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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:

Forecasting the energy output from a combined cycle thermal power plant using deep learning models
C. Ahamed Saleel
Case Studies in Thermal Engineering (2021) Vol. 28, pp. 101693-101693
Open Access | Times Cited: 20

Showing 20 citing articles:

AI-coherent data-driven forecasting model for a combined cycle power plant
Mir Sayed Shah Danish, Zahra Nazari, Tomonobu Senjyu
Energy Conversion and Management (2023) Vol. 286, pp. 117063-117063
Open Access | Times Cited: 17
Short term energy consumption forecasting using neural basis expansion analysis for interpretable time series
Abdul Khalique Shaikh, Amril Nazir, Imran Khan, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 24
Gas turbine heat rate prediction in combined cycle power plant using artificial neural network
Kanit Manatura, Nawaporn Rummith, Benjapon Chalermsinsuwan, et al.
Thermal Science and Engineering Progress (2025), pp. 103301-103301
Closed Access
Accurate Gas–Steam Combined Cycle Efficiency Prediction Based on Neural Network Model
Tao Wang, Cheng Ye, Hemin Hu, et al.
Symmetry (2025) Vol. 17, Iss. 3, pp. 318-318
Open Access
An evolutionary programming technique for evaluating the effect of ambient conditions on the power output of open cycle gas turbine plants - A case study of Afam GT13E2 gas turbine
Emmanuel N. Osegi, Z.O. Jagun, Cornelius C. Chujor, et al.
Applied Energy (2023) Vol. 349, pp. 121661-121661
Closed Access | Times Cited: 7
Exploring explainable ensemble machine learning methods for long-term performance prediction of industrial gas turbines: A comparative analysis
Seyyed Ahmad Naghibi
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109318-109318
Closed Access | Times Cited: 2
Electrical Energy Prediction of Combined Cycle Power Plant Using Gradient Boosted Generalized Additive Model
Nikhil Pachauri, Chang Wook Ahn
IEEE Access (2022) Vol. 10, pp. 24566-24577
Open Access | Times Cited: 11
Effect of peak sun hour on energy productivity of solar photovoltaic power system
Prisma Megantoro, Muhammad Akbar Syahbani, Irfan Helmi Sukmawan, et al.
Bulletin of Electrical Engineering and Informatics (2022) Vol. 11, Iss. 5, pp. 2442-2449
Open Access | Times Cited: 11
Deep Learning Algorithms to Predict Output Electrical Power of an Industrial Steam Turbine
Kossai Fakir, Chouaib Ennawaoui, M. El Mouden
Applied System Innovation (2022) Vol. 5, Iss. 6, pp. 123-123
Open Access | Times Cited: 11
Modelling and Output Power Estimation of a Combined Gas Plant and a Combined Cycle Plant Using an Artificial Neural Network Approach
Vasileios Xezonakis, Olusegun David Samuel, Christopher C. Enweremadu
Journal of Engineering (2024) Vol. 2024, pp. 1-19
Open Access | Times Cited: 1
Attention enhanced dual stream network with advanced feature selection for power forecasting
Taimoor Khan, Chang Jae Choi
Applied Energy (2024) Vol. 377, pp. 124564-124564
Closed Access | Times Cited: 1
A data-driven regression model for predicting thermal plant performance under load fluctuations
Gleb Prokhorskii, Souman Rudra, Markus Preißinger, et al.
Carbon Neutrality (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 1
CUSUM charts utilizing reparametrized Birnbaum-saunders model for fault detection and process control
Anam Iqbal, Tahir Mahmood
Measurement and Control (2024)
Open Access | Times Cited: 1
Forecasting Electricity Generated in A Rankine Power Station Running in Grid-connected Mode
Kossai Fakir, Jules Alexandre Haba, Chouaib Ennawaoui, et al.
International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 6, pp. 339-355
Open Access | Times Cited: 3
Physics-informed deep learning and linear programming for efficient optimization of combined cycle power plants
Mohammad Mehdi Hosseini, Saro Meguerdijian, Azarang Golmohammadi
Electric Power Systems Research (2024) Vol. 232, pp. 110441-110441
Closed Access
A review on real time implementation of soft computing techniques in thermal power plant
Love Kumar Thawait, Mukesh Kumar Singh
Network Computation in Neural Systems (2024), pp. 1-37
Closed Access
EWMA control charts to monitor energy output in combined cycle power plant: a new approach based on RBS profiling
Anam Iqbal, Tahir Mahmood
Communications in Statistics - Simulation and Computation (2024), pp. 1-19
Open Access
Enhancing Long-Term Performance Forecasting for Gas Turbines: An In-Depth Exploration of Ensemble Machine Learning Methods
Ahmad Naghibi
(2023)
Closed Access
Predviđanje proizvodnje termoelektrane pomoću neuralnih mreža
Sonja Knežević, Mileta Žarković
Energija Ekonomija Ekologija (2023) Vol. XXV, Iss. 4, pp. 38-41
Open Access
Self-optimizing neural network in the classification of real valued data
Alicja Miniak-Górecka, Krzysztof Podlaski, Tomasz M. Gwizdałła
PeerJ Computer Science (2022) Vol. 8, pp. e1020-e1020
Open Access
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