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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:

Benchmark for filter methods for feature selection in high-dimensional classification data
Andrea Bommert, Xudong Sun, Bernd Bischl, et al.
Computational Statistics & Data Analysis (2019) Vol. 143, pp. 106839-106839
Open Access | Times Cited: 563

Showing 1-25 of 563 citing articles:

A Review of Feature Selection Methods for Machine Learning-Based Disease Risk Prediction
Nicholas Pudjihartono, Tayaza Fadason, Andreas W. Kempa-Liehr, et al.
Frontiers in Bioinformatics (2022) Vol. 2
Open Access | Times Cited: 424
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges
Bernd Bischl, Martin Binder, Michel Lang, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2023) Vol. 13, Iss. 2
Open Access | Times Cited: 346
Review analysis of COVID-19 impact on electricity demand for residential buildings
Moncef Krarti, Mohammad Aldubyan
Renewable and Sustainable Energy Reviews (2021) Vol. 143, pp. 110888-110888
Open Access | Times Cited: 194
Adversarial Machine Learning for Network Intrusion Detection Systems: A Comprehensive Survey
Ke He, Dong Seong Kim, Muhammad Rizwan Asghar
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 1, pp. 538-566
Closed Access | Times Cited: 163
Latest Research Trends in Fall Detection and Prevention Using Machine Learning: A Systematic Review
Sara Usmani, Abdul Saboor, Muhammad Haris, et al.
Sensors (2021) Vol. 21, Iss. 15, pp. 5134-5134
Open Access | Times Cited: 162
Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic prediction
Yunbi Xu, Xingping Zhang, Huihui Li, et al.
Molecular Plant (2022) Vol. 15, Iss. 11, pp. 1664-1695
Open Access | Times Cited: 159
Melanoma and Nevus Skin Lesion Classification Using Handcraft and Deep Learning Feature Fusion via Mutual Information Measures
Jose A. Almaraz-Damian, Volodymyr Ponomaryov, Sergiy Sadovnychiy, et al.
Entropy (2020) Vol. 22, Iss. 4, pp. 484-484
Open Access | Times Cited: 148
A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis
Thanveer Shaik, Xiaohui Tao, Yan Li, et al.
IEEE Access (2022) Vol. 10, pp. 56720-56739
Open Access | Times Cited: 126
Analyzing the impact of feature selection on the accuracy of heart disease prediction
Muhammad Salman Pathan, Avishek Nag, Muhammad Mohisn Pathan, et al.
Healthcare Analytics (2022) Vol. 2, pp. 100060-100060
Open Access | Times Cited: 115
Benchmark of filter methods for feature selection in high-dimensional gene expression survival data
Andrea Bommert, Thomas Welchowski, Matthias Schmid, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 112
Metamodel-based simulation optimization: A systematic literature review
João Victor Soares do Amaral, José Arnaldo Barra Montevechi, Rafael de Carvalho Miranda, et al.
Simulation Modelling Practice and Theory (2021) Vol. 114, pp. 102403-102403
Closed Access | Times Cited: 107
A Flow-Based Anomaly Detection Approach With Feature Selection Method Against DDoS Attacks in SDNs
Mahmoud Said Elsayed, Nhien‐An Le‐Khac, Marianne A. Azer, et al.
IEEE Transactions on Cognitive Communications and Networking (2022) Vol. 8, Iss. 4, pp. 1862-1880
Open Access | Times Cited: 98
Machine Learning for Antimicrobial Resistance Prediction: Current Practice, Limitations, and Clinical Perspective
Jee In Kim, Finlay Maguire, Kara K. Tsang, et al.
Clinical Microbiology Reviews (2022) Vol. 35, Iss. 3
Open Access | Times Cited: 95
Material machine learning for alloys: Applications, challenges and perspectives
Xiujuan Liu, Pengcheng Xu, Juanjuan Zhao, et al.
Journal of Alloys and Compounds (2022) Vol. 921, pp. 165984-165984
Closed Access | Times Cited: 94
Predicting Water Quality Index (WQI) by feature selection and machine learning: A case study of An Kim Hai irrigation system
Bui Quoc Lap, Thi-Thu-Hong Phan, Huu Du Nguyen, et al.
Ecological Informatics (2023) Vol. 74, pp. 101991-101991
Closed Access | Times Cited: 90
Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features
Florian Pargent, Florian Pfisterer, Janek Thomas, et al.
Computational Statistics (2022) Vol. 37, Iss. 5, pp. 2671-2692
Open Access | Times Cited: 83
AltWOA: Altruistic Whale Optimization Algorithm for feature selection on microarray datasets
Rohit Kundu, Soham Chattopadhyay, Erik Cuevas, et al.
Computers in Biology and Medicine (2022) Vol. 144, pp. 105349-105349
Closed Access | Times Cited: 78
Applications and Techniques of Machine Learning in Cancer Classification: A Systematic Review
Abrar Yaqoob, Rabia Musheer Aziz, Navneet Kumar Verma
Human-Centric Intelligent Systems (2023) Vol. 3, Iss. 4, pp. 588-615
Open Access | Times Cited: 64
Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling
Fangfang Zhang, Yi Mei, Su Nguyen, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 1, pp. 147-167
Closed Access | Times Cited: 62
Harnessing eXplainable artificial intelligence for feature selection in time series energy forecasting: A comparative analysis of Grad-CAM and SHAP
Corne van Zyl, Xianming Ye, Raj Naidoo
Applied Energy (2023) Vol. 353, pp. 122079-122079
Open Access | Times Cited: 53
A comparative study of 11 non-linear regression models highlighting autoencoder, DBN, and SVR, enhanced by SHAP importance analysis in soybean branching prediction
Wei Zhou, Zhengxiao Yan, Liting Zhang
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 33
An unsupervised anomaly detection framework for onboard monitoring of railway track geometrical defects using one-class support vector machine
Ramin Ghiasi, Muhammad Arslan Khan, Danilo Sorrentino, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108167-108167
Open Access | Times Cited: 21
Exploring Feature Selection With Limited Labels: A Comprehensive Survey of Semi-Supervised and Unsupervised Approaches
Guojie Li, Zhiwen Yu, Kaixiang Yang, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 11, pp. 6124-6144
Closed Access | Times Cited: 20
MSBKA: A Multi-Strategy Improved Black-Winged Kite Algorithm for Feature Selection of Natural Disaster Tweets Classification
Guangyu Mu, Jiaxue Li, Zhanhui Liu, et al.
Biomimetics (2025) Vol. 10, Iss. 1, pp. 41-41
Open Access | Times Cited: 3
Optimum feature selection for the supervised damage classification of an operating wind turbine blade
Mohadeseh Ashkarkalaei, Ramin Ghiasi, Vikram Pakrashi, et al.
Structural Health Monitoring (2025)
Closed Access | Times Cited: 3
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