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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:

Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark
Sergio Ramírez‐Gallego, Bartosz Krawczyk, Salvador García, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2017) Vol. 47, Iss. 10, pp. 2727-2739
Closed Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey
Giang Nguyen, Štefan Dlugolinský, Martin Bobák, et al.
Artificial Intelligence Review (2019) Vol. 52, Iss. 1, pp. 77-124
Open Access | Times Cited: 700
Kappa Updated Ensemble for drifting data stream mining
Alberto Cano, Bartosz Krawczyk
Machine Learning (2019) Vol. 109, Iss. 1, pp. 175-218
Open Access | Times Cited: 157
Clustering-based k-nearest neighbor classification for large-scale data with neural codes representation
Antonio‐Javier Gallego, Jorge Calvo-Zaragoza, Jose J. Valero-Mas, et al.
Pattern Recognition (2017) Vol. 74, pp. 531-543
Open Access | Times Cited: 105
A novel extreme learning machine based kNN classification method for dealing with big data
Amin Shokrzade, Mohsen Ramezani, Fardin Akhlaghian Tab, et al.
Expert Systems with Applications (2021) Vol. 183, pp. 115293-115293
Closed Access | Times Cited: 87
A survey of outlier detection in high dimensional data streams
Imen Souiden, Mohamed Nazih Omri, Zaki Brahmi
Computer Science Review (2022) Vol. 44, pp. 100463-100463
Closed Access | Times Cited: 50
A periodicity-based parallel time series prediction algorithm in cloud computing environments
Jianguo Chen, Kenli Li, Huigui Rong, et al.
Information Sciences (2018) Vol. 496, pp. 506-537
Open Access | Times Cited: 75
A Systematic Literature Review and Future Perspectives for Handling Big Data Analytics in COVID-19 Diagnosis
Nagamani Tenali, G. Rama Mohan Babu
New Generation Computing (2023) Vol. 41, Iss. 2, pp. 243-280
Open Access | Times Cited: 21
Asynchronous dual-pipeline deep learning framework for online data stream classification
Pedro Lara-Benítez, Manuel Carranza-García, Jorge García–Gutiérrez, et al.
Integrated Computer-Aided Engineering (2020) Vol. 27, Iss. 2, pp. 101-119
Open Access | Times Cited: 49
Adaptive tree-like neural network: Overcoming catastrophic forgetting to classify streaming data with concept drifts
Yimin Wen, Xiang Liu, Hang Yu
Knowledge-Based Systems (2024) Vol. 293, pp. 111636-111636
Closed Access | Times Cited: 4
Distributed nearest neighbor classification for large-scale multi-label data on spark
Jorge Gonzalez-Lopez, Sebastián Ventura, Alberto Cano
Future Generation Computer Systems (2018) Vol. 87, pp. 66-82
Closed Access | Times Cited: 43
Adversarial concept drift detection under poisoning attacks for robust data stream mining
Łukasz Korycki, Bartosz Krawczyk
Machine Learning (2022) Vol. 112, Iss. 10, pp. 4013-4048
Open Access | Times Cited: 19
SMK-means: An Improved Mini Batch K-means Algorithm Based on Mapreduce with Big Data
Bo Xiao, Zhen Wang, Qi Liu, et al.
Cmc-computers Materials & Continua (2018) Vol. 56, Iss. 3, pp. 365-379
Closed Access | Times Cited: 35
Multi-Label Punitive kNN with Self-Adjusting Memory for Drifting Data Streams
Martha Roseberry, Bartosz Krawczyk, Alberto Cano
ACM Transactions on Knowledge Discovery from Data (2019) Vol. 13, Iss. 6, pp. 1-31
Closed Access | Times Cited: 33
Optimization Driven MapReduce Framework for Indexing and Retrieval of Big Data
Hemn Barzan Abdalla, A. Mohammed, Mustafa A. Al Sibahee
KSII Transactions on Internet and Information Systems (2020) Vol. 14, Iss. 5
Open Access | Times Cited: 30
An experimental review of the ensemble-based data stream classification algorithms in non-stationary environments
Shirin Khezri, Jafar Tanha, Negin Samadi
Computers & Electrical Engineering (2024) Vol. 118, pp. 109420-109420
Open Access | Times Cited: 3
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
FedStream: Prototype-Based Federated Learning on Distributed Concept-Drifting Data Streams
Cobbinah B. Mawuli, Liwei Che, Jay Kumar, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 11, pp. 7112-7124
Closed Access | Times Cited: 8
Recent Trends in Distributed Online Stream Processing Platform for Big Data: Survey
Ahmed Hussein Ali, Mahmood Zaki Abdullah
(2018), pp. 140-145
Closed Access | Times Cited: 27
Learning Graph Similarity With Large Spectral Gap
Zongze Wu, Sihui Liu, Chris Ding, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2019) Vol. 51, Iss. 3, pp. 1590-1600
Closed Access | Times Cited: 25
Insights Into Efficient k-Nearest Neighbor Classification With Convolutional Neural Codes
Antonio‐Javier Gallego, Jorge Calvo-Zaragoza, Juan Ramón Rico-Juan
IEEE Access (2020) Vol. 8, pp. 99312-99326
Open Access | Times Cited: 23
An Anomaly Data Mining Method for Mass Sensor Networks Using Improved PSO Algorithm Based on Spark Parallel Framework
Jingzhen Yuan
Journal of Grid Computing (2020) Vol. 18, Iss. 2, pp. 251-261
Closed Access | Times Cited: 21
Adaptive Exponential Bat algorithm and deep learning for big data classification
Sana Mujeeb, R. Praveen Sam, K. Reddy Madhavi
Sadhana (2021) Vol. 46, Iss. 1
Closed Access | Times Cited: 18
Evolutionary prototype selection for multi-output regression
Mirosław Kordos, Álvar Arnaiz‐González, César García‐Osorio
Neurocomputing (2019) Vol. 358, pp. 309-320
Open Access | Times Cited: 21
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
The L2 convergence of stream data mining algorithms based on probabilistic neural networks
Danuta Rutkowska, Piotr Duda, Jinde Cao, et al.
Information Sciences (2023) Vol. 631, pp. 346-368
Closed Access | Times Cited: 6
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