Ozhan Gecgel

Ozhan Gecgel

Texas Tech University

H-index: 6

North America-United States

About Ozhan Gecgel

Ozhan Gecgel, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Texas Tech University, specializes in the field of Prognotics, Condition Monitoring, Machine Learning, Deep Learning, Data Analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

(Invited) Ammonia Electrolysis from Fundamentals to Scale up

Selective Electrochemical Detection of SARS-CoV-2 Using Deep Learning

SARS-CoV-2 surveillance in indoor air using electrochemical sensor for continuous monitoring and real-time alerts

Prognostics and health management of wind energy infrastructure systems

Deep convolutional neural network framework for diagnostics of planetary gearboxes under dynamic loading with feature-level data fusion

Diagnostics of Bearing Wear in an Experimental Setup Using a Convolutional Neural Network Trained Only with Simulated Data

Continuous and Ultra-Fast Sars-Cov-2 Monitoring of Indoor Air

Simulation-driven deep learning approach for wear diagnostics in hydrodynamic journal bearings

Ozhan Gecgel Information

University

Position

___

Citations(all)

156

Citations(since 2020)

154

Cited By

37

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Ozhan Gecgel Skills & Research Interests

Prognotics

Condition Monitoring

Machine Learning

Deep Learning

Data Analysis

Top articles of Ozhan Gecgel

(Invited) Ammonia Electrolysis from Fundamentals to Scale up

Electrochemical Society Meeting Abstracts 244

2023/12/22

Ozhan Gecgel
Ozhan Gecgel

H-Index: 3

Selective Electrochemical Detection of SARS-CoV-2 Using Deep Learning

Viruses

2022/8/30

Ozhan Gecgel
Ozhan Gecgel

H-Index: 3

SARS-CoV-2 surveillance in indoor air using electrochemical sensor for continuous monitoring and real-time alerts

Biosensors

2022/7/13

Fei Lu
Fei Lu

H-Index: 7

Ozhan Gecgel
Ozhan Gecgel

H-Index: 3

Prognostics and health management of wind energy infrastructure systems

2022/6/1

Deep convolutional neural network framework for diagnostics of planetary gearboxes under dynamic loading with feature-level data fusion

Journal of Vibration and Acoustics

2022/6/1

Ozhan Gecgel
Ozhan Gecgel

H-Index: 3

Tobias Souza Morais
Tobias Souza Morais

H-Index: 5

Diagnostics of Bearing Wear in an Experimental Setup Using a Convolutional Neural Network Trained Only with Simulated Data

2022/5

Continuous and Ultra-Fast Sars-Cov-2 Monitoring of Indoor Air

Electrochemical Society Meeting Abstracts 240

2021/10/19

Ozhan Gecgel
Ozhan Gecgel

H-Index: 3

Fei Lu
Fei Lu

H-Index: 7

Simulation-driven deep learning approach for wear diagnostics in hydrodynamic journal bearings

Journal of Tribology

2021/8/1

A deep learning application to approximate the geometric orifice and coaptation areas of the polymeric heart valves under time–varying transvalvular pressure

Journal of the Mechanical Behavior of Biomedical Materials

2021/5/1

Ozhan Gecgel
Ozhan Gecgel

H-Index: 3

Atila Ertas
Atila Ertas

H-Index: 10

Uncertainty quantification in deep convolutional neural network diagnostics of journal bearings with ovalization fault

Mechanism and Machine Theory

2020/7/1

See List of Professors in Ozhan Gecgel University(Texas Tech University)

Co-Authors

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