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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:

A hybrid classifier combining SMOTE with PSO to estimate 5-year survivability of breast cancer patients
Kung‐Jeng Wang, Bunjira Makond, Kun‐Huang Chen, et al.
Applied Soft Computing (2013) Vol. 20, pp. 15-24
Closed Access | Times Cited: 126

Showing 1-25 of 126 citing articles:

A systematic study of the class imbalance problem in convolutional neural networks
Mateusz Buda, Atsuto Maki, Maciej A. Mazurowski
Neural Networks (2018) Vol. 106, pp. 249-259
Open Access | Times Cited: 2244
Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data
Salman Khan, Munawar Hayat, Mohammed Bennamoun, et al.
IEEE Transactions on Neural Networks and Learning Systems (2017) Vol. 29, Iss. 8, pp. 3573-3587
Open Access | Times Cited: 878
Artificial intelligence in cancer diagnosis and prognosis: Opportunities and challenges
Shigao Huang, Jie Yang, Simon Fong, et al.
Cancer Letters (2019) Vol. 471, pp. 61-71
Open Access | Times Cited: 485
A comprehensive data level analysis for cancer diagnosis on imbalanced data
Sara Fotouhi, Shahrokh Asadi, Michael W. Kattan
Journal of Biomedical Informatics (2019) Vol. 90, pp. 103089-103089
Closed Access | Times Cited: 262
Data-Driven Cervical Cancer Prediction Model with Outlier Detection and Over-Sampling Methods
Muhammad Fazal Ijaz, Muhammad Attique, Youngdoo Son
Sensors (2020) Vol. 20, Iss. 10, pp. 2809-2809
Open Access | Times Cited: 223
Hybrid Prediction Model for Type 2 Diabetes and Hypertension Using DBSCAN-Based Outlier Detection, Synthetic Minority Over Sampling Technique (SMOTE), and Random Forest
Muhammad Fazal Ijaz, Ganjar Alfian, Muhammad Syafrudin, et al.
Applied Sciences (2018) Vol. 8, Iss. 8, pp. 1325-1325
Open Access | Times Cited: 185
An alternative SMOTE oversampling strategy for high-dimensional datasets
Sebastián Maldonado, Julio López, Carla Vairetti
Applied Soft Computing (2018) Vol. 76, pp. 380-389
Closed Access | Times Cited: 185
A review on classification of imbalanced data for wireless sensor networks
Harshita Patel, Dharmendra Singh Rajput, Thippa Reddy Gadekallu, et al.
International Journal of Distributed Sensor Networks (2020) Vol. 16, Iss. 4, pp. 155014772091640-155014772091640
Open Access | Times Cited: 138
Multi-Objective Particle Swarm Optimization Based Preprocessing of Multi-Class Extremely Imbalanced Datasets
R. Devi Priya, R. Sivaraj, Ajith Abraham, et al.
International Journal of Uncertainty Fuzziness and Knowledge-Based Systems (2022) Vol. 30, Iss. 05, pp. 735-755
Closed Access | Times Cited: 92
A Survey on Long-Tailed Visual Recognition
Lu Yang, He Jiang, Qing Song, et al.
International Journal of Computer Vision (2022) Vol. 130, Iss. 7, pp. 1837-1872
Closed Access | Times Cited: 90
Pyramid particle swarm optimization with novel strategies of competition and cooperation
Taiyong Li, Jiayi Shi, Wu Deng, et al.
Applied Soft Computing (2022) Vol. 121, pp. 108731-108731
Closed Access | Times Cited: 82
A Current Review of Machine Learning and Deep Learning Models in Oral Cancer Diagnosis: Recent Technologies, Open Challenges, and Future Research Directions
Shriniket Dixit, Anant Kumar, Kathiravan Srinivasan
Diagnostics (2023) Vol. 13, Iss. 7, pp. 1353-1353
Open Access | Times Cited: 56
Missing data imputation on the 5-year survival prediction of breast cancer patients with unknown discrete values
Pedro J. García-Laencina, Pedro Henriques Abreu, Miguel Henriques Abreu, et al.
Computers in Biology and Medicine (2015) Vol. 59, pp. 125-133
Closed Access | Times Cited: 149
Imbalance class problems in data mining: a review
Haseeb Ali, Mohd Najib Mohd Salleh, Rd. Rohmat Saedudin, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2019) Vol. 14, Iss. 3, pp. 1552-1552
Open Access | Times Cited: 115
LoRAS: an oversampling approach for imbalanced datasets
Saptarshi Bej, Narek Davtyan, Markus Wolfien, et al.
Machine Learning (2020) Vol. 110, Iss. 2, pp. 279-301
Open Access | Times Cited: 112
MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks
Xiuyuan Xu, Chengdi Wang, Jixiang Guo, et al.
Medical Image Analysis (2020) Vol. 65, pp. 101772-101772
Closed Access | Times Cited: 95
Handling Imbalanced Data: A Survey
Neelam Rout, Debahuti Mishra, Manas Kumar Mallick
Advances in intelligent systems and computing (2017), pp. 431-443
Closed Access | Times Cited: 92
A memetic algorithm applied to trajectory control by tuning of Fractional Order Proportional-Integral-Derivative controllers
Yashar Mousavi, Alireza Alfi
Applied Soft Computing (2015) Vol. 36, pp. 599-617
Closed Access | Times Cited: 91
Predicting breast cancer 5-year survival using machine learning: A systematic review
Jiaxin Li, Zijun Zhou, Jianyu Dong, et al.
PLoS ONE (2021) Vol. 16, Iss. 4, pp. e0250370-e0250370
Open Access | Times Cited: 91
Chiller fault diagnosis with field sensors using the technology of imbalanced data
Yuqiang Fan, Xiaoyu Cui, Hua Han, et al.
Applied Thermal Engineering (2019) Vol. 159, pp. 113933-113933
Closed Access | Times Cited: 79
A Novel Ensemble Learning Paradigm for Medical Diagnosis With Imbalanced Data
Na Liu, LI Xiao-mei, Ershi Qi, et al.
IEEE Access (2020) Vol. 8, pp. 171263-171280
Open Access | Times Cited: 71
Dual Focal Loss to address class imbalance in semantic segmentation
Md. Sazzad Hossain, John M. Betts, Andrew P. Papliński
Neurocomputing (2021) Vol. 462, pp. 69-87
Closed Access | Times Cited: 69
Data mining and machine learning in cancer survival research: An overview and future recommendations
Ishleen Kaur, M. N. Doja, Tanvir Ahmad
Journal of Biomedical Informatics (2022) Vol. 128, pp. 104026-104026
Open Access | Times Cited: 44
A systematic review on machine learning and deep learning techniques in cancer survival prediction
P.B. Deepa, C. Gunavathi
Progress in Biophysics and Molecular Biology (2022) Vol. 174, pp. 62-71
Closed Access | Times Cited: 41
A real-time crash prediction fusion framework: An imbalance-aware strategy for collision avoidance systems
Zouhair Elamrani Abou Elassad, Hajar Mousannif, Hassan Al Moatassime
Transportation Research Part C Emerging Technologies (2020) Vol. 118, pp. 102708-102708
Closed Access | Times Cited: 68
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