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ORCIDLiang Gao 0006
Person information
- affiliation: Beijing Jiaotong University, School of Civil Engineering, China
- affiliation (PhD 1997): Southwest Jiaotong University, Chengdu, China
- not to be confused with: Liang Gao 0002
Other persons with the same name
- Liang Gao — disambiguation page
- Liang Gao 0001
![[0000-0002-1485-0722]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1485-0722")
— Huazhong University of Science and Technology, State Key Laboratory of Digital Manufacturing Equipment and Technology, Wuhan, China - Liang Gao 0002 — Beijing Jiaotong University, School of Traffic and Transportation, Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, China
- Liang Gao 0003 — Harbin Institute of Technology, State Key Laboratory of Robotics and System, China
- Liang Gao 0004 — National University of Defense Technology, National Key Laboratory of Parallel and Distributed Processing, Changsha, China
- Liang Gao 0005 — City University of Hong Kong, Hong Kong (and 1 more)
- Liang Gao 0007 — Sichuan Agricultural University, Sichuan Agricultural University, China
- Liang Gao 0008 — Institute of North Electronic Equipment, Beijing, China
- Liang Gao 0009 — Shanghai Jiao Tong University, School of Physics and Astronomy, Shanghai, China
- Liang Gao 0010 — University of Chinese Academy of Sciences, Beijing Yanshan Earth Critical Zone National Research Station, College of Resources and Environment, Beijing, China
- Liang Gao 0011 — Xinjiang University, College of Software, Urumqi, China
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2020 – today
- 2021
[j4]Bowen Hou, Jiajing Li, Liang Gao, Di Wang:
Multi-Source Coupling Based Analysis of the Acoustic Radiation Characteristics of the Wheel-Rail Region of High-Speed Railways. Entropy 23(10): 1328 (2021)- 2020
- [j3]Hui Yin, Zhihao Liu, Zhiyuan Xu, Liang Gao:
An Automatic Visual Monitoring System for Expansion Displacement of Switch Rail. IEEE Trans. Instrum. Meas. 69(6): 3015-3025 (2020)
2010 – 2019
- 2019
- [j2]Bolun An, Liang Gao, Tao Xin, Guorong Xiang, Ji Wang:
A Novel Approach of Identifying Railway Track Rail's Modal Frequency From Wheel-Rail Excitation and Its Application in High-Speed Railway Monitoring. IEEE Access 7: 180986-180997 (2019) - [j1]Shuai Ma, Liang Gao, Xiubo Liu, Jing Lin:
Deep Learning for Track Quality Evaluation of High-Speed Railway Based on Vehicle-Body Vibration Prediction. IEEE Access 7: 185099-185107 (2019)
Coauthor Index
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