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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 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 1-25 of 85 citing articles:

Breast cancer detection using artificial intelligence techniques: A systematic literature review
Ali Bou Nassif, Manar Abu Talib, Qassim Nasir, et al.
Artificial Intelligence in Medicine (2022) Vol. 127, pp. 102276-102276
Open Access | Times Cited: 207
An improved random forest-based rule extraction method for breast cancer diagnosis
Sutong Wang, Yuyan Wang, Dujuan Wang, et al.
Applied Soft Computing (2019) Vol. 86, pp. 105941-105941
Closed Access | Times Cited: 143
Deep Learning Based Methods for Breast Cancer Diagnosis: A Systematic Review and Future Direction
Maged Nasser, Umi Kalsom Yusof
Diagnostics (2023) Vol. 13, Iss. 1, pp. 161-161
Open Access | Times Cited: 110
Breast cancer diagnosis using support vector machine optimized by improved quantum inspired grey wolf optimization
Anas Bilal, Azhar Imran, Talha Imtiaz Baig, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 26
BC-QNet: A Quantum-Infused ELM Model for Breast Cancer Diagnosis
Anas Bilal, Azhar Imran, Xiaowen Liu, et al.
Computers in Biology and Medicine (2024) Vol. 175, pp. 108483-108483
Closed Access | Times Cited: 22
An enhanced and efficient approach for feature selection for chronic human disease prediction: A breast cancer study
Munish Khanna, Law Kumar Singh, Kapil Shrivastava, et al.
Heliyon (2024) Vol. 10, Iss. 5, pp. e26799-e26799
Open Access | Times Cited: 14
Breast Cancer Diagnosis Using Feature Ensemble Learning Based on Stacked Sparse Autoencoders and Softmax Regression
Vinod J. Kadam, Shivajirao M. Jadhav, K. Vijayakumar
Journal of Medical Systems (2019) Vol. 43, Iss. 8
Closed Access | Times Cited: 132
Unbalanced breast cancer data classification using novel fitness functions in genetic programming
Divyaansh Devarriya, Cairo Gulati, Vidhi Mansharamani, et al.
Expert Systems with Applications (2019) Vol. 140, pp. 112866-112866
Closed Access | Times Cited: 115
From in-situ monitoring toward high-throughput process control: cost-driven decision-making framework for laser-based additive manufacturing
Ruholla Jafari-Marandi, Mojtaba Khanzadeh, Wenmeng Tian, et al.
Journal of Manufacturing Systems (2019) Vol. 51, pp. 29-41
Open Access | Times Cited: 105
Projecting the sorption capacity of heavy metal ions onto microplastics in global aquatic environments using artificial neural networks
Xuan Guo, Jianlong Wang
Journal of Hazardous Materials (2020) Vol. 402, pp. 123709-123709
Closed Access | Times Cited: 105
Path Loss Predictions in the VHF and UHF Bands Within Urban Environments: Experimental Investigation of Empirical, Heuristics and Geospatial Models
Nasir Faruk, Segun I. Popoola, N. T. Surajudeen-Bakinde, et al.
IEEE Access (2019) Vol. 7, pp. 77293-77307
Open Access | Times Cited: 85
A Comprehensive Survey on Deep-Learning-Based Breast Cancer Diagnosis
M. F. Mridha, Md. Abdul Hamid, Muhammad Mostafa Monowar, et al.
Cancers (2021) Vol. 13, Iss. 23, pp. 6116-6116
Open Access | Times Cited: 58
Breast Cancer Diagnosis Using Support Vector Machines Optimized by Whale Optimization and Dragonfly Algorithms
Ahmed S. Elkorany, Mohamed Marey, Khaled Almustafa, et al.
IEEE Access (2022) Vol. 10, pp. 69688-69699
Closed Access | Times Cited: 47
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: 39
A network surveillance approach using machine learning based control charts
Ali Yeganeh, Nataliya Chukhrova, Arne Johannssen, et al.
Expert Systems with Applications (2023) Vol. 219, pp. 119660-119660
Closed Access | Times Cited: 30
Comparative Analysis of Advanced Data Mining Methods for Enhancing Medical Diagnosis and Prognosis
Mohammad Subhi Al-Batah, Mowafaq Salem Alzboon, Muhyeeddin Alqaraleh, et al.
Data & Metadata (2024) Vol. 3
Open Access | Times Cited: 8
Comparing of deep neural networks and extreme learning machines based on growing and pruning approach
Kemal Akyol
Expert Systems with Applications (2019) Vol. 140, pp. 112875-112875
Closed Access | Times Cited: 57
Artificial neural network with Taguchi method for robust classification model to improve classification accuracy of breast cancer
Md Akizur Rahman, Ravie Chandren Muniyandi, Dheeb Albashish, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e344-e344
Open Access | Times Cited: 40
Employing evolutionary artificial neural network in risk-adjusted monitoring of surgical performance
Ali Yeganeh, Alireza Shadman, Sandile Charles Shongwe, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 14, pp. 10677-10693
Closed Access | Times Cited: 18
Medical image diagnosis based on adaptive Hybrid Quantum CNN
Naim Ajlouni, Adem Özyavaş, Mustafa Takaoğlu, et al.
BMC Medical Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 17
Enhancing Breast Cancer Detection and Classification Using Advanced Multi-Model Features and Ensemble Machine Learning Techniques
Mana Saleh Al Reshan, Samina Amin, Muhammad Ali Zeb, et al.
Life (2023) Vol. 13, Iss. 10, pp. 2093-2093
Open Access | Times Cited: 16
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
Classification of Patients with Breast Cancer using Neighbourhood Component Analysis and Supervised Machine Learning Techniques
Sara Laghmati, Bouchaib Cherradi, Amal Tmiri, et al.
(2020), pp. 1-6
Closed Access | Times Cited: 46
Statistical Machine Learning Approaches to Liver Disease Prediction
Fahad Mostafa, Easin Hasan, Morgan Williamson, et al.
Livers (2021) Vol. 1, Iss. 4, pp. 294-312
Open Access | Times Cited: 37
A Novel Transfer Learning Technique for Detecting Breast Cancer Mammograms Using VGG16 Bottleneck Feature
Sashikanta Prusty, Sujit Kumar Dash, Srikanta Patnaik
ECS Transactions (2022) Vol. 107, Iss. 1, pp. 733-746
Open Access | Times Cited: 23
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