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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:

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

Showing 26-50 of 150 citing articles:

A two-stage ensemble method for the detection of class-label noise
Maryam Sabzevari, Gonzalo Martínez-Muñoz, Alberto Suárez
Neurocomputing (2017) Vol. 275, pp. 2374-2383
Closed Access | Times Cited: 29
Investigating Random Undersampling and Feature Selection on Bioinformatics Big Data
Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, et al.
(2019)
Closed Access | Times Cited: 28
Big data classification using heterogeneous ensemble classifiers in Apache Spark based on MapReduce paradigm
Hamidreza Kadkhodaei, Amir Masoud Eftekhari Moghadam, Mehdi Dehghan
Expert Systems with Applications (2021) Vol. 183, pp. 115369-115369
Closed Access | Times Cited: 21
Adjusted stochastic gradient descent for latent factor analysis
Qing Li, Diwen Xiong, Mingsheng Shang
Information Sciences (2021) Vol. 588, pp. 196-213
Open Access | Times Cited: 20
Magnetic Force Classifier: A Novel Method for Big Data Classification
Ahmad B. Hassanat, Hossam elden Galal Ali, Ahmad S. Tarawneh, et al.
IEEE Access (2022) Vol. 10, pp. 12592-12606
Open Access | Times Cited: 14
RETRACTED ARTICLE: MapReduce-based big data framework using modified artificial neural network classifier for diabetic chronic disease prediction
R. Ramani, K. Vimala Devi, K. Ruba Soundar
Soft Computing (2020) Vol. 24, Iss. 21, pp. 16335-16345
Closed Access | Times Cited: 23
Cleaning Big Data Streams: A Systematic Literature Review
Obaid Alotaibi, Eric Pardede, Sarath Tomy
Technologies (2023) Vol. 11, Iss. 4, pp. 101-101
Open Access | Times Cited: 7
CTELC: A Constant-Time Ensemble Learning Classifier Based on KNN for Big Data
Ahmad S. Tarawneh, Eman Alamri, Najah Noori Al-Saedi, et al.
IEEE Access (2023) Vol. 11, pp. 89791-89802
Open Access | Times Cited: 7
Big Data classification: techniques and tools
Pijush Kanti Dutta Pramanik, Saurabh Pal, Moutan Mukhopadhyay, et al.
Elsevier eBooks (2021), pp. 1-43
Closed Access | Times Cited: 17
An evaluation of the information literacy of safety professionals
Yong Guo, Jing Tao, Fuqiang Yang, et al.
Safety Science (2022) Vol. 151, pp. 105734-105734
Open Access | Times Cited: 12
Variable Reduction-based Prediction through Modified Genetic Algorithm
Allemar Jhone P. Delima, Michael Ariel, P Medina Ruji
International Journal of Advanced Computer Science and Applications (2019) Vol. 10, Iss. 5
Open Access | Times Cited: 19
An Analysis of Local and Global Solutions to Address Big Data Imbalanced Classification: A Case Study with SMOTE Preprocessing
María José Basgall, Waldo Hasperué, Marcelo Naiouf, et al.
Communications in computer and information science (2019), pp. 75-85
Open Access | Times Cited: 18
A mixed solution-based high agreement filtering method for class noise detection in binary classification
Maryam Samami, Ebrahim Akbari, Moloud Abdar, et al.
Physica A Statistical Mechanics and its Applications (2020) Vol. 553, pp. 124219-124219
Closed Access | Times Cited: 17
Rotation Forest for Big Data
Mario Juez-Gil, Álvar Arnaiz‐González, Juan J. Rodríguez, et al.
Information Fusion (2021) Vol. 74, pp. 39-49
Open Access | Times Cited: 15
Data cleansing mechanisms and approaches for big data analytics: a systematic study
Mehdi Hosseinzadeh, Elham Azhir, Omed Hassan Ahmed, et al.
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 14, Iss. 1, pp. 99-111
Closed Access | Times Cited: 14
Big data analytics – enabled cyber-physical system: model and applications
Shuai Luo, Hongwei Liu, Ershi Qi
Industrial Management & Data Systems (2019) Vol. 119, Iss. 5, pp. 1072-1088
Closed Access | Times Cited: 17
From Big to Smart Data: Iterative ensemble filter for noise filtering in Big Data classification
Diego García‐Gil, Francisco Luque Sánchez, Julián Luengo, et al.
International Journal of Intelligent Systems (2019) Vol. 34, Iss. 12, pp. 3260-3274
Open Access | Times Cited: 17
Toward feature selection in big data preprocessing based on hybrid cloud-based model
Noha Shehab, Mahmoud Badawy, Hesham Ali
The Journal of Supercomputing (2021) Vol. 78, Iss. 3, pp. 3226-3265
Closed Access | Times Cited: 13
Particle-Swarm-Optimization-Enhanced Radial-Basis-Function-Kernel-Based Adaptive Filtering Applied to Maritime Data
Nikola Lopac, Irena Jurdana, Jonatan Lerga, et al.
Journal of Marine Science and Engineering (2021) Vol. 9, Iss. 4, pp. 439-439
Open Access | Times Cited: 12
An Integration of Archerfish Hunter Spotted Hyena Optimization and Improved ELM Classifier for Multicollinear Big Data Classification Tasks
S. Chidambaram, M. M. Gowthul Alam
Neural Processing Letters (2022) Vol. 54, Iss. 3, pp. 2049-2077
Closed Access | Times Cited: 8
Water atom search algorithm-based deep recurrent neural network for the big data classification based on spark architecture
Murali Dabbu, Loheswaran Karuppusamy, Dileep Pulugu, et al.
International Journal of Machine Learning and Cybernetics (2022) Vol. 13, Iss. 8, pp. 2297-2312
Closed Access | Times Cited: 8
Ensemble classifier based big data classification with hybrid optimal feature selection
J. C. Miraclin Joyce Pamila, R. Senthamil Selvi, P. Santhi, et al.
Advances in Engineering Software (2022) Vol. 173, pp. 103183-103183
Closed Access | Times Cited: 8
Entropy-Based Behavioral Closeness Filtering Chaotic Activity Method
Juan Li, Xianwen Fang, Yinkai Zuo
Mathematics (2024) Vol. 12, Iss. 5, pp. 666-666
Open Access | Times Cited: 1
Meta-learning-based sample discrimination framework for improving dynamic selection of classifiers under label noise
Che Xu, Yingming Zhu, Peng Zhu, et al.
Knowledge-Based Systems (2024) Vol. 295, pp. 111811-111811
Closed Access | Times Cited: 1
Smart Data Driven Decision Trees Ensemble Methodology for Imbalanced Big Data
Diego García‐Gil, Salvador García, Ning Xiong, et al.
Cognitive Computation (2024) Vol. 16, Iss. 4, pp. 1572-1588
Open Access | Times Cited: 1

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