Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Evolving interval-based representation for multiple classifier fusion
Tien Thanh Nguyen, Truong Dang, Vimal Anand Baghel, et al.
Knowledge-Based Systems (2020) Vol. 201-202, pp. 106034-106034
Open Access | Times Cited: 16

Showing 16 citing articles:

Weighted Ensemble of Deep Learning Models based on Comprehensive Learning Particle Swarm Optimization for Medical Image Segmentation
Truong Dang, Tien Thanh Nguyen, Carlos Francisco Moreno‐García, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2021), pp. 744-751
Open Access | Times Cited: 20
Ensemble of deep learning models with surrogate-based optimization for medical image segmentation
Truong Dang, Anh Vu Luong, Alan Wee‐Chung Liew, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2022)
Open Access | Times Cited: 10
Optimal model selection for k-nearest neighbours ensemble via sub-bagging and sub-sampling with feature weighting
Naz Gul, Wali Khan Mashwani, Muhammad Aamir, et al.
Alexandria Engineering Journal (2023) Vol. 72, pp. 157-168
Open Access | Times Cited: 5
DEFEG: Deep Ensemble with Weighted Feature Generation
Anh Vu Luong, Tien Thanh Nguyen, Kate Han, et al.
Knowledge-Based Systems (2023) Vol. 275, pp. 110691-110691
Open Access | Times Cited: 5
Classifier ensemble with evolutionary optimisation enforced random projections
Tianlan Mo, Linjing Wang, Yuliang Wu, et al.
Expert Systems with Applications (2023) Vol. 222, pp. 119845-119845
Closed Access | Times Cited: 4
VISTA: A Variable Length Genetic Algorithm and LSTM-Based Surrogate Assisted Ensemble Selection algorithm in Multiple Layers Ensemble System
Kate Han, Truong Thanh Nguyen, Viet Anh Vu, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-9
Closed Access | Times Cited: 1
Experimental Study and Comparison of Imbalance Ensemble Classifiers with Dynamic Selection Strategy
Dongxue Zhao, Xin Wang, Yashuang Mu, et al.
Entropy (2021) Vol. 23, Iss. 7, pp. 822-822
Open Access | Times Cited: 10
Waveguide quality inspection in quantum cascade lasers: A capsule neural network approach
Abd Al Rahman M. Abu Ebayyeh, Ali Mousavi, Sebelan Danishvar, et al.
Expert Systems with Applications (2022) Vol. 210, pp. 118421-118421
Open Access | Times Cited: 6
VEGAS: A Variable Length-Based Genetic Algorithm for Ensemble Selection in Deep Ensemble Learning
Kate Han, Tien Pham, Trung Hieu Vu, et al.
Lecture notes in computer science (2021), pp. 168-180
Closed Access | Times Cited: 7
Ensemble learning method for classification: Integrating data envelopment analysis with machine learning
Qingxian An, Siwei Huang, Yuxuan Han, et al.
Computers & Operations Research (2024) Vol. 169, pp. 106739-106739
Closed Access
Which classifiers are connected to others? An optimal connection framework for multi-layer ensemble systems
Truong Dang, Tien Thanh Nguyen, Alan Wee‐Chung Liew, et al.
Knowledge-Based Systems (2024), pp. 112522-112522
Open Access
Situation Element Extraction Based on Fuzzy Rough Set and Combination Classifier
Dongmei Zhao, Wang Hong-bin, Yaxing Wu
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-18
Open Access | Times Cited: 2
Hierarchical Evolutionary Ensemble of Multiple Classifiers
Xin Zhen, Fangrong Liang, Tianlan Mo, et al.
(2023)
Closed Access
Hierarchical Evolutionary Ensemble of Multiple Classifiers
Fangrong Liang, Tianlan Mo, Linjing Wang, et al.
(2023)
Closed Access
A Weighted Ensemble of Regression Methods for Gross Error Identification Problem
Daniel Dobos, Truong Dang, Tien Thanh Nguyen, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2023), pp. 413-420
Open Access
Weighted ensemble of gross error detection methods based on particle swarm optimization
Daniel Dobos, Tien Thanh Nguyen, John McCall, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2021), pp. 307-308
Open Access
Page 1

Scroll to top