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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:

Machine learning and artificial intelligence in haematology
Roni Shouval, Joshua Fein, Bipin N. Savani, et al.
British Journal of Haematology (2020) Vol. 192, Iss. 2, pp. 239-250
Open Access | Times Cited: 97

Showing 1-25 of 97 citing articles:

Machine Learning (ML) in Medicine: Review, Applications, and Challenges
Amir Masoud Rahmani, Efat Yousefpoor, Mohammad Sadegh Yousefpoor, et al.
Mathematics (2021) Vol. 9, Iss. 22, pp. 2970-2970
Open Access | Times Cited: 122
A deep learning model (ALNet) for the diagnosis of acute leukaemia lineage using peripheral blood cell images
Laura Boldú, Anna Merino, Andrea Acevedo, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 202, pp. 105999-105999
Closed Access | Times Cited: 97
Potential applications and performance of machine learning techniques and algorithms in clinical practice: A systematic review
Ezekwesiri Michael Nwanosike, Barbara R. Conway, Hamid A. Merchant, et al.
International Journal of Medical Informatics (2021) Vol. 159, pp. 104679-104679
Open Access | Times Cited: 81
How artificial intelligence might disrupt diagnostics in hematology in the near future
Wencke Walter, Claudia Haferlach, Niroshan Nadarajah, et al.
Oncogene (2021) Vol. 40, Iss. 25, pp. 4271-4280
Open Access | Times Cited: 58
Sustainable energies and machine learning: An organized review of recent applications and challenges
Pouya Ifaei, Morteza Nazari‐Heris, Amir Saman Tayerani Charmchi, et al.
Energy (2022) Vol. 266, pp. 126432-126432
Closed Access | Times Cited: 48
Predictive models for clinical decision making: Deep dives in practical machine learning
Sandra Eloranta, Magnus Boman
Journal of Internal Medicine (2022) Vol. 292, Iss. 2, pp. 278-295
Open Access | Times Cited: 46
A Customized Efficient Deep Learning Model for the Diagnosis of Acute Leukemia Cells Based on Lymphocyte and Monocyte Images
Sanam Ansari, Ahmad Habibizad Navin, Amin Babazadeh Sangar, et al.
Electronics (2023) Vol. 12, Iss. 2, pp. 322-322
Open Access | Times Cited: 34
AI and machine learning ethics, law, diversity, and global impact
Katherine Drabiak, Skylar Kyzer, Valerie Nemov, et al.
British Journal of Radiology (2023) Vol. 96, Iss. 1150
Open Access | Times Cited: 32
Artificial Intelligence-Assisted Diagnostic Cytology and Genomic Testing for Hematologic Disorders
Lealem Gedefaw, Chia-Fei Liu, Rosalina K. L. Ip, et al.
Cells (2023) Vol. 12, Iss. 13, pp. 1755-1755
Open Access | Times Cited: 32
Dialog chatbot as an interactive online tool in enhancing ESP vocabulary learning
Fawaz Qasem, Mukhtar Ghaleb, Hassan Saleh Mahdi, et al.
Saudi Journal of Language Studies (2023) Vol. 3, Iss. 2, pp. 76-86
Open Access | Times Cited: 29
Big Data in Transfusion Medicine and Artificial Intelligence Analysis for Red Blood Cell Quality Control
Marcelle G. M. Lopes, Steffen M. Recktenwald, Greta Simionato, et al.
Transfusion Medicine and Hemotherapy (2023) Vol. 50, Iss. 3, pp. 163-173
Open Access | Times Cited: 24
Digital pathology and artificial intelligence as the next chapter in diagnostic hematopathology
Elisa Lin, Franklin Fuda, Hung S. Luu, et al.
Seminars in Diagnostic Pathology (2023) Vol. 40, Iss. 2, pp. 88-94
Closed Access | Times Cited: 22
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: 8
Effect of Domaining in Mineral Resource Estimation with Machine Learning
F. Betul Atalay
Minerals (2025) Vol. 15, Iss. 4, pp. 330-330
Open Access | Times Cited: 1
Overcoming resistance to targeted therapies in chronic lymphocytic leukemia
Sigrid S. Skånland, Anthony R. Mato
Blood Advances (2021) Vol. 5, Iss. 1, pp. 334-343
Open Access | Times Cited: 47
Automatic identification of malaria and other red blood cell inclusions using convolutional neural networks
Ángel Molina, José Rodellar, Laura Boldú, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104680-104680
Closed Access | Times Cited: 42
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: 36
Rapid triage for ischemic stroke: a machine learning-driven approach in the context of predictive, preventive and personalised medicine
Yulu Zheng, Zheng Guo, Yanbo Zhang, et al.
The EPMA Journal (2022) Vol. 13, Iss. 2, pp. 285-298
Open Access | Times Cited: 33
Bridging artificial intelligence and fucoxanthin for the recovery and quantification from microalgae
Jun Wei Roy Chong, Doris Ying Ying Tang, Hui Yi Leong, et al.
Bioengineered (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 19
Enhancing medical image analysis with unsupervised domain adaptation approach across microscopes and magnifications
Talha Ilyas, Khubaib Ahmad, Dewa Made Sri Arsa, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 108055-108055
Open Access | Times Cited: 7
Recent advances and applications of machine learning in the variable renewable energy sector
Subhajit Chatterjee, Prince Waqas Khan, Yung-Cheol Byun
Energy Reports (2024) Vol. 12, pp. 5044-5065
Open Access | Times Cited: 6
Identifying Patients with Polycythemia Vera at Risk of Thrombosis after Hydroxyurea Initiation: The Polycythemia Vera—Advanced Integrated Models (PV-AIM) Project
Srđan Verstovšek, Ivan Krečak, Florian H. Heidel, et al.
Biomedicines (2023) Vol. 11, Iss. 7, pp. 1925-1925
Open Access | Times Cited: 15
Validation of Artificial Intelligence (AI)-Assisted Flow Cytometry Analysis for Immunological Disorders
Zhengchun Lu, Mayu Morita, Tyler S. Yeager, et al.
Diagnostics (2024) Vol. 14, Iss. 4, pp. 420-420
Open Access | Times Cited: 5
Next-Generation Implementation of Chimeric Antigen Receptor T-Cell Therapy Using Digital Health
Rahul Banerjee, Nina Shah, Adam P. Dicker
JCO Clinical Cancer Informatics (2021), Iss. 5, pp. 668-678
Closed Access | Times Cited: 31
Differential diagnosis of bone marrow failure syndromes guided by machine learning
Fernanda Gutierrez‐Rodrigues, Eric Munger, Xiaoyang Ma, et al.
Blood (2022)
Open Access | Times Cited: 22
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