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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 1-25 of 97 citing articles:

Deep Learning Model for the Automatic Classification of White Blood Cells
Sarang Sharma, Sheifali Gupta, Deepali Gupta, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 148
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
Recent advances of liquid biopsy: Interdisciplinary strategies toward clinical decision‐making
Han Bao, Li Min, Fanqin Bu, et al.
Deleted Journal (2023) Vol. 1, Iss. 4
Open Access | Times Cited: 45
Current Perspectives of Protein in Bone Tissue Engineering: Bone Structure, Ideal Scaffolds, Fabrication Techniques, Applications, Scopes, and Future Advances
Muhammad Umar Aslam Khan, Muhammad Azhar Aslam, Mohd Faizal Abdullah, et al.
ACS Applied Bio Materials (2024) Vol. 7, Iss. 8, pp. 5082-5106
Closed Access | Times Cited: 19
A Systematic Review on Acute Leukemia Detection Using Deep Learning Techniques
Rohini Raina, Naveen Kumar Gondhi, Chaahat, et al.
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 1, pp. 251-270
Closed Access | Times Cited: 41
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
Deep Learning for the Detection of Acute Lymphoblastic Leukemia Subtypes on Microscopic Images: A Systematic Literature Review
Tanzilal Mustaqim, Chastine Fatichah, Nanik Suciati
IEEE Access (2023) Vol. 11, pp. 16108-16127
Open Access | Times Cited: 28
White blood cells classification using multi-fold pre-processing and optimized CNN model
Oumaima Saidani, Muhammad Umer, Nazik Alturki, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 11
Applications of Artificial Intelligence in Acute Promyelocytic Leukemia: An Avenue of Opportunities? A Systematic Review
Mihnea‐Alexandru Găman, Monica Dugăeșescu, Dragoş-Claudiu Popescu
Journal of Clinical Medicine (2025) Vol. 14, Iss. 5, pp. 1670-1670
Open 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
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: 31
Artificial intelligence-based prediction models for acute myeloid leukemia using real-life data: A DATAML registry study
Ibrahim Didi, Jean‐Marc Alliot, Pierre‐Yves Dumas, et al.
Leukemia Research (2024) Vol. 136, pp. 107437-107437
Open Access | Times Cited: 7
Hematologic cancer diagnosis and classification using machine and deep learning: State-of-the-art techniques and emerging research directives
Hema J Patel, Himal Shah, Gayatri Patel, et al.
Artificial Intelligence in Medicine (2024) Vol. 152, pp. 102883-102883
Closed Access | Times Cited: 6
Automatic normalized digital color staining in the recognition of abnormal blood cells using generative adversarial networks
Kevin Barrera, José Rodellar, Santiago Alférez, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 240, pp. 107629-107629
Open Access | Times Cited: 13
ResRandSVM: Hybrid Approach for Acute Lymphocytic Leukemia Classification in Blood Smear Images
Adel Sulaiman, Swapandeep Kaur, Sheifali Gupta, et al.
Diagnostics (2023) Vol. 13, Iss. 12, pp. 2121-2121
Open Access | Times Cited: 13
Multiscale adaptive and attention-dilated convolutional neural network for efficient leukemia detection model with multiscale trans-res-Unet3+ -based segmentation network
K Gokulkannan, T A Mohanaprakash, J. DafniRose, et al.
Biomedical Signal Processing and Control (2024) Vol. 90, pp. 105847-105847
Closed Access | Times Cited: 5
A review on leukemia detection and classification using Artificial Intelligence-based techniques
Aswathy Elma Aby, S. Salaji, K. Anilkumar, et al.
Computers & Electrical Engineering (2024) Vol. 118, pp. 109446-109446
Closed Access | Times Cited: 5
Identification of Anemia and Its Severity Level in a Peripheral Blood Smear Using 3-Tier Deep Neural Network
Muhammad Shahzad, Arif Iqbal Umar, Syed Hamad Shirazi, et al.
Applied Sciences (2022) Vol. 12, Iss. 10, pp. 5030-5030
Open Access | Times Cited: 20
Automatic classification and segmentation of blast cells using deep transfer learning and active contours
Divine Senanu Ametefe, Suzi Seroja Sarnin, Darmawaty Mohd Ali, et al.
International Journal of Laboratory Hematology (2024) Vol. 46, Iss. 5, pp. 837-849
Closed Access | Times Cited: 4
A deep learning approach for automatic recognition of abnormalities in the cytoplasm of neutrophils
Kevin Barrera, José Rodellar, Santiago Alférez, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108691-108691
Open Access | Times Cited: 4
Application of image recognition technology in pathological diagnosis of blood smears
Wangxinjun Cheng, Jingshuang Liu, Chaofeng Wang, et al.
Clinical and Experimental Medicine (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
An Efficient Acute Lymphoblastic Leukemia Screen Framework Based on Multi‐Modal Deep Neural Network
Qiuming Wang, Tao Huang, Xiaojuan Luo, et al.
International Journal of Laboratory Hematology (2025)
Closed Access
The effectiveness of using artificial intelligence in clinical medicine
D. I. Korabelnikov, A. I. Lamotkin
FARMAKOEKONOMIKA Modern Pharmacoeconomics and Pharmacoepidemiology (2025)
Open Access
Ensemble of CNNs for Enhanced Leukocyte Classification in Acute Myeloid Leukemia Diagnosis
Leonardo P. Sousa, Romuere Silva, Maíla L. Claro, et al.
Lecture notes in computer science (2025), pp. 399-413
Closed Access
Massive Spontaneous Right Hemothorax Revealing Acute Myeloid Leukemia: A Case Report and Literature Review
Said Khallikane, Amine Bentahar, Mohamed Reda, et al.
Cureus (2025)
Open Access
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