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Alaa Abdulhady Jaber

Articles
147
Citations
3,416
H-Index (GS)
37
H-Index (Scopus)
30

Google Scholar

H-Index37
Citations3,440
Documents144

Scopus

H-Index30
Citations2,476
Documents109

Web of Science

H-Index24

Publications by Year

H-Index Trend

Citation Growth

Top Cited Articles

1

An intelligent fault diagnosis approach for multirotor UAVs based on deep neural network of multi-resolution transform features

Drones 7 (2), 82, 20232023
141 cited
2

Fault diagnosis of industrial robot gears based on discrete wavelet transform and artificial neural network

Insight-Non-Destructive Testing and Condition Monitoring 58 (4), 179-186, 20162016
117 cited
3

Influence of fuel injection timing strategies on performance, combustion, emissions and particulate matter characteristics fueled with rapeseed methyl ester in modern diesel engine

Fuel 306, 121589, 20212021
95 cited
4

Thermal Heat Flux Distribution Prediction in an Electrical Vehicle Battery Cell Using Finite Element Analysis and Neural Network

Green Energy and Intelligent Transportation, 100155, 20242024
91 cited
5

A methodological approach for detecting multiple faults in wind turbine blades based on vibration signals and machine learning

Curved and Layered Structures 10 (1), 20220214, 20232023
83 cited
6

Vibration-current data fusion and gradient boosting classifier for enhanced stator fault diagnosis in three-phase permanent magnet synchronous motors

Electrical Engineering 106 (3), 3253-3268, 20242024
83 cited
7

Wind turbine blades fault diagnosis based on vibration dataset analysis

Data in Brief 49, 109414, 20232023
79 cited
8

Influence of fuel injection pressure and RME on combustion, NOx emissions and soot nanoparticles characteristics in common-rail HSDI diesel engine

International Journal of Thermofluids 15, 100173, 20222022
74 cited
9

Fault diagnosis of actuator damage in UAVs using embedded recorded data and stacked machine learning models: LA Al-Haddad et al.

The Journal of Supercomputing 80 (3), 3005-3024, 20242024
72 cited
10

Enhanced Fault Detection of Wind Turbine Using eXtreme Gradient Boosting Technique Based on Nonstationary Vibration Analysis

Journal of Failure Analysis and Prevention, 1-19, 20242024
71 cited