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:

Dual-manifold regularized regression models for feature selection based on hesitant fuzzy correlation
Mahla Mokhtia, Mahdi Eftekhari, Farid Saberi-Movahed
Knowledge-Based Systems (2021) Vol. 229, pp. 107308-107308
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

A two-stage hybrid credit risk prediction model based on XGBoost and graph-based deep neural network
Jiaming Liu, Sicheng Zhang, Haoyue Fan
Expert Systems with Applications (2022) Vol. 195, pp. 116624-116624
Closed Access | Times Cited: 76

Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods
Farshad Saberi-Movahed, Mahyar Mohammadifard, Adel Mehrpooya, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105426-105426
Open Access | Times Cited: 62

Flood monitoring by integration of Remote Sensing technique and Multi-Criteria Decision Making method
Hadi Farhadi, Ali Esmaeily, Mohammad Najafzadeh
Computers & Geosciences (2022) Vol. 160, pp. 105045-105045
Closed Access | Times Cited: 60

A novel explainable COVID-19 diagnosis method by integration of feature selection with random forest
Mehrdad Rostami, Mourad Oussalah
Informatics in Medicine Unlocked (2022) Vol. 30, pp. 100941-100941
Open Access | Times Cited: 56

Developing an automated monitoring system for fast and accurate prediction of soil texture using an image-based deep learning network and machine vision system
Rahim Azadnia, Ahmad Jahanbakhshi, Shima Rashidi, et al.
Measurement (2022) Vol. 190, pp. 110669-110669
Closed Access | Times Cited: 49

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

A novel granular ball computing-based fuzzy rough set for feature selection in label distribution learning
Wenbin Qian, Fankang Xu, Jintao Huang, et al.
Knowledge-Based Systems (2023) Vol. 278, pp. 110898-110898
Closed Access | Times Cited: 26

Multi-attribute decision-making based on comprehensive hesitant fuzzy entropy
Guan Xin, Ying Liu
Expert Systems with Applications (2023) Vol. 237, pp. 121459-121459
Closed Access | Times Cited: 22

Local scour depth at piles group exposed to regular waves: On the assessment of expressions based on classification concepts and evolutionary algorithms
Mohammad Najafzadeh, Razieh Sheikhpour
Results in Engineering (2024) Vol. 21, pp. 101810-101810
Open Access | Times Cited: 8

Employing Iterative Feature Selection in Fuzzy Rule-Based Binary Classification
Haoning Li, Cong Wang, Qinghua Huang
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 9, pp. 5109-5121
Open Access | Times Cited: 7

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

Mechanism Model Combined with Deep Learning Models for Accurate Prediction of Indoor Air Pollution in Residential and Commercial Spaces
Ting Shi, Kai Wang, Yang Wu, et al.
Journal of Building Engineering (2025), pp. 112008-112008
Closed Access

Robust Feature Selection Based on Intuitionistic Hesitant Fuzzy Cross-Correlation and Manifold Learning
Miao Luo, Yijin Zhang
Lecture notes in computer science (2025), pp. 203-213
Closed Access

Scour Propagation Rates around Offshore Pipelines Exposed to Currents by Applying Data-Driven Models
Mohammad Najafzadeh, Giuseppe Oliveto
Water (2022) Vol. 14, Iss. 3, pp. 493-493
Open Access | Times Cited: 16

LASSO and attention-TCN: a concurrent method for indoor particulate matter prediction
Ting Shi, Yang Wu, Ailin Qi, et al.
Applied Intelligence (2023) Vol. 53, Iss. 17, pp. 20076-20090
Open Access | Times Cited: 9

Effective monitoring of Noyyal River surface water quality using remote sensing and machine learning and GIS techniques
A. Adilakshmi, V. Venkatesan
Desalination and Water Treatment (2024) Vol. 320, pp. 100630-100630
Open Access | Times Cited: 3

Group decision making method with hesitant fuzzy preference relations based on additive consistency and consensus
Jian Li, Lili Niu, Qiongxia Chen, et al.
Complex & Intelligent Systems (2022) Vol. 8, Iss. 3, pp. 2203-2225
Open Access | Times Cited: 13

Estimation of Scour Propagation Rates around Pipelines While Considering Simultaneous Effects of Waves and Currents Conditions
Mohammad Najafzadeh, Giuseppe Oliveto, Farshad Saberi-Movahed
Water (2022) Vol. 14, Iss. 10, pp. 1589-1589
Open Access | Times Cited: 11

Optimizing precision agriculture: Bayesian-enhanced papaya (Carica papaya L.) fruit disease classification via cubic SVM and ResNet-101 deep features
Ashoka Kumar Ratha, Santi Kumari Behera, A. Geetha Devi, et al.
Journal of Intelligent & Fuzzy Systems (2024), pp. 1-17
Closed Access | Times Cited: 2

Robust hesitant fuzzy partitional clustering algorithms and their applications in decision making
Kun Chao, Hua Zhao, Zeshui Xu, et al.
Applied Soft Computing (2023) Vol. 145, pp. 110212-110212
Closed Access | Times Cited: 4

Random Manifold Sampling and Joint Sparse Regularization for Multi-Label Feature Selection
Haibao Li, Hongzhi Zhai
Big Data Research (2023) Vol. 32, pp. 100383-100383
Open Access | Times Cited: 2

Profiling (Non-)Nascent Entrepreneurs in Hungary Based on Machine Learning Approaches
Márton Gosztonyi, Csákné Filep Judit
Sustainability (2022) Vol. 14, Iss. 6, pp. 3571-3571
Open Access | Times Cited: 3

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