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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:

Efficient hybrid oversampling and intelligent undersampling for imbalanced big data classification
Carla Vairetti, José Luis Assadi, Sebastián Maldonado
Expert Systems with Applications (2024) Vol. 246, pp. 123149-123149
Open Access | Times Cited: 16

Showing 16 citing articles:

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
Dynamic Balanced Training Regimes: Elevating model performance through iterative training with imbalanced superset and balanced subset alternation
Mrityunjoy Gain, Asadov Amirjon, Sumit Kumar Dam, et al.
Expert Systems with Applications (2025), pp. 126423-126423
Closed Access
Addressing imbalance in health data: Synthetic minority oversampling using deep learning
Alex X. Wang, Viet-Tuan Le, Hau Nguyen Trung, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109830-109830
Open Access
Addressing Class Imbalance Problem in Health Data Classification: Practical Application From an Oversampling Viewpoint
Edmund Fosu Agyemang, Joseph Agyapong Mensah, Eric Nyarko, et al.
Applied Computational Intelligence and Soft Computing (2025) Vol. 2025, Iss. 1
Open Access
A robust ensemble classifier for imbalanced data via adaptive variety oversampling and embedded sampling rate
Jun Dou, Yan Song, Guoliang Wei, et al.
Applied Soft Computing (2025), pp. 112922-112922
Closed Access
Granular computing framework for credit card fraud detection
Ayoub Mniai, T.K. Abdel-Hamid, Jebari Khalid
Alexandria Engineering Journal (2025) Vol. 121, pp. 387-401
Closed Access
Multidimensional Perspective to Data Preprocessing for Model Cognition Verity
Simeon Okechukwu Ajakwe, Opeyemi Deji-Oloruntoba, Samuel Oluwadamilare Olatunbosun, et al.
Advances in systems analysis, software engineering, and high performance computing book series (2024), pp. 15-57
Closed Access | Times Cited: 3
Propensity score oversampling and matching for uplift modeling
Carla Vairetti, Franco Gennaro, Sebastián Maldonado
European Journal of Operational Research (2024) Vol. 316, Iss. 3, pp. 1058-1069
Closed Access | Times Cited: 2
Global organelle profiling reveals subcellular localization and remodeling at proteome scale
Marco Y. Hein, Duo Peng, Verina Todorova, et al.
Cell (2024)
Open Access | Times Cited: 1
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
The key to green water-preserved mining: Prediction and integration of mining rock failure height by big data fusion simulation algorithm
Yongjie Li, Huiyong Yin, Fangying Dong, et al.
Process Safety and Environmental Protection (2024)
Closed Access
A dynamic ensemble learning based data mining framework for medical imbalanced big data
Rithani Mohan, R Prasanna Kumar, A. F. Ali
Knowledge-Based Systems (2024), pp. 112947-112947
Closed Access
Enhancing Classification of Imbalanced Data using Diffusion Process
Vikram Velankar, Sachin Patil
(2024)
Open Access
A Novel Adaptive Hyperspherical Oversampling Method Based on Extended Natural Neighborhood for Imbalanced Classification
Zhou Yu, Xuezhen Yue, Jiguang Li, et al.
(2024)
Closed Access
A Novel Advanced Performance Ensemble-Based Model (APEM) Framework: A Case Study on Diabetes Prediction
Arda Yunianta
Journal of Advances in Information Technology (2024) Vol. 15, Iss. 10, pp. 1193-1204
Open Access
SGO: An Innovative Oversampling Approach for Imbalanced Datasets Using SVM and Genetic Algorithms
Jianfeng Deng, Dongmei Wang, Jinan Gu, et al.
Information Sciences (2024), pp. 121584-121584
Closed Access
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