2026 Fu Xiao: Engineering and Technology Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Engineering and Technology	62	1947	1858	396	395	154	12080

Overview

Fu Xiao is affiliated with the Hong Kong Polytechnic University in China and has made significant contributions in the field of engineering, particularly focusing on building energy and comfort optimization.

Their research covers a range of topics including:

Building Energy and Comfort Optimization
Smart Grid Energy Management
Energy Load and Power Forecasting
Energy Efficiency and Management
Refrigeration and Air Conditioning Technologies
Fire Detection and Safety Systems
Evacuation and Crowd Dynamics

The main fields of study addressed by Fu Xiao comprise engineering disciplines such as:

Building and Construction
Electrical and Electronic Engineering
Mechanical Engineering
Renewable Energy, Sustainability and the Environment
Civil and Structural Engineering

Fu Xiao's frequent publication venues include:

Applied Energy
Building Simulation
Energy and Buildings
arXiv (Cornell University)
Journal of Building Engineering

Their common co-authors are:

Yanxue Li
Weijun Gao
Xinyan Huang
Zhe Chen
Chong Zhang

Selected recent papers illustrate the focus and scope of their work:

Interpretable machine learning for building energy management: A state-of-the-art review (2023), published in Advances in Applied Energy
Attention-based interpretable neural network for building cooling load prediction (2021), published in Applied Energy
Advanced data analytics for enhancing building performances: From data-driven to big data-driven approaches (2020), published in Building Simulation
Smart Detection of Fire Source in Tunnel Based on the Numerical Database and Artificial Intelligence (2020), published in Fire Technology
A real-time forecast of tunnel fire based on numerical database and artificial intelligence (2021), published in Building Simulation

Fu Xiao's research integrates advanced methodologies including interpretable machine learning and artificial intelligence to address challenges in energy management, load prediction, building performance, and fire safety systems.

Best Publications

A short-term building cooling load prediction method using deep learning algorithms

Cheng Fan;Fu Xiao;Yang Zhao

687
Citations
Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques

Cheng Fan;Fu Xiao;Shengwei Wang

607
Citations
Quantitative energy performance assessment methods for existing buildings

Shengwei Wang;Chengchu Yan;Fu Xiao

426
Citations
Peak load shifting control using different cold thermal energy storage facilities in commercial buildings: A review

Yongjun Sun;Shengwei Wang;Fu Xiao;Diance Gao

390
Citations
AHU sensor fault diagnosis using principal component analysis method

Shengwei Wang;Fu Xiao

320
Citations
Data mining in building automation system for improving building operational performance

Fu Xiao;Cheng Fan

309
Citations
Pattern recognition-based chillers fault detection method using Support Vector Data Description (SVDD)

Yang Zhao;Shengwei Wang;Fu Xiao

288
Citations
Research and application of evaporative cooling in China: A review (I) – Research

Y.M. Xuan;Y.M. Xuan;F. Xiao;X.F. Niu;X.F. Niu;X. Huang

280
Citations
Analytical investigation of autoencoder-based methods for unsupervised anomaly detection in building energy data

Cheng Fan;Fu Xiao;Yang Zhao;Jiayuan Wang

272
Citations
A framework for knowledge discovery in massive building automation data and its application in building diagnostics

Cheng Fan;Fu Xiao;Chengchu Yan

251
Citations
An intelligent chiller fault detection and diagnosis methodology using Bayesian belief network

Yang Zhao;Fu Xiao;Shengwei Wang

233
Citations
Unsupervised data analytics in mining big building operational data for energy efficiency enhancement: A review

Cheng Fan;Fu Xiao;Zhengdao Li;Jiayuan Wang

217
Citations
Statistical investigations of transfer learning-based methodology for short-term building energy predictions

Cheng Fan;Yongjun Sun;Fu Xiao;Jie Ma

216
Citations
An interactive building power demand management strategy for facilitating smart grid optimization

Xue Xue;Shengwei Wang;Yongjun Sun;Fu Xiao

211
Citations
Attention-based interpretable neural network for building cooling load prediction

Ao Li;Fu Xiao;Chong Zhang;Cheng Fan;Cheng Fan

206
Citations
Diagnostic Bayesian networks for diagnosing air handling units faults – part I: Faults in dampers, fans, filters and sensors

Yang Zhao;Jin Wen;Fu Xiao;Xuebin Yang

195
Citations
A system-level fault detection and diagnosis strategy for HVAC systems involving sensor faults

Shengwei Wang;Qiang Zhou;Fu Xiao

175
Citations
Advanced data analytics for enhancing building performances: From data-driven to big data-driven approaches

Cheng Fan;Da Yan;Fu Xiao;Ao Li

167
Citations
A novel methodology to explain and evaluate data-driven building energy performance models based on interpretable machine learning

Cheng Fan;Cheng Fan;Fu Xiao;Chengchu Yan;Chengliang Liu

164
Citations
Control performance of a dedicated outdoor air system adopting liquid desiccant dehumidification

Fu Xiao;Gaoming Ge;Xiaofeng Niu

159
Citations
Temporal knowledge discovery in big BAS data for building energy management

Cheng Fan;Fu Xiao;Henrik Madsen;Dan Wang

158
Citations