shan liang

About shan liang

shan liang, With an exceptional h-index of 19 and a recent h-index of 15 (since 2020), a distinguished researcher at Chongqing University,

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

A self-supervised leak detection method for natural gas gathering pipelines considering unlabeled multi-class non-leak data

Leak detection for natural gas gathering pipeline using spatio-temporal fusion of practical operation data

An AIS-based deep learning model for multi-task in the marine industry

A Cyber-Physical Traffic Signaling System for Controlled Waterway in Inland River Based on Edge-centric IoT

Improved STMask R-CNN-based defect detection model for automatic visual inspection of an optics lens

An unsupervised leak detection method with aggregating prediction and reconstruction along projection pathway for natural gas gathering pipelines

Data-driven digital twin method for leak detection in natural gas pipelines

Leak Detection in Natural Gas Pipelines Based on Unsupervised Reconstruction of Healthy Flow Data

shan liang Information

University

Position

___

Citations(all)

1359

Citations(since 2020)

846

Cited By

846

hIndex(all)

19

hIndex(since 2020)

15

i10Index(all)

47

i10Index(since 2020)

27

Email

University Profile Page

Google Scholar

Top articles of shan liang

A self-supervised leak detection method for natural gas gathering pipelines considering unlabeled multi-class non-leak data

Computers in Industry

2024/8/1

Leak detection for natural gas gathering pipeline using spatio-temporal fusion of practical operation data

Engineering Applications of Artificial Intelligence

2024/7/1

An AIS-based deep learning model for multi-task in the marine industry

Ocean Engineering

2024/2/1

A Cyber-Physical Traffic Signaling System for Controlled Waterway in Inland River Based on Edge-centric IoT

Authorea Preprints

2023/12/22

Shan Liang
Shan Liang

H-Index: 11

Improved STMask R-CNN-based defect detection model for automatic visual inspection of an optics lens

Applied Optics

2023/11/20

Shan Liang
Shan Liang

H-Index: 11

An unsupervised leak detection method with aggregating prediction and reconstruction along projection pathway for natural gas gathering pipelines

Process Safety and Environmental Protection

2023/11/1

Data-driven digital twin method for leak detection in natural gas pipelines

Computers and Electrical Engineering

2023/9/1

Leak Detection in Natural Gas Pipelines Based on Unsupervised Reconstruction of Healthy Flow Data

SPE Production & Operations

2023/8/9

Leak Detection for Natural Gas Gathering Pipelines Under Multiple Operating Conditions Using RP-1dConvLSTM-AE and Multimodel Decision

IEEE Transactions on Industrial Electronics

2023/7/21

Gas-Driven Endoscopic Robot for Visual Inspection of Corrosion Defects Inside Gas Pipelines

Processes

2023/4/4

Unsupervised Fault Detection Driven by Multivariate Time Series for Aeroengines

Journal of Aerospace Engineering

2023/3/1

Mengyu Chen
Mengyu Chen

H-Index: 1

Shan Liang
Shan Liang

H-Index: 11

A visual defect detection for optics lens based on the YOLOv5-C3CA-SPPF network model

Optics Express

2023/1/16

Shan Liang
Shan Liang

H-Index: 11

Automatic detection of internal corrosion defect in a natural gas gathering pipeline using improved YOLOv5 model

IFAC-PapersOnLine

2023/1/1

Modeling Method for Sampling Zeros of Sampled-data System with Time Delay in Generalized Sample Hold

IFAC-PapersOnLine

2023/1/1

Gas pipeline flow prediction model based on LSTM with grid search parameter optimization

Processes

2022/12/27

Unsupervised leak detection of natural gas pipe based on leak-free flow data and deep auto-encoder

2022/11/25

Predicting Ship Speed in the Inland Waterways with LSTM Network

2022/11/11

Yanxia Wang
Yanxia Wang

H-Index: 4

Shan Liang
Shan Liang

H-Index: 11

Intelligent Vessel Scheduling System for the Controlled inland Waterway Based CPS*

2022/10/8

Hui Xie
Hui Xie

H-Index: 4

Shan Liang
Shan Liang

H-Index: 11

A semi-supervised leakage detection method driven by multivariate time series for natural gas gathering pipeline

Process Safety and Environmental Protection

2022/8/1

Coupled electromagnetic, heat and mass transport ODE model for microwave drying process

2022/7/25

See List of Professors in shan liang University(Chongqing University)

Co-Authors

academic-engine