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 7, pp. e36490-e36490
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Cancer nursing research priorities: A rapid review
Maura Dowling, Nikolaos Efstathiou, Amanda Drury, et al.
European Journal of Oncology Nursing (2023) Vol. 63, pp. 102272-102272
Open Access | Times Cited: 26

Artificial intelligence in hematological diagnostics: Game changer or gadget?
Wencke Walter, Christian Pohlkamp, Manja Meggendorfer, et al.
Blood Reviews (2022) Vol. 58, pp. 101019-101019
Open Access | Times Cited: 35

Artificial intelligence in the clinical laboratory
Hanjing Hou, Rui Zhang, Jinming Li
Clinica Chimica Acta (2024) Vol. 559, pp. 119724-119724
Closed Access | Times Cited: 6

Promising Therapeutic Strategies for Hematologic Malignancies: Innovations and Potential
Jan Jakub Lica, Bhaskar Pradhan, Kawthar Safi, et al.
Molecules (2024) Vol. 29, Iss. 17, pp. 4280-4280
Open Access | Times Cited: 5

Exploring the role of artificial intelligence in chemotherapy development, cancer diagnosis, and treatment: present achievements and future outlook
Bassam Abdul Rasool Hassan, Ali Haider Mohammed, Souheil Hallit, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access

Future Use of AI in Diagnostic Medicine: 2-Wave Cross-Sectional Survey Study
Bernardo Pereira Cabral, Luiza Amara Maciel Braga, Carlos Gilbert Conte Filho, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e53892-e53892
Open Access

Big data analytics and machine learning in hematology: Transformative insights, applications and challenges
Emmanuel Ifeanyi Obeagu, Christiana Uchenna Ezeanya, Fabian Chukwudi Ogenyi, et al.
Medicine (2025) Vol. 104, Iss. 10, pp. e41766-e41766
Open Access

Applications of artificial intelligence-assisted retinal imaging in systemic diseases: A literature review
AliM Al-Halafi
Saudi Journal of Ophthalmology (2023) Vol. 37, Iss. 3, pp. 185-192
Open Access | Times Cited: 8

From microscope to micropixels: A rapid review of artificial intelligence for the peripheral blood film
Bingwen Eugene Fan, Bryan Song Jun Yong, Ruiqi Li, et al.
Blood Reviews (2023) Vol. 64, pp. 101144-101144
Closed Access | Times Cited: 6

Harnessing the power of AI-based models to accelerate drug discovery against immune diseases
Philippe Moingeon
Expert Review of Clinical Immunology (2024) Vol. 20, Iss. 10, pp. 1135-1138
Closed Access | Times Cited: 1

Integrating AI and ML in Myelodysplastic Syndrome Diagnosis: State-of-the-Art and Future Prospects
Amgad Mohamed Elshoeibi, Ahmed Badr, Basel Elsayed, et al.
Cancers (2023) Vol. 16, Iss. 1, pp. 65-65
Open Access | Times Cited: 4

The new era of immunological treatment, last updated and future consideration of CAR T cell-based drugs
Kaveh Hadiloo, Siavash Taremi, Salar Hozhabri Safa, et al.
Pharmacological Research (2024) Vol. 203, pp. 107158-107158
Open Access

Multithreading approach for white blood cell segmentation implementation
Beatriz P. Garcia-Salgado, Volodymyr I. Ponomaryov, J.L. Diaz-Resendiz, et al.
(2024), pp. 20-20
Closed Access

Role of artificial intelligence in the early detection of thrombocytopenia: An approach to improve health of pregnant women
Shaifali Thakur, Vivek Kumar Garg, Attuluri Vamsi Kumar
(2024), pp. 350-355
Closed Access

The power and perils of large language models in haematology
Jacob L. Glass, Olivier Elemento
British Journal of Haematology (2024) Vol. 205, Iss. 6, pp. 2190-2192
Closed Access

Blood less hematology cell counter and survival prediction using artificial intelligence
Utkarsha Pacharaney, Nusrat Parveen, Suriya Aktar, et al.
AIP conference proceedings (2024) Vol. 3188, pp. 100010-100010
Closed Access

White Blood Cells Recognition and Classification using Convolutional Neural Network
Bana Fridath Bio Nigan, Alban Zohoun, Ahmed Dooguy Kora
(2023), pp. 145-150
Closed Access | Times Cited: 1

Machine Learning for Diagnosis and Screening of Chronic Lymphocytic Leukemia Using Routine Complete Blood Count (CBC) Results
Regina Padmanabhan, Yousra El Alaoui, Adel Elomri, et al.
Studies in health technology and informatics (2023)
Open Access | Times Cited: 1

CDC-NET: a cell detection and confirmation network of bone marrow aspirate images for the aided diagnosis of AML
Jie Su, Yahui Liu, Jing Zhang, et al.
Medical & Biological Engineering & Computing (2023)
Closed Access | Times Cited: 1

Prediction of Multiple Clinical Complications in Cancer Patients to Ensure Hospital Preparedness and Improved Cancer Care
Regina Padmanabhan, Adel Elomri, Ruba Y. Taha, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 20, Iss. 1, pp. 526-526
Open Access | Times Cited: 1

An Artificial Intelligence-Based Diagnostic System for Acute Lymphoblastic Leukemia Detection
Yousra El Alaoui, Regina Padmanabhan, Adel Elomri, et al.
Studies in health technology and informatics (2023)
Open Access

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