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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:

A novel XGBoost-based featurization approach to forecast renewable energy consumption with deep learning models
Hossein Abbasimehr, Reza Paki, Aram Bahrini
Sustainable Computing Informatics and Systems (2023) Vol. 38, pp. 100863-100863
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

The impact of synergistic development of renewable energy and digital economy on energy intensity: Evidence from 33 countries
Jianling Jiao, Jiangfeng Song, Tao Ding
Energy (2024) Vol. 295, pp. 130997-130997
Closed Access | Times Cited: 28
Low-Carbon Advancement through Cleaner Production: A Machine Learning Approach for Enhanced Hydrogen Storage Predictions in Coal Seams
Yongjun Wang, Hung Vo Thanh, Hemeng Zhang, et al.
Renewable Energy (2025), pp. 122342-122342
Closed Access | Times Cited: 1
Localized global models using autoencoder-based clustering to forecast related time series
Hossein Abbasimehr, Ali Noshad
International Journal of Data Science and Analytics (2025)
Closed Access | Times Cited: 1
Application of Data-Driven technology in nuclear Engineering: Prediction, classification and design optimization
Hong Qiao, Jun Ma, Bo Wang, et al.
Annals of Nuclear Energy (2023) Vol. 194, pp. 110089-110089
Closed Access | Times Cited: 21
Toward artificial intelligence and machine learning-enabled frameworks for improved predictions of lifecycle environmental impacts of functional materials and devices
Taofeeq Ibn‐Mohammed, K.B. Mustapha, M. Abdulkareem, et al.
MRS Communications (2023) Vol. 13, Iss. 5, pp. 795-811
Open Access | Times Cited: 16
XGBoost algorithm assisted multi-component quantitative analysis with Raman spectroscopy
Qiaoyun Wang, Xin Zou, Yinji Chen, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 323, pp. 124917-124917
Closed Access | Times Cited: 6
Time series forecasting of microalgae cultivation for a sustainable wastewater treatment
K. Sundaram, Deepak Kumar, Jintae Lee, et al.
Process Safety and Environmental Protection (2025), pp. 106845-106845
Closed Access
LTPNet Integration of Deep Learning and Environmental Decision Support Systems for Renewable Energy Demand Forecasting
Te Li, Min Zheng, Yan Zhou
Journal of Organizational and End User Computing (2025) Vol. 37, Iss. 1, pp. 1-29
Open Access
Big time series data forecasting based on deep autoencoding and clustering
Hossein Abbasimehr, Ali Noshad
Cluster Computing (2025) Vol. 28, Iss. 4
Closed Access
Machine learning application in building energy consumption prediction: A comprehensive review
Jingsong Ji, Hao Yu, Xudong Wang, et al.
Journal of Building Engineering (2025), pp. 112295-112295
Closed Access
Localized Global Time Series Forecasting Models Using Evolutionary Neighbor‐Aided Deep Clustering Method
Hossein Abbasimehr, Ali Noshad
Journal of Forecasting (2025)
Closed Access
A multi-stage multivariable offshore wind speed assessment system incorporating statistical analysis, decomposition, feature selection, bias correction, and attention-based hybrid prediction
Jingjing Cai, Cheng Peng, Li Xu, et al.
Wind Engineering (2025)
Closed Access
A novel hybrid model to forecast seasonal and chaotic time series
Hossein Abbasimehr, Amirreza Behboodi, Aram Bahrini
Expert Systems with Applications (2023) Vol. 239, pp. 122461-122461
Closed Access | Times Cited: 11
Component modeling and updating method of integrated energy systems based on knowledge distillation
Xueru Lin, Wei Zhong, Xiaojie Lin, et al.
Energy and AI (2024) Vol. 16, pp. 100350-100350
Open Access | Times Cited: 3
Using fear, greed and machine learning for optimizing global portfolios: A Black-Litterman approach
Ronil Barua, Anil K. Sharma
Finance research letters (2023) Vol. 58, pp. 104515-104515
Closed Access | Times Cited: 8
A framework for real-time vehicle counting and velocity estimation using deep learning
Wei‐Chun Chen, Ming-Jay Deng, Ping‐Yu Liu, et al.
Sustainable Computing Informatics and Systems (2023) Vol. 40, pp. 100927-100927
Closed Access | Times Cited: 7
A comparison between machine and deep learning models on high stationarity data
Domenico Santoro, Tiziana Ciano, Массимилиано Феррара
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Medium-term feeder load forecasting and boosting peak accuracy prediction using the PWP-XGBoost model
Ansu Mathew, Rufaidah Chikte, Sajan K. Sadanandan, et al.
Electric Power Systems Research (2024) Vol. 237, pp. 111051-111051
Closed Access | Times Cited: 2
A novel featurization methodology using JaGen algorithm for time series forecasting with deep learning techniques
Hossein Abbasimehr, Ali Noshad, Reza Paki
Expert Systems with Applications (2023) Vol. 235, pp. 121279-121279
Closed Access | Times Cited: 6
Prediction and Feed-In Tariffs of Municipal Solid Waste Generation in Beijing: Based on a GRA-BiLSTM Model
Xia Zhang, Bingchun Liu
Sustainability (2024) Vol. 16, Iss. 9, pp. 3579-3579
Open Access | Times Cited: 1
XGBoost with Q-learning for complex data processing in business logistics management
Jianlan Zhong, Xuelong Hu, Omar Alghamdi, et al.
Information Processing & Management (2023) Vol. 60, Iss. 5, pp. 103466-103466
Closed Access | Times Cited: 4
Comprehensive Investigation of Operating Parameters for Enhanced CO2 Capture Using CaO Sorbent and Machine Learning
Lei Wang, Hongwei Li, Changhe Du, et al.
Energy & Fuels (2023) Vol. 37, Iss. 20, pp. 15907-15918
Closed Access | Times Cited: 4
Machine Learning Forecasting Model for Solar Energy Radiation
Blessing Olatunde Abisoye, Yanxia Sun, Zenghui Wang
International Journal of Computer Theory and Engineering (2024) Vol. 16, Iss. 2, pp. 66-75
Open Access | Times Cited: 1
AMTCN: An Attention-Based Multivariate Temporal Convolutional Network for Electricity Consumption Prediction
Wei Zhang, Jiaxuan Liu, Wendi Deng, et al.
Electronics (2024) Vol. 13, Iss. 20, pp. 4080-4080
Open Access | Times Cited: 1
A Scenario-Customizable and Visual-Rendering Simulator for On-Vehicle Vibration Energy Harvesting
Fangcheng Guo, Jingjin Li, Chung Ket Thein, et al.
(2024)
Closed Access
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