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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:

Energy demand forecasting in China: A support vector regression-compositional data second exponential smoothing model
Congjun Rao, Yue Zhang, Jianghui Wen, et al.
Energy (2022) Vol. 263, pp. 125955-125955
Closed Access | Times Cited: 86

Showing 1-25 of 86 citing articles:

Fractional multivariate grey Bernoulli model combined with improved grey wolf algorithm: Application in short-term power load forecasting
Yin Chen, Shuhua Mao
Energy (2023) Vol. 269, pp. 126844-126844
Closed Access | Times Cited: 61
Risk assessment of cardiovascular disease based on SOLSSA-CatBoost model
Xi Wei, Congjun Rao, Xinping Xiao, et al.
Expert Systems with Applications (2023) Vol. 219, pp. 119648-119648
Closed Access | Times Cited: 48
Forecasting the carbon emissions in Hubei Province under the background of carbon neutrality: a novel STIRPAT extended model with ridge regression and scenario analysis
Congjun Rao, Qifan Huang, Lin Chen, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 20, pp. 57460-57480
Open Access | Times Cited: 39
Rice straw for energy and value-added products in China: a review
Ahmed Alengebawy, Ran Yi, Nirmal Ghimire, et al.
Environmental Chemistry Letters (2023) Vol. 21, Iss. 5, pp. 2729-2760
Open Access | Times Cited: 39
China's future energy vision: Multi-scenario simulation based on energy consumption structure under dual carbon targets
Hongtao Zhu, Shuang Cao, Zimeng Su, et al.
Energy (2024) Vol. 301, pp. 131751-131751
Closed Access | Times Cited: 26
Short-term power load forecasting using bidirectional gated recurrent units-based adaptive stacked autoencoder
Jizhe Dong, Yi-Wen Jiang, Peiguang Chen, et al.
International Journal of Electrical Power & Energy Systems (2025) Vol. 165, pp. 110459-110459
Closed Access | Times Cited: 1
Impact of the introduction of marketplace channel on e‐tailer's logistics service strategy
Lin Chen, Ting Dong, Guofang Nan, et al.
Managerial and Decision Economics (2023) Vol. 44, Iss. 5, pp. 2835-2855
Closed Access | Times Cited: 31
Modeling and forecasting electricity consumption amid the COVID-19 pandemic: Machine learning vs. nonlinear econometric time series models
Lanouar Charfeddine, Esmat Zaidan, Ahmad Qadeib Alban, et al.
Sustainable Cities and Society (2023) Vol. 98, pp. 104860-104860
Open Access | Times Cited: 25
Industrial carbon emission forecasting considering external factors based on linear and machine learning models
Ye Liang, Pei Du, Shubin Wang
Journal of Cleaner Production (2023) Vol. 434, pp. 140010-140010
Closed Access | Times Cited: 24
Joint optimization on green investment and contract design for sustainable supply chains with fairness concern
Lin Chen, Hui Shen, Qiurui Liu, et al.
Annals of Operations Research (2024)
Closed Access | Times Cited: 11
Enhancing Building Energy Efficiency with IoT-Driven Hybrid Deep Learning Models for Accurate Energy Consumption Prediction
Yuvaraj Natarajan, K. R. Sri Preethaa, Girish Wadhwa, et al.
Sustainability (2024) Vol. 16, Iss. 5, pp. 1925-1925
Open Access | Times Cited: 9
Innovative framework for accurate and transparent forecasting of energy consumption: A fusion of feature selection and interpretable machine learning
Hamidreza Eskandari, Hassan Saadatmand, Muhammad Ramzan, et al.
Applied Energy (2024) Vol. 366, pp. 123314-123314
Open Access | Times Cited: 9
Short-Term Load Forecasting Based on Optimized Random Forest and Optimal Feature Selection
Bianca Magalhães, Pedro Bento, José Pombo, et al.
Energies (2024) Vol. 17, Iss. 8, pp. 1926-1926
Open Access | Times Cited: 8
Risk assessment of customer churn in telco using FCLCNN-LSTM model
Cheng Wang, Congjun Rao, Fuyan Hu, et al.
Expert Systems with Applications (2024) Vol. 248, pp. 123352-123352
Closed Access | Times Cited: 7
The nexus of climate policy uncertainty, renewable energy and energy inequality under income disparities
Mehdi Emami Meybodi, Sakine Owjimehr
Energy Strategy Reviews (2024) Vol. 53, pp. 101381-101381
Open Access | Times Cited: 7
An online prediction and compensation method for robot position errors embedded with error-motion correlation
Teng Zhang, Hao Sun, Fangyu Peng, et al.
Measurement (2024) Vol. 234, pp. 114866-114866
Closed Access | Times Cited: 7
Forecasting Electricity Demand in Turkey Using Optimization and Machine Learning Algorithms
Mustafa Saglam, Catalina Spataru, Ömer Ali Karaman
Energies (2023) Vol. 16, Iss. 11, pp. 4499-4499
Open Access | Times Cited: 15
A large-scale group decision-making approach based on hesitancy degrees and non-cooperative behaviors with picture fuzzy information
Juan‐juan Peng, Xin Ge Chen
Applied Soft Computing (2024) Vol. 154, pp. 111360-111360
Closed Access | Times Cited: 6
Dynamic pricing strategies for efficient inventory management with auto-correlative stochastic demand forecasting using exponential smoothing method
Lalji Kumar, Kajal Sharma, Uttam Kumar Khedlekar
Results in Control and Optimization (2024) Vol. 15, pp. 100432-100432
Open Access | Times Cited: 6
Demand and fluctuation range of China's coal production under the dual carbon target
Ren Shi-hua, Xiaomiao Jiao, Dezhi Zheng, et al.
Energy Reports (2024) Vol. 11, pp. 3267-3282
Open Access | Times Cited: 5
Energy consumption forecasting for oil and coal in China based on hybrid deep learning
He Jiao, Yuhang Li, Xiaochuan Xu, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0313856-e0313856
Open Access
Forecasts and Analysis of Economic Outputs for Chinese High-Tech Industries: Insights from Spatial–Temporal Information Fusion
Song Ding, Yi Wang, Xingao Shen
Computational Economics (2025)
Closed Access
Deep Learning for Demand Forecasting: A Framework Incorporating Variational Mode Decomposition and Attention Mechanism
Chunrui Lei, Heng Zhang, Wang Zhi-gang, et al.
Processes (2025) Vol. 13, Iss. 2, pp. 594-594
Open Access
Chemical products yielded from different pyrolysis processes of rice waste residues: a comprehensive review
Saad A. El‐Sayed
Biomass Conversion and Biorefinery (2025)
Open Access
Predicting ground-level nitrogen dioxide concentrations using the BaYesian attention-based deep neural network
Angelo Casolaro, Vincenzo Capone, Francesco Camastra
Ecological Informatics (2025), pp. 103097-103097
Open Access
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