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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:

Non-dominated sorting moth flame optimization (NS-MFO) for multi-objective problems
Vimal Savsani, Mohamed A. Tawhid
Engineering Applications of Artificial Intelligence (2017) Vol. 63, pp. 20-32
Closed Access | Times Cited: 102

Showing 1-25 of 102 citing articles:

Moth–flame optimization algorithm: variants and applications
Mohammad Shehab, Laith Abualigah, Husam Al Hamad, et al.
Neural Computing and Applications (2019) Vol. 32, Iss. 14, pp. 9859-9884
Closed Access | Times Cited: 251
Application of state-of-the-art multiobjective metaheuristic algorithms in reliability-based design optimization: a comparative study
Zeng Meng, Betül Sultan Yıldız, Gang Li, et al.
Structural and Multidisciplinary Optimization (2023) Vol. 66, Iss. 8
Closed Access | Times Cited: 82
Improving the prediction of heating energy consumed at residential buildings using a combination of support vector regression and meta-heuristic algorithms
Hamed Khajavi, Amir Rastgoo
Energy (2023) Vol. 272, pp. 127069-127069
Closed Access | Times Cited: 58
Many‑objective meta-heuristic methods for solving constrained truss optimisation problems: A comparative analysis
Natee Panagant, Sumit Kumar, Ghanshyam G. Tejani, et al.
MethodsX (2023) Vol. 10, pp. 102181-102181
Open Access | Times Cited: 43
A Critical Review of Moth-Flame Optimization Algorithm and Its Variants: Structural Reviewing, Performance Evaluation, and Statistical Analysis
Hoda Zamani, Mohammad H. Nadimi-Shahraki, Seyedali Mirjalili, et al.
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 4, pp. 2177-2225
Closed Access | Times Cited: 30
Predicting Daily Heating Energy Consumption in Residential Buildings through Integration of Random Forest Model and Meta-Heuristic Algorithms
Weiyan Xu, Jielei Tu, Ning Xu, et al.
Energy (2024) Vol. 301, pp. 131726-131726
Closed Access | Times Cited: 20
Multi-objective Mantis Search Algorithm (MOMSA): A novel approach for engineering design problems and validation
Mohammed Jameel, Mohamed Abouhawwash
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 422, pp. 116840-116840
Closed Access | Times Cited: 18
An Improved Marine Predators Algorithm With Fuzzy Entropy for Multi-Level Thresholding: Real World Example of COVID-19 CT Image Segmentation
Mohamed Abd Elaziz, Ahmed A. Ewees, Dalia Yousri, et al.
IEEE Access (2020) Vol. 8, pp. 125306-125330
Open Access | Times Cited: 126
An Improved Moth-Flame Optimization algorithm with hybrid search phase
Danilo Pelusi, Raffaele Mascella, Luca G. Tallini, et al.
Knowledge-Based Systems (2019) Vol. 191, pp. 105277-105277
Closed Access | Times Cited: 117
Multi-Objective Stochastic Fractal Search: a powerful algorithm for solving complex multi-objective optimization problems
Soheyl Khalilpourazari, Bahman Naderi, Saman Khalilpourazary
Soft Computing (2019) Vol. 24, Iss. 4, pp. 3037-3066
Closed Access | Times Cited: 83
MOMPA: Multi-objective marine predator algorithm for solving multi-objective optimization problems
Pradeep Jangir, Hitarth Buch, Seyedali Mirjalili, et al.
Evolutionary Intelligence (2021) Vol. 16, Iss. 1, pp. 169-195
Closed Access | Times Cited: 77
An Improved Moth-Flame Optimization Algorithm with Adaptation Mechanism to Solve Numerical and Mechanical Engineering Problems
Mohammad H. Nadimi-Shahraki, Ali Fatahi, Hoda Zamani, et al.
Entropy (2021) Vol. 23, Iss. 12, pp. 1637-1637
Open Access | Times Cited: 66
A combined multi-objective intelligent optimization approach considering techno-economic and reliability factors for hybrid-renewable microgrid systems
Azim Heydari, Meysam Majidi Nezhad, Farshid Keynia, et al.
Journal of Cleaner Production (2022) Vol. 383, pp. 135249-135249
Closed Access | Times Cited: 54
Multi-objective sparrow search algorithm: A novel algorithm for solving complex multi-objective optimisation problems
Bin Li, Honglei Wang
Expert Systems with Applications (2022) Vol. 210, pp. 118414-118414
Closed Access | Times Cited: 50
Moth Flame Optimization: Theory, Modifications, Hybridizations, and Applications
Saroj Kumar Sahoo, Apu Kumar Saha, Absalom E. Ezugwu, et al.
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 1, pp. 391-426
Open Access | Times Cited: 50
An arithmetic and geometric mean-based multi-objective moth-flame optimization algorithm
Saroj Kumar Sahoo, Apu Kumar Saha, Essam H. Houssein, et al.
Cluster Computing (2024) Vol. 27, Iss. 5, pp. 6527-6561
Closed Access | Times Cited: 10
A review of mothflame optimization algorithm: analysis and applications
Laith Abualigah, Laheeb Al-Abadi, Abiodun M. Ikotun, et al.
Elsevier eBooks (2024), pp. 205-219
Closed Access | Times Cited: 9
Enhanced a hybrid moth-flame optimization algorithm using new selection schemes
Mohammad Shehab, Hanadi Alshawabkah, Laith Abualigah, et al.
Engineering With Computers (2020) Vol. 37, Iss. 4, pp. 2931-2956
Closed Access | Times Cited: 70
A comprehensive review of moth-flame optimisation: variants, hybrids, and applications
Abdelazim G. Hussien, Mohammed A. Amin, Mohamed Abd Elaziz
Journal of Experimental & Theoretical Artificial Intelligence (2020) Vol. 32, Iss. 4, pp. 705-725
Closed Access | Times Cited: 68
Chaos-enhanced moth-flame optimization algorithm for global optimization
Hongwei Li, Jianyong Liu, Liang Chen, et al.
Journal of Systems Engineering and Electronics (2019) Vol. 30, Iss. 6, pp. 1144-1159
Open Access | Times Cited: 60
A new algorithm based on gray wolf optimizer and shuffled frog leaping algorithm to solve the multi-objective optimization problems
Murat Karakoyun, Ahmet Özkış, Halife Kodaz
Applied Soft Computing (2020) Vol. 96, pp. 106560-106560
Closed Access | Times Cited: 57
Review of Metaheuristics Inspired from the Animal Kingdom
Elena-Niculina Drăgoi, Vlad Dafinescu
Mathematics (2021) Vol. 9, Iss. 18, pp. 2335-2335
Open Access | Times Cited: 42
Dealing with multi-modality using synthesis of Moth-flame optimizer with sine cosine mechanisms
Chengcheng Chen, Xianchang Wang, Helong Yu, et al.
Mathematics and Computers in Simulation (2021) Vol. 188, pp. 291-318
Closed Access | Times Cited: 41
An Archive-Based Multi-Objective Arithmetic Optimization Algorithm for Solving Industrial Engineering Problems
Nima Khodadadi, Laith Abualigah, El-Sayed M. El-kenawy, et al.
IEEE Access (2022) Vol. 10, pp. 106673-106698
Open Access | Times Cited: 36
Enhanced Moth-flame Optimizer with Quasi-Reflection and Refraction Learning with Application to Image Segmentation and Medical Diagnosis
Yinghai Ye, Huiling Chen, Zhifang Pan, et al.
Current Bioinformatics (2022) Vol. 18, Iss. 2, pp. 109-142
Closed Access | Times Cited: 35
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