Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

An improved moth flame optimization algorithm based on modified dynamic opposite learning strategy
Saroj Kumar Sahoo, Apu Kumar Saha, Sukanta Nama, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 4, pp. 2811-2869
Closed Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Chaotic marine predators algorithm for global optimization of real-world engineering problems
Sumit Kumar, Betül Sultan Yıldız, Pranav Mehta, et al.
Knowledge-Based Systems (2022) Vol. 261, pp. 110192-110192
Closed Access | Times Cited: 95
Black-winged kite algorithm: a nature-inspired meta-heuristic for solving benchmark functions and engineering problems
Jun Wang, Wenchuan Wang, Xiao-xue Hu, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 4
Open Access | Times Cited: 83
Secretary bird optimization algorithm: a new metaheuristic for solving global optimization problems
Youfa Fu, Dan Liu, Jiadui Chen, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 5
Open Access | Times Cited: 64
MFO-SFR: An Enhanced Moth-Flame Optimization Algorithm Using an Effective Stagnation Finding and Replacing Strategy
Mohammad H. Nadimi-Shahraki, Hoda Zamani, Ali Fatahi, et al.
Mathematics (2023) Vol. 11, Iss. 4, pp. 862-862
Open Access | Times Cited: 44
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: 26
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: 16
Dung Beetle Optimization Algorithm Based on Improved Multi-Strategy Fusion
Rencheng Fang, Tao Zhou, Baohua Yu, et al.
Electronics (2025) Vol. 14, Iss. 1, pp. 197-197
Open Access | Times Cited: 1
Modified random-oppositional chaotic artificial rabbit optimization algorithm for solving structural problems and optimal sizing of hybrid renewable energy system
Sarada Mohapatra, Himadri Lala, Prabhujit Mohapatra
Evolutionary Intelligence (2025) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
Self-adaptive moth flame optimizer combined with crossover operator and Fibonacci search strategy for COVID-19 CT image segmentation
Saroj Kumar Sahoo, Essam H. Houssein, M. Premkumar, et al.
Expert Systems with Applications (2023) Vol. 227, pp. 120367-120367
Open Access | Times Cited: 34
A Novel Variant of Moth Flame Optimizer for Higher Dimensional Optimization Problems
Saroj Kumar Sahoo, Sushmita Sharma, Apu Kumar Saha
Journal of Bionic Engineering (2023) Vol. 20, Iss. 5, pp. 2389-2415
Closed Access | Times Cited: 21
Applying Optimized Machine Learning Models for Predicting Unconfined Compressive Strength in Fine-Grained Soil
Ishwor Thapa, Sufyan Ghani
Transportation Infrastructure Geotechnology (2024) Vol. 11, Iss. 4, pp. 2235-2269
Closed Access | Times Cited: 9
Machine learning approaches for real-time prediction of compressive strength in self-compacting concrete
Sufyan Ghani, Nishant Kumar, Megha Gupta, et al.
Asian Journal of Civil Engineering (2023) Vol. 25, Iss. 3, pp. 2743-2760
Closed Access | Times Cited: 17
F-WOA: an improved whale optimization algorithm based on Fibonacci search principle for global optimization
Saroj Kumar Sahoo, Salpa Reang, Apu Kumar Saha, et al.
Elsevier eBooks (2024), pp. 217-233
Closed Access | Times Cited: 6
An echo state network model with the protein structure for time series prediction
Yuanpeng Gong, Shuxian Lun, Ming Li, et al.
Applied Soft Computing (2024) Vol. 153, pp. 111257-111257
Closed Access | Times Cited: 5
A boosted African vultures optimization algorithm combined with logarithmic weight inspired novel dynamic chaotic opposite learning strategy
Vanisree Chandran, Prabhujit Mohapatra
Expert Systems with Applications (2025), pp. 126532-126532
Closed Access
Dynamic feature selection and quantum representation for precise heart disease prediction: Quantum-HeartDiseaseNet approach
Liza M Kunjachen, R. Kavitha
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-22
Closed Access
Enhanced zebra optimization algorithm for reliability redundancy allocation and engineering optimization problems
Parul Punia, Amit Raj, Pawan Kumar
Cluster Computing (2025) Vol. 28, Iss. 4
Closed Access
Comprehensive performance metric for bio-inspired optimizers: a generation-wise population convergence approach toward global optimality
Shivankur Thapliyal, Narender Kumar
Iran Journal of Computer Science (2025)
Closed Access
Multi-objective quasi-reflection learning and weight strategy-based moth flame optimization algorithm
Saroj Kumar Sahoo, M. Premkumar, Apu Kumar Saha, et al.
Neural Computing and Applications (2023) Vol. 36, Iss. 8, pp. 4229-4261
Closed Access | Times Cited: 12
MSI-HHO: Multi-Strategy Improved HHO Algorithm for Global Optimization
Haosen Wang, Jun Tang, Qingtao Pan
Mathematics (2024) Vol. 12, Iss. 3, pp. 415-415
Open Access | Times Cited: 4
A comprehensive survey of artificial intelligence-based techniques for performance enhancement of solid oxide fuel cells: Test cases with debates
Hossam Ashraf, Abdelmonem Draz
Artificial Intelligence Review (2024) Vol. 57, Iss. 2
Open Access | Times Cited: 4
Dendritic Growth Optimization: A Novel Nature-Inspired Algorithm for Real-World Optimization Problems
Ishaani Priyadarshini
Biomimetics (2024) Vol. 9, Iss. 3, pp. 130-130
Open Access | Times Cited: 4
Modified Archimedes optimization algorithm for global optimization problems: a comparative study
Mustafa Nurmuhammed, Ozan Akdağ, Teoman Karadağ
Neural Computing and Applications (2024) Vol. 36, Iss. 14, pp. 8007-8038
Open Access | Times Cited: 4
Turbofan Engine Health Prediction Model Based on ESO-BP Neural Network
Xiaoli Zhang, Nuo Xu, Wei Dai, et al.
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 1996-1996
Open Access | Times Cited: 4
Hyperbolic Sine Optimizer: a new metaheuristic algorithm for high performance computing to address computationally intensive tasks
Shivankur Thapliyal, Narender Kumar
Cluster Computing (2024) Vol. 27, Iss. 5, pp. 6703-6772
Closed Access | Times Cited: 4
Page 1 - Next Page

Scroll to top