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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:

The impact of COVID-19 pandemic on electricity consumption and electricity demand forecasting accuracy: Empirical evidence from the state of Qatar
Ammar Abulibdeh, Esmat Zaidan, Rateb Jabbar
Energy Strategy Reviews (2022) Vol. 44, pp. 100980-100980
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Feasibility analysis using MCDM techniques of hybrid energy systems powering healthcare facility on island
Avinash Gaurav, Arjun Tyagi, Shailendra K. Jha, et al.
Energy Conversion and Management (2025) Vol. 327, pp. 119549-119549
Closed Access | Times Cited: 2
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: 28
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: 26
Geospatial modelling of seasonal water and electricity consumption in Doha's residential buildings using multiscale geographically weighted regression (MGWR) and Bootstrap analysis
Rana N. Jawarneh, Ammar Abulibdeh
Sustainable Cities and Society (2024) Vol. 113, pp. 105654-105654
Open Access | Times Cited: 10
Efficiency in Building Energy Use: Pattern Discovery and Crisis Identification in Hot-Water Consumption data
Lina Morkūnaitė, Darius Pupeikis, Nikolaos Tsalikidis, et al.
Energy and Buildings (2025), pp. 115579-115579
Closed Access | Times Cited: 1
Machine learning for prediction of the uniaxial compressive strength within carbonate rocks
Mohamed Abdelhedi, Rateb Jabbar, Ahmed Ben Said, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 2, pp. 1473-1487
Closed Access | Times Cited: 20
Incorporating deep learning predictions to assess the water-energy-food nexus security
Alma Yunuen Raya-Tapia, Francisco Javier López-Flores, José María Ponce‐Ortega
Environmental Science & Policy (2023) Vol. 144, pp. 99-109
Closed Access | Times Cited: 19
Assessment of carbon footprint in Qatar's electricity sector: A comparative analysis across various building typologies
Ammar Abulibdeh, Rana N. Jawarneh, Talal Al‐Awadhi, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 189, pp. 114022-114022
Closed Access | Times Cited: 19
Assessment of the Impact of Anthropogenic Evolution and Natural Processes on Shoreline Dynamics Using Multi-Temporal Satellite Images and Statistical Analysis
P. Balakrishnan, Ammar Abulibdeh, Tahsin Abul Kasem Kabir
Water (2023) Vol. 15, Iss. 8, pp. 1440-1440
Open Access | Times Cited: 18
Evaluating the impact of the COVID-19 pandemic on the geospatial distribution of buildings' carbon footprints associated with electricity consumption
Esmat Zaidan, Ammar Abulibdeh, Rateb Jabbar, et al.
Energy Strategy Reviews (2024) Vol. 52, pp. 101350-101350
Open Access | Times Cited: 7
A transfer learning-based hybrid model with LightGBM for smart grid short-term energy load prediction
Sarita Simaiya, Mamta Dahiya, Shilpi Tomar, et al.
Energy Exploration & Exploitation (2024) Vol. 42, Iss. 5, pp. 1853-1876
Open Access | Times Cited: 6
Analysis of Qatar's electricity landscape: Insights from load profiling, clustering, and policy recommendations
Haya Monawwar, Khaled Abedrabboh, Omar Almarri, et al.
Energy Reports (2024) Vol. 12, pp. 259-276
Closed Access | Times Cited: 4
Assessing the spatial distribution and accessibility of public and private schools in Qatar: A GIS-based analysis
Ammar Abulibdeh, Maryam Al-Ali, Dhabya Al-Quraishi, et al.
GEOMATICA (2024) Vol. 76, Iss. 2, pp. 100015-100015
Open Access | Times Cited: 4
Unveiling the Nexus Between Land Use, Land Surface Temperature, and Carbon Footprint: A Multi-Scale Analysis of Building Energy Consumption in Arid Urban Areas
Ammar Abulibdeh, Saied Pirasteh, Davood Mafi-Gholami, et al.
Earth Systems and Environment (2024)
Open Access | Times Cited: 4
Adapting to Change and Transforming Crisis into Opportunity - Behavioral and Policy Shifts in Sustainable Practices Post-Pandemic
Esmat Zaidan, Logan Cochrane, Mohammad Belal
Heliyon (2025), pp. e42046-e42046
Open Access
Electricity Demand Forecasting Using Deep Polynomial Neural Networks and Gene Expression Programming During COVID-19 Pandemic
Çagatay Cebeci, Kasım Zor
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2843-2843
Open Access
Energy Subsidies, Consumption Patterns and Perceptions in Qatar: Comparative Analysis on Citizen and Non-Citizen Residential Energy Use
Esmat Zaidan, Logan Cochrane, Mohammad Al‐Saidi
Environmental Challenges (2025), pp. 101158-101158
Open Access
The electricity demand forecasting in the UK under the impact of the COVID-19 pandemic
Youliang Dong, Changshun Yan, Yong Shao
Electrical Engineering (2024) Vol. 106, Iss. 4, pp. 4487-4505
Closed Access | Times Cited: 2
Work-from-home, electricity, and water: Evidence from COVID-19 in Qatar
David Bernstein, Alecia Cassidy, Ahmed Khalifa
Energy Strategy Reviews (2023) Vol. 49, pp. 101119-101119
Open Access | Times Cited: 6
Robust-mv-M-LSTM-CI: Robust Energy Consumption Forecasting in Commercial Buildings during the COVID-19 Pandemic
Tan Ngoc Dinh, Gokul Sidarth Thirunavukkarasu, Mehdi Seyedmahmoudian, et al.
Sustainability (2024) Vol. 16, Iss. 15, pp. 6699-6699
Open Access | Times Cited: 1
Changes in hourly electricity consumption profiles and price elasticities in Denmark 2019-2022.
Frits Møller Andersen, Philipp Andreas Gunkel, Casper Bjerregaard, et al.
Energy (2024) Vol. 308, pp. 132798-132798
Open Access | Times Cited: 1
An Improved Hybrid Approach for Daily Electricity Peak Demand Forecasting during Disrupted Situations: A Case Study of COVID-19 Impact in Thailand
Lalitpat Aswanuwath, Warut Pannakkong, Jirachai Buddhakulsomsiri, et al.
Energies (2023) Vol. 17, Iss. 1, pp. 78-78
Open Access | Times Cited: 3
Exploration of Carbonate Aggregates in Road Construction using Ultrasonic and Artificial Intelligence Approaches
Mohamed Abdelhedi, Rateb Jabbar, Chedly Abbès
International conference on civil infrastructure and construction/Proceedings of the ... International conference on civil infrastructure and construction (2023), pp. 736-742
Open Access | Times Cited: 1
A Novel Proof of Concept Forecasting Model for Pandemics – A Case Study in New Zealand
Hamidreza Rasoulipanah, Abtin Ijadi Maghsoodi, Samaneh Madanian, et al.
IFIP advances in information and communication technology (2024), pp. 253-268
Closed Access
AI and Kernel Influences: The Impact of Kernel Optimization on Energy Consumption Forecasting
Muhammad Umair Danish
Research Square (Research Square) (2024)
Open Access
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