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:

Ensembles for feature selection: A review and future trends
Verónica Bolón‐Canedo, Amparo Alonso‐Betanzos
Information Fusion (2018) Vol. 52, pp. 1-12
Open Access | Times Cited: 453

Showing 1-25 of 453 citing articles:

Metaheuristic Algorithms on Feature Selection: A Survey of One Decade of Research (2009-2019)
Prachi Agrawal, Hattan F. Abutarboush, Talari Ganesh, et al.
IEEE Access (2021) Vol. 9, pp. 26766-26791
Open Access | Times Cited: 430
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities
Sergio González, Salvador García, Javier Del Ser, et al.
Information Fusion (2020) Vol. 64, pp. 205-237
Closed Access | Times Cited: 394
A Review of Feature Selection Methods for Machine Learning-Based Disease Risk Prediction
Nicholas Pudjihartono, Tayaza Fadason, Andreas W. Kempa-Liehr, et al.
Frontiers in Bioinformatics (2022) Vol. 2
Open Access | Times Cited: 370
Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights
Arman Malekloo, Ekin Özer, Mohammad AlHamaydeh, et al.
Structural Health Monitoring (2021) Vol. 21, Iss. 4, pp. 1906-1955
Open Access | Times Cited: 319
A comprehensive survey on recent metaheuristics for feature selection
Tansel Dökeroğlu, Ayça Deniz, Hakan Ezgi Kızılöz
Neurocomputing (2022) Vol. 494, pp. 269-296
Open Access | Times Cited: 227
Chaotic vortex search algorithm: metaheuristic algorithm for feature selection
Farhad Soleimanian Gharehchopogh, Isa Maleki, Zahra Asheghi Dizaji
Evolutionary Intelligence (2021) Vol. 15, Iss. 3, pp. 1777-1808
Closed Access | Times Cited: 133
Application of gradient boosting regression model for the evaluation of feature selection techniques in improving reservoir characterisation predictions
Daniel Asante Otchere, Tarek Ganat, Jude Oghenerurie Ojero, et al.
Journal of Petroleum Science and Engineering (2021) Vol. 208, pp. 109244-109244
Closed Access | Times Cited: 133
A framework for feature selection through boosting
Ahmad Alsahaf, Nicolai Petkov, Vikram Shenoy, et al.
Expert Systems with Applications (2021) Vol. 187, pp. 115895-115895
Open Access | Times Cited: 109
POSREG: proteomic signature discovered by simultaneously optimizing its reproducibility and generalizability
Fengcheng Li, Ying Zhou, Ying Zhang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Closed Access | Times Cited: 98
Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering
Sami Ben Jabeur, Nicolae Stef, Pedro Carmona
Computational Economics (2022) Vol. 61, Iss. 2, pp. 715-741
Closed Access | Times Cited: 97
Feature selection techniques for machine learning: a survey of more than two decades of research
Dipti Theng, Kishor K. Bhoyar
Knowledge and Information Systems (2023) Vol. 66, Iss. 3, pp. 1575-1637
Closed Access | Times Cited: 90
Machine Learning for Perovskite Solar Cells and Component Materials: Key Technologies and Prospects
Yiming Liu, Xinyu Tan, Jie Liang, et al.
Advanced Functional Materials (2023) Vol. 33, Iss. 17
Closed Access | Times Cited: 73
Evaluation of a deep-learning model for multispectral remote sensing of land use and crop classification
Lijun Wang, Jiayao Wang, Zhenzhen Liu, et al.
The Crop Journal (2022) Vol. 10, Iss. 5, pp. 1435-1451
Open Access | Times Cited: 69
Prediction modelling framework comparative analysis of dissolved oxygen concentration variations using support vector regression coupled with multiple feature engineering and optimization methods: A case study in China
Xizhi Nong, Laifei Cheng, Lihua Chen, et al.
Ecological Indicators (2023) Vol. 146, pp. 109845-109845
Open Access | Times Cited: 60
Anomaly-based intrusion detection system for IoT application
Mansi Bhavsar, Kaushik Roy, John Kelly, et al.
Discover Internet of Things (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 58
A hybrid filter-wrapper feature selection using Fuzzy KNN based on Bonferroni mean for medical datasets classification: A COVID-19 case study
Amukta Malyada Vommi, B. T. Krishna
Expert Systems with Applications (2023) Vol. 218, pp. 119612-119612
Closed Access | Times Cited: 57
Flood Susceptibility Assessment with Random Sampling Strategy in Ensemble Learning (RF and XGBoost)
Hancheng Ren, Bo Pang, Ping Bai, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 320-320
Open Access | Times Cited: 23
Feature selection and its combination with data over-sampling for multi-class imbalanced datasets
Chih‐Fong Tsai, Kuan-Chen Chen, Wei‐Chao Lin
Applied Soft Computing (2024) Vol. 153, pp. 111267-111267
Closed Access | Times Cited: 15
Evolutionary computation for feature selection in classification: A comprehensive survey of solutions, applications and challenges
Xianfang Song, Yong Zhang, Wanqiu Zhang, et al.
Swarm and Evolutionary Computation (2024) Vol. 90, pp. 101661-101661
Closed Access | Times Cited: 15
Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning
Zeyuan Allen-Zhu, Yuanzhi Li
arXiv (Cornell University) (2020)
Open Access | Times Cited: 132
Traffic Flow Prediction Based on Deep Learning in Internet of Vehicles
Chen Chen, Ziye Liu, Shaohua Wan, et al.
IEEE Transactions on Intelligent Transportation Systems (2020) Vol. 22, Iss. 6, pp. 3776-3789
Open Access | Times Cited: 115
Binary Harris Hawks Optimizer for High-Dimensional, Low Sample Size Feature Selection
Thaer Thaher, Ali Asghar Heidari, Majdi Mafarja, et al.
Algorithms for intelligent systems (2019), pp. 251-272
Closed Access | Times Cited: 111
Ensemble feature selection in high dimension, low sample size datasets: Parallel and serial combination approaches
Chih‐Fong Tsai, Ya-Ting Sung
Knowledge-Based Systems (2020) Vol. 203, pp. 106097-106097
Closed Access | Times Cited: 95
Identifying and Benchmarking Key Features for Cyber Intrusion Detection: An Ensemble Approach
Adel Binbusayyis, Thavavel Vaiyapuri
IEEE Access (2019) Vol. 7, pp. 106495-106513
Open Access | Times Cited: 93
Ensemble of feature selection algorithms: a multi-criteria decision-making approach
Amin Hashemi, Mohammad Bagher Dowlatshahi, Hossein Nezamabadi‐pour
International Journal of Machine Learning and Cybernetics (2021) Vol. 13, Iss. 1, pp. 49-69
Closed Access | Times Cited: 90
Page 1 - Next Page

Scroll to top