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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:

Review of failure risk and outage prediction in power system under wind hazards✰
Hui Hou, Zhiwei Zhang, Ruizeng Wei, et al.
Electric Power Systems Research (2022) Vol. 210, pp. 108098-108098
Closed Access | Times Cited: 23

Showing 23 citing articles:

Resilience enhancement of distribution network under typhoon disaster based on two-stage stochastic programming
Hui Hou, Junyi Tang, Zhiwei Zhang, et al.
Applied Energy (2023) Vol. 338, pp. 120892-120892
Closed Access | Times Cited: 32
Outage duration prediction under typhoon disaster with stacking ensemble learning
Hui Hou, Chao Liu, Ruizeng Wei, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109398-109398
Closed Access | Times Cited: 17
Machine learning for power outage prediction during hurricanes: An extensive review
Kehkashan Fatima, Hussain Shareef, Flávio B. Costa, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108056-108056
Closed Access | Times Cited: 7
Prediction Algorithm for Power Outage Areas of Affected Customers Based on CNN-LSTM
Weixiang Huang, Wei Zhang, Qianyi Chen, et al.
IEEE Access (2024) Vol. 12, pp. 15007-15015
Open Access | Times Cited: 5
Distribution network gray-start and emergency recovery strategy with pumped storage unit under a typhoon
Zhenguo Wang, Hui Hou, Chao Liu, et al.
Global Energy Interconnection (2025)
Open Access
Resilience assessment and improvement for electric power transmission systems against typhoon disasters: A data-model hybrid driven approach
Rui Yang, Yang Li
Energy Reports (2022) Vol. 8, pp. 10923-10936
Open Access | Times Cited: 24
Adaptive transformer-based multi-task learning framework for synchronous prediction of substation flooding and outage risks
Yu Shi, Ying Shi, Degui Yao, et al.
Electric Power Systems Research (2025) Vol. 242, pp. 111450-111450
Closed Access
Comprehensive technical risk indices and advanced methodologies for power system risk management
Elaheh Yaghoubi, Elnaz Yaghoubi, Mohammad Reza Maghami, et al.
Electric Power Systems Research (2025) Vol. 244, pp. 111534-111534
Open Access
Risk Assessment Method for Power Distribution Systems Based on Spatiotemporal Characteristics of the Typhoon Disaster Chain
Bin Chen, Nuoling Sun, Hao Chen, et al.
Processes (2025) Vol. 13, Iss. 3, pp. 699-699
Open Access
Dynamic Bayesian Network Model for Overhead Power Lines Affected by Hurricanes
Kehkashan Fatima, Hussain Shareef
Forecasting (2025) Vol. 7, Iss. 1, pp. 11-11
Open Access
A New Method for Constructing the Static-Voltage-Stability Boundary with a Conversion Strategy
Peng Shi, Yongcan Wang, Xi Wang, et al.
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3638-3638
Open Access
A parametric framework for evaluating power outage risk trends under changing climatic conditions
Stergios Emmanouil
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access
The role of machine learning in improving power distribution systems resilience
Khairul Eahsun Fahim, Kassim Kalinaki, Liyanage C. De Silva, et al.
Elsevier eBooks (2024), pp. 329-352
Closed Access | Times Cited: 3
Resiliency improvement in power distribution infrastructure employing distributed generation and switches-a review summary
Partha Kayal
Energy Ecology and Environment (2023) Vol. 8, Iss. 3, pp. 195-210
Closed Access | Times Cited: 7
Stochastic pre‐disaster planning and post‐disaster restoration to enhance distribution system resilience during typhoons
Hui Hou, Junyi Tang, Zhiwei Zhang, et al.
Energy Conversion and Economics (2023) Vol. 4, Iss. 5, pp. 346-363
Open Access | Times Cited: 6
A Risk-Based Framework for Power System Modeling to Improve Resilience to Extreme Events
Emily Barrett, Kaveri Mahapatra, Marcelo Elizondo, et al.
IEEE Open Access Journal of Power and Energy (2022) Vol. 10, pp. 25-35
Open Access | Times Cited: 10
Compounded wind gusts and maximum temperature via semiparametric copula in the risk assessments of power blackouts and air conditioning demands for major cities in Canada
Shahid Latif, Taha B. M. J. Ouarda
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
A hybrid spatiotemporal distribution forecast methodology for IES vulnerabilities under uncertain and imprecise space-air-ground monitoring data scenarios
Chenhao Sun, Wang Yaoding, Xiangjun Zeng, et al.
Applied Energy (2024) Vol. 373, pp. 123805-123805
Closed Access | Times Cited: 1
Compounded Wind Gusts and Maximum Temperature via Semiparametric copula joint density modelling in the risk assessments of power blackouts and air-conditioning demands for major cities in Canada
Shahid Latif, Taha B. M. J. Ouarda
Research Square (Research Square) (2024)
Open Access
A Hybrid Spatiotemporal Distribution Forecast Methodology for Ies Vulnerabilities Under Uncertain and Imprecise Space-Air-Ground Monitoring Data Scenarios
Chenhao Sun, Wang Yaoding, Xiangjun Zeng, et al.
(2024)
Closed Access
Variational data augmentation for a learning-based granular predictive model of power outages
Tianqiao Zhao, Meng Yue, Michael Jensen, et al.
Electric Power Systems Research (2024) Vol. 232, pp. 110299-110299
Closed Access
Distributionally robust risk-resistant synergistic restoration strategy for integrated electricity and gas system with high-fidelity gas dynamic modeling
Kunjie Liang, Hongtao Wang, Yutian Liu, et al.
Electric Power Systems Research (2024) Vol. 235, pp. 110882-110882
Closed Access
The Interplay of Fossil Fuels and Natural Disasters
Rachan Karmakar, Vijay Tripathi, Pradeep Kumar, et al.
(2024), pp. 91-106
Closed Access
Bearing Capacity of Transmission Poles under Combined Wind and Rain Excitations Based on the Deep Learning Method
Xing Fu, Xu Xu, Huijuan Liu, et al.
Buildings (2023) Vol. 13, Iss. 7, pp. 1717-1717
Open Access | Times Cited: 1
Comparativo de técnicas de aprendizado de máquinas para a previsão de faltas elétricas
Mateus Bravim da Silva, Gustavo Maia de Almeida, Marco Antônio Souza Leite Cuadros
Peer Review (2023) Vol. 5, Iss. 7, pp. 58-70
Open Access
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