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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:

Convergent learning–based model for leukemia classification from gene expression
Pradeep Kumar Mallick, Saumendra Kumar Mohapatra, Gyoo‐Soo Chae, et al.
Personal and Ubiquitous Computing (2020) Vol. 27, Iss. 3, pp. 1103-1110
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

A Systematic Review on Recent Advancements in Deep and Machine Learning Based Detection and Classification of Acute Lymphoblastic Leukemia
Pradeep Kumar Das, Vora Diya, Sukadev Meher, et al.
IEEE Access (2022) Vol. 10, pp. 81741-81763
Open Access | Times Cited: 90
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
Gene selection of microarray data using Heatmap Analysis and Graph Neural Network
Soumen Kumar Pati, Ayan Banerjee, Sweta Manna
Applied Soft Computing (2023) Vol. 135, pp. 110034-110034
Closed Access | Times Cited: 14
Effective dimensionality reduction model with machine learning classification for microarray gene expression data
Yakub Kayode Saheed
Elsevier eBooks (2023), pp. 153-164
Closed Access | Times Cited: 14
Leukemia Diagnosis using Machine Learning Classifiers based on MRMR Feature Selection
Sipan M. Hameed, Walat A. Ahmed, Masood A. Othman
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 4, pp. 15614-15619
Open Access | Times Cited: 4
BiPoP: Bipolar Disorder Optimized Preprocessing Framework for Stress Disorder Identification through Gene Expression Data using Deep Learning
M. Sarala Shobini, M. Sudha
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 2, pp. 22126-22130
Open Access
Transfer Learning in Cancer Genetics, Mutation Detection, Gene Expression Analysis, and Syndrome Recognition
Hamidreza Ashayeri, Navid Sobhi, Paweł Pławiak, et al.
Cancers (2024) Vol. 16, Iss. 11, pp. 2138-2138
Open Access | Times Cited: 3
Leukemia detection and classification using computer-aided diagnosis system with falcon optimization algorithm and deep learning
Turky Omar Asar, Mahmoud Ragab
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Optimal gene therapy network: Enhancing cancer classification through advanced AI-driven gene expression analysis
Tulasi Raju Nethala, Bidush Kumar Sahoo, P. Srinivasulu
e-Prime - Advances in Electrical Engineering Electronics and Energy (2024) Vol. 7, pp. 100449-100449
Open Access | Times Cited: 2
Multi-Classifier Analysis of Leukemia Gene Expression From Curated Microarray Database (CuMiDa)
Sachin Patel, Himani Patel, Dhairya Vyas, et al.
2021 2nd International Conference on Smart Electronics and Communication (ICOSEC) (2021), pp. 1174-1178
Closed Access | Times Cited: 14
Blood-based gene-expression biomarkers identification for the non-invasive diagnosis of Parkinson’s disease using two-layer hybrid feature selection
Jisha Augustine, A. S. Jereesh
Gene (2022) Vol. 823, pp. 146366-146366
Closed Access | Times Cited: 8
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
Cancer Classification from Gene Expression Using Ensemble Learning with an Influential Feature Selection Technique
Nusrath Tabassum, Md Abdus Samad Kamal, M. A. H. Akhand, et al.
BioMedInformatics (2024) Vol. 4, Iss. 2, pp. 1275-1288
Open Access | Times Cited: 1
Modeling of the Acute Lymphoblastic Leukemia Detection by Convolutional Neural Networks (CNNs)
Annal A. Albeeshi, Hanan Alshanbari
Current Medical Imaging Formerly Current Medical Imaging Reviews (2022) Vol. 19, Iss. 7
Closed Access | Times Cited: 5
The evaluation of denoising techniques on microscopic blood smear images of Acute Lymphoblastic Leukemia (ALL)
Jayesh Gangadhar Shinde, R Srivaramangai
Open Access Research Journal of Engineering and Technology (2023) Vol. 4, Iss. 2, pp. 024-035
Open Access | Times Cited: 2
Big data analytics enabled deep convolutional neural network for the diagnosis of cancer
Joseph Bamidele Awotunde, Ranjit Panigrahi, Shubham Shukla, et al.
Knowledge and Information Systems (2023) Vol. 66, Iss. 2, pp. 905-931
Closed Access | Times Cited: 2
Morphological diagnosis of hematologic malignancy using feature fusion-based deep convolutional neural network
Dhirendra Prasad Yadav, Deepak Kumar, Anand Singh Jalal, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 2
Leukemia Detection and Classification Based on Machine Learning and CNN: A Review
Hakar Hasan Rasheed, Adnan Mohsin Abdulazeez
Indonesian Journal of Computer Science (2024) Vol. 13, Iss. 3
Open Access
Super learner model for classifying leukemia through gene expression monitoring
Sharanya Selvaraj, Alhuseen Omar Alsayed, Nor Azman Ismail, et al.
Discover Oncology (2024) Vol. 15, Iss. 1
Open Access
Elephant herding optimized features-based fast RCNN for classifying leukemia stages
Della Reasa Valiaveetil, T Kanimozhi
Technology and Health Care (2024), pp. 1-17
Closed Access
Unsupervised attention-guided domain adaptation model for Acute Lymphocytic Leukemia (ALL) diagnosis
Yusuf Yargı Baydi̇lli̇
Biomedical Signal Processing and Control (2024) Vol. 101, pp. 107159-107159
Closed Access
Deep learning insights into transcriptomics and gene expression patterns analysis
Tatemitsu Rai, Aksa Saji, Sheetal Bisa, et al.
Elsevier eBooks (2024), pp. 47-59
Closed Access
Advanced Cancer Classification Using AI and Pattern Recognition Techniques
Sara Haddou Bouazza, Jihad Haddou Bouazza
ITM Web of Conferences (2024) Vol. 69, pp. 02001-02001
Open Access
Experimental Analysis of Deep Learning Techniques for Leukemia Cancer Classification using Micro Gene Array Dataset
Shahab Fatima, Sidra Sultana, Nazia Perwaiz, et al.
(2024), pp. 1-6
Closed Access
Application of ensemble learning–based classifiers for genetic expression data classification
Saumendra Kumar Mohapatra, Abhishek Das, Mihir Narayan Mohanty
Elsevier eBooks (2023), pp. 11-23
Closed Access | Times Cited: 1
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