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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 26-50 of 97 citing articles:

AI-Enhanced Blood Cell Recognition and Analysis: Advancing Traditional Microscopy with the Web-Based Platform IKOSA
Manuel Campos-Medina, A. Blumer, Patrick Kraus-Füreder, et al.
Journal of Molecular Pathology (2024) Vol. 5, Iss. 1, pp. 28-44
Open Access | Times Cited: 4
Prediction model of radiotherapy outcome for Ocular Adnexal Lymphoma using informative features selected by chemometric algorithms
Min Zhou, Jiaqi Wang, Jiahao Shi, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 108067-108067
Closed Access | Times Cited: 4
Machine Learning Meets Encrypted Search: The Impact and Efficiency of OMKSA in Data Security
Zhongkai Wei, Ye Su, Xi Zhang, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access
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
Advancing cell therapies with artificial intelligence and synthetic biology
Monojit Choudhury, Annika J. Deans, Daniel R. Candland, et al.
Current Opinion in Biomedical Engineering (2025), pp. 100580-100580
Open Access
A novel method for screening malignant hematological diseases by constructing an optimal machine learning model based on blood cell parameters
Dehua Sun, Wei Chen, Jun He, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
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
Using Artificial Intelligence to Enhance Myelodysplastic Syndrome Diagnosis, Prognosis, and Treatment
Fabio Stagno, Giuseppe Mirabile, Patricia Rizzotti, et al.
Biomedicines (2025) Vol. 13, Iss. 4, pp. 835-835
Open Access
Establishment of a machine learning-based prediction framework to assess trade-offs in decisions that affect post-HCT outcomes
Deniz Akdemir, Jeffery J. Auletta, Caitrin Bupp, et al.
Computers in Biology and Medicine (2025) Vol. 191, pp. 110113-110113
Closed Access
A Machine Learning Approach to the Classification of Acute Leukemias and Distinction From Nonneoplastic Cytopenias Using Flow Cytometry Data
Sara A. Monaghan, Jeng-Lin Li, Yen‐Chun Liu, et al.
American Journal of Clinical Pathology (2021) Vol. 157, Iss. 4, pp. 546-553
Closed Access | Times Cited: 26
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
Reference Intervals for Blood Biomarkers in Farmed Atlantic Salmon, Coho Salmon and Rainbow Trout in Chile: Promoting a Preventive Approach in Aquamedicine
Marco Rozas‐Serri, Rodolfo Correa, Romina Walker-Vergara, et al.
Biology (2022) Vol. 11, Iss. 7, pp. 1066-1066
Open Access | Times Cited: 17
Machine Learning Improves Risk Stratification in Myelofibrosis: An Analysis of the Spanish Registry of Myelofibrosis
Adrián Mosquera-Orgueira, Manuel Pérez‐Encinas, Alberto Hernández, et al.
HemaSphere (2022) Vol. 7, Iss. 1, pp. e818-e818
Open Access | Times Cited: 17
A Credit Card Fraud Detection Method Based on Mahalanobis Distance Hybrid Sampling and Random Forest Algorithm
Zhichao Xie, Xuan Huang
IEEE Access (2024) Vol. 12, pp. 162788-162798
Open Access | Times Cited: 3
A new convolutional neural network predictive model for the automatic recognition of hypogranulated neutrophils in myelodysplastic syndromes
Andrea Acevedo, Anna Merino, Laura Boldú, et al.
Computers in Biology and Medicine (2021) Vol. 134, pp. 104479-104479
Closed Access | Times Cited: 23
Revolutionizing chronic lymphocytic leukemia diagnosis: A deep dive into the diverse applications of machine learning
Mohamed Elhadary, Amgad M. Elshoeibi, Ahmed Badr, et al.
Blood Reviews (2023) Vol. 62, pp. 101134-101134
Open Access | Times Cited: 8
Knowledge transfer to enhance the performance of deep learning models for automated classification of B cell neoplasms
Nanditha Mallesh, Max Zhao, Lisa Meintker, et al.
Patterns (2021) Vol. 2, Iss. 10, pp. 100351-100351
Open Access | Times Cited: 19
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: 7
Perakende Sektöründe Makine Öğrenmesi Algoritmalarının Karşılaştırmalı Performans Analizi: Black Friday Satış Tahminlemesi
Vahid Sinap
Selçuk Üniversitesi Sosyal Bilimler Meslek Yüksekokulu dergisi (2024) Vol. 27, Iss. 1, pp. 65-90
Open Access | Times Cited: 2
Exploring Pattern of Relapse in Pediatric Patients with Acute Lymphocytic Leukemia and Acute Myeloid Leukemia Undergoing Stem Cell Transplant Using Machine Learning Methods
David C. Shyr, Bing Zhang, Gopin Saini, et al.
(2024)
Open Access | Times Cited: 2
Artificial Intelligence to Detect Meibomian Gland Dysfunction From in-vivo Laser Confocal Microscopy
Yeye Zhang, Hui Zhao, Jinyan Lin, et al.
Frontiers in Medicine (2021) Vol. 8
Open Access | Times Cited: 16
The future of research in hematology: Integration of conventional studies with real-world data and artificial intelligence
Francesco Passamonti, Giovanni Corrao, Gastone Castellani, et al.
Blood Reviews (2021) Vol. 54, pp. 100914-100914
Closed Access | Times Cited: 16
Predicting Risk through Artificial Intelligence Based on Machine Learning Algorithms: A Case of Pakistani Nonfinancial Firms
Shamsa Khalid, Muhammad Anees Khan, Mazliham Mohd Su’ud, et al.
Complexity (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 12
Combining imaging flow cytometry and machine learning for high-throughput schistocyte quantification: A SVM classifier development and external validation cohort
Julien Demagny, Camille Roussel, Maïlys Le Guyader, et al.
EBioMedicine (2022) Vol. 83, pp. 104209-104209
Open Access | Times Cited: 12
Diagnosis Based on Population Data versus Personalized Data: The Evolving Paradigm in Laboratory Medicine
Abdurrahman Coşkun
Diagnostics (2024) Vol. 14, Iss. 19, pp. 2135-2135
Open Access | Times Cited: 2

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