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:

Machine learning driven smart electric power systems: Current trends and new perspectives
Muhammad Sohail Ibrahim, Wei Dong, Qiang Yang
Applied Energy (2020) Vol. 272, pp. 115237-115237
Closed Access | Times Cited: 297

Showing 26-50 of 297 citing articles:

A systematic review of machine learning techniques related to local energy communities
Alejandro Hernandez-Matheus, Markus Löschenbrand, Kjersti Berg, et al.
Renewable and Sustainable Energy Reviews (2022) Vol. 170, pp. 112651-112651
Open Access | Times Cited: 56

Review on Interpretable Machine Learning in Smart Grid
Chongchong Xu, Zhicheng Liao, Chaojie Li, et al.
Energies (2022) Vol. 15, Iss. 12, pp. 4427-4427
Open Access | Times Cited: 53

Deep learning methods utilization in electric power systems
Saima Akhtar, Muhammad Adeel, Muhammad Iqbal, et al.
Energy Reports (2023) Vol. 10, pp. 2138-2151
Open Access | Times Cited: 31

Machine learning-based approach to predict thermal comfort in mixed-mode buildings: Incorporating adaptive behaviors
Shaoxing Zhang, Runming Yao, Jørn Toftum, et al.
Journal of Building Engineering (2024) Vol. 87, pp. 108877-108877
Closed Access | Times Cited: 12

Driving innovation in energy and telecommunications: next-generation energy storage and 5G technology for enhanced connectivity and energy solutions
Olubunmi Adeolu Adenekan, Chinedu Ezeigweneme, Excel G Chukwurah
International Journal of Management & Entrepreneurship Research (2024) Vol. 6, Iss. 5, pp. 1581-1597
Open Access | Times Cited: 8

Resiliency of forecasting methods in different application areas of smart grids: A review and future prospects
M. A. Rahman, Md. Rashidul Islam, Md. Alamgir Hossain, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108785-108785
Closed Access | Times Cited: 8

Impact of Artificial Intelligence on the Planning and Operation of Distributed Energy Systems in Smart Grids
Paúl Arévalo, Francisco Jurado
Energies (2024) Vol. 17, Iss. 17, pp. 4501-4501
Open Access | Times Cited: 7

Prediction of NOx emissions for coal-fired power plants with stacked-generalization ensemble method
Zhaowei Yuan, Lei Meng, Xiaobing Gu, et al.
Fuel (2020) Vol. 289, pp. 119748-119748
Closed Access | Times Cited: 59

A review of machine learning applications in IoT-integrated modern power systems
Matin Farhoumandi, Quan Zhou, Mohammad Shahidehpour
The Electricity Journal (2020) Vol. 34, Iss. 1, pp. 106879-106879
Closed Access | Times Cited: 57

Machine learning for power system protection and control
Hanyu Yang, Xubin Liu, Di Zhang, et al.
The Electricity Journal (2020) Vol. 34, Iss. 1, pp. 106881-106881
Closed Access | Times Cited: 49

Machine-Learning-Based Real-Time Economic Dispatch in Islanding Microgrids in a Cloud-Edge Computing Environment
Wei Dong, Qiang Yang, Wei Li, et al.
IEEE Internet of Things Journal (2021) Vol. 8, Iss. 17, pp. 13703-13711
Closed Access | Times Cited: 49

Exploring Targeted and Stealthy False Data Injection Attacks via Adversarial Machine Learning
Jiwei Tian, Buhong Wang, Jing Li, et al.
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 15, pp. 14116-14125
Closed Access | Times Cited: 32

A Survey of Preprocessing Methods Used for Analysis of Big Data Originated From Smart Grids
Turki Ali Alghamdi, Nadeem Javaid
IEEE Access (2022) Vol. 10, pp. 29149-29171
Open Access | Times Cited: 32

KNN APPROACHES BY USING BALL TREE SEARCHING ALGORITHM WITH MINKOWSKI DISTANCE FUNCTION ON SMART GRID DATA
Dr.Belwin J Brearley, Dr.K. Regin Bose, K. Senthil, et al.
Indian Journal of Computer Science and Engineering (2022) Vol. 13, Iss. 4, pp. 1210-1226
Open Access | Times Cited: 30

Artificial humming bird with data science enabled stability prediction model for smart grids
S Raghavendra, S. Neelakandan, M. Prakash, et al.
Sustainable Computing Informatics and Systems (2022) Vol. 36, pp. 100821-100821
Closed Access | Times Cited: 29

An AI-Assisted Smart Healthcare System Using 5G Communication
Buddhadeb Pradhan, Shiplu Das, Diptendu Sinha Roy, et al.
IEEE Access (2023) Vol. 11, pp. 108339-108355
Open Access | Times Cited: 20

An Edge-Fog-Cloud computing architecture for IoT and smart metering data
Simona‐Vasilica Oprea, Adela Bârã
Peer-to-Peer Networking and Applications (2023) Vol. 16, Iss. 2, pp. 818-845
Closed Access | Times Cited: 18

Optimized Seq2Seq model based on multiple methods for short-term power load forecasting
Yeming Dai, Xinyu Yang, Mingming Leng
Applied Soft Computing (2023) Vol. 142, pp. 110335-110335
Closed Access | Times Cited: 18

Study on the impact of smart energy on carbon emissions in smart cities from single and holistic perspectives – Empirical evidence from China
Jun Tang, Yueting Li
Sustainable Cities and Society (2023) Vol. 101, pp. 105145-105145
Closed Access | Times Cited: 18

Advancements, Challenges, and Recommendations for Resilient and Decarbonized Future Smart Grids
Peter Onu, Charles Mbohwa, Anup Pradhan
2021 International Conference on Electrical, Computer and Energy Technologies (ICECET) (2023), pp. 1-6
Closed Access | Times Cited: 18

A Review of Machine Learning Approaches in Synchrophasor Technology
M. Dhinu Lal, V. Ramesh
IEEE Access (2023) Vol. 11, pp. 33520-33541
Open Access | Times Cited: 17

Systematic Literature Review on Fuzzy Hybrid Methods in Photovoltaic Solar Energy: Opportunities, Challenges, and Guidance for Implementation
Nebiyu Siraj Kedir, Phuong H. D. Nguyen, Citlaly Pérez, et al.
Energies (2023) Vol. 16, Iss. 9, pp. 3795-3795
Open Access | Times Cited: 17

Role of the fourth industrial revolution in attaining universal energy access and net-zero objectives
Kingsley Ukoba, Rasaq Olawale Medupin, Kelvin O. Yoro, et al.
Energy 360. (2024) Vol. 1, pp. 100002-100002
Open Access | Times Cited: 7

AI Applications to Enhance Resilience in Power Systems and Microgrids—A Review
Younes Zahraoui, Tarmo Korõtko, Argo Rosin, et al.
Sustainability (2024) Vol. 16, Iss. 12, pp. 4959-4959
Open Access | Times Cited: 6

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