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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:

Prediction of the NOx and CO2 emissions from an experimental dual fuel engine using optimized random forest combined with feature engineering
Silvio Cesar de Lima Nogueira, Stephan Hennings Och, Luís Mauro Moura, et al.
Energy (2023) Vol. 280, pp. 128066-128066
Closed Access | Times Cited: 46

Showing 26-50 of 46 citing articles:

Numerical simulation of hydrogen co-firing distribution on combustion characteristics and NOx release in a 660 MW power plant boiler
Daining Wei, Zhichao Zhang, Yilin Wang, et al.
Energy (2024) Vol. 305, pp. 132336-132336
Closed Access | Times Cited: 3
Machine-learning-based ensemble regression for vehicle-to-vehicle distance estimation using a toe-in style stereo camera
Ozgur Duran, Bülent Turan, Mahır Kaya
Measurement (2024) Vol. 240, pp. 115540-115540
Closed Access | Times Cited: 3
Co-optimization and prediction of high-efficiency combustion and zero-carbon emission at part load in the hydrogen direct injection engine based on VVT, split injection and ANN
Zhendong Liang, Fangxi Xie, Qian Shu Li, et al.
Energy (2024) Vol. 308, pp. 133038-133038
Closed Access | Times Cited: 3
A high-precision and interpretable prediction method of the gas–solid erosion rate in elbows based on hybrid mechanism-data-driven models
Xiao Cen, Bingyuan Hong, Yuxiang Yang, et al.
Measurement (2025), pp. 117251-117251
Closed Access
Data-driven modeling for predicting the steady-state and transient performance of a dual-fuel medium-duty engine employing artificial neural networks
Antonio G. Garcı́a, Javier Monsalve‐Serrano, Javier Marco-Gimeno, et al.
Fuel (2025) Vol. 394, pp. 135150-135150
Closed Access
Comparative Analysis of Machine Learning Models for CO Emission Prediction in Engine Performance
Beytullah Eren, İdris Cesur
Sakarya University Journal of Computer and Information Sciences (2025) Vol. 8, Iss. 1, pp. 1-11
Open Access
Storage Efficiency Prediction for Feasibility Assessment of Underground CO2 Storage: Novel Machine Learning Approaches
Farshad Sadeghpour
Energy (2025), pp. 136040-136040
Closed Access
Study on Prediction Model of Nitrogen Oxide Concentration in Reprocessing Plant Based on Random Forest
Xu Wei, Yan Xu, Xiaomeng Li, et al.
International Journal of Advanced Nuclear Reactor Design and Technology (2025)
Open Access
A combination prediction model based on Theil coefficient and induced continuous aggregation operator for the prediction of Shanghai composite index
Yixiang Wang, Zhicheng Hu, Kai Zhang, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123671-123671
Closed Access | Times Cited: 3
Prediction of CO 2 emission for the central European countries through five metaheuristic optimization techniques helping multilayer perceptron
Hossein Moayedi, Azfarizal Mukhtar, Serhan Alshammari, et al.
Engineering Applications of Computational Fluid Mechanics (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 3
Fast and accurate gas turbine emission prediction based on a light and enhanced Transformer model
Jiangjiao Li, Jin Han, Dapeng Niu, et al.
Fuel (2024) Vol. 376, pp. 132750-132750
Closed Access | Times Cited: 2
Data-driven machine learning model of a Selective Catalytic Reduction on Filter (SCRF) in a heavy-duty diesel engine: A comparison of Artificial Neural Network with Tree-based algorithms
Samuel Adeola Okeleye, Arvind Thiruvengadam, Mario Perhinschi, et al.
Energy (2023) Vol. 290, pp. 130117-130117
Closed Access | Times Cited: 5
Preparation of Nanoparticle-Enriched Fuels and Prediction of Cylinder Pressure Through Machine Learning Models
Kürşat Mustafa Karaoğlan, Mehmet Çeli̇k
Arabian Journal for Science and Engineering (2024)
Closed Access | Times Cited: 1
Multi-response optimization in the ORC-VCR system using the EDAS method
Deepak Tiwari, Vinayak Soni
Energy and Buildings (2024) Vol. 313, pp. 114281-114281
Closed Access | Times Cited: 1
The effect of biogas and dimethyl ether on the thermal characteristics of a dual‐fuel diesel engine: A numerical study
Mohamed F. Al‐Dawody, Mariam Imtiaz, Nek Muhammad Katbar, et al.
Biofuels Bioproducts and Biorefining (2023) Vol. 18, Iss. 1, pp. 125-138
Closed Access | Times Cited: 3
Energy efficiency in cooling systems: integrating machine learning and meta-heuristic algorithms for precise cooling load prediction
Kunming Xu
Chemical Product and Process Modeling (2024) Vol. 19, Iss. 4, pp. 573-603
Closed Access
Classification of electroencephalograms before or after applying transcutaneous electrical nerve stimulation therapy using fractional empirical mode decomposition
Jiaqi Liu, Bingo Wing‐Kuen Ling, Zhaoheng Zhou, et al.
Multimedia Tools and Applications (2024)
Closed Access
A semi-empirical model for online real-time control of NOX generation in diesel engines
Xuejian Ma, Tao Qiu, Yan Lei, et al.
International Journal of Engine Research (2024)
Closed Access
Anchorage of ZnO quantum dots and CuO on graphene for sonophotocatalytic treatment of pharmaceutical effluent: From experimental data and prediction by advanced machine learning algorithms
Atena Akbari Kohnehsari, Azadeh Ebrahimian Pirbazari, Fatemeh Esmaeili Khalil Saraei, et al.
Colloids and Surfaces A Physicochemical and Engineering Aspects (2024) Vol. 705, pp. 135724-135724
Closed Access
Application of Machine Learning to Predict CO2 Emissions in Light-Duty Vehicles
Jeffrey Udoh, Joan Lu, Qiang Xu
Sensors (2024) Vol. 24, Iss. 24, pp. 8219-8219
Open Access
A Physically-Constrained Ensemble Learning Rate of Penetration Prediction Model based on Multi-Source Data Fusion
Yongdong Fan, Jin Yan, Huiwen Pang, et al.
Applied Intelligence (2024) Vol. 55, Iss. 3
Closed Access
Comparative analysis of regression models to predict the performance of the dual fuel engine operating on diesel and hydrogen gas
S. Priya, C. Feenita, Uday Goel, et al.
International Journal of Hydrogen Energy (2024)
Closed Access
Steel surface roughness parameter prediction from laser reflection data using machine learning models
Alex Milne, Xianghua Xie
The International Journal of Advanced Manufacturing Technology (2024) Vol. 132, Iss. 9-10, pp. 4645-4662
Open Access
A Comparative Analysis of Advanced Machine Learning Models for the Prediction of Combustion, Emission and Performance Characteristics Using Endoscopic Combustion Flame Image of a Pine Oil–Gasoline Fuelled Spark Ignition Engine
D. Jesu Godwin, Edwin Geo Varuvel, Leenus Jesu Martin, et al.
Journal of Cleaner Production (2024), pp. 144284-144284
Closed Access
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