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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 Density-Based Random Forest for Imbalanced Data Classification
Jia Dong, Quan Qian
Future Internet (2022) Vol. 14, Iss. 3, pp. 90-90
Open Access | Times Cited: 19

Showing 19 citing articles:

Machine learning techniques for diagrid building design: Architectural–Structural correlations with feature selection and data augmentation
Pooyan Kazemi, Alireza Entezami, Aldo Ghisi
Journal of Building Engineering (2024) Vol. 86, pp. 108766-108766
Open Access | Times Cited: 4
OUBoost: boosting based over and under sampling technique for handling imbalanced data
Sahar Hassanzadeh Mostafaei, Jafar Tanha
International Journal of Machine Learning and Cybernetics (2023) Vol. 14, Iss. 10, pp. 3393-3411
Closed Access | Times Cited: 8
A Survey Study on Proposed Solutions for Imbalanced Big Data
Shaymaa Ahmed Razoqi, Ghayda Al-Talib
Iraqi Journal of Science (2024), pp. 1648-1662
Open Access | Times Cited: 1
Cost-Sensitive Variational Autoencoding Classifier for Imbalanced Data Classification
Fen Liu, Quan Qian
Algorithms (2022) Vol. 15, Iss. 5, pp. 139-139
Open Access | Times Cited: 6
Mitigating Imbalanced Data in Online Social Networks using Stratified K-Means Sampling
P. Kathiravan, P. Shanmugavadivu, R. Saranya
2022 7th International Conference on Business and Industrial Research (ICBIR) (2023), pp. 883-888
Closed Access | Times Cited: 3
Opinion Mining with Density Forests
Phuc Quang Tran, Dung Ngoc Le Ha, Hanh Thi My Le, et al.
EAI Endorsed Transactions on Context-aware Systems and Applications (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 3
Predicting Yield Strength and Plastic Elongation in Body-Centered Cubic High-Entropy Alloys
Diego Ibarra Hoyos, Quentin Simmons, S. J. Poon
Materials (2024) Vol. 17, Iss. 17, pp. 4422-4422
Open Access
Comparing Machine Learning Models for Strength and Ductility in High-Entropy Alloys
Diego Ibarra Hoyos, Quentin Simmons, S. J. Poon
Deleted Journal (2024)
Open Access
Internet Video Delivery Improved by Super-Resolution with GAN
João da Mata Libório Filho, César A. V. Melo, Marcos Silva
Future Internet (2022) Vol. 14, Iss. 12, pp. 364-364
Open Access | Times Cited: 3
Predicting COVID-19 Outbreaks: Leveraging Machine Learning and Deep Learning Models for Trend Analysis
D. Kamelesun, R. Saranya, P. Kathiravan
Lecture notes in networks and systems (2024), pp. 535-549
Closed Access
Imbalanced Data Classification Using Oversampling and Automatic Feature Selection Methods for Undergraduate Student Career Prediction
Radiah Haque, Hui-Ngo Goh, Choo‐Yee Ting, et al.
(2024) Vol. 12, pp. 247-252
Closed Access
A framework of Polar CanisFel optimization-based deep ensemble classifier with graph embedding for imbalanced data classification
Vikas Gajananrao Bhowate, T. Hanumantha Reddy
Web Intelligence (2024), pp. 1-22
Closed Access
Predicting Online Shopping Behavior: Using Machine Learning and Google Analytics to Classify User Engagement
Dimitris C. Gkikas, Prokopis K. Theodoridis
Applied Sciences (2024) Vol. 14, Iss. 23, pp. 11403-11403
Open Access
Self-paced Ensemble and Big Data Identification: A Classification of Substantial Imbalance Computational Analysis
Shahzadi Bano, Weimei Zhi, Qiu Bao-zhi, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
IMBoost: A New Weighting Factor for Boosting to Improve the Classification Performance of Imbalanced Data
SeyedEhsan Roshan, Jafar Tanha, Farzad Hallaji, et al.
Complexity (2023) Vol. 2023, pp. 1-19
Open Access | Times Cited: 1
Self-paced ensemble and big data identification: a classification of substantial imbalance computational analysis
Shahzadi Bano, Weimei Zhi, Qiu Bao-zhi, et al.
The Journal of Supercomputing (2023) Vol. 80, Iss. 7, pp. 9848-9869
Open Access | Times Cited: 1
Applying a Random Forest Approach to Imbalanced Dataset on Network Monitoring Analysis
Qian Chen, Xing Zhang, Ying Wang, et al.
Communications in computer and information science (2022), pp. 28-37
Closed Access | Times Cited: 1
Research on Data Classification and Grading Method Based on After sales Energy Replenishment Scenarios
Jingjing Wang, Lei Wang, Shao‐Jie Gao, et al.
(2022), pp. 11-15
Closed Access | Times Cited: 1
Imboost: A New Weighting Factor for Boosting to Handle Imbalanced Problems
SeyedEhsan Roshan, Jafar Tanha, Farzad Hallaji, et al.
(2023)
Closed Access
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