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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:

Data-driven interpretable ensemble learning methods for the prediction of wind turbine power incorporating SHAP analysis
Celal Çakıroğlu, Sercan Demir, Mehmet Hakan Özdemir, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121464-121464
Closed Access | Times Cited: 76

Showing 26-50 of 76 citing articles:

An Explainable XGBoost Model for International Roughness Index Prediction and Key Factor Identification
Bin Lv, Haixia Gong, Dong Bin, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 1893-1893
Open Access
Peripheral blood microbiome signature and Mycobacterium tuberculosis-derived rsRNA as diagnostic biomarkers for tuberculosis in human
Wei Gu, Zhigang Huang, Yunfan Fan, et al.
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access
Advancing forest fire prediction: A multi-layer stacking ensemble model approach
Fahad Shahzad, Kaleem Mehmood, Shoaib Ahmad Anees, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access
Machine Learning-based Accidents Analysis and Risk Early Warning of Hazardous Materials Transportation
Huo Chai, Kewei Dong, Yiming Liang, et al.
Journal of Loss Prevention in the Process Industries (2025), pp. 105594-105594
Closed Access
Prediction of microalgae harvesting efficiency and identification of important parameters for ballasted flotation using an optimized machine learning model
Kaiwei Xu, Zihan Zhu, Haining Yu, et al.
Algal Research (2025), pp. 103985-103985
Closed Access
Prediction of compressive strength of high-performance concrete using optimization machine learning approaches with SHAP analysis
Md Mahamodul Islam, Pobithra Das, Md Mahbubur Rahman, et al.
Journal of Building Pathology and Rehabilitation (2024) Vol. 9, Iss. 2
Closed Access | Times Cited: 4
Quantifying compressive strength in limestone powder incorporated concrete with incorporating various machine learning algorithms with SHAP analysis
Mihir Mishra
Asian Journal of Civil Engineering (2024)
Closed Access | Times Cited: 4
A hybrid learning approach to model the diversity of window-opening behavior
Yiqiao Liu, Wen Tong Chong, Yat Huang Yau, et al.
Building and Environment (2024) Vol. 257, pp. 111525-111525
Closed Access | Times Cited: 3
China's future wind energy considering air density during climate change
Zeyu Zhang, Yushi Liang, Xinyue Xue, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 199, pp. 114452-114452
Closed Access | Times Cited: 3
Interpretable multi-graph convolution network integrating spatial-temporal attention and dynamic combination for wind power forecasting
Yongning Zhao, Haohan Liao, Shiji Pan, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124766-124766
Closed Access | Times Cited: 3
Study on Carbon Emission Influencing Factors and Carbon Emission Reduction Potential in China's Food Production Industry
Yuanping Wang, Lang Hu, Lingchun Hou, et al.
Environmental Research (2024) Vol. 261, pp. 119702-119702
Closed Access | Times Cited: 3
Power control of an autonomous wind energy conversion system based on a permanent magnet synchronous generator with integrated pumping storage
Farid Merahi, Hamza Mernache, Djamal Aouzelag, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Effective optimal control of a wind turbine system with hybrid energy storage and hybrid MPPT approach
Djamila Rekioua, N. Mezzai, Zahra Mokrani, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Predicting Soil Moisture Content Based on Laser-Induced Breakdown Spectroscopy-Informed Machine Learning
Y.S. Wudil, Mohammed A. Al‐Osta, M.A. Gondal, et al.
Arabian Journal for Science and Engineering (2024) Vol. 49, Iss. 7, pp. 10021-10034
Closed Access | Times Cited: 2
Unveiling the Black Box: A Unified XAI Framework for Signal-Based Deep Learning Models
Ardeshir Shojaeinasab, Masoud Jalayer, Amirali Baniasadi, et al.
Machines (2024) Vol. 12, Iss. 2, pp. 121-121
Open Access | Times Cited: 2
Sensitivity analysis and comparative assessment of novel hybridized boosting method for forecasting the power consumption
Jing Zhou, Qingdong Wang, Hamed Khajavi, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123631-123631
Closed Access | Times Cited: 2
A novel probabilistic approach for driving the sustainable energy circular economy: Innovating efficiency in renewable resource markets
Yingqiang Yang, Zhongmei Liu
Sustainable Cities and Society (2024) Vol. 108, pp. 105461-105461
Closed Access | Times Cited: 2
Cost prediction for water reuse equipment using interpretable machine learning models
Kan Chen, Yuezheng Zhang, Naixin Hu, et al.
Journal of Water Process Engineering (2024) Vol. 63, pp. 105474-105474
Closed Access | Times Cited: 2
A SHAP machine learning-based study of factors influencing urban residents' electricity consumption - evidence from chinese provincial data
Yuanping Wang, Lang Hu, Lingchun Hou, et al.
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 2
Hypertuned wavelet convolutional neural network with long short-term memory for time series forecasting in hydroelectric power plants
Stéfano Frizzo Stefenon, Laio Oriel Seman, Evandro Cardozo da Silva, et al.
Energy (2024), pp. 133918-133918
Closed Access | Times Cited: 2
Fracture toughness prediction using well logs and Extreme gradient Boosting based on particle swarm optimization in shale gas reservoir
Mbula Ngoy Nadege, Biao Shu, Allou Koffi Franck Kouassi, et al.
Engineering Fracture Mechanics (2024) Vol. 315, pp. 110759-110759
Closed Access | Times Cited: 2
A novel method for subgrade cumulative deformation prediction of high-speed railways based on empiricism-constrained neural network and SHapley Additive exPlanations analysis
Zhixing Deng, Linrong Xu, Qian Su, et al.
Transportation Geotechnics (2024) Vol. 49, pp. 101438-101438
Closed Access | Times Cited: 1
A comprehensive evaluation of machine learning and deep learning algorithms for wind speed and power prediction
Haytham H. Elmousalami, Hadi Hesham Elmesalami, Mina Maxi, et al.
Decision Analytics Journal (2024), pp. 100527-100527
Open Access | Times Cited: 1
Interpreting LASSO regression model by feature space matching analysis for spatio-temporal correlation based wind power forecasting
Yongning Zhao, Yuan Zhao, Haohan Liao, et al.
Applied Energy (2024) Vol. 380, pp. 124954-124954
Closed Access | Times Cited: 1
Additive-feature-attribution methods: A review on explainable artificial intelligence for fluid dynamics and heat transfer
A. Cremades, Sergio Hoyas, Ricardo Vinuesa
International Journal of Heat and Fluid Flow (2024) Vol. 112, pp. 109662-109662
Open Access | Times Cited: 1

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