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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:

SMOTE-NaN-DE: Addressing the noisy and borderline examples problem in imbalanced classification by natural neighbors and differential evolution
Junnan Li, Qingsheng Zhu, Quanwang Wu, et al.
Knowledge-Based Systems (2021) Vol. 223, pp. 107056-107056
Closed Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

A novel two-phase clustering-based under-sampling method for imbalanced classification problems
Aida Farshidvard, F. Hooshmand, S.A. MirHassani
Expert Systems with Applications (2022) Vol. 213, pp. 119003-119003
Closed Access | Times Cited: 38
A hybrid sampling method for highly imbalanced and overlapped data classification with complex distribution
Yansong Liu, Li Zhu, Lei Ding, et al.
Information Sciences (2024) Vol. 661, pp. 120117-120117
Closed Access | Times Cited: 9
An improved generative adversarial network to oversample imbalanced datasets
Tingting Pan, Witold Pedrycz, Jie Yang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107934-107934
Closed Access | Times Cited: 7
Sampling technique for noisy and borderline examples problem in imbalanced classification
Abhishek Dixit, Ashish Mani
Applied Soft Computing (2023) Vol. 142, pp. 110361-110361
Closed Access | Times Cited: 19
Self-adaptive oversampling method based on the complexity of minority data in imbalanced datasets classification
Xinmin Tao, Xinyue Guo, Yujia Zheng, et al.
Knowledge-Based Systems (2023) Vol. 277, pp. 110795-110795
Closed Access | Times Cited: 18
An adversarial transfer imbalanced classification framework via cross-category commonality information extraction and joint discrimination
Zhihang Meng, Xin Gao, Huang Tan, et al.
Expert Systems with Applications (2025), pp. 126465-126465
Closed Access
A non-parameter oversampling approach for imbalanced data classification based on hybrid natural neighbors
Junyue Lin, Lu Liang
Applied Intelligence (2025) Vol. 55, Iss. 5
Closed Access
A synergistic oversampling technique with differential evolution and safe level synthetic minority oversampling
Ahmet Cevahir Çınar
Applied Soft Computing (2025), pp. 112819-112819
Closed Access
NanBDOS: Adaptive and parameter-free borderline oversampling via natural neighbor search for class-imbalance learning
Qiangkui Leng, Jiamei Guo, Erjie Jiao, et al.
Knowledge-Based Systems (2023) Vol. 274, pp. 110665-110665
Closed Access | Times Cited: 14
A meta-learning imbalanced classification framework via boundary enhancement strategy with Bayes imbalance impact index
Qiangwei Li, Xin Gao, Heping Lu, et al.
Neural Networks (2025) Vol. 185, pp. 107126-107126
Closed Access
An efficient framework based on local multi-representatives and noise-robust synthetic example generation for self-labeled semi-supervised classification
Junnan Li, Shun Fu, Wei Fu, et al.
Neural Networks (2025) Vol. 185, pp. 107142-107142
Closed Access
Hybridization of DEBOHID with ENN algorithm for highly imbalanced datasets
Sedat Korkmaz
Engineering Science and Technology an International Journal (2025) Vol. 63, pp. 101976-101976
Closed Access
Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization
Alejandro Rosales-Pérez, Salvador García, Francisco Herrera
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 8, pp. 4735-4747
Open Access | Times Cited: 20
An improved brain storm optimization algorithm with new solution generation strategies for classification
Yu Xue, Qi Zhang, Yan Zhao
Engineering Applications of Artificial Intelligence (2022) Vol. 110, pp. 104677-104677
Closed Access | Times Cited: 17
A hybrid imbalanced classification model based on data density
Shengnan Shi, Jie Li, Dan Zhu, et al.
Information Sciences (2022) Vol. 624, pp. 50-67
Closed Access | Times Cited: 16
Oversampling framework based on sample subspace optimization with accelerated binary particle swarm optimization for imbalanced classification
Junnan Li
Applied Soft Computing (2024) Vol. 162, pp. 111708-111708
Closed Access | Times Cited: 3
Oversampling multi-label data based on natural neighbor and label correlation
Bin Liu, Ao Zhou, Bingkun Wei, et al.
Expert Systems with Applications (2024) Vol. 259, pp. 125257-125257
Closed Access | Times Cited: 3
Weighted oversampling algorithms for imbalanced problems and application in prediction of streamflow
Hao Zhou, Xianyong Dong, Shuyin Xia, et al.
Knowledge-Based Systems (2021) Vol. 229, pp. 107306-107306
Closed Access | Times Cited: 21
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
An extension of Synthetic Minority Oversampling Technique based on Kalman filter for imbalanced datasets
Thejas G.S., Yashas Hariprasad, S. S. Iyengar, et al.
Machine Learning with Applications (2022) Vol. 8, pp. 100267-100267
Open Access | Times Cited: 13
Gene-CWGAN: a data enhancement method for gene expression profile based on improved CWGAN-GP
Fei Han, Shaojun Zhu, Qing-Hua Ling, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 19, pp. 16325-16339
Closed Access | Times Cited: 12
Noise simulation in classification with the noisemodel R package: Applications analyzing the impact of errors with chemical data
José A. Sáez
Journal of Chemometrics (2023) Vol. 37, Iss. 5
Open Access | Times Cited: 7
Alleviating Class Imbalance Issue in Software Fault Prediction Using DBSCAN-Based Induced Graph Under-Sampling Method
Kirti Bhandari, Kuldeep Kumar, Amrit Lal Sangal
Arabian Journal for Science and Engineering (2024) Vol. 49, Iss. 9, pp. 12589-12627
Closed Access | Times Cited: 2
Interpretable high-stakes decision support system for credit default forecasting
Weixin Sun, X. J. Zhang, Ming‐Hao Li, et al.
Technological Forecasting and Social Change (2023) Vol. 196, pp. 122825-122825
Closed Access | Times Cited: 5
Noise Models in Classification: Unified Nomenclature, Extended Taxonomy and Pragmatic Categorization
José A. Sáez
Mathematics (2022) Vol. 10, Iss. 20, pp. 3736-3736
Open Access | Times Cited: 9
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