Cheol-Hong Min

Cheol-Hong Min

University of St. Thomas

H-index: 13

North America-United States

About Cheol-Hong Min

Cheol-Hong Min, With an exceptional h-index of 13 and a recent h-index of 8 (since 2020), a distinguished researcher at University of St. Thomas, specializes in the field of Signal Processing, Artificial Intelligence, Robotics.

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

Design of nodule-lifting apparatus of seabed mining electric vehicle considering physical properties of polymetallic nodules

Characterization of metal elements in deep-seabed polymetallic nodules: A multivariate statistical approach

Multifunctional recovery apparatus of shore adhesion oils

Identification of marginal and joint CDFs using bivariate type I interval multiply censored data for RBDO of a pick-up device of a pilot mining robot

Recovery system for large-scale spilled oil flowing onto and adhered to shore

A Vibration-Based Strategy for Structural Health Monitoring with Cosine Similarity

A study on the simulation-based installation shape design method of steel lazy wave riser (SLWR) in ultra deepwater depth

Cheol-Hong Min Information

University

Position

___

Citations(all)

746

Citations(since 2020)

251

Cited By

632

hIndex(all)

13

hIndex(since 2020)

8

i10Index(all)

24

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Cheol-Hong Min Skills & Research Interests

Signal Processing

Artificial Intelligence

Robotics

Top articles of Cheol-Hong Min

Design of nodule-lifting apparatus of seabed mining electric vehicle considering physical properties of polymetallic nodules

Marine Georesources & Geotechnology

2023/4/24

Characterization of metal elements in deep-seabed polymetallic nodules: A multivariate statistical approach

Marine Georesources & Geotechnology

2024/2/23

Multifunctional recovery apparatus of shore adhesion oils

2022/2/15

Identification of marginal and joint CDFs using bivariate type I interval multiply censored data for RBDO of a pick-up device of a pilot mining robot

Structural and Multidisciplinary Optimization

2021/4

Recovery system for large-scale spilled oil flowing onto and adhered to shore

2021/2/23

A Vibration-Based Strategy for Structural Health Monitoring with Cosine Similarity

2021/4/23

A study on the simulation-based installation shape design method of steel lazy wave riser (SLWR) in ultra deepwater depth

Ocean Engineering

2020/2/1

See List of Professors in Cheol-Hong Min University(University of St. Thomas)