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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 improved ensemble pruning for mammogram classification using modified Bees algorithm
Ashwaq Qasem, Siti Norul Huda Sheikh Abdullah, Shahnorbanun Sahran, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 12, pp. 10093-10116
Closed Access | Times Cited: 25

Showing 25 citing articles:

Automated breast cancer detection in mammography using ensemble classifier and feature weighting algorithms
Fei Yan, Hesheng Huang, Witold Pedrycz, et al.
Expert Systems with Applications (2023) Vol. 227, pp. 120282-120282
Closed Access | Times Cited: 41
Novel hybrid of AOA-BSA with double adaptive and random spare for global optimization and engineering problems
Fatma A. Hashim, Ruba Abu Khurma, Dheeb Albashish, et al.
Alexandria Engineering Journal (2023) Vol. 73, pp. 543-577
Open Access | Times Cited: 19
Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images
Dheeb Albashish
PeerJ Computer Science (2022) Vol. 8, pp. e1031-e1031
Open Access | Times Cited: 26
Transformative Advances in AI for Precise Cancer Detection: A Comprehensive Review of Non-Invasive Techniques
Hari Mohan, Joon Yoo, Serhii Dashkevych
Archives of Computational Methods in Engineering (2025)
Closed Access
A new hybrid fuzzy bio-inspired classifier for cancer detection using cuckoo optimization and hyper-planes
Majid Abdolrazzagh-Nezhad, Shaghayegh Izadpanah
Data Technologies and Applications (2025)
Closed Access
Computational model for breast cancer diagnosis using HFSE framework
Deepa Kumari, Pavan Kumar Reddy Yannam, Isha Nilesh Gohel, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105121-105121
Closed Access | Times Cited: 9
Classifier subset selection based on classifier representation and clustering ensemble
Danyang Li, Zhuhong Zhang, Guihua Wen
Applied Intelligence (2023) Vol. 53, Iss. 18, pp. 20730-20752
Closed Access | Times Cited: 8
An enhanced salp swarm optimizer boosted by local search algorithm for modelling prediction problems in software engineering
Sofian Kassaymeh, Salwani Abdullah, Mohammed Azmi Al‐Betar, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S3, pp. 3877-3925
Closed Access | Times Cited: 8
Ensemble of Deep Features for Breast Cancer Histopathological Image Classification
Jaffar Atwan, Nedaa Almansour, Mohammad Hashem Ryalat, et al.
The Computer Journal (2024) Vol. 67, Iss. 6, pp. 2126-2136
Closed Access | Times Cited: 2
Multi-Strategy Improved Northern Goshawk Optimization Algorithm and Application
F Zhang
IEEE Access (2024) Vol. 12, pp. 34247-34264
Open Access | Times Cited: 2
Advancements in traditional machine learning techniques for detection and diagnosis of fatal cancer types: Comprehensive review of biomedical imaging datasets
Hari Mohan, Joon Yoo, Syed Atif Moqurrab, et al.
Measurement (2023) Vol. 225, pp. 114059-114059
Closed Access | Times Cited: 5
An efficient semi-dynamic ensemble pruning method for facial expression recognition
Danyang Li, Guihua Wen, Zhuhong Zhang
Multimedia Tools and Applications (2024) Vol. 83, Iss. 30, pp. 73923-73956
Closed Access | Times Cited: 1
SRENet: Structure recovery ensemble network for single image deraining
Dan Zhang, Yingbing Xu, Liyan Ma, et al.
Applied Intelligence (2024) Vol. 54, Iss. 5, pp. 4425-4442
Closed Access | Times Cited: 1
Enhancing disease diagnosis accuracy and diversity through BA-TLBO optimized ensemble learning
Srinivas Arukonda, Ramalingaswamy Cheruku, Vijayasree Boddu
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106507-106507
Closed Access | Times Cited: 1
A depth analysis of recent innovations in non-invasive techniques using artificial intelligence approach for cancer prediction
Hari Mohan, Joon Yoo, Abdul Razaque
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 12, pp. 3555-3580
Closed Access | Times Cited: 1
Determinants of effectiveness of lean healthcare performance in Malaysian public hospitals
Kim Yoke Ong, Suhaiza Zailani, Kanagi Kanapathy, et al.
The TQM Journal (2022) Vol. 35, Iss. 7, pp. 1815-1829
Closed Access | Times Cited: 7
SWEP-RF: Accuracy sliding window-based ensemble pruning method for latent sector error prediction in cloud storage computing
Adnan Tahir, Fei Chen, Abdulwahab Ali Almazroi, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 8, pp. 101672-101672
Open Access | Times Cited: 2
A Novel Heuristic-Based Selective Ensemble Prediction Method for Digital Financial Fraud Risk
Pingfan Xia, Xuhui Zhu, Vincent Charles, et al.
IEEE Transactions on Engineering Management (2024) Vol. 71, pp. 8002-8018
Open Access
A New Fuzzy Bio-Inspired Based Classification to Cancer Detection
Majid Abdolrazzagh-Nezhad, Shaghayegh Izadpanah
Research Square (Research Square) (2023)
Open Access
Peer Review #3 of "Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images (v0.1)"
Dheeb Albashish
(2022)
Open Access
Peer Review #2 of "Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images (v0.1)"
Dheeb Albashish
(2022)
Open Access
Peer Review #1 of "Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images (v0.2)"
YS Taspinar
(2022)
Open Access
Peer Review #2 of "Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images (v0.2)"
Dheeb Albashish
(2022)
Open Access
Peer Review #3 of "Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images (v0.2)"
Dheeb Albashish
(2022)
Open Access
Peer Review #1 of "Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images (v0.1)"
YS Taspinar
(2022)
Open Access
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