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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:

Speed up differential evolution for computationally expensive protein structure prediction problems
Hojjat Rakhshani, Lhassane Idoumghar, Julien Lepagnot, et al.
Swarm and Evolutionary Computation (2019) Vol. 50, pp. 100493-100493
Open Access | Times Cited: 25

Showing 25 citing articles:

Combining Lipschitz and RBF surrogate models for high-dimensional computationally expensive problems
Jakub Kůdela, Radomil Matoušek
Information Sciences (2022) Vol. 619, pp. 457-477
Open Access | Times Cited: 28
Bilinear optimization of protein structure prediction: An exact approach via AB off-lattice model
Luiza Scapinello Aquino da Silva, Laio Oriel Seman, Eduardo Camponogara, et al.
Computers in Biology and Medicine (2024) Vol. 176, pp. 108558-108558
Closed Access | Times Cited: 6
A survey on expensive optimization problems using differential evolution
Chongle Ren, Zhenyu Meng
Applied Soft Computing (2025) Vol. 170, pp. 112727-112727
Closed Access
Surrogate-assisted differential evolution: A survey
Laiqi Yu, Zhenyu Meng, Lingping Kong, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101879-101879
Closed Access
Two infill criteria driven surrogate-assisted multi-objective evolutionary algorithms for computationally expensive problems with medium dimensions
Fan Li, Liang Gao, Akhil Garg, et al.
Swarm and Evolutionary Computation (2020) Vol. 60, pp. 100774-100774
Closed Access | Times Cited: 44
A surrogate-assisted hybrid swarm optimization algorithm for high-dimensional computationally expensive problems
Fan Li, Yingli Li, Xiwen Cai, et al.
Swarm and Evolutionary Computation (2022) Vol. 72, pp. 101096-101096
Closed Access | Times Cited: 21
Surrogate-assisted multi-objective evolutionary optimization with a multi-offspring method and two infill criteria
Fan Li, Liang Gao, Weiming Shen, et al.
Swarm and Evolutionary Computation (2023) Vol. 79, pp. 101315-101315
Closed Access | Times Cited: 11
Predicting flatness of strip tandem cold rolling using a general regression neural network optimized by differential evolution algorithm
Jianwei Zhao, Jingdong Li, Haotang Qie, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 126, Iss. 7-8, pp. 3219-3233
Closed Access | Times Cited: 9
An aRBF surrogate-assisted neighborhood field optimizer for expensive problems
Mingyuan Yu, Jing Liang, Kai Zhao, et al.
Swarm and Evolutionary Computation (2021) Vol. 68, pp. 100972-100972
Closed Access | Times Cited: 17
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
Competitive Knowledge Transfer–Enhanced Surrogate-Assisted Search for Production Optimization
Chenming Cao, Xiaoming Xue, Kai Zhang, et al.
SPE Journal (2024) Vol. 29, Iss. 06, pp. 3277-3292
Closed Access | Times Cited: 1
Evolutionary Computation in bioinformatics: A survey
Yanyun Zhang, Cheng Li, Guanyu Chen, et al.
Neurocomputing (2024) Vol. 591, pp. 127758-127758
Closed Access | Times Cited: 1
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
On the performance of deep learning for numerical optimization: An application to protein structure prediction
Hojjat Rakhshani, Lhassane Idoumghar, Soheila Ghambari, et al.
Applied Soft Computing (2021) Vol. 110, pp. 107596-107596
Open Access | Times Cited: 8
Ab Initio Protein Structure Prediction Using Evolutionary Approach: A Survey
Lucas Siqueira, Sandra M. Venske
Revista de Informática Teórica e Aplicada (2021) Vol. 28, Iss. 2, pp. 11-24
Open Access | Times Cited: 8
Elitist Animal Migration Optimization for Protein Structure Prediction based on 3D Off-Lattice Model
Ezgi Deniz Ülker
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 3
Open Access | Times Cited: 2
Bioinformatics Research Based on Evolutionary Computation
Qingfeng Chen
(2024), pp. 325-357
Closed Access
In silico Protein Structure Comparison of Conotoxins with VI/VII Cysteine Framework
Marineil C. Gomez, Riggs Anton D. Alvarico, Reincess E. Valbuena, et al.
(2019)
Closed Access | Times Cited: 3
Sequence-based protein structure optimization using enhanced simulated annealing algorithm on a coarse-grained model
Lizhong Zhang, He Ma, Wei Qian, et al.
Journal of Molecular Modeling (2020) Vol. 26, Iss. 9
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
On the performance of deep learning for numerical optimization: an application to protein structure prediction
Hojjat Rakhshani, Lhassane Idoumghar, Soheila Ghambari, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 1
Scaffold Matcher: A CMA‐ES based algorithm for identifying hotspot aligned peptidomimetic scaffolds
Erin Claussen, P. Douglas Renfrew, Christian L. Müller, et al.
Proteins Structure Function and Bioinformatics (2023) Vol. 92, Iss. 3, pp. 343-355
Open Access
Optimizing predictability of rating scales by differential evolution for the use by collective intelligent information and database systems
Waldemar W. Koczkodaj, T. Kakiashvili, Feng Li, et al.
Journal of Intelligent & Fuzzy Systems (2019) Vol. 37, Iss. 6, pp. 7545-7553
Closed Access
Protein Structure Prediction Using Quantile Dragonfly and Structural Class-Based Deep Learning
Varanavasi Nallasamy, Malarvizhi Seshiah
International Journal of Pattern Recognition and Artificial Intelligence (2022) Vol. 36, Iss. 04
Closed Access
CMA-ES-Rosetta: Blackbox optimization algorithm traverses rugged peptide docking energy landscapes
Erin Claussen, P. Douglas Renfrew, Christian L. Müller, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
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