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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:

Geometric SMOTE a geometrically enhanced drop-in replacement for SMOTE
Georgios Douzas, Fernando Bação
Information Sciences (2019) Vol. 501, pp. 118-135
Open Access | Times Cited: 208

Showing 1-25 of 208 citing articles:

DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data
Damien Dablain, Bartosz Krawczyk, Nitesh V. Chawla
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 9, pp. 6390-6404
Open Access | Times Cited: 269
RCSMOTE: Range-Controlled synthetic minority over-sampling technique for handling the class imbalance problem
Paria Soltanzadeh, Mahdi Hashemzadeh
Information Sciences (2020) Vol. 542, pp. 92-111
Closed Access | Times Cited: 140
A review of ensemble learning and data augmentation models for class imbalanced problems: Combination, implementation and evaluation
Azal Ahmad Khan, Omkar Chaudhari, Rohitash Chandra
Expert Systems with Applications (2023) Vol. 244, pp. 122778-122778
Open Access | Times Cited: 117
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
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
Predicting Coronary Heart Disease Using an Improved LightGBM Model: Performance Analysis and Comparison
Huazhong Yang, Zhongju Chen, Yang Huajian, et al.
IEEE Access (2023) Vol. 11, pp. 23366-23380
Open Access | Times Cited: 58
Tabular and latent space synthetic data generation: a literature review
João Fonseca, Fernando Bação
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 49
RSMOTE: A self-adaptive robust SMOTE for imbalanced problems with label noise
Baiyun Chen, Shuyin Xia, Zizhong Chen, et al.
Information Sciences (2020) Vol. 553, pp. 397-428
Closed Access | Times Cited: 130
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
Multi-class imbalanced big data classification on Spark
William C. Sleeman, Bartosz Krawczyk
Knowledge-Based Systems (2020) Vol. 212, pp. 106598-106598
Closed Access | Times Cited: 79
A New Oversampling Method Based on the Classification Contribution Degree
Zhenhao Jiang, Tingting Pan, Chao Zhang, et al.
Symmetry (2021) Vol. 13, Iss. 2, pp. 194-194
Open Access | Times Cited: 68
Product backorder prediction using deep neural network on imbalanced data
Md Shajalal, Petr Hájek, Mohammad Zoynul Abedin
International Journal of Production Research (2021) Vol. 61, Iss. 1, pp. 302-319
Closed Access | Times Cited: 68
A novel SMOTE-based resampling technique trough noise detection and the boosting procedure
Fatih Sağlam, Mehmet Ali Cengiz
Expert Systems with Applications (2022) Vol. 200, pp. 117023-117023
Closed Access | Times Cited: 51
A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research
Miriam Seoane Santos, Pedro Henriques Abreu, Nathalie Japkowicz, et al.
Information Fusion (2022) Vol. 89, pp. 228-253
Open Access | Times Cited: 49
Geometric SMOTE for regression
Luís Camacho, Georgios Douzas, Fernando Bação
Expert Systems with Applications (2022) Vol. 193, pp. 116387-116387
Closed Access | Times Cited: 47
A method for satellite time series anomaly detection based on fast-DTW and improved-KNN
Langfu Cui, Qingzhen Zhang, Yan Shi, et al.
Chinese Journal of Aeronautics (2022) Vol. 36, Iss. 2, pp. 149-159
Open Access | Times Cited: 44
A Synthetic Minority Oversampling Technique Based on Gaussian Mixture Model Filtering for Imbalanced Data Classification
Zhaozhao Xu, Derong Shen, Yue Kou, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 3, pp. 3740-3753
Closed Access | Times Cited: 41
Solving the class imbalance problem using a counterfactual method for data augmentation
Mohammed Temraz, Mark T. Keane
Machine Learning with Applications (2022) Vol. 9, pp. 100375-100375
Open Access | Times Cited: 40
On Supervised Class-Imbalanced Learning: An Updated Perspective and Some Key Challenges
Swagatam Das, Sankha Subhra Mullick, Ivan Zelinka
IEEE Transactions on Artificial Intelligence (2022) Vol. 3, Iss. 6, pp. 973-993
Closed Access | Times Cited: 40
A neural network learning algorithm for highly imbalanced data classification
Zhan ao Huang, Yongsheng Sang, Yanan Sun, et al.
Information Sciences (2022) Vol. 612, pp. 496-513
Closed Access | Times Cited: 37
A semi-supervised resampling method for class-imbalanced learning
Zhen Jiang, Lingyun Zhao, Yu Lu, et al.
Expert Systems with Applications (2023) Vol. 221, pp. 119733-119733
Closed Access | Times Cited: 30
Adaptive SV-Borderline SMOTE-SVM algorithm for imbalanced data classification
Jiaqi Guo, Haiyan Wu, Xiaolei Chen, et al.
Applied Soft Computing (2023) Vol. 150, pp. 110986-110986
Closed Access | Times Cited: 24
Imbalanced complemented subspace representation with adaptive weight learning
Yanting Li, Shuai Wang, Junwei Jin, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123555-123555
Closed Access | Times Cited: 13
XIDINTFL-VAE: XGBoost-based intrusion detection of imbalance network traffic via class-wise focal loss variational autoencoder
Oluwadamilare Harazeem Abdulganiyu, Taha Ait Tchakoucht, Yakub Kayode Saheed, et al.
The Journal of Supercomputing (2024) Vol. 81, Iss. 1
Closed Access | Times Cited: 8
Imbalanced Learning in Land Cover Classification: Improving Minority Classes’ Prediction Accuracy Using the Geometric SMOTE Algorithm
Georgios Douzas, Fernando Bação, João Fonseca, et al.
Remote Sensing (2019) Vol. 11, Iss. 24, pp. 3040-3040
Open Access | Times Cited: 69
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