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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 Effective of Ensemble Boosting Learning Method for Breast Cancer Virtual Screening Using Neural Network Model
Ahmed Hamza Osman, Hani Moaiteq Aljahdali
IEEE Access (2020) Vol. 8, pp. 39165-39174
Open Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Breast Tumor Classification Using an Ensemble Machine Learning Method
Adel Assiri, Saima Nazir, Sergio A. Velastín
Journal of Imaging (2020) Vol. 6, Iss. 6, pp. 39-39
Open Access | Times Cited: 149
Detection of Breast Cancer Through Clinical Data Using Supervised and Unsupervised Feature Selection Techniques
Amin Ul Haq, Jianping Li, Abdus Saboor, et al.
IEEE Access (2021) Vol. 9, pp. 22090-22105
Open Access | Times Cited: 71
Optimized Stacking Ensemble Learning Model for Breast Cancer Detection and Classification Using Machine Learning
Mukesh Kumar, Saurabh Singhal, Shashi Shekhar, et al.
Sustainability (2022) Vol. 14, Iss. 21, pp. 13998-13998
Open Access | Times Cited: 50
Analysis of the Ultrasonic Signal in Polymeric Contaminated Insulators Through Ensemble Learning Methods
Stéfano Frizzo Stefenon, Rafael Bruns, Andreza Sartori, et al.
IEEE Access (2022) Vol. 10, pp. 33980-33991
Open Access | Times Cited: 49
Breast cancer prediction based on neural networks and extra tree classifier using feature ensemble learning
Deepti Sharma, Rajneesh Kumar, Anurag Jain
Measurement Sensors (2022) Vol. 24, pp. 100560-100560
Open Access | Times Cited: 40
Breast cancer classification using Deep Q Learning (DQL) and gorilla troops optimization (GTO)
Saad Almutairi, S. Manimurugan, Byung‐Gyu Kim, et al.
Applied Soft Computing (2023) Vol. 142, pp. 110292-110292
Closed Access | Times Cited: 30
A comprehensive investigation of multimodal deep learning fusion strategies for breast cancer classification
Fatima-Zahrae Nakach, Ali Idri, Evgin Göçeri
Artificial Intelligence Review (2024) Vol. 57, Iss. 12
Open Access | Times Cited: 10
A Breast Cancer Diagnosis Method Based on VIM Feature Selection and Hierarchical Clustering Random Forest Algorithm
Zexian Huang, Daqi Chen
IEEE Access (2021) Vol. 10, pp. 3284-3293
Open Access | Times Cited: 55
An intelligent ensemble classification method based on multi-layer perceptron neural network and evolutionary algorithms for breast cancer diagnosis
Saeed Talatian Azad, Gholamreza Ahmadi, Amin Rezaeipanah
Journal of Experimental & Theoretical Artificial Intelligence (2021) Vol. 34, Iss. 6, pp. 949-969
Closed Access | Times Cited: 42
SOM-LWL method for identification of COVID-19 on chest X-rays
Ahmed Hamza Osman, Hani Moaiteq Aljahdali, Sultan Menwer Altarrazi, et al.
PLoS ONE (2021) Vol. 16, Iss. 2, pp. e0247176-e0247176
Open Access | Times Cited: 34
Breast Tumor Detection Using Robust and Efficient Machine Learning and Convolutional Neural Network Approaches
Mohammad Monirujjaman Khan, Tahia Tazin, Mohammad Zunaid Hussain, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 21
Breast cancer classification using snapshot ensemble deep learning model and t-distributed stochastic neighbor embedding
Nonita Sharma, K Sharma, Monika Mangla, et al.
Multimedia Tools and Applications (2022) Vol. 82, Iss. 3, pp. 4011-4029
Closed Access | Times Cited: 21
Process mining and data mining applications in the domain of chronic diseases: A systematic review
K.C. Chen, Farhad Abtahi, Juan Jesús Carrero, et al.
Artificial Intelligence in Medicine (2023) Vol. 144, pp. 102645-102645
Open Access | Times Cited: 12
Performance Analysis of Averaged Perceptron Machine Learning Classifier for Breast Cancer Detection
Vijay Birchha, Bhawna Nigam
Procedia Computer Science (2023) Vol. 218, pp. 2181-2190
Open Access | Times Cited: 11
VELM: a voting based ensemble learning model for breast cancer prediction
Archana Singh, Kuldeep Singh Kaswan, Rajani Rajani
Physica Scripta (2025) Vol. 100, Iss. 2, pp. 026002-026002
Closed Access
Evaluation of Bagging Ensembles on Multimodal Data for Breast Cancer Diagnosis
Abdulganiyu Jimoh, Fatima-Zahrae Nakach, Ali Idri, et al.
Lecture notes in computer science (2025), pp. 1-12
Closed Access
Learning Features Using an optimized Artificial Neural Network for Breast Cancer Diagnosis
Ibrahim Al-Shourbaji, Pramod Kachare, Waleed Abdu Zogaan, et al.
SN Computer Science (2022) Vol. 3, Iss. 3
Closed Access | Times Cited: 16
Assessing Classical and Evolutionary Preprocessing Approaches for Breast Cancer Diagnosis
Amir Hussein Ataei Monfared, Keivan Borna
(2024)
Closed Access | Times Cited: 3
Intelligent breast cancer diagnostic system empowered by deep extreme gradient descent optimization
Muhammad Bilal Khan, Atta Rahman, Muhammad Saqib Nawaz, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 8, pp. 7978-8002
Open Access | Times Cited: 15
Convolutional Neural Network-Based Approach to Detect COVID-19 from Chest X-Ray Images
P. Pandiaraja, K. Muthumanickam
Lecture notes in networks and systems (2022), pp. 231-245
Closed Access | Times Cited: 15
Classification of Pathologies on Medical Images Using the Algorithm of Random Forest of Optimal-Complexity Trees
Віталій Бабенко, Євген Настенко, Vladimir Pavlov, et al.
Cybernetics and Systems Analysis (2023) Vol. 59, Iss. 2, pp. 346-358
Closed Access | Times Cited: 8
Resource saving via ensemble techniques for quantum neural networks
Massimiliano Incudini, Michele Grossi, Andrea Ceschini, et al.
Quantum Machine Intelligence (2023) Vol. 5, Iss. 2
Open Access | Times Cited: 7
Classification of mammograms using adaptive binary TLBO with ensemble classifier for early detection of breast cancer
L. Kanya Kumari, B. N. Jagadesh
International Journal of Information Technology (2022) Vol. 14, Iss. 7, pp. 3579-3590
Closed Access | Times Cited: 12
Hybrid deep boosting ensembles for histopathological breast cancer classification
Fatima-Zahrae Nakach, Hasnae Zerouaoui, Ali Idri
Health and Technology (2022) Vol. 12, Iss. 6, pp. 1043-1060
Closed Access | Times Cited: 11
An Extensive Review on Emerging Advancements in Thermography and Convolutional Neural Networks for Breast Cancer Detection
Jayagayathri Iyadurai, Mythili Chandrasekharan, Suresh Muthusamy, et al.
Wireless Personal Communications (2024) Vol. 137, Iss. 3, pp. 1797-1821
Closed Access | Times Cited: 2
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