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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:

Interval forecasting for wind speed using a combination model based on multiobjective artificial hummingbird algorithm
Peiqi Sun, Zhenkun Liu, Jianzhou Wang, et al.
Applied Soft Computing (2023) Vol. 150, pp. 111090-111090
Closed Access | Times Cited: 24

Showing 24 citing articles:

Football team training algorithm: A novel sport-inspired meta-heuristic optimization algorithm for global optimization
Zhirui Tian, Gai Mei
Expert Systems with Applications (2024) Vol. 245, pp. 123088-123088
Closed Access | Times Cited: 40
A multi-scale analysis method with multi-feature selection for house prices forecasting
Jin Shao, Lean Yu, Nengmin Zeng, et al.
Applied Soft Computing (2025), pp. 112779-112779
Closed Access | Times Cited: 2
Optimal scheduling of renewable energy microgrids: A robust multi-objective approach with machine learning-based probabilistic forecasting
Diego Aguilar, Jhon J. Quiñones, Luis R. Pineda, et al.
Applied Energy (2024) Vol. 369, pp. 123548-123548
Closed Access | Times Cited: 10
Predicting dissolved oxygen level using Young's double-slit experiment optimizer-based weighting model
Ying Dong, Yuhuan Sun, Zhenkun Liu, et al.
Journal of Environmental Management (2023) Vol. 351, pp. 119807-119807
Closed Access | Times Cited: 16
A point-interval wind speed forecasting system based on fuzzy theory and neural networks architecture searching strategy
Jingjiang Liu, Jianzhou Wang, Yunbo Niu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107906-107906
Closed Access | Times Cited: 6
Artificial hummingbird algorithm: Theory, variants, analysis, applications, and performance evaluation
Buddhadev Sasmal, Arunita Das, Krishna Gopal Dhal, et al.
Computer Science Review (2025) Vol. 56, pp. 100727-100727
Closed Access
TXtreme: transformer-based extreme value prediction framework for time series forecasting
Hemant Yadav, Amit Thakkar
Deleted Journal (2025) Vol. 7, Iss. 2
Open Access
Simultaneous prediction of 10m and 100m wind speeds using a model inspired by brain emotional learning
Alireza Hakimi, Parvin Ghafarian
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
TVC Former: A transformer-based long-term multivariate time series forecasting method using time-variable coupling correlation graph
Zhenyu Liu, Yuan Feng, Hui Liu, et al.
Knowledge-Based Systems (2025), pp. 113147-113147
Closed Access
An Improved Multi-objective Artificial Hummingbird Algorithm for Capacity Allocation of Supercapacitor Energy Storage Systems in Urban Rail Transit
Xin Wang, Jian Feng, Yuxin Qin
Journal of Bionic Engineering (2025)
Closed Access
A novel interpretability machine learning model for wind speed forecasting based on feature and sub-model selection
Zhihao Shang, Yanhua Chen, Daokai Lai, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124560-124560
Closed Access | Times Cited: 2
Application of aggregation operators for forecasting PM10 fluctuations: From available Caribbean data sites to unequipped ones
Thomas Plocoste, Sébastien Regis, Silvère Paul Nuiro, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 6, pp. 102116-102116
Closed Access | Times Cited: 1
Short-Term Wind Speed Prediction for Bridge Site Area Based on Wavelet Denoising OOA-Transformer
Yan Gao, Baifu Cao, Wenhao Yu, et al.
Mathematics (2024) Vol. 12, Iss. 12, pp. 1910-1910
Open Access | Times Cited: 1
Enhancement of Texas wind turbine power predictions using fractional order neural network by incorporating machine learning models to impute missing data
Bhukya Ramadevi, Venkata Ramana Kasi, Kishore Bingi
Knowledge-Based Systems (2024) Vol. 300, pp. 112176-112176
Closed Access | Times Cited: 1
An enhanced gene expression programming for daily water consumption forecasting with new chromosome structure
Qingshuai Sun, Yingjie Zhang, Biliang Lu, et al.
Journal of Water Process Engineering (2024) Vol. 66, pp. 105873-105873
Closed Access | Times Cited: 1
Optimization and analysis of distributed power carrying capacity of distribution network based on DR-DQN
Zhichun Yang, Fan Yang, Huaidong Min, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access
Prediction of wind energy location by parallel programming using MPI-based KMEANS clustering algorithm
P. Priya Ponnuswamy, Shabariram Chokkalingam Palaniappan
Energy Sources Part A Recovery Utilization and Environmental Effects (2024) Vol. 46, Iss. 1, pp. 5451-5473
Closed Access
The seasonal model of chili price movement with the effect of long memory and exogenous variables for improving time series model accuracy
Dodi Devianto, Elsa Wahyuni, Maiyastri Maiyastri, et al.
Frontiers in Applied Mathematics and Statistics (2024) Vol. 10
Open Access
Multi-Timescale Voltage Regulation for Distribution Network with High Photovoltaic Penetration via Coordinated Control of Multiple Devices
Qingyuan Yan, xiangfei chen, Ling Xing, et al.
Energies (2024) Vol. 17, Iss. 15, pp. 3830-3830
Open Access
A novel hybrid model for multi-step-ahead forecasting of wind speed based on univariate data feature enhancement
Yaqi Wang, Xiaomeng Zhao, Zheng Li, et al.
Energy (2024), pp. 133515-133515
Closed Access
High spatiotemporal resolution estimation and analysis of global surface CO concentrations using a deep learning model
Mingyun Hu, Xingcheng Lu, Yiang Chen, et al.
Journal of Environmental Management (2024) Vol. 371, pp. 123096-123096
Closed Access
Particulate Matter 2.5 concentration prediction system based on uncertainty analysis and multi-model integration
Yamei Chen, Jianzhou Wang, Runze Li, et al.
The Science of The Total Environment (2024) Vol. 958, pp. 177924-177924
Closed Access
An innovative memory-enhanced Elman neural network-based selective ensemble system for short-term wind speed prediction
Xue-Yi Ai, Tao Feng, Gan Wei, et al.
Applied Energy (2024) Vol. 380, pp. 125108-125108
Closed Access
Probabilistic prediction intervals of short-term wind speed using selected features and time shift dependent machine learning models
Rami Al-Hajj, Gholamreza Oskrochi, Mohamad M. Fouad, et al.
Mathematical Biosciences & Engineering (2024) Vol. 22, Iss. 1, pp. 23-51
Open Access
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