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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:

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

Showing 1-25 of 58 citing articles:

Clinical Applications of Artificial Intelligence—An Updated Overview
Ștefan Busnatu, Adelina-Gabriela Niculescu, Alexandra Bolocan, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 8, pp. 2265-2265
Open Access | Times Cited: 101
Translation of AI into oncology clinical practice
Issam El Naqa, Aleksandra Karolak, Yi Luo, et al.
Oncogene (2023) Vol. 42, Iss. 42, pp. 3089-3097
Closed Access | Times Cited: 30
Literature review of digital twin in healthcare
Tatiana Mallet Machado, Fernando Tobal Berssaneti
Heliyon (2023) Vol. 9, Iss. 9, pp. e19390-e19390
Open Access | Times Cited: 28
Applications of artificial intelligence in clinical laboratory genomics
Swaroop Aradhya, Flavia M. Facio, Hillery C. Metz, et al.
American Journal of Medical Genetics Part C Seminars in Medical Genetics (2023) Vol. 193, Iss. 3
Open Access | Times Cited: 26
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
Modeling the effect of implementation of artificial intelligence powered image analysis and pattern recognition algorithms in concrete industry
Ahsan Waqar, Naraindas Bheel, Bassam A. Tayeh
Developments in the Built Environment (2024) Vol. 17, pp. 100349-100349
Open Access | Times Cited: 10
A comprehensive survey of artificial intelligence adoption in European laboratory medicine: current utilization and prospects
Janne Cadamuro, Anna Carobene, Federico Cabitza, et al.
Clinical Chemistry and Laboratory Medicine (CCLM) (2024)
Open Access | Times Cited: 9
Digital twins and AI transforming healthcare systems through innovation and data-driven decision making
Adel Oulefki, Abbes Amira, Sebti Foufou
Health and Technology (2025)
Closed Access | Times Cited: 1
Automatic generation of artificial images of leukocytes and leukemic cells using generative adversarial networks (syntheticcellgan)
Kevin Barrera, Anna Merino, Ángel Molina, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 229, pp. 107314-107314
Open Access | Times Cited: 33
Artificial intelligence in clinical multiparameter flow cytometry and mass cytometry–key tools and progress
Franklin Fuda, Mingyi Chen, Weina Chen, et al.
Seminars in Diagnostic Pathology (2023) Vol. 40, Iss. 2, pp. 120-128
Closed Access | Times Cited: 13
Clinical Cytogenetics: Current Practices and Beyond
Mariam Mathew, Melanie Babcock, Ying‐Chen Claire Hou, et al.
The Journal of Applied Laboratory Medicine (2024) Vol. 9, Iss. 1, pp. 61-75
Closed Access | Times Cited: 5
Unlocking Potential
Herat Joshi, Shenson Joseph, Parag Shukla
Advances in medical technologies and clinical practice book series (2024), pp. 313-341
Closed Access | Times Cited: 5
Novel Diagnostic and Therapeutic Options for KMT2A-Rearranged Acute Leukemias
Bruno A. Lopes, Caroline P. Poubel, Cristiane Esteves Teixeira, et al.
Frontiers in Pharmacology (2022) Vol. 13
Open Access | Times Cited: 19
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
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
Artificial intelligence in haematopathology: current perspective and future directions
Carlo Pescia, Anna M Sozanska, Emily Thomas, et al.
Diagnostic histopathology (2025)
Closed Access
Machine learning-based detection and quantification of red blood cells in Cholistani cattle: A pilot study
Sami Ur Rehman, Sania Fayyaz, Muhammad Usman, et al.
Research in Veterinary Science (2025) Vol. 189, pp. 105650-105650
Closed Access
Integrating artificial intelligence into haematology training and practice: Opportunities, threats and proposed solutions
Shang Yuin Chai, Amjad Hayat, Gerard Flaherty
British Journal of Haematology (2022) Vol. 198, Iss. 5, pp. 807-811
Open Access | Times Cited: 18
Synergistic Integration of Digital Twins and Neural Networks for Advancing Optimization in the Construction Industry: A Comprehensive Review
Alexey Borovkov, Khristina Maksudovna Vafaeva, Nikolai Vatin, et al.
Construction Materials and Products (2024) Vol. 7, Iss. 4, pp. 7-7
Closed Access | Times Cited: 3
Disruption vs. evolution in laboratory medicine. Current challenges and possible strategies, making laboratories and the laboratory specialist profession fit for the future
Janne Cadamuro
Clinical Chemistry and Laboratory Medicine (CCLM) (2022) Vol. 61, Iss. 4, pp. 558-566
Open Access | Times Cited: 15
Hematology and Machine Learning
Amrom E. Obstfeld
The Journal of Applied Laboratory Medicine (2022) Vol. 8, Iss. 1, pp. 129-144
Closed Access | Times Cited: 13
Artificial Intelligence in Bone Marrow Histological Diagnostics: Potential Applications and Challenges
Leander van Eekelen, Geert Litjens, Konnie M. Hebeda
Pathobiology (2023) Vol. 91, Iss. 1, pp. 8-17
Open Access | Times Cited: 7
Translating the regulatory landscape of medical devices to create fit‐for‐purpose artificial intelligence (AI) cytometry solutions
Goce Bogdanoski, Fabienne Lucas, Wolfgang Kern, et al.
Cytometry Part B Clinical Cytometry (2024) Vol. 106, Iss. 4, pp. 294-307
Closed Access | Times Cited: 2
Digital health technologies: Compounding the existing ethical challenges of the ‘right’ not to know
Richard Armitage
Journal of Evaluation in Clinical Practice (2024) Vol. 30, Iss. 5, pp. 774-779
Open Access | Times Cited: 2
Comparative analysis of feature-based ML and CNN for binucleated erythroblast quantification in myelodysplastic syndrome patients using imaging flow cytometry data
Carina Agerbo Rosenberg, Matthew A. Rodrigues, Marie Bill, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
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