Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

An evaluation of the impact of COVID-19 lockdowns on electricity demand
Jinran Wu, Noa L. Levi, Robyn P. Araujo, et al.
Electric Power Systems Research (2022) Vol. 216, pp. 109015-109015
Open Access | Times Cited: 13

Showing 13 citing articles:

A hybrid deep learning framework for air quality prediction with spatial autocorrelation during the COVID-19 pandemic
Zixi Zhao, Jinran Wu, Fengjing Cai, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 37
Forecasting oil, coal, and natural gas prices in the pre-and post-COVID scenarios: Contextual evidence from India using time series forecasting tools
Md Shabbir Alam, Muntasir Murshed, Palanisamy Manigandan, et al.
Resources Policy (2023) Vol. 81, pp. 103342-103342
Open Access | Times Cited: 35
Energy sustainability under the COVID-19 outbreak: Electricity break-off policy to minimize electricity market crises
Chien‐Chiang Lee, Jafar Hussain
Energy Economics (2023) Vol. 125, pp. 106870-106870
Closed Access | Times Cited: 24
A novel deep learning framework with a COVID-19 adjustment for electricity demand forecasting
Zhesen Cui, Jinran Wu, Wei Lian, et al.
Energy Reports (2023) Vol. 9, pp. 1887-1895
Open Access | Times Cited: 18
A hybrid Autoformer framework for electricity demand forecasting
Ziqian Wang, Zhihao Chen, Yang Yang, et al.
Energy Reports (2023) Vol. 9, pp. 3800-3812
Open Access | Times Cited: 14
Hybridization of long short-term memory neural network in fractional time series modeling of inflation
Erman Arif, Elin Herlinawati, Dodi Devianto, et al.
Frontiers in Big Data (2024) Vol. 6
Open Access | Times Cited: 2
Exploring the impacts of major events on the systemic risk of the international energy market
Ming-Tao Zhao, Suwan Lu, Lianbiao Cui
Petroleum Science (2023) Vol. 21, Iss. 2, pp. 1444-1457
Open Access | Times Cited: 4
Application of hybrid fuzzy interval-based machine learning models on financial time series — A case study of Taiwan biotech index during the epidemic period
Hsio-Yi Lin, Bin-Wei Hsu
Frontiers in Artificial Intelligence (2024) Vol. 6
Open Access | Times Cited: 1
Predicting Energy Demand Using Machine Learning: Exploring Temporal and Weather-Related Patterns, Variations, and Impacts
B. Sahin, Kingsley Udeh, David W. Wanik, et al.
IEEE Access (2024) Vol. 12, pp. 31824-31840
Open Access
Bolivia’s domestic electricity cost supporting scheme during COVID-19: Changes in electricity consumption and household welfare
Ricardo Nogales, Andrea Alcaraz, David López, et al.
Energy Sources Part B Economics Planning and Policy (2024) Vol. 19, Iss. 1
Closed Access
Development of a triplex endpoint PCR assay for the detection of SARS-CoV-2: insights on cost-efficiency and method design
Camelia Vintilă, Răzvan Lucian Coşeriu, Anca Delia Mare, et al.
Microbial Physiology (2024) Vol. 34, Iss. 1, pp. 264-278
Open Access
Spatial-Temporal Correlation Neural Network for Long Short-Term Demand Forecasting During COVID-19
Xiaochuan Guo, Wenbo Xie, Xin Li
IEEE Access (2023) Vol. 11, pp. 75573-75586
Open Access | Times Cited: 1
The impact of rooftop solar on wholesale electricity demand in the Australian National Electricity Market
Yan Guan, Lin Han
Frontiers in Energy Research (2023) Vol. 11
Open Access
Page 1

Scroll to top