Limao Zhang

Limao Zhang

Nanyang Technological University

H-index: 47

Asia-Singapore

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:

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

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

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

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

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

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

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

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

Nanyang Technological University

Google Scholar

View Google Scholar Profile

Limao Zhang Skills & Research Interests

BIM Data Aanalytics

Artificial Intelligence

Bayesian Networks

Construction Safety

Risk Analysis

Top articles of Limao Zhang

Title

Journal

Author(s)

Publication Date

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

Engineering Science and Technology, an International Journal

Alvin Wei Ze Chew

Renfei He

Limao Zhang

2024/1/1

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

Measurement

Limao Zhang

Yiheng Su

Yongsheng Li

Penghui Lin

2024/2/25

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

Renfei He

Robert LK Tiong

Yong Yuan

Limao Zhang

2024/5/1

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

Automation in Construction

Jiaqi Wang

Ke Chen

Hui Yang

Limao Zhang

2024/1/1

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

Automation in Construction

Limao Zhang

Jing Guo

Xianlei Fu

Robert Lee Kong Tiong

Penghui Zhang

2024/2/1

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

Automation in Construction

Yongsheng Li

Yue Pan

Limao Zhang

2024/5/1

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

Kunyu Wang

Limao Zhang

2024

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

Automation in Construction

Penghui Lin

Maozhi Wu

Zhonghua Xiao

Robert LK Tiong

Limao Zhang

2024/2/1

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

Energy and Buildings

Chao Chen

Jing Guo

Limao Zhang

Xiaoying Wu

Zheng Yang

2024/4/7

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

Reliability Engineering & System Safety

Ying Wang

Ou Zhao

Limao Zhang

2024/1/1

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

Automation in Construction

Xianlei Fu

Sasthikapreeya Ponnarasu

Limao Zhang

Robert Lee Kong Tiong

2024/2/1

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

Journal of Civil Engineering and Management

Xuewei Li

Jingfeng Yuan

Limao Zhang

Dujuan Yang

2024/4/4

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

Expert Systems with Applications

Renfei He

Limao Zhang

Alvin Wei Ze Chew

2024/1/1

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

Reliability Engineering & System Safety

Jiaqi Wang

Limao Zhang

Hui Yang

Huabei Liu

Mirosław J Skibniewski

2024/1/3

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

Expert Systems with Applications

Xianlei Fu

Yue Pan

Limao Zhang

2024/3/15

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

Reliability Engineering & System Safety

Renfei He

Limao Zhang

Robert LK Tiong

2023/6/14

HExpPredict: In Vivo Exposure Prediction of Human Blood Exposome Using a Random Forest Model and Its Application in Chemical Risk Prioritization

Environmental Health Perspectives

Fanrong Zhao

Li Li

Penghui Lin

Yue Chen

Shipei Xing

...

2023/3/13

Time series clustering-enabled geological condition perception in tunnel boring machine excavation

Automation in Construction

Yue Pan

Maozhi Wu

Limao Zhang

Jinjian Chen

2023/9/1

Modified boosting and bagging for building tilt rate prediction in tunnel construction

Automation in Construction

Leilei Chang

Limao Zhang

2023/11/1

A transformer-based deep learning method for automatic pixel-level crack detection and feature quantification

Engineering, Construction and Architectural Management

Ankang Ji

Xiaolong Xue

Limao Zhang

Xiaowei Luo

Qingpeng Man

2023/12/28

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

Co-Authors

H-index: 64
Mirosław J. Skibniewski

Mirosław J. Skibniewski

University of Maryland, Baltimore

H-index: 59
Simaan Abourizk

Simaan Abourizk

University of Alberta

H-index: 41
Yujie Lu

Yujie Lu

Tongji University

H-index: 35
Guangdong Wu

Guangdong Wu

Chongqing University

H-index: 29
Baabak Ashuri

Baabak Ashuri

Georgia Institute of Technology

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