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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:

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

Showing 26-50 of 97 citing articles:

Towards Diagnostic Intelligent Systems in Leukemia Detection and Classification: A Systematic Review and Meta‐analysis
Mehrad Aria, Zohreh Javanmard, Donia Pishdad, et al.
Journal of Evidence-Based Medicine (2025) Vol. 18, Iss. 1
Open Access
Optimizing deep learning for accurate blood cell classification: A study on stain normalization and fine-tuning techniques
Mohammed Tareq Mutar, Jaffar N. Jaffar Alalsaidissa, Mustafa Majid Hameed, et al.
Iraqi Journal of Hematology (2025)
Open Access
Optimal Deep Transfer Learning-Based Human-Centric Biomedical Diagnosis for Acute Lymphoblastic Leukemia Detection
Manar Ahmed Hamza, Amani Abdulrahman Albraikan, Jaber S. Alzahrani, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 17
Deep learning enhances acute lymphoblastic leukemia diagnosis and classification using bone marrow images
Basel Elsayed, Mohamed Elhadary, Raghad Mohamed Elshoeibi, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 10
A review on computer aided detection and classification of leukemia
K. Anilkumar, Vasupalli Manoj, Tomer Sagi
Multimedia Tools and Applications (2023) Vol. 83, Iss. 6, pp. 17961-17981
Closed Access | Times Cited: 9
Schistocyte detection in artificial intelligence age
Zeng Zhang, Su Jin Yang, Xiuhong Wang
International Journal of Laboratory Hematology (2024) Vol. 46, Iss. 3, pp. 427-433
Open Access | Times Cited: 3
Automatic Classification of White Blood Cells Using a Semi-Supervised Convolutional Neural Network
Huihui Song, Zheng Wang
IEEE Access (2024) Vol. 12, pp. 44972-44983
Open Access | Times Cited: 3
A content-based image retrieval system for the diagnosis of lymphoma using blood micrographs: An incorporation of deep learning with a traditional learning approach
Reena M. Roy, P. M. Ameer
Computers in Biology and Medicine (2022) Vol. 145, pp. 105463-105463
Closed Access | Times Cited: 15
Evaluation of deep learning training strategies for the classification of bone marrow cell images
Stefan Glüge, Stefan Balabanov, Viktor H. Koelzer, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 243, pp. 107924-107924
Open Access | Times Cited: 8
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
Rapid detection of white blood cells using hyperspectral microscopic imaging system combined with Multi-data Faster RCNN
Fanyi Zeng, Zhonglin Du, Gaobin Li, et al.
Sensors and Actuators B Chemical (2023) Vol. 389, pp. 133865-133865
Closed Access | Times Cited: 7
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
A lightweight deep learning model for acute myeloid leukemia-related blast cell identification
Bing Leng, Hao Jiang, Bidou Wang, et al.
The Journal of Supercomputing (2024)
Closed Access | Times Cited: 2
Knowledge distillation-based deep learning classification network for peripheral blood leukocytes
Bing Leng, Min Leng, Mingfeng Ge, et al.
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103590-103590
Closed Access | Times Cited: 12
An Enhanced Hyper-Parameter Optimization of a Convolutional Neural Network Model for Leukemia Cancer Diagnosis in a Smart Healthcare System
Joseph Bamidele Awotunde, Agbotiname Lucky Imoize, Oluwafisayo Babatope Ayoade, et al.
Sensors (2022) Vol. 22, Iss. 24, pp. 9689-9689
Open Access | Times Cited: 12
A high-resolution large-scale dataset of pathological and normal white blood cells
Alexandra Bodzas, Pavel Kodytek, Jan Žídek
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 6
Enhancing Disease Diagnosis: A CNN-Based Approach for Automated White Blood Cell Classification
Athanasios Kanavos, Orestis Papadimitriou, Alexios Kaponis, et al.
2021 IEEE International Conference on Big Data (Big Data) (2023), pp. 4606-4613
Closed Access | Times Cited: 6
AI for Decision Support: Balancing Accuracy, Transparency, and Trust Across Sectors
Attila Kővári
Information (2024) Vol. 15, Iss. 11, pp. 725-725
Open Access | Times Cited: 2
The Potential Promise of Machine Learning in Myelodysplastic Syndrome
Valeria Visconte, Jaroslaw P. Maciejewski, Luca Guarnera
Seminars in Hematology (2024)
Closed Access | Times Cited: 2
An AI-Aided Diagnostic Framework for Hematologic Neoplasms Based on Morphologic Features and Medical Expertise
Nan Li, Liquan Fan, Hang Xu, et al.
Laboratory Investigation (2023) Vol. 103, Iss. 4, pp. 100055-100055
Open Access | Times Cited: 5
An End-to-End Pipeline for Early Diagnosis of Acute Promyelocytic Leukemia Based on a Compact CNN Model
Yifan Qiao, Yi Zhang, Nian Liu, et al.
Diagnostics (2021) Vol. 11, Iss. 7, pp. 1237-1237
Open Access | Times Cited: 12
Automated detection of bioimages using novel deep feature fusion algorithm and effective high-dimensional feature selection approach
Ritesh Maurya, Vinay K. Pathak, Radim Bürget, et al.
Computers in Biology and Medicine (2021) Vol. 137, pp. 104862-104862
Closed Access | Times Cited: 12
Microcell‐Net: A deep neural network for multi‐class classification of microscopic blood cell images
Karnika Dwivedi, Malay Kishore Dutta
Expert Systems (2023) Vol. 40, Iss. 7
Closed Access | Times Cited: 4
A robust classification of acute lymphocytic leukemia‐based microscopic images with supervised Hilbert‐Huang transform
Reem Magdy Elrefaie, Mohamed A. Mohamed, El-Said A. Marzouk, et al.
Microscopy Research and Technique (2023) Vol. 87, Iss. 2, pp. 191-204
Closed Access | Times Cited: 4
Leukemia Classification Using EfficientNetB5: A Deep Learning Approach
Aseel Alshoraihy, Anagheem Ibrahim, Housam Hasan Bou Issa
(2024), pp. 929-931
Closed Access | Times Cited: 1

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