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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:

Cross-Validation for Imbalanced Datasets: Avoiding Overoptimistic and Overfitting Approaches [Research Frontier]
Miriam Seoane Santos, J. Soares, Pedro Henriques Abreu, et al.
IEEE Computational Intelligence Magazine (2018) Vol. 13, Iss. 4, pp. 59-76
Closed Access | Times Cited: 324

Showing 1-25 of 324 citing articles:

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
Machine Learning in Environmental Research: Common Pitfalls and Best Practices
Jun‐Jie Zhu, Meiqi Yang, Zhiyong Jason Ren
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 17671-17689
Closed Access | Times Cited: 219
How Complex Is Your Classification Problem?
Ana Carolina Lorena, Luís P. F. Garcia, Jens Lehmann, et al.
ACM Computing Surveys (2019) Vol. 52, Iss. 5, pp. 1-34
Closed Access | Times Cited: 189
Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review
Elias Hossain, Rajib Rana, Niall Higgins, et al.
Computers in Biology and Medicine (2023) Vol. 155, pp. 106649-106649
Open Access | Times Cited: 155
A Comparison of Undersampling, Oversampling, and SMOTE Methods for Dealing with Imbalanced Classification in Educational Data Mining
Tarid Wongvorachan, Surina He, Okan Bulut
Information (2023) Vol. 14, Iss. 1, pp. 54-54
Open Access | Times Cited: 153
Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19
Sonu Subudhi, Ashish Verma, Ankit Patel, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 129
Predicting Breast Cancer from Risk Factors Using SVM and Extra-Trees-Based Feature Selection Method
Ganjar Alfian, Muhammad Syafrudin, Imam Fahrurrozi, et al.
Computers (2022) Vol. 11, Iss. 9, pp. 136-136
Open Access | Times Cited: 83
On the joint-effect of class imbalance and overlap: a critical review
Miriam Seoane Santos, Pedro Henriques Abreu, Nathalie Japkowicz, et al.
Artificial Intelligence Review (2022) Vol. 55, Iss. 8, pp. 6207-6275
Closed Access | Times Cited: 71
A Guide to Cross-Validation for Artificial Intelligence in Medical Imaging
Tyler Bradshaw, Zachary Huemann, Junjie Hu, et al.
Radiology Artificial Intelligence (2023) Vol. 5, Iss. 4
Open Access | Times Cited: 59
Addressing the class imbalance problem in network intrusion detection systems using data resampling and deep learning
Ahmed M. Abdel‐Khalek, Maggie Mashaly
The Journal of Supercomputing (2023) Vol. 79, Iss. 10, pp. 10611-10644
Open Access | Times Cited: 49
XGBoost-SHAP-based interpretable diagnostic framework for alzheimer’s disease
Fuliang Yi, Hui Yang, Durong Chen, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 49
Synergistic enhancement of ultrahigh SERS activity via Cu2O@Ag Core-Shell structure for accurate label-free identification of breast tumor subtypes
Yujiao Xie, Chao Chen, Chenguang Zhang, et al.
Nano Today (2024) Vol. 54, pp. 102140-102140
Closed Access | Times Cited: 23
Traffic Accident’s Severity Prediction: A Deep-Learning Approach-Based CNN Network
Ming Zheng, Tong Li, Rui Zhu, et al.
IEEE Access (2019) Vol. 7, pp. 39897-39910
Open Access | Times Cited: 140
Robust Detection of COVID-19 in Cough Sounds
Pauline Mouawad, Tammuz Dubnov, Shlomo Dubnov
SN Computer Science (2021) Vol. 2, Iss. 1
Open Access | Times Cited: 101
A Study of Fall Detection in Assisted Living: Identifying and Improving the Optimal Machine Learning Method
Nirmalya Thakur, Chia Y. Han
Journal of Sensor and Actuator Networks (2021) Vol. 10, Iss. 3, pp. 39-39
Open Access | Times Cited: 92
Machine Learning in Computer Vision: A Review
Abdullah Ayub Khan, Asif Ali Laghari, Shafique Ahmad Awan
ICST Transactions on Scalable Information Systems (2018), pp. 169418-169418
Open Access | Times Cited: 85
SMOTE-ENC: A Novel SMOTE-Based Method to Generate Synthetic Data for Nominal and Continuous Features
M. Mukherjee, Matloob Khushi
Applied System Innovation (2021) Vol. 4, Iss. 1, pp. 18-18
Open Access | Times Cited: 82
Automated Classification of Significant Prostate Cancer on MRI: A Systematic Review on the Performance of Machine Learning Applications
Jose M. Castillo T., Muhammad Arif, Wiro J. Niessen, et al.
Cancers (2020) Vol. 12, Iss. 6, pp. 1606-1606
Open Access | Times Cited: 72
Breast Tumour Classification Using Ultrasound Elastography with Machine Learning: A Systematic Scoping Review
Ye-Jiao Mao, Hyo-Jung Lim, Ming Ni, et al.
Cancers (2022) Vol. 14, Iss. 2, pp. 367-367
Open Access | Times Cited: 62
Automatic detection of Alzheimer’s disease progression: An efficient information fusion approach with heterogeneous ensemble classifiers
Shaker El–Sappagh, Farman Ali, Tamer Abuhmed, et al.
Neurocomputing (2022) Vol. 512, pp. 203-224
Closed Access | Times Cited: 62
Selective oversampling approach for strongly imbalanced data
Peter Gnip, Liberios Vokorokos, Peter Drotár
PeerJ Computer Science (2021) Vol. 7, pp. e604-e604
Open Access | Times Cited: 61
Predicting the Disease Outcome in COVID-19 Positive Patients Through Machine Learning: A Retrospective Cohort Study With Brazilian Data
Fernanda Sumika Hojo de Souza, Natália Satchiko Hojo-Souza, Edimilson Batista dos Santos, et al.
Frontiers in Artificial Intelligence (2021) Vol. 4
Open Access | Times Cited: 60
An Ensemble Approach for the Prediction of Diabetes Mellitus Using a Soft Voting Classifier with an Explainable AI
Hafsa Binte Kibria, Md. Nahiduzzaman, Md. Omaer Faruq Goni, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7268-7268
Open Access | Times Cited: 60
One Size Does Not Fit All: Methodological Considerations for Brain-Based Predictive Modeling in Psychiatry
Elvisha Dhamala, B.T. Thomas Yeo, Avram J. Holmes
Biological Psychiatry (2022) Vol. 93, Iss. 8, pp. 717-728
Closed Access | Times Cited: 60
Locally GAN-generated face detection based on an improved Xception
Beijing Chen, Xingwang Ju, Bin Xiao, et al.
Information Sciences (2021) Vol. 572, pp. 16-28
Closed Access | Times Cited: 56
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