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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:

A Hybrid Approach Using Oversampling Technique and Cost-Sensitive Learning for Bankruptcy Prediction
Tuong Le, Minh Thanh Vo, Bay Vo, et al.
Complexity (2019) Vol. 2019, Iss. 1
Open Access | Times Cited: 75

Showing 1-25 of 75 citing articles:

HDPM: An Effective Heart Disease Prediction Model for a Clinical Decision Support System
Norma Latif Fitriyani, Muhammad Syafrudin, Ganjar Alfian, et al.
IEEE Access (2020) Vol. 8, pp. 133034-133050
Open Access | Times Cited: 281
Improving Electric Energy Consumption Prediction Using CNN and Bi-LSTM
Tuong Le, Minh Thanh Vo, Bay Vo, et al.
Applied Sciences (2019) Vol. 9, Iss. 20, pp. 4237-4237
Open Access | Times Cited: 219
A Neural Network Ensemble With Feature Engineering for Improved Credit Card Fraud Detection
Ebenezer Esenogho, Ibomoiye Domor Mienye, Theo G. Swart, et al.
IEEE Access (2022) Vol. 10, pp. 16400-16407
Open Access | Times Cited: 147
A Comprehensive Investigation of the Performances of Different Machine Learning Classifiers with SMOTE-ENN Oversampling Technique and Hyperparameter Optimization for Imbalanced Heart Failure Dataset
Mirza Muntasir Nishat, Fahim Faisal, Ishrak Jahan Ratul, et al.
Scientific Programming (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 83
A Deep Learning Ensemble With Data Resampling for Credit Card Fraud Detection
Ibomoiye Domor Mienye, Yanxia Sun
IEEE Access (2023) Vol. 11, pp. 30628-30638
Open Access | Times Cited: 67
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: 111
A deep neural networks based model for uninterrupted marine environment monitoring
Thippa Reddy Gadekallu, Swarna Priya R.M., M. Parimala, et al.
Computer Communications (2020) Vol. 157, pp. 64-75
Closed Access | Times Cited: 94
Fabrication of High-Quality Thin Solid-State Electrolyte Films Assisted by Machine Learning
Yu‐Ting Chen, Marc Duquesnoy, Darren H. S. Tan, et al.
ACS Energy Letters (2021), pp. 1639-1648
Open Access | Times Cited: 75
Credit Card Fraud Detection Using a New Hybrid Machine Learning Architecture
Esraa Faisal Malik, Khai Wah Khaw, Bahari Belaton, et al.
Mathematics (2022) Vol. 10, Iss. 9, pp. 1480-1480
Open Access | Times Cited: 66
Selective oversampling approach for strongly imbalanced data
Peter Gnip, Liberios Vokorokos, Peter Drotár
PeerJ Computer Science (2021) Vol. 7, pp. e604-e604
Open Access | Times Cited: 60
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
SMILE: Cost-sensitive multi-task learning for nuclear segmentation and classification with imbalanced annotations
Xipeng Pan, Jijun Cheng, Feihu Hou, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102867-102867
Closed Access | Times Cited: 25
Multiple Electric Energy Consumption Forecasting Using a Cluster-Based Strategy for Transfer Learning in Smart Building
Tuong Le, Minh Thanh Vo, Tung Kieu, et al.
Sensors (2020) Vol. 20, Iss. 9, pp. 2668-2668
Open Access | Times Cited: 66
A survey of recent work on video summarization: approaches and techniques
Vasudha Tiwari, Charul Bhatnagar
Multimedia Tools and Applications (2021) Vol. 80, Iss. 18, pp. 27187-27221
Closed Access | Times Cited: 47
Machine learning-based assessment of the impact of the manufacturing process on battery electrode heterogeneity
Marc Duquesnoy, Iker Boyano, Larraitz Ganborena, et al.
Energy and AI (2021) Vol. 5, pp. 100090-100090
Open Access | Times Cited: 45
Optimization strategies of neural networks for impact damage classification of RC panels in a small dataset
Quoc Hoan Doan, Tuong Le, Duc‐Kien Thai
Applied Soft Computing (2021) Vol. 102, pp. 107100-107100
Closed Access | Times Cited: 44
Integrating oversampling and ensemble-based machine learning techniques for an imbalanced dataset in dyslexia screening tests
Shahriar Kaisar, Abdullahi Chowdhury
ICT Express (2022) Vol. 8, Iss. 4, pp. 563-568
Open Access | Times Cited: 29
Eagle Strategy Arithmetic Optimisation Algorithm with Optimal Deep Convolutional Forest Based FinTech Application for Hyper-automation
M. Prakash, S. Neelakandan, Abbas Mardani, et al.
Enterprise Information Systems (2023) Vol. 17, Iss. 10
Closed Access | Times Cited: 17
A novel deep learning-based 1D-CNN-optimized GRU approach for heart disease prediction
J G, A. T.
Automatika (2025) Vol. 66, Iss. 1, pp. 79-90
Open Access
Optimizing Filter-Based Feature Selection Method Flow for Intrusion Detection System
Murtaza Ahmed Siddiqi, Wooguil Pak
Electronics (2020) Vol. 9, Iss. 12, pp. 2114-2114
Open Access | Times Cited: 48
Dealing with the Class Imbalance Problem in the Detection of Fake Job Descriptions
Minh Thanh Vo, Anh H. Vo, Trang Nguyen, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 68, Iss. 1, pp. 521-535
Open Access | Times Cited: 38
Company bankruptcy prediction framework based on the most influential features using XGBoost and stacking ensemble learning
Much Aziz Muslim, Yosza Dasril
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2021) Vol. 11, Iss. 6, pp. 5549-5549
Open Access | Times Cited: 37
Brent Oil Price Prediction Using Bi-LSTM Network
Anh H. Vo, Trang Nguyen, Tuong Le
Intelligent Automation & Soft Computing (2020) Vol. 26, Iss. 4, pp. 1307-1317
Open Access | Times Cited: 35
Cost-sensitive ensemble methods for bankruptcy prediction in a highly imbalanced data distribution: a real case from the Spanish market
Nazeeh Ghatasheh, Hossam Faris, Ruba Abukhurma, et al.
Progress in Artificial Intelligence (2020) Vol. 9, Iss. 4, pp. 361-375
Closed Access | Times Cited: 32
Deep learning accurately predicts food categories and nutrients based on ingredient statements
Peihua Ma, Zhikun Zhang, Ying Li, et al.
Food Chemistry (2022) Vol. 391, pp. 133243-133243
Open Access | Times Cited: 20
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