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China Railway Shanghai Design Institute Group (China) | Researchclopedia

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China Railway Shanghai Design Institute Group (China)

Shanghaicompany

608

Works

3,354

Citations

24

h-index

Top Research Topics

Civil and Geotechnical Engineering Research Railway Engineering and Dynamics Geotechnical Engineering and Analysis

Top Researchers

Ke An University of Toledo

570 works25,359 citationsh-index: 74

Recent Research

Characterization and stochastic reconstruction of time-varying corrosion morphology of steel in marine atmospheric environments

Tao Chen,Shenggang Fan,et al.

20260 citations

Geotechnical Engineering and Underground Structures

Railway Systems and Energy Efficiency

Structural Load-Bearing Analysis

Structural Engineering and Vibration Analysis

Grouting, Rheology, and Soil Mechanics

Geomechanics and Mining Engineering

Infrastructure Maintenance and Monitoring

Transportation Planning and Optimization

Simulation and Modeling Applications

Yinsheng Wang University of California, Riverside

508 works23,468 citationsh-index: 70

Jie Yang Xihua University

2,436 works22,928 citationsh-index: 76

Feng Xia Soochow University

757 works19,617 citationsh-index: 69

Lei Wu Sinopec (China)

409 works17,047 citationsh-index: 70

Xiang Ren Chengdu Medical College

432 works16,889 citationsh-index: 64

A SHAP- and ALE-based interpretation framework for decoding complex influences on asphalt pavement cracking using LTPP data

Jiantao Wu,Yijie Liu,et al.

20260 citations

Repair and performance enhancement of microbial self-healing concrete cracks at high altitudes under different humidity conditions

Hui Rong,Tianwei Yang,et al.

20260 citations

Assessment of some characteristics of pitfall‐style traps in trapping the tropical bed bug, <scp> <i>Cimex hemipterus</i> </scp> (Hemiptera: Cimicidae)

Tongen Ye,Liling Zeng,et al.

20260 citations

CNN-BiLSTM Hybrid Neural Network with Attention Mechanism for Structural Nonlinear Model Updating

Ya‐Jie Ding,Zuo‐Cai Wang,et al.

20260 citations

A two-layer multivariate decomposition framework for spatiotemporal tourism demand forecasting based on Internet search and city synergy factors

Ning Zhang,Yong Liu,et al.

20260 citations