Limao Zhang

About Limao Zhang

Limao Zhang, With an exceptional h-index of 47 and a recent h-index of 44 (since 2020), a distinguished researcher at Nanyang Technological University, specializes in the field of BIM Data Aanalytics, Artificial Intelligence, Bayesian Networks, Construction Safety, Risk Analysis.

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

Enhancing resilience of urban underground space under floods: Current status and future directions

Physics-guided deep learning for driving force estimation in synchronous tunnel boring machines under missing cylinders

Robust multi-scale time series prediction for building carbon emissions considering environmental factors with explainable deep learning

Risk assessment of subway station fire by using a Bayesian network-based scenario evolution model

A causal-temporal graphic convolutional network (CT-GCN) approach for TBM load prediction in tunnel excavation

Estimating urban land subsidence with satellite data using a spatially multiscale geographically weighted regression approach

Digital twin enabled real-time advanced control of TBM operation using deep learning methods

Physics-informed deep reinforcement learning for enhancement on tunnel boring machine's advance speed and stability

Limao Zhang Information

University

Position

___

Citations(all)

7749

Citations(since 2020)

6875

Cited By

2253

hIndex(all)

47

hIndex(since 2020)

44

i10Index(all)

149

i10Index(since 2020)

143

Email

University Profile Page

Google Scholar

Limao Zhang Skills & Research Interests

BIM Data Aanalytics

Artificial Intelligence

Bayesian Networks

Construction Safety

Risk Analysis

Top articles of Limao Zhang

Enhancing resilience of urban underground space under floods: Current status and future directions

2024/5/1

Limao Zhang
Limao Zhang

H-Index: 25

Physics-guided deep learning for driving force estimation in synchronous tunnel boring machines under missing cylinders

Automation in Construction

2024/5/1

Robust multi-scale time series prediction for building carbon emissions considering environmental factors with explainable deep learning

Energy and Buildings

2024/4/7

Risk assessment of subway station fire by using a Bayesian network-based scenario evolution model

Journal of Civil Engineering and Management

2024/4/4

A causal-temporal graphic convolutional network (CT-GCN) approach for TBM load prediction in tunnel excavation

Expert Systems with Applications

2024/3/15

Yue Pan
Yue Pan

H-Index: 9

Limao Zhang
Limao Zhang

H-Index: 25

Estimating urban land subsidence with satellite data using a spatially multiscale geographically weighted regression approach

Measurement

2024/2/25

Digital twin enabled real-time advanced control of TBM operation using deep learning methods

Automation in Construction

2024/2/1

Physics-informed deep reinforcement learning for enhancement on tunnel boring machine's advance speed and stability

Automation in Construction

2024/2/1

Penghui Lin
Penghui Lin

H-Index: 4

Limao Zhang
Limao Zhang

H-Index: 25

Online multi-objective optimization for real-time TBM attitude control with spatio-temporal deep learning model

Automation in Construction

2024/2/1

Limao Zhang
Limao Zhang

H-Index: 25

Dynamic Reliability Analysis of Aerial Building Machine under Extreme Wind Loads Using Improved QBDC-based Active Learning

Reliability Engineering & System Safety

2024/1/3

Modelling clogging dynamics in groundwater systems using multiscale homogenized physics informed neural network (MHPINN)

Engineering Science and Technology, an International Journal

2024/1/1

Limao Zhang
Limao Zhang

H-Index: 25

Ensemble deep learning enabled multi-condition generative design of aerial building machine considering uncertainties

Automation in Construction

2024/1/1

Online optimization for enhanced Tunneling Boring Machine (TBM) attitude control during the tunneling process

2024

Limao Zhang
Limao Zhang

H-Index: 25

Modeling urban rail transit system resilience under natural disasters: A two-layer network framework based on link flow

Reliability Engineering & System Safety

2024/1/1

Ying Wang
Ying Wang

H-Index: 3

Limao Zhang
Limao Zhang

H-Index: 25

Data-driven multi-step prediction and analysis of monthly rainfall using explainable deep learning

Expert Systems with Applications

2024/1/1

Limao Zhang
Limao Zhang

H-Index: 25

Driving forces analysis of urban ground deformation using satellite monitoring and multiscale geographically weighted regression

Measurement

2023/6/15

Limao Zhang
Limao Zhang

H-Index: 25

Yongsheng Li
Yongsheng Li

H-Index: 10

Flood risk assessment and mitigation for metro stations: an evidential-reasoning-based optimality approach considering uncertainty of subjective parameters

Reliability Engineering & System Safety

2023/6/14

Limao Zhang
Limao Zhang

H-Index: 25

A Hybrid Deep Learning Approach for Real-Time Estimation of Passenger Traffic Flow in Urban Railway Systems

Buildings

2023/6/12

Limao Zhang
Limao Zhang

H-Index: 25

Numerical investigation of plastic strain localization for rock-like materials in the framework of fractional plasticity

Applied Mathematical Modelling

2023/6/1

Causality-based multi-model ensemble learning for safety assessment in metro tunnel construction

Reliability Engineering & System Safety

2023/6/1

Limao Zhang
Limao Zhang

H-Index: 25

Xiaobin Xu
Xiaobin Xu

H-Index: 3

See List of Professors in Limao Zhang University(Nanyang Technological University)

Co-Authors

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