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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:

A Machine Learning Method for Classification of Cervical Cancer
Jesse Jeremiah Tanimu, Mohamed Hamada, Mohammed Hassan, et al.
Electronics (2022) Vol. 11, Iss. 3, pp. 463-463
Open Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

Recent advancement in cancer diagnosis using machine learning and deep learning techniques: A comprehensive review
Deepak Painuli, Suyash Bhardwaj, Utku Köse
Computers in Biology and Medicine (2022) Vol. 146, pp. 105580-105580
Closed Access | Times Cited: 96
An LDA–SVM Machine Learning Model for Breast Cancer Classification
Onyinyechi Jessica Egwom, Mohammed Hassan, Jesse Jeremiah Tanimu, et al.
BioMedInformatics (2022) Vol. 2, Iss. 3, pp. 345-358
Open Access | Times Cited: 41
Cervical Cancer Diagnosis Using Intelligent Living Behavior of Artificial Jellyfish Optimized With Artificial Neural Network
Devikanniga Devarajan, D. Stalin Alex, T R Mahesh, et al.
IEEE Access (2022) Vol. 10, pp. 126957-126968
Open Access | Times Cited: 39
Improving Prediction of Cervical Cancer Using KNN Imputed SMOTE Features and Multi-Model Ensemble Learning Approach
Hanen Karamti, Raed Alharthi, Amira Al Anizi, et al.
Cancers (2023) Vol. 15, Iss. 17, pp. 4412-4412
Open Access | Times Cited: 25
Novel ensemble learning approach with SVM-imputed ADASYN features for enhanced cervical cancer prediction
Raafat M. Munshi
PLoS ONE (2024) Vol. 19, Iss. 1, pp. e0296107-e0296107
Open Access | Times Cited: 11
Improving prediction of cervical cancer using KNN imputer and multi-model ensemble learning
Turki Aljrees
PLoS ONE (2024) Vol. 19, Iss. 1, pp. e0295632-e0295632
Open Access | Times Cited: 10
An ensemble classification approach for cervical cancer prediction using behavioral risk factors
Md Shahin Ali, Md. Maruf Hossain, Moutushi Akter Kona, et al.
Healthcare Analytics (2024) Vol. 5, pp. 100324-100324
Open Access | Times Cited: 9
Machine learning (ML) techniques to predict breast cancer in imbalanced datasets: a systematic review
Arman Ghavidel, Pilar Pazos
Journal of Cancer Survivorship (2023)
Closed Access | Times Cited: 16
Ensemble Machine Learning-Based Approach to Predict Cervical Cancer with Hyperparameter Tuning and Model Explainability
Khandaker Mohammad Mohi Uddin, M. M. H. Bhuiyan, Maarouf Saad, et al.
Deleted Journal (2025)
Closed Access
An amalgamation of deep neural networks optimized with Salp swarm algorithm for cervical cancer detection
Omair Bilal, Sohaib Asif, Ming Zhao, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110106-110106
Closed Access
TransPapCanCervix: An Enhanced Transfer Learning‐Based Ensemble Model for Cervical Cancer Classification
Barkha Bhavsar, Bela Shrimali
Computational Intelligence (2025) Vol. 41, Iss. 1
Closed Access
Cervical Cancer Diagnosis Using an Integrated System of Principal Component Analysis, Genetic Algorithm, and Multilayer Perceptron
Odai Y. Dweekat, Sarah S. Lam
Healthcare (2022) Vol. 10, Iss. 10, pp. 2002-2002
Open Access | Times Cited: 22
IoT based smart framework to predict air quality in congested traffic areas using SV-CNN ensemble and KNN imputation model
Khaled Alnowaiser, Aisha Ahmed Alarfaj, Ebtisam Alabdulqader, et al.
Computers & Electrical Engineering (2024) Vol. 118, pp. 109311-109311
Open Access | Times Cited: 4
Predicting cervical cancer biopsy results using demographic and epidemiological parameters: a custom stacked ensemble machine learning approach
Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, et al.
Cogent Engineering (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 20
Cervical Cancer Detection Techniques: A Chronological Review
Wan Azani Mustafa, Shahrina Ismail, Fahirah Syaliza Mokhtar, et al.
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1763-1763
Open Access | Times Cited: 11
Cervical Cancer Diagnosis Using Stacked Ensemble Model and Optimized Feature Selection: An Explainable Artificial Intelligence Approach
Abdulaziz AlMohimeed, Hager Saleh, Sherif Mostafa, et al.
Computers (2023) Vol. 12, Iss. 10, pp. 200-200
Open Access | Times Cited: 10
Cervical cancer classification based on a bilinear convolutional neural network approach and random projection
Samia M. Abd-Alhalem, Hanaa Salem, Walid El‐Shafai, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107261-107261
Closed Access | Times Cited: 10
Lightweight Low-Rank Adaptation Vision Transformer Framework for Cervical Cancer Detection and Cervix Type Classification
Zhenchen Hong, Jingwei Xiong, Yang Han, et al.
Bioengineering (2024) Vol. 11, Iss. 5, pp. 468-468
Open Access | Times Cited: 3
A systematic review and research recommendations on artificial intelligence for automated cervical cancer detection
Smith K. Khare, Victoria Blanes‐Vidal, Berit Bargum Booth, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 6
Open Access | Times Cited: 3
Edge computing-based ensemble learning model for health care decision systems
Asir Chandra Shinoo Robert Vincent, Sudhakar Sengan
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Analysis of WSI Images by Hybrid Systems with Fusion Features for Early Diagnosis of Cervical Cancer
Mohammed Hamdi, Ebrahim Mohammed Senan, Bakri Awaji, et al.
Diagnostics (2023) Vol. 13, Iss. 15, pp. 2538-2538
Open Access | Times Cited: 9
Exploring Resampling Techniques in Credit Card Default Prediction
Mark Lokanan
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
Prediction Models Using Decision Tree and Logistic Regression Method for Predicting Hospital Revisits in Peritoneal Dialysis Patients
Shih-Jiun Lin, Cheng-Chi Liu, David Ming Then Tsai, et al.
Diagnostics (2024) Vol. 14, Iss. 6, pp. 620-620
Open Access | Times Cited: 2
Prediction of precancerous cervical cancer lesions among women living with HIV on antiretroviral therapy in Uganda: a comparison of supervised machine learning algorithms
Florence Namalinzi, Kefas Rimamnuskeb Galadima, Robinah Nalwanga, et al.
BMC Women s Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
An ensemble machine learning-based approach to predict cervical cancer using hybrid feature selection
Khandaker Mohammad Mohi Uddin, Abdullah Al Mamun, Anamika Chakrabarti, et al.
Neuroscience Informatics (2024) Vol. 4, Iss. 3, pp. 100169-100169
Open Access | Times Cited: 2
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