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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:

An efficient computer vision-based approach for acute lymphoblastic leukemia prediction
Ahmad Almadhor, Usman Sattar, Abdullah Al Hejaili, et al.
Frontiers in Computational Neuroscience (2022) Vol. 16
Open Access | Times Cited: 14

Showing 14 citing articles:

Hybrid Techniques for the Diagnosis of Acute Lymphoblastic Leukemia Based on Fusion of CNN Features
Ibrahim Abdulrab Ahmed, Ebrahim Mohammed Senan, Hamzeh Salameh Ahmad Shatnawi, et al.
Diagnostics (2023) Vol. 13, Iss. 6, pp. 1026-1026
Open Access | Times Cited: 25
Computer-Aided Diagnosis System for Blood Diseases Using EfficientNet-B3 Based on a Dynamic Learning Algorithm
Sameh Abd El-Ghany, Mohammed Elmogy, A. A. Abd El-Aziz
Diagnostics (2023) Vol. 13, Iss. 3, pp. 404-404
Open Access | Times Cited: 24
A Framework for Early Detection of Acute Lymphoblastic Leukemia and Its Subtypes From Peripheral Blood Smear Images Using Deep Ensemble Learning Technique
Sajida Perveen, Abdullah Alourani, Muhammad Shahbaz, et al.
IEEE Access (2024) Vol. 12, pp. 29252-29268
Open Access | Times Cited: 7
Computational Modelling and Simulation of Scaffolds for Bone Tissue Engineering
Haja-Sherief N Musthafa, Jason Walker, Mariusz Domagała
Computation (2024) Vol. 12, Iss. 4, pp. 74-74
Open Access | Times Cited: 5
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
An improved multiclass classification of acute lymphocytic leukemia using enhanced glowworm swarm optimization
N. Naga Saranya, M. Kalamani
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Deep learning-based blood cell classification from microscopic images for haematological disorder identification
Nalini S. Jagtap, Varsha Bodade, Vijayalaxmi Kadrolli, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 3
Acute lymphoblastic leukemia detection using ensemble features from multiple deep CNN models
Ahmed Abul Hasanaath, Abdul Sami Mohammed, Ghazanfar Latif, et al.
Electronic Research Archive (2024) Vol. 32, Iss. 4, pp. 2407-2423
Open Access | Times Cited: 1
Acute Lymphoblastic Leukemia Detection Employing Deep Learning and Transfer Learning Techniques
Naveen Ghorpade, Ajay Sudhir Bale, Santosh Suman, et al.
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2024), pp. 1-6
Closed Access | Times Cited: 1
Hybrid Feature-Learning-Based PSO-PCA Feature Engineering Approach for Blood Cancer Classification
Ghada Atteia, Rana Alnashwan, Malak Hassan
Diagnostics (2023) Vol. 13, Iss. 16, pp. 2672-2672
Open Access | Times Cited: 2
A Comprehensive Assessment and Classification of Acute Lymphocytic Leukemia
Payal Bose, Samir Kumar Bandyopadhyay
Mathematical and Computational Applications (2024) Vol. 29, Iss. 3, pp. 45-45
Open Access
Leukemia Insight: Illuminating Current Diagnoses and Forecasting Futures with Machine Learning
Sunita Gupta, Neha Janu, Neha Shrotriya
Communications in computer and information science (2024), pp. 1-15
Closed Access
A Robust EfficientNetV2-S Classifier for Predicting Acute Lymphoblastic Leukemia Based on Cross Validation
A. A. Abd El-Aziz, Mahmood A. Mahmood, Sameh Abd El-Ghany
Symmetry (2024) Vol. 17, Iss. 1, pp. 24-24
Open Access
Decoding Acute Lymphoblastic Leukemia: Insights from Convolutional Neural Networks and Pretrained Model
Jason Hendrawan, Jonathan Adrian, Verrel Juanto Lukmana, et al.
2022 4th International Conference on Cybernetics and Intelligent System (ICORIS) (2023), pp. 1-5
Closed Access | Times Cited: 1
Leukemia Cancer Classification from Abnormal Cell Images Using a Deep Learning Approach: A Comprehensive Study
Sadia Afrin, Subrata Kumer Paul, Rakhi Rani Paul, et al.
(2023), pp. 1-5
Closed Access
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