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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:

Genetic Algorithm Approach to Design of Multi-Layer Perceptron for Combined Cycle Power Plant Electrical Power Output Estimation
Ivan Lorencin, Nikola Anđelić, Vedran Mrzljak, et al.
Energies (2019) Vol. 12, Iss. 22, pp. 4352-4352
Open Access | Times Cited: 100

Showing 51-75 of 100 citing articles:

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
AI Overview: Methods and Structures
Erik Dahlquist, Moksadur Rahman, Jan Škvařil, et al.
IntechOpen eBooks (2021)
Open Access | Times Cited: 4
Predictive intelligence and adaptive control strategies for ensuring safety in Island microgrids during load and power disturbances
Jiyang Zhang, Meng Zhang, Jie Yang, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109644-109644
Closed Access
A Comprehensive Review on Applications of Grey Wolf Optimizer in Energy Systems
Mohammad Nasir, Ali Sadollah, Seyedali Mirjalili, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access
Thermodynamic Analysis and Improvement Potential of Helium Closed Cycle Gas Turbine Power Plant at Four Loads
Vedran Mrzljak, Igor Poljak, Maro Jelić, et al.
Energies (2023) Vol. 16, Iss. 15, pp. 5589-5589
Open Access | Times Cited: 1
Three Approaches to Low-Duty Turbo Compressor Efficiency Exploitation Evaluation
Igor Poljak, Ivica Glavan, Josip Orović, et al.
Applied Sciences (2020) Vol. 10, Iss. 10, pp. 3373-3373
Open Access | Times Cited: 3
Exergy analysis of marine waste heat recovery CO2 closed-cycle gas turbine system.
Vedran Mrzljak, Igor Poljak, Jasna Prpić-Oršić, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 3
Quality Assessment Assistance of Lateral Knee X-rays: A Hybrid Convolutional Neural Network Approach
S. Lysdahlgaard, Sandi Baressi Šegota, Søren Hess, et al.
Mathematics (2023) Vol. 11, Iss. 10, pp. 2392-2392
Open Access | Times Cited: 1
Thermodynamic Analysis and Comparison of Two Marine Steam Propulsion Turbines
Igor Poljak, Vedran Mrzljak
Naše more (2023) Vol. 70, Iss. 2, pp. 88-102
Open Access | Times Cited: 1
An Interpretable Catboost Model to Predict the Power of Combined Cycle Power Plants
Rafat Ashraf Joy
(2021), pp. 435-439
Closed Access | Times Cited: 3
Integration of a cryogenic ASU within an IGCC process with simultaneous optimization and energy targeting
Keat Ping Yeoh, Chi Wai Hui
Computers & Chemical Engineering (2022) Vol. 167, pp. 108020-108020
Closed Access | Times Cited: 2
Use of Artificial Neural Network for Estimation of Propeller Torque Values in a CODLAG Propulsion System
Sandi Baressi Šegota, Daniel Štifanić, Kazuhiro Ohkura, et al.
Journal of Maritime & Transportation Science (2020) Vol. 58, Iss. 1, pp. 25-38
Open Access | Times Cited: 2
Comparison of Power Distribution, Losses and Efficiencies of a Steam Turbine with and without Extractions
Vedran Mrzljak, Sandi Baressi Šegota, Hrvoje Meštrić, et al.
Tehnički glasnik (2020) Vol. 14, Iss. 4, pp. 480-487
Open Access | Times Cited: 1
Energy and exergy evaluation of co2 closed-cycle gas turbine
Ivan Lorencin, Daniel Štifanić, Jelena Musulin, et al.
(2020) Vol. 5, Iss. 4, pp. 123
Closed Access | Times Cited: 1
Comparison of Exergy and Various Energy Analysis Methods for a Main Marine Steam Turbine at Different Loads
Nikola Anđelić, Vedran Mrzljak, Ivan Lorencin, et al.
Journal of Maritime & Transportation Science (2020) Vol. 59, Iss. 1, pp. 9-34
Closed Access | Times Cited: 1
Energy and exergy analysis of deaerator from combined-cycle power plant
Vedran Mrzljak, Jasna Prpić-Oršić, Jelena Musulin, et al.
(2020) Vol. 5, Iss. 2, pp. 64-67
Closed Access | Times Cited: 1
Comparison of Exergy and Various Energy Analysis Methods for a Main Marine Steam Turbine at Different Loads
Nikola Anđelić, Vedran Mrzljak, Ivan Lorencin, et al.
Journal of Maritime & Transportation Science (2020) Vol. 59, Iss. 1, pp. 9-34
Open Access | Times Cited: 1
Artificial neural network for predicting values of residuary resistance per unit weight of displacement
Sandi Baressi Šegota, Nikola Anđelić, Jan Kudláček, et al.
Journal of Maritime & Transportation Science (2019) Vol. 57, Iss. 1, pp. 9-22
Open Access | Times Cited: 1
Analysis of Gas Turbine Operation before and after Major Maintenance
Vedran Mrzljak, Nikola Anđelić, Ivan Lorencin, et al.
Journal of Maritime & Transportation Science (2019) Vol. 57, Iss. 1, pp. 57-70
Open Access | Times Cited: 1
Applying Regressive Machine Learning Techniques in Determination of COVID-19 Vaccinated Patients’ Influence on the Number of Confirmed and Deceased Patients
Sandi Baressi Šegota, Ivan Lorencin, Nikola Anđelić, et al.
Mathematics (2022) Vol. 10, Iss. 16, pp. 2925-2925
Open Access | Times Cited: 1
Intelligent Automation System for Vessels Recognition: Comparison of SIFT and SURF Methods
Jelena Musulin, Ivan Lorencin, Hrvoje Meštrić, et al.
Tehnicki vjesnik - Technical Gazette (2021) Vol. 28, Iss. 4
Open Access | Times Cited: 1
Research of the two-circuit combined-cycle cogeneration plant’s behavior according to the temperature chart
D. A. Treshchev, Milana Treshcheva, Daria Kolbantseva, et al.
Power engineering research equipment technology (2021) Vol. 23, Iss. 4, pp. 27-42
Open Access | Times Cited: 1
A deep learning approach to predict and optimise energy in fish processing industries
Ali Ghoroghi, Ioan Petri, Yacine Rezgui, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 186, pp. 113653-113653
Open Access
Enhancing Long-Term Performance Forecasting for Gas Turbines: An In-Depth Exploration of Ensemble Machine Learning Methods
Ahmad Naghibi
(2023)
Closed Access
Exergoeconomic study of reheat combined cycle configurations using steam and ammonia-water mixture for bottoming cycle parameters
Mayank Maheshwari, O.P. Singh
Journal of Thermal Engineering (2023) Vol. 9, Iss. 5, pp. 1272-1290
Open Access

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