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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:

An Investigation of SMOTE based Methods for Imbalanced Datasets with Data Complexity Analysis
Nur Athirah Azhar, Muhammad Syafiq Mohd Pozi, Aniza Mohamed Din, et al.
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Closed Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

AWGAN: An adaptive weighting GAN approach for oversampling imbalanced datasets
Shaopeng Guan, Xiaoyan Zhao, Yuewei Xue, et al.
Information Sciences (2024) Vol. 663, pp. 120311-120311
Closed Access | Times Cited: 20
Synthetic minority oversampling using edited displacement-based k-nearest neighbors
Alex X. Wang, Stefanka Chukova, Binh P. Nguyen
Applied Soft Computing (2023) Vol. 148, pp. 110895-110895
Open Access | Times Cited: 25
Interpretable Radiomic Signature for Breast Microcalcification Detection and Classification
Francesco Prinzi, Alessia Angela Maria Orlando, Salvatore Gaglio, et al.
Deleted Journal (2024) Vol. 37, Iss. 3, pp. 1038-1053
Open Access | Times Cited: 7
Wind Turbine Fault Diagnosis for Class-Imbalance and Small-Size Data Based on Stacked Capsule Autoencoder
Xianbo Wang, Hao Chen, Jing Zhao, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 11, pp. 12694-12704
Closed Access | Times Cited: 7
CHSMOTE: Convex hull-based synthetic minority oversampling technique for alleviating the class imbalance problem
Xiaohan Yuan, Shuyu Chen, Han Zhou, et al.
Information Sciences (2022) Vol. 623, pp. 324-341
Closed Access | Times Cited: 29
Impact of Nature of Medical Data on Machine and Deep Learning for Imbalanced Datasets: Clinical Validity of SMOTE Is Questionable
Seifollah Gholampour
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 2, pp. 827-841
Open Access | Times Cited: 7
Minimum Variance Weighted Broad Cascade Network Structure for Imbalanced Classification
Zhiwen Yu, Wuxing Chen, Kaixiang Yang, et al.
(2025)
Closed Access
SMOTE-Based Sampling for Addressing Class Imbalance
Shipra Chaudhary, Jyoti Parashar, Nidhi Malik, et al.
Lecture notes in electrical engineering (2025), pp. 63-78
Closed Access
Coupling importance sampling neural network for imbalanced data classification with multi-level learning bias
Zhan ao Huang, Wei Xiao, Zhipeng Yang, et al.
Neurocomputing (2025), pp. 129427-129427
Closed Access
Smart Diagnosis: Leveraging Machine Learning for Early Detection of Hepatitis in Healthcare
Harsh Mehta, Vyom Shah, Sashikala Mishra, et al.
International Journal of Online and Biomedical Engineering (iJOE) (2025) Vol. 21, Iss. 01, pp. 26-40
Open Access
Graph Neural Network-based Long Method and Blob Code Smell Detection
Minnan Zhang, Jingdong Jia, Luiz Fernando Capretz, et al.
Science of Computer Programming (2025), pp. 103284-103284
Open Access
Classification of anomalies in photovoltaic systems using supervised machine learning techniques and real data
João Lucas de Souza Silva, Eslam Mahmoudi, Rômullo R. M. Carvalho, et al.
Energy Reports (2024) Vol. 11, pp. 4642-4656
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 Firefly Optimised Ensemble Classification for Drifting Data Streams with Imbalance
M. Blessa Binolin Pepsi, N. K. Senthil Kumar
Knowledge-Based Systems (2024) Vol. 288, pp. 111500-111500
Closed Access | Times Cited: 2
Whale Optimization-based Synthetic Minority Oversampling Technique for Binary Imbalanced Datasets
Pooja Tyagi, Jaspreeti Singh, Anjana Gosain
Procedia Computer Science (2024) Vol. 235, pp. 250-263
Open Access | Times Cited: 2
Nearest neighbors and density-based undersampling for imbalanced data classification with class overlap
Peiqi Sun, Yanhui Du, Siyun Xiong
Neurocomputing (2024) Vol. 609, pp. 128492-128492
Closed Access | Times Cited: 2
An Anomaly Detection Method Based on Multiple LSTM-Autoencoder Models for In-Vehicle Network
Taeguen Kim, Jiyoon Kim, Ilsun You
Electronics (2023) Vol. 12, Iss. 17, pp. 3543-3543
Open Access | Times Cited: 7
WRND: A weighted oversampling framework with relative neighborhood density for imbalanced noisy classification
Min Li, Hao Zhou, Qun Liu, et al.
Expert Systems with Applications (2023) Vol. 241, pp. 122593-122593
Closed Access | Times Cited: 7
Entropy‐based hybrid sampling (EHS) method to handle class overlap in highly imbalanced dataset
Anil Kumar, Dinesh Singh, Rama Shankar Yadav
Expert Systems (2024) Vol. 41, Iss. 11
Open Access | Times Cited: 2
Granularity knowledge-sharing supervised contrastive learning framework for long-tailed fault diagnosis of rotating machinery
Shuyuan Chang, Liyong Wang, Mingkuan Shi, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112354-112354
Closed Access | Times Cited: 2
TDMO: Dynamic multi-dimensional oversampling for exploring data distribution based on extreme gradient boosting learning
Liyan Jia, Zhiping Wang, Pengfei Sun, et al.
Information Sciences (2023) Vol. 649, pp. 119621-119621
Closed Access | Times Cited: 6
IRDA: Implicit data augmentation for deep imbalanced regression
Weiyao Zhu, Ou Wu, Nan Yang
Information Sciences (2024) Vol. 677, pp. 120873-120873
Closed Access | Times Cited: 1
Effectiveness of SMOTE-ENN to Reduce Complexity in Classification Model
Ines Riantika, Bagus Sartono, Khairil Anwar Notodiputro
Indonesian Journal of Statistics and Its Applications (2024) Vol. 8, Iss. 1, pp. 70-82
Open Access | Times Cited: 1
Risk Factors for Lymphatic Filariasis in Endemic Areas of Papua Using Binary Logistic Regression Based on Synthetic Minority Over-sampling Technique
Sri Rohmanisa Simangunsong, Siskarossa Ika Oktora
Inferensi (2024) Vol. 7, Iss. 2, pp. 99-99
Open Access | Times Cited: 1
Financial Risk Early Warning Model Combining SMOTE and Random Forest for Internet Finance Companies
Zhongqin Zheng
Journal of Cases on Information Technology (2024) Vol. 26, Iss. 1, pp. 1-21
Open Access | Times Cited: 1
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