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:

Differential evolution for filter feature selection based on information theory and feature ranking
Emrah Hançer, Bing Xue, Jun Zhang
Knowledge-Based Systems (2017) Vol. 140, pp. 103-119
Open Access | Times Cited: 347

Showing 1-25 of 347 citing articles:

Classification of COVID-19 patients from chest CT images using multi-objective differential evolution–based convolutional neural networks
Dilbag Singh, Vijay Kumar, Vaishali, et al.
European Journal of Clinical Microbiology & Infectious Diseases (2020) Vol. 39, Iss. 7, pp. 1379-1389
Open Access | Times Cited: 628

A comprehensive survey: Whale Optimization Algorithm and its applications
Farhad Soleimanian Gharehchopogh, Hojjat Gholizadeh
Swarm and Evolutionary Computation (2019) Vol. 48, pp. 1-24
Closed Access | Times Cited: 592

Binary differential evolution with self-learning for multi-objective feature selection
Zhang Yon, Dunwei Gong, Xiao‐Zhi Gao, et al.
Information Sciences (2019) Vol. 507, pp. 67-85
Closed Access | Times Cited: 366

Review of swarm intelligence-based feature selection methods
Mehrdad Rostami, Kamal Berahmand, Elahe Nasiri, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 100, pp. 104210-104210
Open Access | Times Cited: 356

Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection
Mohammad Tubishat, Norisma Idris, Liyana Shuib, et al.
Expert Systems with Applications (2019) Vol. 145, pp. 113122-113122
Closed Access | Times Cited: 325

Bankruptcy prediction for SMEs using transactional data and two-stage multiobjective feature selection
Gang Kou, Yong Xu, Yi Peng, et al.
Decision Support Systems (2020) Vol. 140, pp. 113429-113429
Open Access | Times Cited: 315

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: 227

Multiobjective Particle Swarm Optimization for Feature Selection With Fuzzy Cost
Ying Hu, Zhang Yon, Dunwei Gong
IEEE Transactions on Cybernetics (2020) Vol. 51, Iss. 2, pp. 874-888
Closed Access | Times Cited: 215

Feature selection using bare-bones particle swarm optimization with mutual information
Xianfang Song, Zhang Yon, Dunwei Gong, et al.
Pattern Recognition (2020) Vol. 112, pp. 107804-107804
Closed Access | Times Cited: 203

An efficient henry gas solubility optimization for feature selection
Nabil Neggaz, Essam H. Houssein, Kashif Hussain
Expert Systems with Applications (2020) Vol. 152, pp. 113364-113364
Closed Access | Times Cited: 180

Boosting salp swarm algorithm by sine cosine algorithm and disrupt operator for feature selection
Nabil Neggaz, Ahmed A. Ewees, Mohamed Abd Elaziz, et al.
Expert Systems with Applications (2019) Vol. 145, pp. 113103-113103
Closed Access | Times Cited: 172

Integration of multi-objective PSO based feature selection and node centrality for medical datasets
Mehrdad Rostami, Saman Forouzandeh, Kamal Berahmand, et al.
Genomics (2020) Vol. 112, Iss. 6, pp. 4370-4384
Closed Access | Times Cited: 169

Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification
Lin Sun, Tianxiang Wang, Weiping Ding, et al.
Information Sciences (2021) Vol. 578, pp. 887-912
Closed Access | Times Cited: 162

An efficient hybrid sine-cosine Harris hawks optimization for low and high-dimensional feature selection
Kashif Hussain, Nabil Neggaz, William Zhu, et al.
Expert Systems with Applications (2021) Vol. 176, pp. 114778-114778
Closed Access | Times Cited: 157

A survey on feature selection approaches for clustering
Emrah Hançer, Bing Xue, Mengjie Zhang
Artificial Intelligence Review (2020) Vol. 53, Iss. 6, pp. 4519-4545
Closed Access | Times Cited: 155

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: 142

Adaptive crossover operator based multi-objective binary genetic algorithm for feature selection in classification
Yu Xue, Haokai Zhu, Jiayu Liang, et al.
Knowledge-Based Systems (2021) Vol. 227, pp. 107218-107218
Closed Access | Times Cited: 141

Multi-objective particle swarm optimization with adaptive strategies for feature selection
Fei Han, Wen-Tao Chen, Qing-Hua Ling, et al.
Swarm and Evolutionary Computation (2021) Vol. 62, pp. 100847-100847
Closed Access | Times Cited: 133

An evaluation of feature selection methods for environmental data
Dimitrios Effrosynidis, Avi Arampatzis
Ecological Informatics (2021) Vol. 61, pp. 101224-101224
Closed Access | Times Cited: 130

Improved binary particle swarm optimization for feature selection with new initialization and search space reduction strategies
An‐Da Li, Bing Xue, Mengjie Zhang
Applied Soft Computing (2021) Vol. 106, pp. 107302-107302
Closed Access | Times Cited: 128

Feature selection with kernelized multi-class support vector machine
Yinan Guo, Zirui Zhang, Fengzhen Tang
Pattern Recognition (2021) Vol. 117, pp. 107988-107988
Closed Access | Times Cited: 102

A systematic review of emerging feature selection optimization methods for optimal text classification: the present state and prospective opportunities
Abiodun Esther Omolara, Abdulatif Alabdulatif, Oludare Isaac Abiodun, et al.
Neural Computing and Applications (2021) Vol. 33, Iss. 22, pp. 15091-15118
Open Access | Times Cited: 101

A multi-objective evolutionary algorithm with interval based initialization and self-adaptive crossover operator for large-scale feature selection in classification
Yu Xue, Xu Cai, Ferrante Neri
Applied Soft Computing (2022) Vol. 127, pp. 109420-109420
Closed Access | Times Cited: 85

Diagnosis of Parkinson's disease based on SHAP value feature selection
Yuchun Liu, Zhihui Liu, Xue Luo, et al.
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 856-869
Closed Access | Times Cited: 79

Efficient Feature Selection Using Weighted Superposition Attraction Optimization Algorithm
N. Ganesh, Rajendran Shankar, Róbert Čep, et al.
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 3223-3223
Open Access | Times Cited: 60

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