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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 tutorial-based survey on feature selection: Recent advancements on feature selection
Amir Moslemi
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107136-107136
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Deep Nonnegative Matrix Factorization with Joint Global and Local Structure Preservation
Farid Saberi-Movahed, B. Biswas, Prayag Tiwari, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123645-123645
Closed Access | Times Cited: 13
Explaining deep learning models for ozone pollution prediction via embedded feature selection
M. J. Jiménez-Navarro, M. Martínez-Ballesteros, Francisco Martínez‐Álvarez, et al.
Applied Soft Computing (2024) Vol. 157, pp. 111504-111504
Open Access | Times Cited: 12
Adaptive patch selection to improve Vision Transformers through Reinforcement Learning
Francesco Cauteruccio, Michele Marchetti, Davide Traini, et al.
Applied Intelligence (2025) Vol. 55, Iss. 7
Open Access | Times Cited: 1
Low-Redundant Unsupervised Feature Selection based on Data Structure Learning and Feature Orthogonalization
Mahsa Samareh-Jahani, Farid Saberi-Movahed, Mahdi Eftekhari, et al.
Expert Systems with Applications (2023) Vol. 240, pp. 122556-122556
Closed Access | Times Cited: 18
Class-specific feature selection using fuzzy information-theoretic metrics
Ma Xiao, Hao Xu, Yi Liu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 109035-109035
Closed Access | Times Cited: 6
Unsupervised feature selection using sparse manifold learning: Auto-encoder approach
Amir Moslemi, Mina Jamshidi
Information Processing & Management (2024) Vol. 62, Iss. 1, pp. 103923-103923
Closed Access | Times Cited: 6
Subspace learning via Hessian regularized latent representation learning with $${l}_{2,0}$$-norm constraint: unsupervised feature selection
Amir Moslemi, Afshin Shaygani
International Journal of Machine Learning and Cybernetics (2024) Vol. 15, Iss. 11, pp. 5361-5380
Closed Access | Times Cited: 5
Subspace learning for feature selection via rank revealing QR factorization: Fast feature selection
Amir Moslemi, Arash Ahmadian
Expert Systems with Applications (2024) Vol. 256, pp. 124919-124919
Closed Access | Times Cited: 5
Feature Selection Based on Membrane Clustering
Sharmin Sultana Sheuly, Johannes Deivard, Tiberiu Seceleanu, et al.
Communications in computer and information science (2025), pp. 171-182
Closed Access
Graph diffusion with dual-distance metrics for missing multi-label feature selection
Zhi Qin, Hongmei Chen, Tengyu Yin, et al.
Expert Systems with Applications (2025) Vol. 271, pp. 126662-126662
Closed Access
Enhancing thyroid nodule classification: A comprehensive analysis of feature selection in thermography
Mahnaz Etehadtavakol, Mojtaba Sirati-Amsheh, Golnaz Moallem, et al.
Infrared Physics & Technology (2025), pp. 105730-105730
Closed Access
Bilinear Self-Representation for Unsupervised Feature Selection with Structure Learning
H. Assadi, Faranges Kyanfar, Farid Saberi-Movahed, et al.
Neurocomputing (2025), pp. 129557-129557
Closed Access
Prediction of Chemotherapy Response in Locally Advanced Breast Cancer Patients at Pre-Treatment Using CT Textural Features and Machine Learning: Comparison of Feature Selection Methods
Amir Moslemi, Laurentius O. Osapoetra, Archya Dasgupta, et al.
Tomography (2025) Vol. 11, Iss. 3, pp. 33-33
Open Access
Advancing Artificial Intelligence of Things Security: Integrating Feature Selection and Deep Learning for Real-Time Intrusion Detection
Faisal Albalwy, Muhannad Almohaimeed
Systems (2025) Vol. 13, Iss. 4, pp. 231-231
Open Access
Determinants of human-machine interaction technology usage: An automated machine learning approach
Ilan Alon, Vanessa Pilla Galetti Bretas, Jefferson Ricardo Bretas Galetti, et al.
Technovation (2025) Vol. 143, pp. 103230-103230
Closed Access
Machine learning-based algorithm selection for irregular three-dimensional packing in additive manufacturing
Luiz Jonatã Pires de Araújo, Ender Özcan, Jason Atkin, et al.
Expert Systems with Applications (2025), pp. 127661-127661
Open Access
MGMT ProFWise: Unlocking a New Application for Combined Feature Selection and the Rank-Based Weighting Method to Link MGMT Methylation Status to Serum Protein Expression in Patients with Glioblastoma
Erdal Taşçı, Yajas Shah, Sarisha Jagasia, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 7, pp. 4082-4082
Open Access | Times Cited: 3
Deep Texture Analysis—Enhancing CT Radiomics Features for Prediction of Head and Neck Cancer Treatment Outcomes: A Machine Learning Approach
Aryan Safakish, Lakshmanan Sannachi, Amir Moslemi, et al.
Radiation (2024) Vol. 4, Iss. 1, pp. 50-68
Open Access | Times Cited: 2
Dual-dual subspace learning with low-rank consideration for feature selection
Amir Moslemi, Mahdi Bidar
Physica A Statistical Mechanics and its Applications (2024) Vol. 651, pp. 129997-129997
Closed Access | Times Cited: 2
An adaptive dual-strategy constrained optimization-based coevolutionary optimizer for high-dimensional feature selection
Tao Li, Shun-xi Zhang, Qiang Yang, et al.
Computers & Electrical Engineering (2024) Vol. 118, pp. 109362-109362
Closed Access | Times Cited: 1
Integrating External Stressors in Supervised Machine Learning Algorithm Achieves High Accuracy to Predict Multi-Species Biological Integrity Index of Aquaculture Wastewater
Peifang Wang, Tianming Zheng, Bin Hu, et al.
Journal of Hazardous Materials (2024) Vol. 480, pp. 136366-136366
Closed Access | Times Cited: 1
An Integrated Stacked Convolutional Neural Network and the Levy Flight-based Grasshopper Optimization Algorithm for Predicting Heart Disease
Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, Syed Kumayl Raza Moosavi, et al.
Healthcare Analytics (2024), pp. 100374-100374
Open Access | Times Cited: 1
<strong>Recent Optimization Methods and Techniques for Medical Image Analysis</strong>
Jing Wang
(2023)
Open Access | Times Cited: 1
Analyzing Winter Wheat (Triticum aestivum) Growth Pattern Using High Spatial Resolution Images: A Case Study at Lakehead Agriculture Research Station, Thunder Bay, Canada
María V. Brenes Fuentes, Muditha K. Heenkenda, T. S. Sahota, et al.
Crops (2024) Vol. 4, Iss. 2, pp. 115-133
Open Access
Enhancing CT Radiomics Features for Prediction of Head and Neck Cancer Treatment Outcomes: A Machine Learning Approach
Aryan Safakish, Lakshmanan Sannachi, Amir Moslemi, et al.
(2024)
Open Access
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