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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 novel synthetic minority oversampling technique based on relative and absolute densities for imbalanced classification
Ruijuan Liu
Applied Intelligence (2022) Vol. 53, Iss. 1, pp. 786-803
Closed Access | Times Cited: 14

Showing 14 citing articles:

Hybrid density-based adaptive weighted collaborative representation for imbalanced learning
Yanting Li, Shuai Wang, Junwei Jin, et al.
Applied Intelligence (2024) Vol. 54, Iss. 5, pp. 4334-4351
Closed Access | Times Cited: 9
Evaluation of Synthetic Categorical Data Generation Techniques for Predicting Cardiovascular Diseases and Post-Hoc Interpretability of the Risk Factors
Clara García-Vicente, David Chushig-Muzo, Inmaculada Mora-Jiménez, et al.
Applied Sciences (2023) Vol. 13, Iss. 7, pp. 4119-4119
Open Access | Times Cited: 16
Automatic Depression Detection Among Higher Education Students Based on DeepFM
Ziling Ruan, Pengfei Yang, Jiayang Huang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Open Access | Times Cited: 3
CTGAN-MOS: Conditional Generative Adversarial Network Based Minority-Class-Augmented Oversampling Scheme for Imbalanced Problems
Abdul Majeed, Seong Oun Hwang
IEEE Access (2023) Vol. 11, pp. 85878-85899
Open Access | Times Cited: 9
Hybrid Oversampling and Undersampling Method (HOUM) via Safe-Level SMOTE and Support Vector Machine
Duygu Yılmaz Eroğlu, Mestan Sahin Pir
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10438-10438
Open Access | Times Cited: 2
An innovative data-driven AI approach for detecting and isolating faults in gas turbines at power plants
Mohammad Hussein Amiri, Nastaran Mehrabi Hashjin, Maryam Khanian Najafabadi, et al.
Expert Systems with Applications (2024) Vol. 263, pp. 125497-125497
Closed Access | Times Cited: 2
Coarse-to-fine knowledge transfer based long-tailed classification via bilateral-sampling network
Junyan Xu, Wei Zhao, Hong Zhao
International Journal of Machine Learning and Cybernetics (2023) Vol. 14, Iss. 10, pp. 3323-3336
Closed Access | Times Cited: 5
DDSC-SMOTE: an imbalanced data oversampling algorithm based on data distribution and spectral clustering
Xinqi Li, Qicheng Liu
The Journal of Supercomputing (2024) Vol. 80, Iss. 12, pp. 17760-17789
Closed Access | Times Cited: 1
CMAGAN: classifier-aided minority augmentation generative adversarial networks for industrial imbalanced data and its application to fault prediction
Wenjie Wang, Zhao Liu, Ping Zhu
Advances in Manufacturing (2024) Vol. 12, Iss. 3, pp. 603-618
Closed Access | Times Cited: 1
Evaluation of Synthetic Categorical Data Generation Techniques for Predicting Cardiovascular Diseases and Post-hoc Interpretability of the Risk Factors
Clara García-Vicente, David Chushig-Muzo, Inmaculada Mora-Jiménez, et al.
(2023)
Open Access | Times Cited: 4
Comparative Evaluation of Imbalanced Data Management Techniques for Solving Classification Problems on Imbalanced Datasets
Tanawan Watthaisong, Khamron Sunat, Nipotepat Muangkote
Statistics Optimization & Information Computing (2024) Vol. 12, Iss. 2, pp. 547-570
Open Access
GDSMOTE: A Novel Synthetic Oversampling Method for High-Dimensional Imbalanced Financial Data
Libin Hu, Yun Feng Zhang
Mathematics (2024) Vol. 12, Iss. 24, pp. 4036-4036
Open Access
AGO-FT: An adaptive guided oversampling based on fast space division and trustworthy sampling space for imbalanced noisy datasets
Yi Deng, Min Wu, Yan Ma
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 529-538
Closed Access
A Hybrid Undersampling-SMOTE Method for Imbalanced Big Data Classification
Shaymaa Ahmed Razoqi, Ghayda Al-Talib
Mağallaẗ al-tarbiyaẗ wa-al-ʻilm (2023) Vol. 32, Iss. 4, pp. 81-90
Open Access
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