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:

Conventional models and artificial intelligence-based models for energy consumption forecasting: A review
Nan Wei, Changjun Li, Xiaomei Peng, et al.
Journal of Petroleum Science and Engineering (2019) Vol. 181, pp. 106187-106187
Closed Access | Times Cited: 203

Showing 1-25 of 203 citing articles:

Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities
Tanveer Ahmad, Dongdong Zhang, Chao Huang, et al.
Journal of Cleaner Production (2021) Vol. 289, pp. 125834-125834
Open Access | Times Cited: 707

Forecasting: theory and practice
Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos, et al.
International Journal of Forecasting (2022) Vol. 38, Iss. 3, pp. 705-871
Open Access | Times Cited: 545

A review of the-state-of-the-art in data-driven approaches for building energy prediction
Ying Sun, Fariborz Haghighat, Benjamin C. M. Fung
Energy and Buildings (2020) Vol. 221, pp. 110022-110022
Closed Access | Times Cited: 378

Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature
Tan Yiğitcanlar, Kevin C. Desouza, Luke Butler, et al.
Energies (2020) Vol. 13, Iss. 6, pp. 1473-1473
Open Access | Times Cited: 374

A deep learning framework for building energy consumption forecast
Nivethitha Somu, M. R. Gauthama Raman, Krithi Ramamritham
Renewable and Sustainable Energy Reviews (2020) Vol. 137, pp. 110591-110591
Closed Access | Times Cited: 331

Short-term natural gas consumption prediction based on Volterra adaptive filter and improved whale optimization algorithm
Weibiao Qiao, Zhe Yang, Zhangyang Kang, et al.
Engineering Applications of Artificial Intelligence (2019) Vol. 87, pp. 103323-103323
Closed Access | Times Cited: 180

Artificial intelligence techniques for enabling Big Data services in distribution networks: A review
Sara Barja-Martinez, Mònica Aragüés‐Peñalba, Íngrid Munné‐Collado, et al.
Renewable and Sustainable Energy Reviews (2021) Vol. 150, pp. 111459-111459
Open Access | Times Cited: 114

Towards collective energy Community: Potential roles of microgrid and blockchain to go beyond P2P energy trading
Ying Wu, Yanpeng Wu, Halil Çimen, et al.
Applied Energy (2022) Vol. 314, pp. 119003-119003
Open Access | Times Cited: 107

Highly accurate energy consumption forecasting model based on parallel LSTM neural networks
Ning Jin, Fan Yang, Yuchang Mo, et al.
Advanced Engineering Informatics (2021) Vol. 51, pp. 101442-101442
Closed Access | Times Cited: 102

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

How technological innovation and institutional quality affect sectoral energy consumption in Pakistan? Fresh policy insights from novel econometric approach
Zheng Li, Kashif Raza Abbasi, Sultan Salem, et al.
Technological Forecasting and Social Change (2022) Vol. 183, pp. 121900-121900
Closed Access | Times Cited: 69

Short-Term Load Forecasting Models: A Review of Challenges, Progress, and the Road Ahead
Saima Akhtar, Sulman Shahzad, Asad Zaheer, et al.
Energies (2023) Vol. 16, Iss. 10, pp. 4060-4060
Open Access | Times Cited: 49

Pseudo-correlation problem and its solution for the transfer forecasting of short-term natural gas loads
Nan Wei, Lihua Yin, Chuang Yin, et al.
Gas Science and Engineering (2023) Vol. 119, pp. 205133-205133
Closed Access | Times Cited: 42

How does artificial intelligence affect high-quality energy development? Achieving a clean energy transition society
Bo Wang, Jianda Wang, Kangyin Dong, et al.
Energy Policy (2024) Vol. 186, pp. 114010-114010
Open Access | Times Cited: 35

REVIEWING THE ROLE OF ARTIFICIAL INTELLIGENCE IN ENERGY EFFICIENCY OPTIMIZATION
Tosin Michael Olatunde, Azubuike Chukwudi Okwandu, Dorcas Oluwajuwonlo Akande, et al.
Engineering Science & Technology Journal (2024) Vol. 5, Iss. 4, pp. 1243-1256
Open Access | Times Cited: 25

A combination model based on wavelet transform for predicting the difference between monthly natural gas production and consumption of U.S.
Weibiao Qiao, Wei Liu, Enbin Liu
Energy (2021) Vol. 235, pp. 121216-121216
Closed Access | Times Cited: 94

Natural gas consumption forecasting: A discussion on forecasting history and future challenges
Jinyuan Liu, Shouxi Wang, Nan Wei, et al.
Journal of Natural Gas Science and Engineering (2021) Vol. 90, pp. 103930-103930
Closed Access | Times Cited: 85

Long-Term Forecasting of Electrical Loads in Kuwait Using Prophet and Holt–Winters Models
Abdulla I. Almazrouee, Abdullah M. Almeshal, Abdulrahman Almutairi, et al.
Applied Sciences (2020) Vol. 10, Iss. 16, pp. 5627-5627
Open Access | Times Cited: 82

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

A comprehensive overview of framework for developing sustainable energy internet: From things-based energy network to services-based management system
Ying Wu, Yanpeng Wu, Josep M. Guerrero, et al.
Renewable and Sustainable Energy Reviews (2021) Vol. 150, pp. 111409-111409
Closed Access | Times Cited: 72

A novel method based on machine vision system and deep learning to detect fraud in turmeric powder
Ahmad Jahanbakhshi, Yousef Abbaspour‐Gilandeh, Kobra Heidarbeigi, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104728-104728
Closed Access | Times Cited: 71

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

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