NEWS
Institutional Subscription: Comprehensive Analyses to Enhance Your Global and Local Impact
New Feature: Compare Your Institution with the Previous Year
Find a Professional: Explore Experts Across 197 Disciplines in 221 Countries!
Find a Professional
Print Your Certificate
New! Young University / Institution Rankings 2025
New! Art & Humanities Rankings 2025
New! Social Sciences and Humanities Rankings 2025
Highly Cited Researchers 2025
AD
Scientific Index 2025
Scientist Rankings
University Rankings
Subject Rankings
Country Rankings
Login
Register & Pricing
insights
H-Index Rankings
insights
i10 Productivity Rankings
format_list_numbered
Citation Rankings
subject
University Subject Rankings
school
Young Universities
format_list_numbered
Top 100 Scientists
format_quote
Top 100 Institutions
format_quote
Compare & Choose
local_fire_department
Country Reports
person
Find a Professional
Jun Yan
Dalian University of Technology - Dalian / China
Others
AD Scientific Index ID: 4573078
大连理工大学
Registration, Add Profile,
Premium Membership
Print Your Certificate
Ranking &
Analysis
Job
Experiences (0)
Education
Information (0)
Published Books (0)
Book Chapters (0)
Articles (0)
Presentations (0)
Lessons (0)
Projects (0)
Subject Leaders
Editorship, Referee &
Scientific Board (0 )
Patents /
Designs (0)
Academic Grants
& Awards (0)
Artistic
Activities (0)
Certificate / Course
/ Trainings (0)
Association &
Society Memberships (0)
Contact, Office
& Social Media
person_outline
Jun Yan's MOST POPULAR ARTICLES
1-)
Review of wave energy converter and design of mooring systemD Qiao, R Haider, J Yan, D Ning, B LiSustainability 12 (19), 8251, 2020372020
2-)
Realtime prediction of dynamic mooring lines responses with LSTM neural network modelD Qiao, P Li, G Ma, X Qi, J Yan, D Ning, B LiOcean Engineering 219, 108368, 2021242021
3-)
A new approach to predict dynamic mooring tension using LSTM neural network based on responses of floating structureZ Wang, D Qiao, J Yan, G Tang, B Li, D NingOcean Engineering 249, 110905, 2022292022
4-)
An improved quasi-static model for mooring-induced damping estimation using in the truncation design of mooring systemT Fan, D Qiao, J Yan, C Chen, J OuOcean Engineering 136, 322-329, 2017362017
5-)
An identification method of floating wind turbine tower responses using deep learning technology in the monitoring systemZ Wang, D Qiao, G Tang, B Wang, J Yan, J OuOcean Engineering 261, 112105, 2022
ARTICLES
Add your articles
We use cookies to personalize our website and offer you a better experience. If you accept cookies, we can offer you special services.
Cookie Policy
Accept