Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 optimum ANN-based breast cancer diagnosis: Bridging gaps between ANN learning and decision-making goals
Ruholla Jafari-Marandi, Samaneh Davarzani, Maryam Soltanpour Gharibdousti, et al.
Applied Soft Computing (2018) Vol. 72, pp. 108-120
Closed Access | Times Cited: 85

Showing 26-50 of 85 citing articles:

A quantum-optimized approach for breast cancer detection using SqueezeNet-SVM
Anas Bilal, Ali Alkhathlan, Faris Kateb, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A novel approach for breast cancer prediction using optimized ANN classifier based on big data environment
M. Supriya, A. J. Deepa
Health Care Management Science (2019) Vol. 23, Iss. 3, pp. 414-426
Closed Access | Times Cited: 41
Machine Learning based System for Prediction of Breast Cancer Severity
Sara Laghmati, Amal Tmiri, Bouchaib Cherradi
(2019), pp. 1-5
Closed Access | Times Cited: 37
A cost-effective computer-vision based breast cancer diagnosis
Prabira Kumar Sethy, Chanki Pandey, M. R. Khan, et al.
Journal of Intelligent & Fuzzy Systems (2021) Vol. 41, Iss. 5, pp. 5253-5263
Closed Access | Times Cited: 31
An ANN-based ensemble model for change point estimation in control charts
Ali Yeganeh, Farhad Pourpanah, Alireza Shadman
Applied Soft Computing (2021) Vol. 110, pp. 107604-107604
Closed Access | Times Cited: 31
Comparative analysis study by response surface methodology and artificial neural network on salicylic acid adsorption optimization using activated carbon
Nawal Taoufik, Abdellah Elmchaouri, Soufiane El Mahmoudi, et al.
Environmental Nanotechnology Monitoring & Management (2021) Vol. 15, pp. 100448-100448
Closed Access | Times Cited: 28
Classification techniques in breast cancer diagnosis: A systematic literature review
Bouchra ElOuassif, Ali Idri, Mohamed Hosni, et al.
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2021) Vol. 9, Iss. 1, pp. 50-77
Closed Access | Times Cited: 27
Analyzing abnormal pattern of hotellingT2control chart for compositional data using artificial neural networks
Fatima Zaidi, Hong-Liang Dai, Muhammad Imran, et al.
Computers & Industrial Engineering (2023) Vol. 180, pp. 109254-109254
Closed Access | Times Cited: 10
Modeling the performance of Single-stage Nitrogen removal using Anammox and Partial nitritation (SNAP) process with backpropagation neural network and response surface methodology
Philip Antwi, Dachao Zhang, Longwen Xiao, et al.
The Science of The Total Environment (2019) Vol. 690, pp. 108-120
Closed Access | Times Cited: 30
An effective approach for breast cancer diagnosis based on routine blood analysis features
Yavuz Erdem, Can Eyüpoğlu
Medical & Biological Engineering & Computing (2020) Vol. 58, Iss. 7, pp. 1583-1601
Closed Access | Times Cited: 26
Breast Cancer Classification using Deep Convolutional Neural Network
Muhammad Aslam, Aslam, Daxiang Cui
Journal of Physics Conference Series (2020) Vol. 1584, Iss. 1, pp. 012005-012005
Open Access | Times Cited: 25
Closing the Wearable Gap—Part VI: Human Gait Recognition Using Deep Learning Methodologies
Samaneh Davarzani, David Saucier, Preston Peranich, et al.
Electronics (2020) Vol. 9, Iss. 5, pp. 796-796
Open Access | Times Cited: 24
Optimum profit-driven churn decision making: innovative artificial neural networks in telecom industry
Ruholla Jafari-Marandi, Joshua Denton, Adnan Idris, et al.
Neural Computing and Applications (2020) Vol. 32, Iss. 18, pp. 14929-14962
Closed Access | Times Cited: 21
A hybrid classifier based on support vector machine and Jaya algorithm for breast cancer classification
Mohammed Alshutbi, Zhiyong Li, Moath Alrifaey, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 19, pp. 16669-16681
Closed Access | Times Cited: 12
A Breast Cancer Diagnosis Framework Based on Machine Learning
Nikhat Akhtar, Hemlata Pant, Apoorva Dwivedi, et al.
International Journal of Scientific Research in Science Engineering and Technology (2023), pp. 118-132
Open Access | Times Cited: 7
Detection of Breast Cancer Based on Fuzzy Frequent Itemsets Mining
F. Ramesh Dhanaseelan, M. Jeya Sutha
IRBM (2020) Vol. 42, Iss. 3, pp. 198-206
Closed Access | Times Cited: 18
Tropical Convolutional Neural Networks (TCNNs) Based Methods for Breast Cancer Diagnosis
Apoorva Dwivedi, Basant Ballabh Dumka, Nikhat Akhtar, et al.
International Journal of Scientific Research in Science and Technology (2023), pp. 1100-1116
Open Access | Times Cited: 6
Using evolutionary artificial neural networks in monitoring binary and polytomous logistic profiles
Ali Yeganeh, Alireza Shadman
Journal of Manufacturing Systems (2021) Vol. 61, pp. 546-561
Closed Access | Times Cited: 15
Imbalanced medical disease dataset classification using enhanced generative adversarial network
T. Suresh, Z. Brijet, T.D. Subha
Computer Methods in Biomechanics & Biomedical Engineering (2022) Vol. 26, Iss. 14, pp. 1702-1718
Closed Access | Times Cited: 9
Prediction value of preoperative findings on meningioma grading using artificial neural network
Hamid Reza Khayat Kashani, Shirzad Azhari, Hossein Nayebaghayee, et al.
Clinical Neurology and Neurosurgery (2020) Vol. 196, pp. 105947-105947
Closed Access | Times Cited: 13
Breast Cancer Risk Prediction based on Six Machine Learning Algorithms
Md. Razu Ahmed, Md. Asraf Ali, Joy Roy, et al.
2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) (2020), pp. 1-5
Closed Access | Times Cited: 13
Deep Learning based Improved Generative Adversarial Network for Addressing Class Imbalance Classification Problem in Breast Cancer Dataset
S. Subasree, N. K. Sakthivel, M. Shobana, et al.
International Journal of Uncertainty Fuzziness and Knowledge-Based Systems (2023) Vol. 31, Iss. 03, pp. 387-412
Closed Access | Times Cited: 4
Design and Implementation of Artificial Neural Network Classifiers based on Hypertuning Parameters for Breast Cancer Diagnosis
Neetu Gupta, Hemant Gupta, Rahul Srivastava, et al.
Procedia Computer Science (2024) Vol. 233, pp. 929-938
Open Access | Times Cited: 1
Exploring different computational approaches for effective diagnosis of breast cancer
Anuradha., Navneeta Bharadvaja
Progress in Biophysics and Molecular Biology (2022) Vol. 177, pp. 141-150
Closed Access | Times Cited: 7
An Improved Model for Breast Cancer Diagnosis by Combining PCA and Logistic Regression Techniques
Djihane Houfani, Sihem Slatnia, Okba Kazar, et al.
International Journal of Computing and Digital Systems (2023) Vol. 13, Iss. 1, pp. 701-716
Open Access | Times Cited: 4

Scroll to top