Loading...
The system can't perform the operation now. Try again later.
Citations per year
Duplicate citations
The following articles are merged in Scholar. Their
combined citations
are counted only for the first article.
Merged citations
This "Cited by" count includes citations to the following articles in Scholar. The ones marked
*
may be different from the article in the profile.
Add co-authors
Co-authors
Follow
New articles by this author
New citations to this author
New articles related to this author's research
Email address for updates
Done
My profile
My library
Metrics
Alerts
Settings
Sign in
Sign in
Get my own profile
Cited by
All
Since 2019
Citations
9
9
h-index
2
2
i10-index
0
0
0
6
3
2023
2024
3
6
Follow
Katayoun Eshkofti
PhD Graduate,
Ferdowsi University of Mashhad
Verified email at mail.um.ac.ir
Physics-Informed Deep Learning
Scientific Machine Learning
Thermoelasticity Analysis
Articles
Cited by
Title
Sort
Sort by citations
Sort by year
Sort by title
Cited by
Cited by
Year
A gradient-enhanced physics-informed neural network (gPINN) scheme for the coupled non-fickian/non-fourierian diffusion-thermoelasticity analysis: A novel gPINN structure
K Eshkofti, SM Hosseini
Engineering Applications of Artificial Intelligence 126, 106908
, 2023
3
2023
The novel PINN/gPINN-based deep learning schemes for non-Fickian coupled diffusion-elastic wave propagation analysis
K Eshkofti, SM Hosseini
Waves in Random and Complex Media, 1-24
, 2023
3
2023
A deep learning approach based on the physics-informed neural networks for Gaussian thermal shock-induced thermoelastic wave propagation analysis in a thick hollow cylinder …
K Eshkofti, SM Hosseini
Waves in Random and Complex Media, 1-40
, 2022
2
2022
Human Reliability Analysis for Cardiopulmonary Resuscitation Process in Emergency Medicine Using a Modified Hybrid Method Based on the Markov Model and Fault Tree Analysis
S Rasouli, K Eshkofti, SM Hosseini, E Pishbin
Journal of Patient Safety & Quality Improvement 9 (3), 163-175
, 2021
1
2021
A new modified deep learning technique based on physics-informed neural networks (PINNs) for the shock-induced coupled thermoelasticity analysis in a porous material
K Eshkofti, SM Hosseini
Journal of Thermal Stresses, 1-28
, 2024
2024
Investigation of the Implementation of RFID Technology in Four-Echelon Supply Chain Simulation-Based Approach
S Shokouhyar, K Eshkofti, J Firouzbakht
Logistics Thought 14 (52), 159-187
, 2015
2015
The system can't perform the operation now. Try again later.
Articles 1–6
Show more
Privacy
Terms
Help
About Scholar
Search help