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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 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

Showing 1-25 of 143 citing articles:

Exploiting dynamic spatio-temporal correlations for citywide traffic flow prediction using attention based neural networks
Ahmad Ali, Yanmin Zhu, Muhammad Zakarya
Information Sciences (2021) Vol. 577, pp. 852-870
Closed Access | Times Cited: 164
Prediction of Breast Cancer using Machine Learning Approaches
Reza Rabiei
Journal of Biomedical Physics and Engineering (2022) Vol. 12, Iss. 3
Open Access | Times Cited: 83
Risk assessment of coronary heart disease based on cloud-random forest
Jing Wang, Congjun Rao, Mark Goh, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 1, pp. 203-232
Closed Access | Times Cited: 78
Artificial Intelligence of Things for Smarter Healthcare: A Survey of Advancements, Challenges, and Opportunities
Stephanie Baker, Wei Xiang
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 2, pp. 1261-1293
Open Access | Times Cited: 70
A Novel Hybrid Dynamic Harris Hawks Optimized Gated Recurrent Unit Approach for Breast Cancer Prediction
Rajesh Natarajan, Sujatha Krishna, H. L. Gururaj, et al.
International Journal of Computational Intelligence Systems (2025) Vol. 18, Iss. 1
Open Access | Times Cited: 1
A Brief Survey on Breast Cancer Diagnostic With Deep Learning Schemes Using Multi-Image Modalities
Tariq Mahmood, Jianqiang Li, Yan Pei, et al.
IEEE Access (2020) Vol. 8, pp. 165779-165809
Open Access | Times Cited: 103
Interpretability-Based Multimodal Convolutional Neural Networks for Skin Lesion Diagnosis
Sutong Wang, Yunqiang Yin, Dujuan Wang, et al.
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 12, pp. 12623-12637
Closed Access | Times Cited: 74
Breast tumor localization and segmentation using machine learning techniques: Overview of datasets, findings, and methods
Ramin Ranjbarzadeh, Shadi Dorosti, Saeid Jafarzadeh Ghoushchi, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106443-106443
Open Access | Times Cited: 59
An efficient classification framework for breast cancer using hyper parameter tuned Random Decision Forest Classifier and Bayesian Optimization
Pratheep Kumar P, Mary Amala Bai, Geetha G. Nair
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102682-102682
Closed Access | Times Cited: 55
A Breast Cancer Diagnosis Method Based on VIM Feature Selection and Hierarchical Clustering Random Forest Algorithm
Zexian Huang, Daqi Chen
IEEE Access (2021) Vol. 10, pp. 3284-3293
Open Access | Times Cited: 55
Nerve optic segmentation in CT images using a deep learning model and a texture descriptor
Ramin Ranjbarzadeh, Shadi Dorosti, Saeid Jafarzadeh Ghoushchi, et al.
Complex & Intelligent Systems (2022) Vol. 8, Iss. 4, pp. 3543-3557
Open Access | Times Cited: 55
AMS-PAN: Breast ultrasound image segmentation model combining attention mechanism and multi-scale features
Yuchao Lyu, Yinghao Xu, Xi Jiang, et al.
Biomedical Signal Processing and Control (2022) Vol. 81, pp. 104425-104425
Open Access | Times Cited: 49
Deep integrated pipeline of segmentation guided classification of breast cancer from ultrasound images
Muhammad Sakib Khan Inan, Fahim Irfan Alam, Rizwan Hasan
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103553-103553
Open Access | Times Cited: 45
Artificial intelligence based medical decision support system for early and accurate breast cancer prediction
Law Kumar Singh, Munish Khanna, Rekha Singh
Advances in Engineering Software (2022) Vol. 175, pp. 103338-103338
Closed Access | Times Cited: 45
Breast Cancer Detection and Prevention Using Machine Learning
Arslan Khalid, Arif Mehmood, Amerah Alabrah, et al.
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3113-3113
Open Access | Times Cited: 36
Identifying mangroves through knowledge extracted from trained random forest models: An interpretable mangrove mapping approach (IMMA)
Chuanpeng Zhao, Mingming Jia, Zongming Wang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 201, pp. 209-225
Closed Access | Times Cited: 33
Recent advancements in machine learning and deep learning-based breast cancer detection using mammograms
Adyasha Sahu, Pradeep Kumar Das, Sukadev Meher
Physica Medica (2023) Vol. 114, pp. 103138-103138
Open Access | Times Cited: 32
Trustworthy artificial intelligence in Alzheimer’s disease: state of the art, opportunities, and challenges
Shaker El–Sappagh, José M. Alonso, Tamer Abuhmed, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 10, pp. 11149-11296
Closed Access | Times Cited: 25
Digital infrared thermal imaging system based breast cancer diagnosis using 4D U-Net segmentation
P. Gomathi, C. Muniraj, P.S. Periasamy
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104792-104792
Closed Access | Times Cited: 23
A local rough set method for feature selection by variable precision composite measure
Kehua Yuan, Weihua Xu, Duoqian Miao
Applied Soft Computing (2024) Vol. 155, pp. 111450-111450
Closed Access | Times Cited: 12
Guaranteeing Correctness in Black-Box Machine Learning: A Fusion of Explainable AI and Formal Methods for Healthcare Decision-Making
Nadia Khan, Muhammad Nauman, Ahmad Almadhor, et al.
IEEE Access (2024) Vol. 12, pp. 90299-90316
Open Access | Times Cited: 9
Breast cancer detection using machine learning approaches: a comparative study
Muawia A. Elsadig, Abdelrahman Altigani, Huwaida T. Elshoush
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2022) Vol. 13, Iss. 1, pp. 736-736
Open Access | Times Cited: 29
A magnification-independent method for breast cancer classification using transfer learning
Vandana Kumari, Rajib Ghosh
Healthcare Analytics (2023) Vol. 3, pp. 100207-100207
Open Access | Times Cited: 17
التعرف على صور عاطفة الوجه بناءً على الخوارزمية الجينية الثنائية - الغابة العشوائية
Murad Ibrahim Husin Alzawali, Yusliza Yusoff, Razana Alwee, et al.
Baghdad Science Journal (2024) Vol. 21, Iss. 2(SI), pp. 0780-0780
Open Access | Times Cited: 6
Multi-type load forecasting model based on random forest and density clustering with the influence of noise and load patterns
Song Deng, Xia Dong, Tao Li, et al.
Energy (2024) Vol. 307, pp. 132635-132635
Closed Access | Times Cited: 6
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