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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:

ROSEFW-RF: The winner algorithm for the ECBDL’14 big data competition: An extremely imbalanced big data bioinformatics problem
Isaac Triguero, Sara del Río, Victoria López, et al.
Knowledge-Based Systems (2015) Vol. 87, pp. 69-79
Open Access | Times Cited: 125

Showing 1-25 of 125 citing articles:

Learning from imbalanced data: open challenges and future directions
Bartosz Krawczyk
Progress in Artificial Intelligence (2016) Vol. 5, Iss. 4, pp. 221-232
Open Access | Times Cited: 2003
A survey on addressing high-class imbalance in big data
Joffrey L. Leevy, Taghi M. Khoshgoftaar, Richard A. Bauder, et al.
Journal Of Big Data (2018) Vol. 5, Iss. 1
Open Access | Times Cited: 623
Big data preprocessing: methods and prospects
Salvador García, Sergio Ramírez‐Gallego, Julián Luengo, et al.
Big Data Analytics (2016) Vol. 1, Iss. 1
Open Access | Times Cited: 561
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: 403
Imbalanced Deep Learning by Minority Class Incremental Rectification
Qi Dong, Shaogang Gong, Xiatian Zhu
IEEE Transactions on Pattern Analysis and Machine Intelligence (2018) Vol. 41, Iss. 6, pp. 1367-1381
Open Access | Times Cited: 345
Machine Learning and Integrative Analysis of Biomedical Big Data
Bilal Mirza, Wei Wang, Jie Wang, et al.
Genes (2019) Vol. 10, Iss. 2, pp. 87-87
Open Access | Times Cited: 295
kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data
Jesús Maillo, Sergio Andrés Osuna Ramírez, Isaac Triguero, et al.
Knowledge-Based Systems (2016) Vol. 117, pp. 3-15
Open Access | Times Cited: 286
Tutorial on practical tips of the most influential data preprocessing algorithms in data mining
Salvador García, Julián Luengo, Francisco Herrera
Knowledge-Based Systems (2015) Vol. 98, pp. 1-29
Closed Access | Times Cited: 279
A Pearson’s correlation coefficient based decision tree and its parallel implementation
Yashuang Mu, Xiaodong Liu, Lidong Wang
Information Sciences (2017) Vol. 435, pp. 40-58
Closed Access | Times Cited: 264
An insight into imbalanced Big Data classification: outcomes and challenges
Alberto Fernández, Sara del Río, Nitesh V. Chawla, et al.
Complex & Intelligent Systems (2017) Vol. 3, Iss. 2, pp. 105-120
Open Access | Times Cited: 208
Learning imbalanced datasets based on SMOTE and Gaussian distribution
Tingting Pan, Junhong Zhao, Wei Wu, et al.
Information Sciences (2019) Vol. 512, pp. 1214-1233
Closed Access | Times Cited: 152
Improving K-means clustering with enhanced Firefly Algorithms
Hailun Xie, Zhang Li, Chee Peng Lim, et al.
Applied Soft Computing (2019) Vol. 84, pp. 105763-105763
Open Access | Times Cited: 146
Machine learning meets omics: applications and perspectives
Rufeng Li, Lixin Li, Yungang Xu, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 109
Small data challenges for intelligent prognostics and health management: a review
Chuanjiang Li, Shaobo Li, Yixiong Feng, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 23
Enabling Smart Data: Noise filtering in Big Data classification
Diego García‐Gil, Julián Luengo, Salvador García, et al.
Information Sciences (2018) Vol. 479, pp. 135-152
Open Access | Times Cited: 150
A Novel Ensemble Method for Imbalanced Data Learning: Bagging of Extrapolation-SMOTE SVM
Qi Wang, Zhihao Luo, Jincai Huang, et al.
Computational Intelligence and Neuroscience (2017) Vol. 2017, pp. 1-11
Open Access | Times Cited: 135
On Distributed Fuzzy Decision Trees for Big Data
Armando Segatori, Francesco Marcelloni, Witold Pedrycz
IEEE Transactions on Fuzzy Systems (2017) Vol. 26, Iss. 1, pp. 174-192
Open Access | Times Cited: 133
Feature selection methods and genomic big data: a systematic review
Khawla Tadist, Saïd Najah, Nikola S. Nikolov, et al.
Journal Of Big Data (2019) Vol. 6, Iss. 1
Open Access | Times Cited: 116
Kernel density estimation based sampling for imbalanced class distribution
Firuz Kamalov
Information Sciences (2019) Vol. 512, pp. 1192-1201
Open Access | Times Cited: 112
SCARFF : A scalable framework for streaming credit card fraud detection with spark
Fabrizio Carcillo, Andrea Dal Pozzolo, Yann‐Aël Le Borgne, et al.
Information Fusion (2017) Vol. 41, pp. 182-194
Open Access | Times Cited: 94
An efficient hybrid clustering method based on improved cuckoo optimization and modified particle swarm optimization algorithms
Asgarali Bouyer, Abdolreza Hatamlou
Applied Soft Computing (2018) Vol. 67, pp. 172-182
Closed Access | Times Cited: 94
Severely imbalanced Big Data challenges: investigating data sampling approaches
Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, et al.
Journal Of Big Data (2019) Vol. 6, Iss. 1
Open Access | Times Cited: 93
The Effects of Random Undersampling with Simulated Class Imbalance for Big Data
Tawfiq Hasanin, Taghi M. Khoshgoftaar
(2018), pp. 70-79
Closed Access | Times Cited: 77
An Evolutionary Multiobjective Model and Instance Selection for Support Vector Machines With Pareto-Based Ensembles
Alejandro Rosales-Pérez, Salvador García, Jesús A. González, et al.
IEEE Transactions on Evolutionary Computation (2017) Vol. 21, Iss. 6, pp. 863-877
Closed Access | Times Cited: 68
ACO Resampling: Enhancing the performance of oversampling methods for class imbalance classification
Min Li, An Xiong, Lei Wang, et al.
Knowledge-Based Systems (2020) Vol. 196, pp. 105818-105818
Closed Access | Times Cited: 56
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