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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:

Evolutionary undersampling for extremely imbalanced big data classification under apache spark
Isaac Triguero, Mikel Galar, Dolores Merino, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2016), pp. 640-647
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

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
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
Resampling imbalanced data for network intrusion detection datasets
Sikha Bagui, Kunqi Li
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 202
A survey and analysis of intrusion detection models based on CSE-CIC-IDS2018 Big Data
Joffrey L. Leevy, Taghi M. Khoshgoftaar
Journal Of Big Data (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 170
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
Gaussian Distribution Based Oversampling for Imbalanced Data Classification
Yuxi Xie, Min Qiu, Haibo Zhang, et al.
IEEE Transactions on Knowledge and Data Engineering (2020) Vol. 34, Iss. 2, pp. 667-679
Closed Access | Times Cited: 89
Multi-class imbalanced big data classification on Spark
William C. Sleeman, Bartosz Krawczyk
Knowledge-Based Systems (2020) Vol. 212, pp. 106598-106598
Closed Access | Times Cited: 79
Automatic design of machine learning via evolutionary computation: A survey
Nan Li, Lianbo Ma, Tiejun Xing, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110412-110412
Closed Access | Times Cited: 27
A Survey on Unbalanced Classification: How Can Evolutionary Computation Help?
Wenbin Pei, Bing Xue, Mengjie Zhang, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 2, pp. 353-373
Closed Access | Times Cited: 19
A literature survey on various aspect of class imbalance problem in data mining
Shivani Goswami, Anil Kumar Singh
Multimedia Tools and Applications (2024) Vol. 83, Iss. 27, pp. 70025-70050
Closed Access | Times Cited: 5
Fuzzy integral-based ELM ensemble for imbalanced big data classification
Junhai Zhai, Sufang Zhang, Mingyang Zhang, et al.
Soft Computing (2018) Vol. 22, Iss. 11, pp. 3519-3531
Closed Access | Times Cited: 46
A combination of clustering-based under-sampling with ensemble methods for solving imbalanced class problem in intelligent systems
Mohammad Saleh Ebrahimi Shahabadi, Hamed Tabrizchi, Marjan Kuchaki Rafsanjani, et al.
Technological Forecasting and Social Change (2021) Vol. 169, pp. 120796-120796
Closed Access | Times Cited: 32
Bio-inspired computation for big data fusion, storage, processing, learning and visualization: state of the art and future directions
Ana I. Torre-Bastida, Josu Díaz-de-Arcaya, Eneko Osaba, et al.
Neural Computing and Applications (2021)
Open Access | Times Cited: 28
A parallel metaheuristic data clustering framework for cloud
Chun‐Wei Tsai, Shi-Jui Liu, Yi‐Chung Wang
Journal of Parallel and Distributed Computing (2017) Vol. 116, pp. 39-49
Closed Access | Times Cited: 34
Optimized Deep Neuro Fuzzy Network for Cyber Forensic Investigation in Big Data-Based IoT Infrastructures
Suman Thapaliya, Pawan Kumar Sharma
International Journal of Information Security and Privacy (2023) Vol. 17, Iss. 1, pp. 1-22
Open Access | Times Cited: 10
A Dynamic Spark-based Classification Framework for Imbalanced Big Data
Nahla B. Abdel-Hamid, Sally M. Elghamrawy, Hesham Ali, et al.
Journal of Grid Computing (2018) Vol. 16, Iss. 4, pp. 607-626
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
Generative learning for imbalanced data using the Gaussian mixed model
Yuxi Xie, Lizhi Peng, Zhenxiang Chen, et al.
Applied Soft Computing (2019) Vol. 79, pp. 439-451
Closed Access | Times Cited: 24
Investigating class rarity in big data
Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, et al.
Journal Of Big Data (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 21
Radial-Based Approach to Imbalanced Data Oversampling
Michał Koziarski, Bartosz Krawczyk, Michał Woźniak
Lecture notes in computer science (2017), pp. 318-327
Closed Access | Times Cited: 24
A first attempt on global evolutionary undersampling for imbalanced big data
Isaac Triguero, Mikel Galar, Humberto Bustince, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2017)
Open Access | Times Cited: 23
A scalable and distributed dendritic cell algorithm for big data classification
Zaineb Chelly Dagdia
Swarm and Evolutionary Computation (2018) Vol. 50, pp. 100432-100432
Open Access | Times Cited: 22
Comprehensive Analysis of Various Big Data Classification Techniques: A Challenging Overview
Hemn Barzan Abdalla, Belal Abuhaija
Journal of Information & Knowledge Management (2022) Vol. 22, Iss. 01
Closed Access | Times Cited: 11
Bagging Using Instance-Level Difficulty for Multi-Class Imbalanced Big Data Classification on Spark
William C. Sleeman, Bartosz Krawczyk
2021 IEEE International Conference on Big Data (Big Data) (2019), pp. 2484-2493
Closed Access | Times Cited: 14
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