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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:

Research on expansion and classification of imbalanced data based on SMOTE algorithm
Shujuan Wang, Yuntao Dai, Jihong Shen, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 107

Showing 1-25 of 107 citing articles:

Supervised machine learning in drug discovery and development: Algorithms, applications, challenges, and prospects
George Obaido, Ibomoiye Domor Mienye, Oluwaseun Francis Egbelowo, et al.
Machine Learning with Applications (2024) Vol. 17, pp. 100576-100576
Open Access | Times Cited: 17
SMOTE vs. SMOTEENN: A Study on the Performance of Resampling Algorithms for Addressing Class Imbalance in Regression Models
Gulam Mohammed Husain, Daniel Nasef, Rejath Jose, et al.
Algorithms (2025) Vol. 18, Iss. 1, pp. 37-37
Open Access | Times Cited: 2
Advancements and future outlook of Artificial Intelligence in energy and climate change modeling
Mobolaji Shobanke, Mehul Bhatt, Ekundayo Shittu
Advances in Applied Energy (2025), pp. 100211-100211
Open Access | Times Cited: 1
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
Application of machine learning techniques for predicting survival in ovarian cancer
Amir Sorayaie Azar, Samin Babaei Rikan, Amin Naemi, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 39
Multimodal Hierarchical CNN Feature Fusion for Stress Detection
K Radhika, Ramanathan Subramanian, O.V. Ramana Murthy
IEEE Access (2023) Vol. 11, pp. 6867-6878
Open Access | Times Cited: 34
A Light Gradient-Boosting Machine algorithm with Tree-Structured Parzen Estimator for breast cancer diagnosis
Temidayo Oluwatosin Omotehinwa, David Opeoluwa Oyewola, Emmanuel Gbenga Dada
Healthcare Analytics (2023) Vol. 4, pp. 100218-100218
Open Access | Times Cited: 30
Enhanced Intrusion Detection with LSTM-Based Model, Feature Selection, and SMOTE for Imbalanced Data
Hussein Ridha Sayegh, Dong Wang, Ali Mansour Al-madani
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 479-479
Open Access | Times Cited: 14
Enhancing and improving the performance of imbalanced class data using novel GBO and SSG: A comparative analysis
Md Manjurul Ahsan, Md Shahin Ali, Zahed Siddique
Neural Networks (2024) Vol. 173, pp. 106157-106157
Closed Access | Times Cited: 8
Forward attention-based deep network for classification of breast histopathology image
Sudipta Roy, Pankaj Jain, Kalyan Tadepalli, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 40, pp. 88039-88068
Closed Access | Times Cited: 8
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
Machine learning prediction of adolescent HIV testing services in Ethiopia
Melsew Setegn Alie, Yilkal Negesse
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 7
Predictive model and risk analysis for peripheral vascular disease in type 2 diabetes mellitus patients using machine learning and shapley additive explanation
Lianhua Liu, Bo Bi, Li Juan Cao, et al.
Frontiers in Endocrinology (2024) Vol. 15
Open Access | Times Cited: 5
Comparison of ischemic stroke diagnosis models based on machine learning
Wan-Xia Yang, Fangfang Wang, Yunyan Pan, et al.
Frontiers in Neurology (2022) Vol. 13
Open Access | Times Cited: 22
Improving SVM Classification Performance on Unbalanced Student Graduation Time Data Using SMOTE
Anthony Anggrawan, Hairani Hairani, Christofer Satria
International Journal of Information and Education Technology (2023) Vol. 13, Iss. 2, pp. 289-295
Open Access | Times Cited: 14
Machine learning to predict virological failure among HIV patients on antiretroviral therapy in the University of Gondar Comprehensive and Specialized Hospital, in Amhara Region, Ethiopia, 2022
Daniel Niguse Mamo, Tesfahun Melese Yilma, Makida Fekadie, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 13
Prediction model of radiotherapy outcome for Ocular Adnexal Lymphoma using informative features selected by chemometric algorithms
Min Zhou, Jiaqi Wang, Jiahao Shi, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 108067-108067
Closed Access | Times Cited: 4
Development and Validation of Machine Learning Algorithms to Predict 1-Year Ischemic Stroke and Bleeding Events in Patients with Atrial Fibrillation and Cancer
Bang Truong, Jingyi Zheng, Lori B. Hornsby, et al.
Cardiovascular Toxicology (2024) Vol. 24, Iss. 4, pp. 365-374
Open Access | Times Cited: 4
Explicate molecular landscape of combined pulmonary fibrosis and emphysema through explainable artificial intelligence: a comprehensive analysis of ILD and COPD interactions using RNA from whole lung homogenates
Nakul Tanwar, Yasha Hasija
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 8, pp. 2557-2570
Closed Access | Times Cited: 4
An ensemble learning method combined with multiple feature representation strategies to predict lncRNA subcellular localizations
Lina Zhang, Sizan Gao, Quan Yuan, et al.
Computational Biology and Chemistry (2025), pp. 108336-108336
Closed Access
Constructing a machine learning model for systemic infection after kidney stone surgery based on CT values
Jiaxin Li, Yao Du, Gaoming Huang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Calibrated multi-view graph learning framework for infant cognitive abilities prediction
Tong Xiong, Xin Zhang, Jiale Cheng, et al.
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107605-107605
Closed Access
Hybrid CNN-GRU Models for Improved EEG Motor Imagery Classification
Mouna Bouchane, Wei Guo, Shuojin Yang
Sensors (2025) Vol. 25, Iss. 5, pp. 1399-1399
Open Access
Predicting MBTI personality of YouTube users
Luisa Stracqualursi, Patrizia Agati
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A quantum approach to synthetic minority oversampling technique (SMOTE)
Nishikanta Mohanty, Bikash K. Behera, Christopher Ferrie, et al.
Quantum Machine Intelligence (2025) Vol. 7, Iss. 1
Open Access
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