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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:

A survey on graphic processing unit computing for large‐scale data mining
Alberto Cano
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2017) Vol. 8, Iss. 1
Open Access | Times Cited: 80

Showing 1-25 of 80 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
Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges
Yash Raj Shrestha, Vaibhav Krishna, Georg von Krogh
Journal of Business Research (2020) Vol. 123, pp. 588-603
Open Access | Times Cited: 152
Deep learning in electron microscopy
Jeffrey M. Ede
Machine Learning Science and Technology (2020) Vol. 2, Iss. 1, pp. 011004-011004
Open Access | Times Cited: 83
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
A clique-based approach for co-location pattern mining
Xuguang Bao, Lizhen Wang
Information Sciences (2019) Vol. 490, pp. 244-264
Closed Access | Times Cited: 72
Deep Learning for Proactive Network Monitoring and Security Protection
Giang Nguyen, Štefan Dlugolinský, Viet Tran, et al.
IEEE Access (2020) Vol. 8, pp. 19696-19716
Open Access | Times Cited: 59
A Two-Phase Anomaly Detection Model for Secure Intelligent Transportation Ride-Hailing Trajectories
Asma Belhadi, Youcef Djenouri, Gautam Srivastava, et al.
IEEE Transactions on Intelligent Transportation Systems (2020) Vol. 22, Iss. 7, pp. 4496-4506
Closed Access | Times Cited: 55
A review on big data based parallel and distributed approaches of pattern mining
Sunil Kumar, Krishna Kumar Mohbey
Journal of King Saud University - Computer and Information Sciences (2019) Vol. 34, Iss. 5, pp. 1639-1662
Open Access | Times Cited: 54
Exploiting GPU and cluster parallelism in single scan frequent itemset mining
Youcef Djenouri, Djamel Djenouri, Asma Belhadi, et al.
Information Sciences (2018) Vol. 496, pp. 363-377
Closed Access | Times Cited: 52
Evolving rule-based classifiers with genetic programming on GPUs for drifting data streams
Alberto Cano, Bartosz Krawczyk
Pattern Recognition (2018) Vol. 87, pp. 248-268
Closed Access | Times Cited: 48
Trajectory Outlier Detection
Asma Belhadi, Youcef Djenouri, Jerry Chun‐Wei Lin, et al.
ACM Transactions on Management Information Systems (2020) Vol. 11, Iss. 3, pp. 1-29
Closed Access | Times Cited: 46
Deep Learning-Driven Data Curation and Model Interpretation for Smart Manufacturing
Jianjing Zhang, Robert X. Gao
Chinese Journal of Mechanical Engineering (2021) Vol. 34, Iss. 1
Open Access | Times Cited: 37
Higher-order moments in portfolio selection problems: A comprehensive literature review
Pawan Kumar Mandal, Manoj Thakur
Expert Systems with Applications (2023) Vol. 238, pp. 121625-121625
Closed Access | Times Cited: 14
Machine Learning vs. Econometric Models to Forecast Inflation Rate in Romania? The Role of Sentiment Analysis
Mihaela Simionescu
Mathematics (2025) Vol. 13, Iss. 1, pp. 168-168
Open Access
GPU Tensor Cores for Fast Arithmetic Reductions
Cristóbal A. Navarro, Roberto Carrasco, Ricardo J. Barrientos, et al.
IEEE Transactions on Parallel and Distributed Systems (2020) Vol. 32, Iss. 1, pp. 72-84
Open Access | Times Cited: 37
Speeding up k-Nearest Neighbors classifier for large-scale multi-label learning on GPUs
Przemysław Skryjomski, Bartosz Krawczyk, Alberto Cano
Neurocomputing (2019) Vol. 354, pp. 10-19
Closed Access | Times Cited: 35
A Data-Driven Approach for Twitter Hashtag Recommendation
Asma Belhadi, Youcef Djenouri, Jerry Chun‐Wei Lin, et al.
IEEE Access (2020) Vol. 8, pp. 79182-79191
Open Access | Times Cited: 32
Combining active learning with concept drift detection for data stream mining
Bartosz Krawczyk, Bernhard Pfahringer, Michał Woźniak
2021 IEEE International Conference on Big Data (Big Data) (2018), pp. 2239-2244
Closed Access | Times Cited: 33
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
A general-purpose distributed pattern mining system
Asma Belhadi, Youcef Djenouri, Jerry Chun‐Wei Lin, et al.
Applied Intelligence (2020) Vol. 50, Iss. 9, pp. 2647-2662
Open Access | Times Cited: 27
Data-Driven Approaches for Accident Analysis in Sociochemical Systems
Kamran Gholamizadeh, Esmaeil Zarei, Mohammad Yazdi, et al.
Studies in systems, decision and control (2024), pp. 457-486
Closed Access | Times Cited: 3
FlexFloat: A Software Library for Transprecision Computing
Giuseppe Tagliavini, Andrea Marongiu, Luca Benini
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2018) Vol. 39, Iss. 1, pp. 145-156
Closed Access | Times Cited: 31
Synergy of physics-based reasoning and machine learning in biomedical applications: towards unlimited deep learning with limited data
Valeriy Gavrishchaka, Olga Senyukova, M. E. Koepke
Advances in Physics X (2019) Vol. 4, Iss. 1, pp. 1582361-1582361
Open Access | Times Cited: 27
Parallel and Distributed Computation
Marek Krȩtowski
Studies in big data (2019), pp. 49-68
Closed Access | Times Cited: 24
Multi-GPU approach to global induction of classification trees for large-scale data mining
Krzysztof Jurczuk, Marcin Czajkowski, Marek Krȩtowski
Applied Intelligence (2021) Vol. 51, Iss. 8, pp. 5683-5700
Open Access | Times Cited: 19
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