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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:

Image feature selection using genetic programming for figure-ground segmentation
Yuyu Liang, Jun Zhang, Will N. Browne
Engineering Applications of Artificial Intelligence (2017) Vol. 62, pp. 96-108
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

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: 359
Supervised feature selection techniques in network intrusion detection: A critical review
Mario Di Mauro, Giovanni Galatro, Giancarlo Fortino, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 101, pp. 104216-104216
Open Access | Times Cited: 133
Feature selection in image analysis: a survey
Verónica Bolón‐Canedo, Beatriz Remeseiro
Artificial Intelligence Review (2019) Vol. 53, Iss. 4, pp. 2905-2931
Closed Access | Times Cited: 138
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends
Ying Bi, Bing Xue, Pablo Mesejo, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 1, pp. 5-25
Open Access | Times Cited: 50
Automatic design of machine learning via evolutionary computation: A survey
Nan Li, Lianbo Ma, Tiejun Xing, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110412-110412
Closed Access | Times Cited: 27
Nature Inspired Optimization Techniques for Image Processing—A Short Review
S. R. Jino Ramson, K. Lova Raju, S. Vishnu, et al.
Intelligent systems reference library (2018), pp. 113-145
Closed Access | Times Cited: 38
Nature and Biologically Inspired Image Segmentation Techniques
Simrandeep Singh, Nitin Mittal, Diksha Thakur, et al.
Archives of Computational Methods in Engineering (2021) Vol. 29, Iss. 3, pp. 1415-1442
Closed Access | Times Cited: 29
Meta‐heuristic multi‐ and many‐objective optimization techniques for solution of machine learning problems
Douglas Rodrigues, João Paulo Papa, Hojjat Adeli
Expert Systems (2017) Vol. 34, Iss. 6
Closed Access | Times Cited: 36
Feature Extraction and Selection for Parsimonious Classifiers with Multiobjective Genetic Programming
Kaustuv Nag, Nikhil R. Pal
IEEE Transactions on Evolutionary Computation (2019), pp. 1-1
Closed Access | Times Cited: 34
A recent survey on the applications of genetic programming in image processing
Asifullah Khan, Aqsa Saeed Qureshi, Noorul Wahab, et al.
Computational Intelligence (2021) Vol. 37, Iss. 4, pp. 1745-1778
Open Access | Times Cited: 18
A feature selection method with feature ranking using genetic programming
Guopeng Liu, Jianbin Ma, Tongle Hu, et al.
Connection Science (2022) Vol. 34, Iss. 1, pp. 1146-1168
Open Access | Times Cited: 11
Prediction of frictional characteristics of bituminous mixes using group method of data handling and multigene symbolic genetic programming
Madhu Lisha Pattanaik, Rajan Choudhary, Bimlesh Kumar
Engineering With Computers (2019) Vol. 36, Iss. 4, pp. 1875-1888
Closed Access | Times Cited: 18
Predicción de Riesgos Psicosociales en Docentes de Colegios Públicos Colombianos utilizando Técnicas de Inteligencia Artificial
Rodolfo Mosquera, Ómar Danilo Castrillón, Liliana Parra Osorio
Información tecnológica (2018) Vol. 29, Iss. 4, pp. 267-280
Open Access | Times Cited: 18
A novel Error-Correcting Output Codes algorithm based on genetic programming
Ke-Sen Li, Hanrui Wang, Kunhong Liu
Swarm and Evolutionary Computation (2019) Vol. 50, pp. 100564-100564
Closed Access | Times Cited: 16
Feature selection using non-binary decision trees applied to condition monitoring
Bruno Ferreira, Rui Silva, Vítor Pereira
(2017), pp. 1-7
Closed Access | Times Cited: 15
Architecture search of accurate and lightweight CNNs using genetic algorithm
Jiayu Liang, Hanqi Cao, Yaxin Lu, et al.
Genetic Programming and Evolvable Machines (2024) Vol. 25, Iss. 1
Closed Access | Times Cited: 1
Grey wolf optimizer and other metaheuristic optimization techniques with image processing as their applications: a review
Alok Kumar, Lekhraj, Safalata Singh, et al.
IOP Conference Series Materials Science and Engineering (2021) Vol. 1136, Iss. 1, pp. 012053-012053
Open Access | Times Cited: 11
Design of estimators for restoration of images degraded by haze using genetic programming
José Enrique Hernández-Beltrán, Víctor H. Díaz-Ramírez, Leonardo Trujillo, et al.
Swarm and Evolutionary Computation (2018) Vol. 44, pp. 49-63
Closed Access | Times Cited: 12
Preference-driven Pareto front exploitation for bloat control in genetic programming
Jiayu Liang, Yuxin Liu, Yu Xue
Applied Soft Computing (2020) Vol. 92, pp. 106254-106254
Closed Access | Times Cited: 8
Multi-Objective Memetic Algorithms with Tree-Based Genetic Programming and Local Search for Symbolic Regression
Jiayu Liang, Yu Xue
Neural Processing Letters (2021) Vol. 53, Iss. 3, pp. 2197-2219
Closed Access | Times Cited: 6
PSEV-BF Methodology for Object Recognition of Birds in Uncontrolled Environments
Lucía J. Hernández-González, Juan Frausto–Solís, Juan Javier González Barbosa, et al.
Axioms (2023) Vol. 12, Iss. 2, pp. 197-197
Open Access | Times Cited: 2
Bi-objective memetic GP with dispersion-keeping Pareto evaluation for real-world regression
Jiayu Liang, Yu Xue, Jianming Wang
Information Sciences (2020) Vol. 539, pp. 16-35
Closed Access | Times Cited: 5
Steel strip surface inspection through the combination of feature selection and multiclass classifiers
Zheng Zhang, Wei Liu, Egon Ostrosi, et al.
Engineering Computations (2020) Vol. 38, Iss. 4, pp. 1831-1850
Closed Access | Times Cited: 4
From bibliometrics to text mining: exploring feature selection methods in microarray research
Guilherme Ribeiro, Rommel Barbosa, Márcio da Cunha Reis, et al.
Communications in Statistics - Simulation and Computation (2024), pp. 1-17
Closed Access
Integration of image segmentation and fuzzy theory to improve the accuracy of damage detection areas in traffic accidents
Majid Amirfakhrian, Mahboub Parhizkar
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 4
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