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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:

Feature selection in machine learning: A new perspective
Jie Cai, Jiawei Luo, Shulin Wang, et al.
Neurocomputing (2018) Vol. 300, pp. 70-79
Closed Access | Times Cited: 1724

Showing 1-25 of 1724 citing articles:

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
A review of unsupervised feature selection methods
Saúl Solorio-Fernández, Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad
Artificial Intelligence Review (2019) Vol. 53, Iss. 2, pp. 907-948
Closed Access | Times Cited: 509
The relationship between trust in AI and trustworthy machine learning technologies
Ehsan Toreini, Mhairi Aitken, Kovila Coopamootoo, et al.
(2020), pp. 272-283
Open Access | Times Cited: 233
A comprehensive survey on recent metaheuristics for feature selection
Tansel Dökeroğlu, Ayça Deniz, Hakan Ezgi Kızılöz
Neurocomputing (2022) Vol. 494, pp. 269-296
Open Access | Times Cited: 233
A novel hybrid Harris hawks optimization and support vector machines for drug design and discovery
Essam H. Houssein, Mosa E. Hosney, Diego Oliva, et al.
Computers & Chemical Engineering (2019) Vol. 133, pp. 106656-106656
Closed Access | Times Cited: 214
A machine learning-based alloy design system to facilitate the rational design of high entropy alloys with enhanced hardness
Yang Chen, Chang Ren, Yuefei Jia, et al.
Acta Materialia (2021) Vol. 222, pp. 117431-117431
Closed Access | Times Cited: 211
Machine Learning in Chemical Engineering: Strengths, Weaknesses, Opportunities, and Threats
Maarten R. Dobbelaere, Pieter Plehiers, Ruben Van de Vijver, et al.
Engineering (2021) Vol. 7, Iss. 9, pp. 1201-1211
Open Access | Times Cited: 207
Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning
Luwei Feng, Zhou Zhang, Yuchi Ma, et al.
Remote Sensing (2020) Vol. 12, Iss. 12, pp. 2028-2028
Open Access | Times Cited: 201
Machine learning approaches in COVID-19 diagnosis, mortality, and severity risk prediction: A review
Norah Alballa, Isra Al-Turaiki
Informatics in Medicine Unlocked (2021) Vol. 24, pp. 100564-100564
Open Access | Times Cited: 197
A Review of Ensemble Learning Algorithms Used in Remote Sensing Applications
Yuzhen Zhang, Jingjing Liu, Wenjuan Shen
Applied Sciences (2022) Vol. 12, Iss. 17, pp. 8654-8654
Open Access | Times Cited: 190
Visual place recognition: A survey from deep learning perspective
Xiwu Zhang, Lei Wang, Yan Su
Pattern Recognition (2020) Vol. 113, pp. 107760-107760
Closed Access | Times Cited: 187
Assessment of compressive strength of Ultra-high Performance Concrete using deep machine learning techniques
Omar Abuodeh, Jamal A. Abdalla, Rami A. Hawileh
Applied Soft Computing (2020) Vol. 95, pp. 106552-106552
Closed Access | Times Cited: 178
A hybrid Harris Hawks optimization algorithm with simulated annealing for feature selection
Mohamed Abdel‐Basset, Weiping Ding, Syed Bilal Hussain Shah
Artificial Intelligence Review (2020) Vol. 54, Iss. 1, pp. 593-637
Closed Access | Times Cited: 175
A Bolasso based consistent feature selection enabled random forest classification algorithm: An application to credit risk assessment
Nisha Arora, Pankaj Deep Kaur
Applied Soft Computing (2019) Vol. 86, pp. 105936-105936
Closed Access | Times Cited: 160
Improving land cover classification in an urbanized coastal area by random forests: The role of variable selection
Fang Zhang, Xiaojun Yang
Remote Sensing of Environment (2020) Vol. 251, pp. 112105-112105
Closed Access | Times Cited: 160
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology
Stefan Studer, Thanh Binh Bui, Christian Drescher, et al.
Machine Learning and Knowledge Extraction (2021) Vol. 3, Iss. 2, pp. 392-413
Open Access | Times Cited: 157
Advances in Computational Intelligence of Polymer Composite Materials: Machine Learning Assisted Modeling, Analysis and Design
Aanchna Sharma, T. Mukhopadhyay, Sanjay Mavinkere Rangappa, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 5, pp. 3341-3385
Open Access | Times Cited: 155
Machine learning for advanced energy materials
Liu Yun, Oladapo Christopher Esan, Zhefei Pan, et al.
Energy and AI (2021) Vol. 3, pp. 100049-100049
Open Access | Times Cited: 154
Liver Cancer Algorithm: A novel bio-inspired optimizer
Essam H. Houssein, Diego Oliva, Nagwan Abdel Samee, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107389-107389
Closed Access | Times Cited: 154
MFS-MCDM: Multi-label feature selection using multi-criteria decision making
Amin Hashemi, Mohammad Bagher Dowlatshahi, Hossein Nezamabadi‐pour
Knowledge-Based Systems (2020) Vol. 206, pp. 106365-106365
Closed Access | Times Cited: 148
A Comprehensive Review on Machine Learning in Healthcare Industry: Classification, Restrictions, Opportunities and Challenges
Qi An, Saifur Rahman, Jingwen Zhou, et al.
Sensors (2023) Vol. 23, Iss. 9, pp. 4178-4178
Open Access | Times Cited: 144
Estimation of surface-level NO2 and O3 concentrations using TROPOMI data and machine learning over East Asia
Yoojin Kang, Hyunyoung Choi, Jungho Im, et al.
Environmental Pollution (2021) Vol. 288, pp. 117711-117711
Closed Access | Times Cited: 140
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
A review of Pareto pruning methods for multi-objective optimization
Sanyapong Petchrompo, David W. Coit, Alexandra Brintrup, et al.
Computers & Industrial Engineering (2022) Vol. 167, pp. 108022-108022
Open Access | Times Cited: 124
Feature selection techniques for machine learning: a survey of more than two decades of research
Dipti Theng, Kishor K. Bhoyar
Knowledge and Information Systems (2023) Vol. 66, Iss. 3, pp. 1575-1637
Closed Access | Times Cited: 122
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