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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:

Protein folding optimization using differential evolution extended with local search and component reinitialization
Borko Bošković, Janez Brest
Information Sciences (2018) Vol. 454-455, pp. 178-199
Open Access | Times Cited: 23

Showing 23 citing articles:

The Hiking Optimization Algorithm: A novel human-based metaheuristic approach
Sunday O. Oladejo, Stephen O. Ekwe, Seyedali Mirjalili
Knowledge-Based Systems (2024) Vol. 296, pp. 111880-111880
Open Access | Times Cited: 37
A novel multi-objective evolutionary algorithm with fuzzy logic based adaptive selection of operators: FAME
Alejandro Santiago, Bernabé Dorronsoro, Antonio J. Nebro, et al.
Information Sciences (2018) Vol. 471, pp. 233-251
Closed Access | Times Cited: 87
The 100-Digit Challenge: Algorithm jDE100
Janez Brest, Mirjam Sepesy Maučec, Borko Bošković
2022 IEEE Congress on Evolutionary Computation (CEC) (2019), pp. 19-26
Closed Access | Times Cited: 87
A comprehensive study of chaos embedded bridging mechanisms and crossover operators for grasshopper optimisation algorithm
Akash Saxena
Expert Systems with Applications (2019) Vol. 132, pp. 166-188
Closed Access | Times Cited: 57
Differential Evolution Algorithm for Single Objective Bound-Constrained Optimization: Algorithm j2020
Janez Brest, Mirjam Sepesy Maučec, Borko Bošković
2022 IEEE Congress on Evolutionary Computation (CEC) (2020), pp. 1-8
Closed Access | Times Cited: 56
Enhancing Differential Evolution With Novel Parameter Control
Zhenyu Meng, Yuxin Chen, Xiaoqing Li
IEEE Access (2020) Vol. 8, pp. 51145-51167
Open Access | Times Cited: 22
A GPU-based hybrid jDE algorithm applied to the 3D-AB protein structure prediction
Mateus Boiani, Rafael Stubs Parpinelli
Swarm and Evolutionary Computation (2020) Vol. 58, pp. 100711-100711
Closed Access | Times Cited: 17
Analysis based on statistical distributions: A practical approach for stochastic solvers using discrete and continuous problems
Jana Herzog, Janez Brest, Borko Bošković
Information Sciences (2023) Vol. 633, pp. 469-490
Open Access | Times Cited: 5
Chaotic Variants of Grasshopper Optimization Algorithm and Their Application to Protein Structure Prediction
Akash Saxena, Rajesh Kumar
Springer tracts in nature-inspired computing (2019), pp. 151-175
Closed Access | Times Cited: 13
Chaotic step length artificial bee colony algorithms for protein structure prediction
Akash Saxena, Shalini Shekhawat, Ajay Sharma, et al.
Journal of Interdisciplinary Mathematics (2020) Vol. 23, Iss. 2, pp. 617-629
Closed Access | Times Cited: 10
Two-phase protein folding optimization on a three-dimensional AB off-lattice model
Borko Bošković, Janez Brest
Swarm and Evolutionary Computation (2020) Vol. 57, pp. 100708-100708
Open Access | Times Cited: 10
Gray wolf optimization-based self-organizing fuzzy multi-objective evolution algorithm
Jialiang Xie, Shanli Zhang, Honghui Wang, et al.
Soft Computing (2022) Vol. 26, Iss. 22, pp. 12077-12092
Closed Access | Times Cited: 6
AnomalP: An approach for detecting anomalous protein conformations using deep autoencoders
Gabriela Czibula, Carmina Codre, Mihai Teletin
Expert Systems with Applications (2020) Vol. 166, pp. 114070-114070
Closed Access | Times Cited: 7
Performance Evaluation of Ingenious Crow Search Optimization Algorithm for Protein Structure Prediction
Ahmad M. Alshamrani, Akash Saxena, Shalini Shekhawat, et al.
Processes (2023) Vol. 11, Iss. 6, pp. 1655-1655
Open Access | Times Cited: 2
Generating new protein sequences by using dense network and attention mechanism
Feng Wang, Xiaochen Feng, Ren Kong, et al.
Mathematical Biosciences & Engineering (2022) Vol. 20, Iss. 2, pp. 4178-4197
Open Access | Times Cited: 3
Protein Folding Simulation Using Combinatorial Whale Optimization Algorithm
Ioan Sima, Bazil Pârv
(2019) Vol. 119, pp. 159-166
Closed Access | Times Cited: 2
A massively parallel speciation‐based differential evolution algorithm applied to the 3D‐AB protein structure prediction
Rafael Stubs Parpinelli, Mateus Boiani, André Dias
Concurrency and Computation Practice and Experience (2021) Vol. 35, Iss. 17
Closed Access | Times Cited: 2
Protein Folding Optimization in a Hydrophobic-Polar Model for Predicting Tertiary Structure Using Fruit Fly Optimization Algorithm
Sajib Chatterjee, Pintu Chandra Shill
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2019), pp. 1-7
Closed Access | Times Cited: 1
Segmentation of Magnetic Resonance Brain Images Through the Self-Adaptive Differential Evolution Algorithm and the Minimum Cross-Entropy Criterion
Itzel Aranguren, Arturo Valdivia, Marco Pérez‐Cisneros
Studies in computational intelligence (2020), pp. 311-350
Closed Access | Times Cited: 1
Aplicação de Evolução Diferencial em GPU Para o Problema de Predição de Estrutura de Proteínas com Modelo 3D AB Off-Lattice
André Dias, Mateus Boiani, Rafael Stubs Parpinelli
(2020), pp. 323-334
Open Access | Times Cited: 1
Application of Hybridized Whale Optimization for Protein Structure Prediction
Akash Saxena, Shalini Shekhawat, Ajay Sharma, et al.
Advances in intelligent systems and computing (2021), pp. 141-150
Closed Access | Times Cited: 1
Editorial of the special issue on differential evolution
Janez Brest, Ferrante Neri
Swarm and Evolutionary Computation (2019) Vol. 50, pp. 100583-100583
Closed Access
Grey Wolf Optimization Based Self-Organizing Fuzzy Multi-Objective Evolution Algorithm
Jialiang Xie, Shanli Zhang, Honghui Wang, et al.
Research Square (Research Square) (2021)
Open Access
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