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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:

Classifier Ensemble Design for Imbalanced Data Classification: A Hybrid Approach
Uma R. Salunkhe, Suresh N. Mali
Procedia Computer Science (2016) Vol. 85, pp. 725-732
Open Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

Class Weights Random Forest Algorithm for Processing Class Imbalanced Medical Data
Min Zhu, Jing Xia, Xiaoqing Jin, et al.
IEEE Access (2018) Vol. 6, pp. 4641-4652
Open Access | Times Cited: 169
Real-time prediction of rock mass classification based on TBM operation big data and stacking technique of ensemble learning
Shaokang Hou, Yaoru Liu, Qiang Yang
Journal of Rock Mechanics and Geotechnical Engineering (2021) Vol. 14, Iss. 1, pp. 123-143
Open Access | Times Cited: 158
Strength of Stacking Technique of Ensemble Learning in Rockburst Prediction with Imbalanced Data: Comparison of Eight Single and Ensemble Models
Xin Yin, Quansheng Liu, Yucong Pan, et al.
Natural Resources Research (2021) Vol. 30, Iss. 2, pp. 1795-1815
Closed Access | Times Cited: 105
Antlion re-sampling based deep neural network model for classification of imbalanced multimodal stroke dataset
Thippa Reddy Gadekallu, Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, et al.
Multimedia Tools and Applications (2020) Vol. 81, Iss. 29, pp. 41429-41453
Closed Access | Times Cited: 80
Individual tree crown delineation and tree species classification with hyperspectral and LiDAR data
Michele Dalponte, Lorenzo Frizzera, Damiano Gianelle
PeerJ (2019) Vol. 6, pp. e6227-e6227
Open Access | Times Cited: 69
Significance of Non-Academic Parameters for Predicting Student Performance Using Ensemble Learning Techniques
Deepti Aggarwal, Sonu Mittal, Vikram Bali
International Journal of System Dynamics Applications (2021) Vol. 10, Iss. 3, pp. 38-49
Open Access | Times Cited: 48
Automated classification of lung sound signals based on empirical mode decomposition
Sibghatullah I. Khan, Ram Bilas Pachori
Expert Systems with Applications (2021) Vol. 184, pp. 115456-115456
Closed Access | Times Cited: 43
Enhancing customer retention in telecom industry with machine learning driven churn prediction
Alisha Sikri, Roshan Jameel, Sheikh Mohammad Idrees, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
Effects of class imbalance on resampling and ensemble learning for improved prediction of cyanobacteria blooms
Jihoon Shin, Seonghyeon Yoon, Young Woo Kim, et al.
Ecological Informatics (2020) Vol. 61, pp. 101202-101202
Closed Access | Times Cited: 44
A Comparison of Data Sampling Techniques for Credit Card Fraud Detection
Abdulla Muaz, Manoj Jayabalan, V. Thiruchelvam
International Journal of Advanced Computer Science and Applications (2020) Vol. 11, Iss. 6
Open Access | Times Cited: 39
A review of intelligent data analysis: Machine learning approaches for addressing class imbalance in healthcare - challenges and perspectives
Bashar Hamad Aubaidan, Rabiah Abdul Kadir, Mohamed Taha Lajb, et al.
Intelligent Data Analysis (2025)
Closed Access
Spatiotemporal data partitioning for distributed random forest algorithm: Air quality prediction using imbalanced big spatiotemporal data on spark distributed framework
Marjan Asgari, Wanhong Yang, Mahdi Farnaghi
Environmental Technology & Innovation (2022) Vol. 27, pp. 102776-102776
Open Access | Times Cited: 21
Issues and challenges of class imbalance problem in classification
Prabhjot Kaur, Anjana Gosain
International Journal of Information Technology (2018) Vol. 14, Iss. 1, pp. 539-545
Closed Access | Times Cited: 32
A Neighborhood Undersampling Stacked Ensemble (NUS-SE) in imbalanced classification
Zian Seng, Sameem Abdul Kareem, Kasturi Dewi Varathan
Expert Systems with Applications (2020) Vol. 168, pp. 114246-114246
Closed Access | Times Cited: 31
Classification of Dermoscopy Skin Lesion Color-Images Using Fractal-Deep Learning Features
Edgar Omar Molina-Molina, Selene Solorza-Calderón, Josué Álvarez-Borrego
Applied Sciences (2020) Vol. 10, Iss. 17, pp. 5954-5954
Open Access | Times Cited: 27
Machine learning ensemble approach for healthcare data analytics
Deepali Javale, Sharmishta Desai
Indonesian Journal of Electrical Engineering and Computer Science (2022) Vol. 28, Iss. 2, pp. 926-926
Open Access | Times Cited: 12
Computer-aided identification of degenerative neuromuscular diseases based on gait dynamics and ensemble decision tree classifiers
Luay Fraiwan, Omnia Hassanin
PLoS ONE (2021) Vol. 16, Iss. 6, pp. e0252380-e0252380
Open Access | Times Cited: 17
Training LSTMS with circular-shift epochs for accurate event forecasting in imbalanced time series
Xiaoqian Chen, Lalit Gupta
Expert Systems with Applications (2023) Vol. 238, pp. 121701-121701
Closed Access | Times Cited: 6
A Hybrid Approach for Class Imbalance Problem in Customer Churn Prediction: A Novel Extension to Under-sampling
Uma R. Salunkhe, Suresh N. Mali
International Journal of Intelligent Systems and Applications (2018) Vol. 10, Iss. 5, pp. 71-81
Open Access | Times Cited: 19
Imbalanced Classification in Diabetics Using Ensembled Machine Learning
Sandeep Kumar Mathivanan, Mohammad Zubair Khan, Sukumar Rajendran, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 72, Iss. 3, pp. 4397-4409
Open Access | Times Cited: 8
HS-SMOTE: Oversampling method for multiple dynamic interpolations based on regular hexagon scoring mechanism
S. Wang, Yuan Bao, Sibo Yang
Expert Systems with Applications (2024), pp. 125855-125855
Closed Access | Times Cited: 1
A new framework to deal with the class imbalance problem in urban gain modeling based on clustering and ensemble models
Mohammad Ahmadlou, Mohammad Karimi, Robert Gilmore Pontius
Geocarto International (2021) Vol. 37, Iss. 19, pp. 5669-5692
Closed Access | Times Cited: 11
Lung cancer detection from thoracic CT scans using an ensemble of deep learning models
Nandita Gautam, Abhishek Basu, Ram Sarkar
Neural Computing and Applications (2023) Vol. 36, Iss. 5, pp. 2459-2477
Closed Access | Times Cited: 4
Deep Learning based Ensemble Approach to Predict Student Academic Performance: Case Study
Yass Khudheir Salal, S.M. Abdullaev
(2020)
Closed Access | Times Cited: 10
A Hybrid VDV Model for Automatic Diagnosis of Pneumothorax Using Class-Imbalanced Chest X-Rays Dataset
Tahira Iqbal, Arslan Shaukat, Muhammad Usman Akram, et al.
IEEE Access (2022) Vol. 10, pp. 27670-27683
Open Access | Times Cited: 7
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