Engineering Applications of Computational Fluid Mechanics

Papers
(The H4-Index of Engineering Applications of Computational Fluid Mechanics is 19. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Seismic performance analysis of a wind turbine with a monopile foundation affected by sea ice based on a simple numerical method55
Forecast of rainfall distribution based on fixed sliding window long short-term memory51
Modeling the fluctuations of groundwater level by employing ensemble deep learning techniques43
Deep learning versus gradient boosting machine for pan evaporation prediction40
Groundwater level prediction in arid areas using wavelet analysis and Gaussian process regression39
Novel Genetic Algorithm (GA) based hybrid machine learning-pedotransfer Function (ML-PTF) for prediction of spatial pattern of saturated hydraulic conductivity35
Study on the characteristics of horn-like vortices in an axial flow pump impeller under off-design conditions31
Numerical investigation on the aerodynamic resistances of double-unit trains with different gap lengths28
Investigating photovoltaic solar power output forecasting using machine learning algorithms28
Time series-based groundwater level forecasting using gated recurrent unit deep neural networks27
Hybrid deep learning model for ozone concentration prediction: comprehensive evaluation and comparison with various machine and deep learning algorithms26
Prediction of daily water level using new hybridized GS-GMDH and ANFIS-FCM models25
Pan evaporation estimation by relevance vector machine tuned with new metaheuristic algorithms using limited climatic data25
Design and optimization of a bio-inspired hull shape for AUV by surrogate model technology23
Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions21
Water level prediction using various machine learning algorithms: a case study of Durian Tunggal river, Malaysia21
Daily pan-evaporation estimation in different agro-climatic zones using novel hybrid support vector regression optimized by Salp swarm algorithm in conjunction with gamma test21
Performance improvement of machine learning models via wavelet theory in estimating monthly river streamflow20
Accurate discharge coefficient prediction of streamlined weirs by coupling linear regression and deep convolutional gated recurrent unit20
Rigid vorticity transport equation and its application to vortical structure evolution analysis in hydro-energy machinery19
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