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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:

An ensemble approach to meta-heuristic algorithms: Comparative analysis and its applications
Priyanka Singh, Rahul Kottath
Computers & Industrial Engineering (2021) Vol. 162, pp. 107739-107739
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Machine learning prediction of pyrolytic products of lignocellulosic biomass based on physicochemical characteristics and pyrolysis conditions
Zixun Dong, Xiaopeng Bai, Daochun Xu, et al.
Bioresource Technology (2022) Vol. 367, pp. 128182-128182
Closed Access | Times Cited: 63
MCSA: Multi-strategy boosted chameleon-inspired optimization algorithm for engineering applications
Gang Hu, Rui Yang, Xinqiang Qin, et al.
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 403, pp. 115676-115676
Closed Access | Times Cited: 53
EABOA: Enhanced adaptive butterfly optimization algorithm for numerical optimization and engineering design problems
Kai He, Yong Zhang, Yukun Wang, et al.
Alexandria Engineering Journal (2024) Vol. 87, pp. 543-573
Open Access | Times Cited: 12
Metaheuristic-based hyperparameter optimization for multi-disease detection and diagnosis in machine learning
Jagandeep Singh, Jasminder Kaur Sandhu, Yogesh Kumar
Service Oriented Computing and Applications (2024) Vol. 18, Iss. 2, pp. 163-182
Closed Access | Times Cited: 9
Independent task scheduling algorithms in fog environments from users’ and service providers’ perspectives: a systematic review
Abdulrahman K. Al-Qadhi, Rohaya Latip, Raymond Chiong, et al.
Cluster Computing (2025) Vol. 28, Iss. 3
Closed Access | Times Cited: 1
Predicting the mechanical properties of TiCp/Fe composites considering multiphase interaction: A data-physical hybrid-driven approach
Zhenzhong Zhang, Qingzhe Meng, Laixiao Lu, et al.
Journal of Alloys and Compounds (2025), pp. 179349-179349
Closed Access | Times Cited: 1
Ameliorated Follow The Leader: Algorithm and Application to Truss Design Problem
Priyanka Singh, Rahul Kottath, Ghanshyam G. Tejani
Structures (2022) Vol. 42, pp. 181-204
Closed Access | Times Cited: 28
A framework for neural network based constitutive modelling of inelastic materials
Wulf G. Dettmer, Eugenio J. Muttio, Reem Alhayki, et al.
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 420, pp. 116672-116672
Open Access | Times Cited: 13
Influencer buddy optimization: Algorithm and its application to electricity load and price forecasting problem
Rahul Kottath, Priyanka Singh
Energy (2022) Vol. 263, pp. 125641-125641
Closed Access | Times Cited: 21
Ensemble approach for heart disease diagnosis integrating HHO algorithm and machine learning techniques
Haedar Emad Sharef Alsafi, Jorge Munilla
AIP conference proceedings (2025) Vol. 3264, pp. 040006-040006
Closed Access
A supervised parallel optimisation framework for metaheuristic algorithms
Eugenio J. Muttio, Wulf G. Dettmer, J. Clarke, et al.
Swarm and Evolutionary Computation (2023) Vol. 84, pp. 101445-101445
Open Access | Times Cited: 10
Swarm-based hybrid optimization algorithms: an exhaustive analysis and its applications to electricity load and price forecasting
Rahul Kottath, Priyanka Singh, Anirban Bhowmick
Soft Computing (2023) Vol. 27, Iss. 19, pp. 14095-14126
Open Access | Times Cited: 8
An ensemble optimizer with a stacking ensemble surrogate model for identification of groundwater contamination source
Liuzhi Zhu, Wenxi Lu, Chengming Luo, et al.
Journal of Contaminant Hydrology (2024) Vol. 267, pp. 104437-104437
Closed Access | Times Cited: 2
Wireless Sensor Network Coverage Optimization Using a Modified Marine Predator Algorithm
Guohao Wang, Xun Li
Sensors (2024) Vol. 25, Iss. 1, pp. 69-69
Open Access | Times Cited: 2
A novel hybrid hunger games algorithm for intrusion detection systems based on nonlinear regression modeling
Shahriar Mohammadi, Mehdi Babagoli
International Journal of Information Security (2023) Vol. 22, Iss. 5, pp. 1177-1195
Open Access | Times Cited: 5
Predicting project duration using a coupled artificial neural network and Taguchi method approach
Larbi Bendada, Mourad Brioua, Mohamed Razi Morakchi, et al.
STUDIES IN ENGINEERING AND EXACT SCIENCES (2024) Vol. 5, Iss. 2, pp. e5641-e5641
Open Access | Times Cited: 1
Mapping seagrass habitats of potential suitability using a hybrid machine learning model
Bohao He, Yanghe Zhao, Siyu Liu, et al.
Frontiers in Ecology and Evolution (2023) Vol. 11
Open Access | Times Cited: 3
A Meta-heuristic Learning Approach for Short-term Price Forecasting
Rahul Kottath, Priyanka Singh
Lecture notes in networks and systems (2022), pp. 147-156
Closed Access | Times Cited: 4
Chaos follow the leader algorithm: Application to data classification
Priyanka Singh, Rahul Kottath
Journal of Computational Science (2022) Vol. 65, pp. 101886-101886
Closed Access | Times Cited: 4
Prediction of Potential Seagrass Habitat Using Remote Sensing Big Data and Machine Learning
Bohao He, Yanghe Zhao, Siyu Liu, et al.
(2022)
Open Access | Times Cited: 3
Influencer-defaulter mutation-based optimization algorithms for predicting electricity prices
Priyanka Singh, Rahul Kottath
Utilities Policy (2022) Vol. 79, pp. 101444-101444
Closed Access | Times Cited: 3
A novel influencer mutation strategy for nature-inspired optimization algorithms to solve electricity price forecasting problem
Priyanka Singh, Rahul Kottath
Advances in computers (2024), pp. 179-209
Closed Access
Toward Optimal Feature Selection: A Framework Harnessing Ensemble Metaheuristics
Logan R. Zipp, Aaron Garrett, Manish Osti, et al.
Research Square (Research Square) (2024)
Open Access
Integration of Artificial Intelligence and Machine Learning for Internet of Things
Kamal Kumar, Vinod Kumar, Seema
(2023), pp. 491-497
Closed Access | Times Cited: 1
Very Short-Term Load Forecasting with Deep Learning Neural Network in Delhi, India
Priyanka Singh, Pragya Dwivedi
Lecture notes in networks and systems (2022), pp. 125-134
Closed Access | Times Cited: 1
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