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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:

Medical Internet-of-Things Based Breast Cancer Diagnosis Using Hyperparameter-Optimized Neural Networks
Roseline Oluwaseun Ogundokun, Sanjay Misra, Mychal Douglas, et al.
Future Internet (2022) Vol. 14, Iss. 5, pp. 153-153
Open Access | Times Cited: 82

Showing 1-25 of 82 citing articles:

On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks
Saeed Iqbal, Adnan N. Qureshi, Jianqiang Li, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3173-3233
Open Access | Times Cited: 78
A Hybrid Dependable Deep Feature Extraction and Ensemble-Based Machine Learning Approach for Breast Cancer Detection
Selina Sharmin, Tanvir Ahammad, Md. Alamin Talukder, et al.
IEEE Access (2023) Vol. 11, pp. 87694-87708
Open Access | Times Cited: 57
Effective Handling of Missing Values in Datasets for Classification Using Machine Learning Methods
Ashokkumar Palanivinayagam, Robertas Damaševičius
Information (2023) Vol. 14, Iss. 2, pp. 92-92
Open Access | Times Cited: 41
A New Optimization Model for MLP Hyperparameter Tuning: Modeling and Resolution by Real-Coded Genetic Algorithm
Fatima Zahrae El-Hassani, Meryem Amri, Nour‐Eddine Joudar, et al.
Neural Processing Letters (2024) Vol. 56, Iss. 2
Open Access | Times Cited: 12
Application of response surface and artificial neural network optimization approaches for exploring methylene blue adsorption using luffa fiber treated with sodium chlorite
L. Natrayan, V. R. Niveditha, V. Swamy Nadh, et al.
Journal of Water Process Engineering (2024) Vol. 58, pp. 104778-104778
Closed Access | Times Cited: 9
An Efficient Optimization System for Early Breast Cancer Diagnosis based on Internet of Medical Things and Deep Learning
Amna Naz, Hamayun Khan, Irfan Ud Din, et al.
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 4, pp. 15957-15962
Open Access | Times Cited: 7
Human Posture Detection Using Image Augmentation and Hyperparameter-Optimized Transfer Learning Algorithms
Roseline Oluwaseun Ogundokun, Rytis Maskeliūnas, Robertas Damaševičius
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 10156-10156
Open Access | Times Cited: 28
A blockchain-enabled internet of medical things system for breast cancer detection in healthcare
Sushovan Chaudhury, Kartik Sau
Healthcare Analytics (2023) Vol. 4, pp. 100221-100221
Open Access | Times Cited: 19
Enhancing Skin Cancer Detection and Classification in Dermoscopic Images through Concatenated MobileNetV2 and Xception Models
Roseline Oluwaseun Ogundokun, Aiman Li, Ronke Seyi Babatunde, et al.
Bioengineering (2023) Vol. 10, Iss. 8, pp. 979-979
Open Access | Times Cited: 19
A Secure Internet of Medical Things Framework for Breast Cancer Detection in Sustainable Smart Cities
Theyazn H. H. Aldhyani, Mohammad Ayoub Khan, Mohammed Amin Almaiah, et al.
Electronics (2023) Vol. 12, Iss. 4, pp. 858-858
Open Access | Times Cited: 17
Enhancing Breast Cancer Classification in Histopathological Images through Federated Learning Framework
Jyothi Peta, Srinivas Koppu
IEEE Access (2023) Vol. 11, pp. 61866-61880
Open Access | Times Cited: 17
Deep Learning in Different Ultrasound Methods for Breast Cancer, from Diagnosis to Prognosis: Current Trends, Challenges, and an Analysis
Humayra Afrin, Nicholas B. Larson, Mostafa Fatemi, et al.
Cancers (2023) Vol. 15, Iss. 12, pp. 3139-3139
Open Access | Times Cited: 16
SNSVM: SqueezeNet-Guided SVM for Breast Cancer Diagnosis
Jiaji Wang, Muhammad Attique Khan, Shuihua Wang‎, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 76, Iss. 2, pp. 2201-2216
Open Access | Times Cited: 16
A bio-inspired convolution neural network architecture for automatic breast cancer detection and classification using RNA-Seq gene expression data
Tehnan I. A. Mohamed, Absalom E. Ezugwu, Jean Vincent Fonou-Dombeu, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 15
Bilevel Hyperparameter Optimization and Neural Architecture Search for Enhanced Breast Cancer Detection in Smart Hospitals Interconnected With Decentralized Federated Learning Environment
Salabat Khan, Fariha Nosheen, Syed Naqvi, et al.
IEEE Access (2024) Vol. 12, pp. 63618-63628
Open Access | Times Cited: 5
Machine learning framework for breast cancer detection with feature selection with L2 ridge regularization: insights from multiple datasets
K. Premalatha, D Devi, K. Sivakumar
Journal of Translational Genetics and Genomics (2025) Vol. 9, Iss. 1, pp. 11-34
Open Access
Transforming Healthcare With AIoT
G. D. Soumya, P. V. Bhuvaneshwari, R. Alice Josephine, et al.
Advances in medical technologies and clinical practice book series (2025), pp. 159-220
Closed Access
AI-enabled IoMT for smart cancer care: plausible use cases, key challenges, and future road map
Partha Pratim Ray
Elsevier eBooks (2025), pp. 377-397
Closed Access
Enhancing machine learning performance in cardiac surgery ICU: Hyperparameter optimization with metaheuristic algorithm
Ali Bahrami, Morteza Rakhshaninejad, Rouzbeh Ghousi, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0311250-e0311250
Open Access
Medical Image Classification Using Transfer Learning and Chaos Game Optimization on the Internet of Medical Things
Alhassan Mabrouk, Abdelghani Dahou, Mohamed Abd Elaziz, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-22
Open Access | Times Cited: 22
Comparative evaluation of automated machine learning techniques for breast cancer diagnosis
Amr E. Eldin Rashed, Ashraf M. Elmorsy, Ahmed E. Mansour Atwa
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105016-105016
Closed Access | Times Cited: 14
Histopathological Image Diagnosis for Breast Cancer Diagnosis Based on Deep Mutual Learning
Amandeep Kaur, Chetna Kaushal, Jasjeet Kaur Sandhu, et al.
Diagnostics (2023) Vol. 14, Iss. 1, pp. 95-95
Open Access | Times Cited: 14
Effective kernel‐principal component analysis based approach for wisconsin breast cancer diagnosis
Zohaib Mushtaq, Muhammad Farrukh Qureshi, Muhammad Jamshed Abbass, et al.
Electronics Letters (2023) Vol. 59, Iss. 2
Open Access | Times Cited: 13
IoMT Meets Machine Learning: From Edge to Cloud Chronic Diseases Diagnosis System
Natasha Nigar, Abdul Jaleel, Shahid Islam, et al.
Journal of Healthcare Engineering (2023) Vol. 2023, pp. 1-13
Open Access | Times Cited: 12
Perspective of point-of-care sensing systems in cancer management
Kamil Reza Khondakar, Muhammad Shoaib Anwar, Hirak Mazumdar, et al.
Materials Advances (2023) Vol. 4, Iss. 21, pp. 4991-5002
Open Access | Times Cited: 12
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