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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:

Predicting the recurrence of breast cancer using machine learning algorithms
Amal Alzu’bi, Hassan Najadat, Wesam Doulat, et al.
Multimedia Tools and Applications (2021) Vol. 80, Iss. 9, pp. 13787-13800
Closed Access | Times Cited: 48

Showing 26-50 of 48 citing articles:

Presaging Cancer Stage Classification by Extracting Influential Features from Breast/Lung/Prostate Cancer Clinical Datasets Based on TNM Model
Sweta Manna, Sujoy Mistry
Lecture notes in networks and systems (2023), pp. 187-203
Closed Access | Times Cited: 2
Automated Identification and Categorization of COVID-19 via X-Ray Imagery Leveraging ROI Segmentation and CART Model
Bayan Al-Saaidah, Zaid Mustafa, Moh’d Rasoul Al-Hadidi, et al.
Traitement du signal (2023) Vol. 40, Iss. 5, pp. 2259-2265
Open Access | Times Cited: 2
A novel machine learning based hybrid approach for breast cancer relapse prediction
Ghanashyam Sahoo, Ajit Kumar Nayak, Pradyumna Kumar Tripathy, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2023) Vol. 32, Iss. 3, pp. 1655-1655
Open Access | Times Cited: 2
Machine Learning Based Ensemble Classifier using Wisconsin Dataset For Breast Cancer Prediction
G S Pradeep Ghantasala, Anjaneyulu Kunchala, R. Sathiyaraj, et al.
(2023)
Closed Access | Times Cited: 2
Comparative Breast Cancer Detection with Artificial Neural Networks and Machine Learning Methods
Muhammed Coşkun Irmak, Mehmet Bilge Han Taş, Sedat Turan, et al.
2022 30th Signal Processing and Communications Applications Conference (SIU) (2021), pp. 1-4
Closed Access | Times Cited: 5
Exploring Radiomic Feature Groups Contributions in Recurrence Prediction of Breast Cancer: A Comparative Analysis of Multiple Machine Learning Models
Saadia Azeroual, Rajaa Sebihi, Fatima-Ezzahraa Ben-Bouazza
Lecture notes in networks and systems (2024), pp. 408-416
Closed Access
BREAST CANCER DETECTION USING MACHINE LEARNING ALOGRITHM
Voolla. Vidya Sagar
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2024) Vol. 08, Iss. 04, pp. 1-5
Open Access
Impact of Hyperparameter Optimization to Enhance Machine Learning Performance: A Case Study on Breast Cancer Recurrence Prediction
Lorena González-Castro, Marcela Chávez, Patrick Duflot, et al.
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5909-5909
Open Access
Prognostication of differentiated thyroid cancer recurrence: An explainable machine learning approach
Ghazi Mauer Idroes, Teuku Rizky Noviandy, Ghalieb Mutig Idroes, et al.
Narra X (2024) Vol. 2, Iss. 3, pp. e183-e183
Closed Access
Feature-Based Transfer Learning Model for the Diagnosis of Breast Cancer
Zainab Sajid Mohammed, Fadhil Hussam, Mohammad Abd Alrazaq Hameed Al-Dulaimi, et al.
(2024), pp. 549-560
Closed Access
Transforming Healthcare: The Synergistic Fusion of AI and IoT for Intelligent, Personalized Well-Being
Meena Tiwari, Akhilesh A. Waoo
(2024), pp. 109-149
Closed Access
Enhancing fairness in breast cancer recurrence prediction through temporal machine learning models
Katrina Sundus, Bassam Hammo, Mohammad B. Al-Zoubi
Neural Computing and Applications (2024)
Closed Access
The Challenge of Deep Learning for the Prevention and Automatic Diagnosis of Breast Cancer: A Systematic Review
Jhelly Pérez, Ciro Rodríguez, Luis-Javier Vásquez-Serpa, et al.
Diagnostics (2024) Vol. 14, Iss. 24, pp. 2896-2896
Open Access
Analysis of ML-Based Classifiers for the Prediction of Breast Cancer
Bikram Kar, Bikash Kanti Sarkar
Algorithms for intelligent systems (2023), pp. 351-360
Closed Access | Times Cited: 1
Deep convolutional spiking neural network fostered automatic detection and classification of breast cancer from mammography images
T. Senthil Prakash, G. Kannan, Salini Prabhakaran, et al.
Research on Biomedical Engineering (2023) Vol. 39, Iss. 4, pp. 833-841
Closed Access | Times Cited: 1
Optimized Deep Convolutional Neural Network for the Prediction of Breast Cancer Recurrence
A. I., V. Mary Amala Bai
Journal of Applied Engineering and Technological Science (JAETS) (2023) Vol. 5, Iss. 1, pp. 495-514
Open Access | Times Cited: 1
Optimized deep maxout for breast cancer detection: consideration of pre-treatment and in-treatment aspect
Darshana Rajput, B. J. Bejoy
Multimedia Tools and Applications (2023) Vol. 83, Iss. 10, pp. 31017-31047
Closed Access | Times Cited: 1
Intelligent Information Retrieval for Reducing Missed Cancer and Improving the Healthcare System
Madhu Kumari, Prachi Ahlawat
International Journal of Information Retrieval Research (2021) Vol. 12, Iss. 1, pp. 1-25
Open Access | Times Cited: 3
Review on Methods to Predict Metastasis of Breast Cancer Using Artificial Intelligence
Sunitha Munappa, J. Subhashini, Pallikonda Sarah Suhasini
Lecture notes on data engineering and communications technologies (2022), pp. 475-485
Closed Access | Times Cited: 1
Prediction of Breast Cancer Recurrence in Five Years using Machine Learning Techniques and SHAP
I. Keren Evangeline, S. P. Angeline Kirubha, J. Glory Precious
Lecture notes in electrical engineering (2022), pp. 441-453
Closed Access | Times Cited: 1
Towards an Accurate Breast Cancer Classification Model based on Ensemble Learning
Aya Hesham, Nora El-Rashidy, Amira Rezk, et al.
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 12
Open Access | Times Cited: 1
Detection of Breast Cancer Through the Machine Learning Techniques
Tarandeep Kaur Bhatia, Vanshika Kochar, Ankush Katiyar
2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (2022), pp. 1-6
Closed Access
Improved Flower Pollination Algorithm for the Detection of Lung Cancer Detection in Humans Text Based Mining
Akey Sungheetha
Bioscience Biotechnology Research Communications (2021) Vol. 14, Iss. 7, pp. 229-234
Open Access
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