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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:

A Review on Machine Learning Models in Forecasting of Virtual Power Plant Uncertainties
Ahmet Doğan, Demet Cidem Dogan
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 3, pp. 2081-2103
Closed Access | Times Cited: 13

Showing 13 citing articles:

Control Systems for Low-Inertia Power Grids: A Survey on Virtual Power Plants
Daniel E. Ochoa, Felipe Galarza-Jimenez, Felipe Wilches‐Bernal, et al.
IEEE Access (2023) Vol. 11, pp. 20560-20581
Open Access | Times Cited: 23
A Comprehensive Survey on Higher Order Neural Networks and Evolutionary Optimization Learning Algorithms in Financial Time Series Forecasting
Sudersan Behera, Sarat Chandra Nayak, A. V. S. Pavan Kumar
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4401-4448
Closed Access | Times Cited: 18
Ultra-short-term distributed PV power forecasting for virtual power plant considering data-scarce scenarios
Yuqing Wang, Wenjie Fu, Junlong Wang, et al.
Applied Energy (2024) Vol. 373, pp. 123890-123890
Closed Access | Times Cited: 6
A Machine Learning Forecast of Renewable Solar Power Generation and Analysis of Distribution and Management Using IOT-Based Sensor Data
Mamta Sharma, Taviti Naidu Gongada, Rohit Anand, et al.
Lecture notes in networks and systems (2024), pp. 777-787
Closed Access | Times Cited: 5
Demand Forecasting and Allocation Optimization of Green Power Grid Supply Chain Based on Machine Learning Algorithm: A Study Based on the Whole-Process Data of Power Grid Materials
Hanyu Rao, Jiancheng Li, Xiaojun Sun
Sustainability (2025) Vol. 17, Iss. 3, pp. 1247-1247
Open Access
Real-Time Lithium Battery Aging Prediction Based on Capacity Estimation and Deep Learning Methods
Joaquín de la Vega, Jordi‐Roger Riba, J. A. Ortega
(2023)
Open Access | Times Cited: 3
Machine Learning-Based Error Correction Codes and Communication Protocols for Power Line Communication: An Overview
Tahir Çetin Akıncı, Gökhan Erdemir, Aydın Tarık Zengin, et al.
IEEE Access (2023) Vol. 11, pp. 124760-124781
Open Access | Times Cited: 2
Real-Time Lithium Battery Aging Prediction Based on Capacity Estimation and Deep Learning Methods
Joaquín de la Vega, Jordi‐Roger Riba, J. A. Ortega
Batteries (2023) Vol. 10, Iss. 1, pp. 10-10
Open Access | Times Cited: 2
Analyzing flexibility options for microgrid management from economical operational and environmental perspectives
Ahmet Doğan
International Journal of Electrical Power & Energy Systems (2024) Vol. 158, pp. 109914-109914
Open Access
A Stochastic Decision-Making Tool Suite for Distributed Energy Resources Integration in Energy Markets
Sergio Cantillo-Luna, Ricardo Moreno‐Chuquen, David Celeita, et al.
Energies (2024) Vol. 17, Iss. 10, pp. 2419-2419
Open Access
CPN meets learning: Online scheduling for inference service in Computing Power Network
Mingtao Ji, Ji Qi, Lei Jiao, et al.
Computer Networks (2024) Vol. 256, pp. 110903-110903
Closed Access
An Analysis of the Hyperbolic Bid Stacking Technique's Use in Modeling Power Prices
Y.D. Wan, Jianrong Qin, Y. Hu, et al.
(2023)
Closed Access
Virtual Power Plant Control Decision Method with Hierarchical Aggregation of Large-Scale Resources Based on Improved Wolf Pack Algorithm
Ruilin Ji, Kun Wang, Haozhe Jiang, et al.
(2023), pp. 225-230
Closed Access
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