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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:

Forecasting energy demand in China and India: Using single-linear, hybrid-linear, and non-linear time series forecast techniques
Qiang Wang, Shuyu Li, Rongrong Li
Energy (2018) Vol. 161, pp. 821-831
Closed Access | Times Cited: 173

Showing 1-25 of 173 citing articles:

Toward to economic growth without emission growth: The role of urbanization and industrialization in China and India
Qiang Wang, Min Su, Rongrong Li
Journal of Cleaner Production (2018) Vol. 205, pp. 499-511
Closed Access | Times Cited: 229
Machine learning and statistical models for predicting indoor air quality
Wenjuan Wei, Olivier Ramalho, Laeticia Malingre, et al.
Indoor Air (2019) Vol. 29, Iss. 5, pp. 704-726
Open Access | Times Cited: 176
The Effect of Green Finance on Energy Sustainable Development: A Case Study in China
Bufan Zhang, Yifeng Wang
Emerging Markets Finance and Trade (2019) Vol. 57, Iss. 12, pp. 3435-3454
Closed Access | Times Cited: 160
A comparative assessment of SARIMA, LSTM RNN and Fb Prophet models to forecast total and peak monthly energy demand for India
Shobhit Chaturvedi, E. Rajasekar, Sukumar Natarajan, et al.
Energy Policy (2022) Vol. 168, pp. 113097-113097
Closed Access | Times Cited: 100
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: 87
Multi-scale solar radiation and photovoltaic power forecasting with machine learning algorithms in urban environment: A state-of-the-art review
Jia Tian, Ryozo Ooka, Doyun Lee
Journal of Cleaner Production (2023) Vol. 426, pp. 139040-139040
Closed Access | Times Cited: 44
Hydrogen is essential for sustainability
Alireza Saeedmanesh, Michael A. Mac Kinnon, Jack Brouwer
Current Opinion in Electrochemistry (2018) Vol. 12, pp. 166-181
Open Access | Times Cited: 147
A hybrid hourly natural gas demand forecasting method based on the integration of wavelet transform and enhanced Deep-RNN model
Huai Su, Enrico Zio, Jinjun Zhang, et al.
Energy (2019) Vol. 178, pp. 585-597
Open Access | Times Cited: 120
Modeling carbon emission trajectory of China, US and India
Qiang Wang, Shuyu Li, Zhanna Pisarenko
Journal of Cleaner Production (2020) Vol. 258, pp. 120723-120723
Closed Access | Times Cited: 115
Is decoupling economic growth from fuel consumption possible in developing countries? – A comparison of China and India
Qiang Wang, Rui Jiang, Lina Zhan
Journal of Cleaner Production (2019) Vol. 229, pp. 806-817
Closed Access | Times Cited: 111
A novel hybridization of nonlinear grey model and linear ARIMA residual correction for forecasting U.S. shale oil production
Qiang Wang, Xiaoxing Song, Rongrong Li
Energy (2018) Vol. 165, pp. 1320-1331
Closed Access | Times Cited: 100
Short-term load forecasting of urban gas using a hybrid model based on improved fruit fly optimization algorithm and support vector machine
Hongfang Lü, Mohammadamin Azimi, Tom Iseley
Energy Reports (2019) Vol. 5, pp. 666-677
Open Access | Times Cited: 99
A review on carbon emission reduction in industries and planning emission limits
Rakesh Kumar Sinha, Nitin Dutt Chaturvedi
Renewable and Sustainable Energy Reviews (2019) Vol. 114, pp. 109304-109304
Closed Access | Times Cited: 99
Uncovering the impact of the COVID-19 pandemic on energy consumption: New insight from difference between pandemic-free scenario and actual electricity consumption in China
Qiang Wang, Shuyu Li, Feng Jiang
Journal of Cleaner Production (2021) Vol. 313, pp. 127897-127897
Open Access | Times Cited: 94
China's dependency on foreign oil will exceed 80% by 2030: Developing a novel NMGM-ARIMA to forecast China's foreign oil dependence from two dimensions
Qiang Wang, Shuyu Li, Rongrong Li
Energy (2018) Vol. 163, pp. 151-167
Closed Access | Times Cited: 88
Industry 4.0 and demand forecasting of the energy supply chain: A literature review
Ali Roozbeh Nia, Anjali Awasthi, Nadia Bhuiyan
Computers & Industrial Engineering (2021) Vol. 154, pp. 107128-107128
Closed Access | Times Cited: 75
Impact of COVID-19 pandemic on oil consumption in the United States: A new estimation approach
Qiang Wang, Shuyu Li, Min Zhang, et al.
Energy (2021) Vol. 239, pp. 122280-122280
Open Access | Times Cited: 67
Artificial Intelligence for Electricity Supply Chain automation
Lucas Richter, Malte Lehna, Sophie Marchand, et al.
Renewable and Sustainable Energy Reviews (2022) Vol. 163, pp. 112459-112459
Open Access | Times Cited: 55
Short-Term Electricity Prices Forecasting Using Functional Time Series Analysis
Faheem Jan, Ismail Shah, Sajid Ali
Energies (2022) Vol. 15, Iss. 9, pp. 3423-3423
Open Access | Times Cited: 52
Research on the Prediction Method of Monthly Hidden Danger Quantity in Coal Mine Based on BP Neural Network Periodic Combination Model
Jing Li, Ruixin Zhang, Zequan Li, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 48
Comparing forecasting accuracy of selected grey and time series models based on energy consumption in Brazil and India
Atif Maqbool Khan, Magdalena Osińska
Expert Systems with Applications (2022) Vol. 212, pp. 118840-118840
Open Access | Times Cited: 46
Modeling and Forecasting Electricity Demand and Prices: A Comparison of Alternative Approaches
Ismail Shah, Hasnain Iftikhar, Sajid Ali
Journal of Mathematics (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 44
Energy Consumption Forecasting in Korea Using Machine Learning Algorithms
Sun-Youn Shin, Han-Gyun Woo
Energies (2022) Vol. 15, Iss. 13, pp. 4880-4880
Open Access | Times Cited: 43
Energy demand forecasting in seven sectors by an optimization model based on machine learning algorithms
Majid Emami Javanmard, S.F. Ghaderi
Sustainable Cities and Society (2023) Vol. 95, pp. 104623-104623
Closed Access | Times Cited: 32
Analysis of the spatio-temporal changes and driving factors of the marine economic–ecological–social coupling coordination: A case study of 11 coastal regions in China
Jingwei Cheng, Xuechang Zhang, Qiang Gao
Ecological Indicators (2023) Vol. 153, pp. 110392-110392
Open Access | Times Cited: 23
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