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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:

Distributed correlation-based feature selection in spark
Raúl-José Palma-Mendoza, Luis de‐Marcos, Daniel Rodríguez, et al.
Information Sciences (2018) Vol. 496, pp. 287-299
Open Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

A comprehensive survey on feature selection in the various fields of machine learning
Pradip Dhal, Chandrashekhar Azad
Applied Intelligence (2021) Vol. 52, Iss. 4, pp. 4543-4581
Closed Access | Times Cited: 262
A federated feature selection algorithm based on particle swarm optimization under privacy protection
Ying Hu, Yong Zhang, Xiao‐Zhi Gao, et al.
Knowledge-Based Systems (2022) Vol. 260, pp. 110122-110122
Closed Access | Times Cited: 50
A multi-granularity heterogeneous combination approach to crude oil price forecasting
Jue Wang, Hao Zhou, Tao Hong, et al.
Energy Economics (2020) Vol. 91, pp. 104790-104790
Closed Access | Times Cited: 64
Input selection methods for data-driven Soft sensors design: Application to an industrial process
Francesco Curreri, Salvatore Graziani, Maria Gabriella Xibilia
Information Sciences (2020) Vol. 537, pp. 1-17
Closed Access | Times Cited: 60
A Novel Feature Selection Method for Classification of Medical Data Using Filters, Wrappers, and Embedded Approaches
Saba Bashir, Irfan Ullah Khattak, Aihab Khan, et al.
Complexity (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 28
A multivariate approach to the symmetrical uncertainty measure: Application to feature selection problem
Gustavo Sosa-Cabrera, Miguel García-Torres, Santiago Gómez-Guerrero, et al.
Information Sciences (2019) Vol. 494, pp. 1-20
Closed Access | Times Cited: 38
Detecting biomarkers from microarray data using distributed correlation based gene selection
Alok Kumar Shukla, Diwakar Tripathi
Genes & Genomics (2020) Vol. 42, Iss. 4, pp. 449-465
Closed Access | Times Cited: 34
An Adapted Ant Colony Optimization for Feature Selection
Duygu Yılmaz Eroğlu, Umut Akcan
Applied Artificial Intelligence (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 3
Identification of potential biomarkers on microarray data using distributed gene selection approach
Alok Kumar Shukla, Diwakar Tripathi
Mathematical Biosciences (2019) Vol. 315, pp. 108230-108230
Closed Access | Times Cited: 29
Investigating the Performance of a Novel Modified Binary Black Hole Optimization Algorithm for Enhancing Feature Selection
Mohammad Ryiad Al-Eiadeh, Raneem Qaddoura, Mustafa Abdallah
(2024)
Open Access | Times Cited: 2
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
A Parallel Multilevel Feature Selection algorithm for improved cancer classification
Lokeswari Venkataramana, Shomona Gracia Jacob, Rajavel Ramadoss
Journal of Parallel and Distributed Computing (2019) Vol. 138, pp. 78-98
Closed Access | Times Cited: 17
Block size estimation for data partitioning in HPC applications using machine learning techniques
Riccardo Cantini, Fabrizio Marozzo, Alessio F. Orsino, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
CUDA acceleration of MI-based feature selection methods
Bieito Beceiro, Jorge González‐Domínguez, Laura Morán‐Fernández, et al.
Journal of Parallel and Distributed Computing (2024) Vol. 190, pp. 104901-104901
Open Access | Times Cited: 1
Investigating the Performance of a Novel Modified Binary Black Hole Optimization Algorithm for Enhancing Feature Selection
Mohammad Ryiad Al-Eiadeh, Raneem Qaddoura, Mustafa Abdallah
Applied Sciences (2024) Vol. 14, Iss. 12, pp. 5207-5207
Open Access | Times Cited: 1
An Efficient OMP for Multidimensional Data Denoising and Recovery in Compressed Sensing
Somaya Sadik, Mohamed Et‐tolba, Benayad Nsiri
(2024), pp. 195-200
Closed Access | Times Cited: 1
Enhancing protection in high-dimensional data: Distributed differential privacy with feature selection
I Made Putrama, Péter Martinek
Information Processing & Management (2024) Vol. 61, Iss. 6, pp. 103870-103870
Closed Access | Times Cited: 1
A Locally Distributed Rough Set model for Feature Selection and Prototype Learning
Shuang An, Y.J. Song, Changzhong Wang, et al.
Fuzzy Sets and Systems (2024), pp. 109137-109137
Closed Access | Times Cited: 1
DQPFS: Distributed quadratic programming based feature selection for big data
Majid Soheili, Amir Masoud Eftekhari Moghadam
Journal of Parallel and Distributed Computing (2019) Vol. 138, pp. 1-14
Closed Access | Times Cited: 13
Feature Selection and Machine Learning Models for High‐Dimensional Data: State‐of‐the‐Art
G. Manikandan, S. Abirami
(2021), pp. 43-63
Closed Access | Times Cited: 10
RETRACTED ARTICLE: Improvement in Hadoop performance using integrated feature extraction and machine learning algorithms
C. K. Sarumathiy, K. Geetha, C. Rajan
Soft Computing (2019) Vol. 24, Iss. 1, pp. 627-636
Closed Access | Times Cited: 10
Know-UCP: locally weighted linear regression based approach for UCP estimation
Suyash Shukla, Sandeep Kumar
Applied Intelligence (2022) Vol. 53, Iss. 11, pp. 13488-13505
Closed Access | Times Cited: 6
Kernel Partial Least Squares Feature Selection Based on Maximum Weight Minimum Redundancy
Xiling Liu, Shuisheng Zhou
Entropy (2023) Vol. 25, Iss. 2, pp. 325-325
Open Access | Times Cited: 3
Overproduce and select, or determine optimal molecular descriptor subset via configuration space optimization? Application to the prediction of ecotoxicological endpoints
Luis A. García‐González, Yovani Marrero‐Ponce, Carlos A. Brizuela, et al.
Molecular Informatics (2023) Vol. 42, Iss. 6
Closed Access | Times Cited: 3
BIBHU: Biomarker Identification Using Bio-inspired Evolutionary Hybrid Unique Machine Learning Model
Bibhuprasad Sahu, S. Dash
(2023), pp. 1-6
Closed Access | Times Cited: 3
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