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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:

Instance selection of linear complexity for big data
Álvar Arnaiz‐González, José-Francisco Díez-Pastor, Juan J. Rodríguez, et al.
Knowledge-Based Systems (2016) Vol. 107, pp. 83-95
Open Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

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
Data preprocessing in predictive data mining
Stamatios-Aggelos N. Alexandropoulos, Sotiris Kotsiantis, Michael N. Vrahatis
The Knowledge Engineering Review (2019) Vol. 34
Closed Access | Times Cited: 152
An efficient instance selection algorithm to reconstruct training set for support vector machine
Chuan Liu, Wenyong Wang, Meng Wang, et al.
Knowledge-Based Systems (2016) Vol. 116, pp. 58-73
Open Access | Times Cited: 139
kNN Classification: a review
Panos K. Syriopoulos, Nektarios G. Kalampalikis, Sotiris Kotsiantis, et al.
Annals of Mathematics and Artificial Intelligence (2023)
Closed Access | Times Cited: 35
Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods
Xiaoming Zhang, Lean Yu
Expert Systems with Applications (2023) Vol. 237, pp. 121484-121484
Closed Access | Times Cited: 26
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
Statistical comparisons of active learning strategies over multiple datasets
Óscar Reyes, Abdulrahman Altalhi, Sebastián Ventura
Knowledge-Based Systems (2018) Vol. 145, pp. 274-288
Closed Access | Times Cited: 57
Very large-scale data classification based on K-means clustering and multi-kernel SVM
Tinglong Tang, Shengyong Chen, Meng Zhao, et al.
Soft Computing (2018) Vol. 23, Iss. 11, pp. 3793-3801
Closed Access | Times Cited: 46
Efficient and decision boundary aware instance selection for support vector machines
Mohammad Aslani, Stefan Seipel
Information Sciences (2021) Vol. 577, pp. 579-598
Open Access | Times Cited: 30
Performance comparison of feature selection and extraction methods with random instance selection
Milad Malekipirbazari, Vural Aksakallı, Waleed Shafqat, et al.
Expert Systems with Applications (2021) Vol. 179, pp. 115072-115072
Closed Access | Times Cited: 23
MR-DIS: democratic instance selection for big data by MapReduce
Álvar Arnaiz‐González, Alejandro González-Rogel, José-Francisco Díez-Pastor, et al.
Progress in Artificial Intelligence (2017) Vol. 6, Iss. 3, pp. 211-219
Closed Access | Times Cited: 32
Instance selection and feature extraction using cuttlefish optimization algorithm and principal component analysis using decision tree
M. Suganthi, V. Karunakaran
Cluster Computing (2018) Vol. 22, Iss. S1, pp. 89-101
Closed Access | Times Cited: 28
An analysis on new hybrid parameter selection model performance over big data set
Masurah Mohamad, Ali Selamat, Ondřej Krejcar, et al.
Knowledge-Based Systems (2019) Vol. 192, pp. 105441-105441
Open Access | Times Cited: 28
Scalable feature selection using ReliefF aided by locality‐sensitive hashing
Carlos Eiras‐Franco, Bertha Guijarro‐Berdiñas, Amparo Alonso‐Betanzos, et al.
International Journal of Intelligent Systems (2021) Vol. 36, Iss. 11, pp. 6161-6179
Open Access | Times Cited: 22
Local sets for multi-label instance selection
Álvar Arnaiz‐González, José-Francisco Díez-Pastor, Juan J. Rodríguez, et al.
Applied Soft Computing (2018) Vol. 68, pp. 651-666
Closed Access | Times Cited: 27
A fast instance selection method for support vector machines in building extraction
Mohammad Aslani, Stefan Seipel
Applied Soft Computing (2020) Vol. 97, pp. 106716-106716
Open Access | Times Cited: 22
An Approach to Data Reduction for Learning from Big Datasets: Integrating Stacking, Rotation, and Agent Population Learning Techniques
Ireneusz Czarnowski, Piotr Jędrzejowicz
Complexity (2018) Vol. 2018, Iss. 1
Open Access | Times Cited: 22
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
Comparison of Instance Selection and Construction Methods with Various Classifiers
Marcin Blachnik, Mirosław Kordos
Applied Sciences (2020) Vol. 10, Iss. 11, pp. 3933-3933
Open Access | Times Cited: 19
Enhancing Big Data Feature Selection Using a Hybrid Correlation-Based Feature Selection
Masurah Mohamad, Ali Selamat, Ondřej Krejcar, et al.
Electronics (2021) Vol. 10, Iss. 23, pp. 2984-2984
Open Access | Times Cited: 16
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
An instance selection algorithm for fuzzy K-nearest neighbor
Junhai Zhai, Jiaxing Qi, Sufang Zhang
Journal of Intelligent & Fuzzy Systems (2020) Vol. 40, Iss. 1, pp. 521-533
Closed Access | Times Cited: 15
Survey on KNN Methods in Data Science
Panos K. Syriopoulos, Sotiris Kotsiantis, Michael N. Vrahatis
Lecture notes in computer science (2022), pp. 379-393
Closed Access | Times Cited: 9
A simple and reliable instance selection for fast training support vector machine: Valid Border Recognition
Long Tang, Yingjie Tian, Xiaowei Wang, et al.
Neural Networks (2023) Vol. 166, pp. 379-395
Closed Access | Times Cited: 5
Improving the classification performance on imbalanced data sets via new hybrid parameterisation model
Masurah Mohamad, Ali Selamat, Imam Much Ibnu Subroto, et al.
Journal of King Saud University - Computer and Information Sciences (2019) Vol. 33, Iss. 7, pp. 787-797
Open Access | Times Cited: 14
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