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.

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RETRACTED ARTICLE: A new binary salp swarm algorithm: development and application for optimization tasks
Rizk M. Rizk‐Allah, Aboul Ella Hassanien, Mohamed Elhoseny, et al.
Neural Computing and Applications (2018) Vol. 31, Iss. 5, pp. 1641-1663
Closed Access | Times Cited: 125

Showing 1-25 of 125 citing articles:

Salp swarm algorithm: a comprehensive survey
Laith Abualigah, Mohammad Shehab, Mohammad Alshinwan, et al.
Neural Computing and Applications (2019) Vol. 32, Iss. 15, pp. 11195-11215
Closed Access | Times Cited: 340

HSMA_WOA: A hybrid novel Slime mould algorithm with whale optimization algorithm for tackling the image segmentation problem of chest X-ray images
Mohamed Abdel-Basset, Victor Chang, Reda Mohamed
Applied Soft Computing (2020) Vol. 95, pp. 106642-106642
Open Access | Times Cited: 216

A Hybrid COVID-19 Detection Model Using an Improved Marine Predators Algorithm and a Ranking-Based Diversity Reduction Strategy
Mohamed Abdel‐Basset, Reda Mohamed, Mohamed Elhoseny, et al.
IEEE Access (2020) Vol. 8, pp. 79521-79540
Open Access | Times Cited: 162

Differential evolution-assisted salp swarm algorithm with chaotic structure for real-world problems
Hongliang Zhang, Tong Liu, Xiaojia Ye, et al.
Engineering With Computers (2022) Vol. 39, Iss. 3, pp. 1735-1769
Open Access | Times Cited: 76

Weighted mean of vectors optimization algorithm and its application in designing the power system stabilizer
Václav Snåšel, Rizk M. Rizk‐Allah, Davut İzci, et al.
Applied Soft Computing (2023) Vol. 136, pp. 110085-110085
Closed Access | Times Cited: 47

A novel equilibrium optimization algorithm for multi-thresholding image segmentation problems
Mohamed Abdel‐Basset, Victor Chang, Reda Mohamed
Neural Computing and Applications (2020) Vol. 33, Iss. 17, pp. 10685-10718
Closed Access | Times Cited: 137

A novel multi-objective hybrid particle swarm and salp optimization algorithm for technical-economical-environmental operation in power systems
Ragab A. El‐Sehiemy, F. Selim, Bachir Bentouati, et al.
Energy (2019) Vol. 193, pp. 116817-116817
Closed Access | Times Cited: 124

Chaos-Induced and Mutation-Driven Schemes Boosting Salp Chains-Inspired Optimizers
Qian Zhang, Huiling Chen, Ali Asghar Heidari, et al.
IEEE Access (2019) Vol. 7, pp. 31243-31261
Open Access | Times Cited: 106

RETRACTED ARTICLE: Secure prediction and assessment of sports injuries using deep learning based convolutional neural network
Hesheng Song, xiu-ying Han, Carlos Montenegro, et al.
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 12, Iss. 3, pp. 3399-3410
Closed Access | Times Cited: 89

A dynamic locality multi-objective salp swarm algorithm for feature selection
Ibrahim Aljarah, Maria Habib, Hossam Faris, et al.
Computers & Industrial Engineering (2020) Vol. 147, pp. 106628-106628
Closed Access | Times Cited: 87

Artificial ecosystem optimizer for parameters identification of proton exchange membrane fuel cells model
Rizk M. Rizk‐Allah, Attia A. El‐Fergany
International Journal of Hydrogen Energy (2020) Vol. 46, Iss. 75, pp. 37612-37627
Closed Access | Times Cited: 83

A multi-strategy enhanced salp swarm algorithm for global optimization
Hongliang Zhang, Zhennao Cai, Xiaojia Ye, et al.
Engineering With Computers (2020) Vol. 38, Iss. 2, pp. 1177-1203
Closed Access | Times Cited: 82

Heart disease prediction by using novel optimization algorithm: A supervised learning prospective
Sibo Prasad Patro, Gouri Sankar Nayak, Neelamadhab Padhy
Informatics in Medicine Unlocked (2021) Vol. 26, pp. 100696-100696
Open Access | Times Cited: 75

Ensemble mutation-driven salp swarm algorithm with restart mechanism: Framework and fundamental analysis
Hongliang Zhang, Zhiyan Wang, Weibin Chen, et al.
Expert Systems with Applications (2020) Vol. 165, pp. 113897-113897
Closed Access | Times Cited: 72

An enhanced opposition-based Salp Swarm Algorithm for global optimization and engineering problems
Abdelazim G. Hussien
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 13, Iss. 1, pp. 129-150
Closed Access | Times Cited: 68

Chaos-opposition-enhanced slime mould algorithm for minimizing the cost of energy for the wind turbines on high-altitude sites
Rizk M. Rizk‐Allah, Aboul Ella Hassanien, Dongran Song
ISA Transactions (2021) Vol. 121, pp. 191-205
Closed Access | Times Cited: 65

SChoA: a newly fusion of sine and cosine with chimp optimization algorithm for HLS of datapaths in digital filters and engineering applications
Mandeep Kaur, Ranjit Kaur, Narinder Singh, et al.
Engineering With Computers (2021) Vol. 38, Iss. S2, pp. 975-1003
Closed Access | Times Cited: 60

Evolutionary mating algorithm
Mohd Herwan Sulaiman, Zuriani Mustaffa, Mohd Mawardi Saari, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 1, pp. 487-516
Closed Access | Times Cited: 50

Binary Sand Cat Swarm Optimization Algorithm for Wrapper Feature Selection on Biological Data
Amir Seyyedabbasi
Biomimetics (2023) Vol. 8, Iss. 3, pp. 310-310
Open Access | Times Cited: 32

Sin-Cos-bIAVOA: A new feature selection method based on improved African vulture optimization algorithm and a novel transfer function to DDoS attack detection
Zakieh Sharifian, Behrang Barekatain, Alfonso Ariza Quintana, et al.
Expert Systems with Applications (2023) Vol. 228, pp. 120404-120404
Closed Access | Times Cited: 23

Exploring Bayesian model averaging with multiple ANNs for meteorological drought forecasts
Mohammed Achite, Fatemeh Barzegari Banadkooki, Mohammad Ehteram, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 7, pp. 1835-1860
Closed Access | Times Cited: 34

A Novel Approach for Detection of Pavement Crack and Sealed Crack Using Image Processing and Salp Swarm Algorithm Optimized Machine Learning
Nhat‐Duc Hoang, Thanh‐Canh Huynh, Xuan-Linh Tran, et al.
Advances in Civil Engineering (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 34

Adaptive Barebones Salp Swarm Algorithm with Quasi-oppositional Learning for Medical Diagnosis Systems: A Comprehensive Analysis
Jianfu Xia, Hongliang Zhang, Rizeng Li, et al.
Journal of Bionic Engineering (2022) Vol. 19, Iss. 1, pp. 240-256
Closed Access | Times Cited: 30

Improved salp swarm algorithm combined with chaos
Mohamed A. Tawhid, Abdelmonem M. Ibrahim
Mathematics and Computers in Simulation (2022) Vol. 202, pp. 113-148
Closed Access | Times Cited: 30

A boosted chimp optimizer for numerical and engineering design optimization challenges
Ch. Leela Kumari, Vikram Kumar Kamboj, S. K. Bath, et al.
Engineering With Computers (2022) Vol. 39, Iss. 4, pp. 2463-2514
Open Access | Times Cited: 29

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