Heung‐Fai Lam

5.2k total citations
133 papers, 3.9k citations indexed

About

Heung‐Fai Lam is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Heung‐Fai Lam has authored 133 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Civil and Structural Engineering, 32 papers in Mechanical Engineering and 22 papers in Mechanics of Materials. Recurrent topics in Heung‐Fai Lam's work include Structural Health Monitoring Techniques (92 papers), Infrastructure Maintenance and Monitoring (57 papers) and Ultrasonics and Acoustic Wave Propagation (21 papers). Heung‐Fai Lam is often cited by papers focused on Structural Health Monitoring Techniques (92 papers), Infrastructure Maintenance and Monitoring (57 papers) and Ultrasonics and Acoustic Wave Propagation (21 papers). Heung‐Fai Lam collaborates with scholars based in Hong Kong, China and Australia. Heung‐Fai Lam's co-authors include Lambros S. Katafygiotis, Jia‐Hua Yang, H.Y. Peng, Siu‐Kui Au, Tao Yin, Ching‐Tai Ng, J. L. Beck, E. A. Johnson, Ka‐Veng Yuen and Feng‐Liang Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Atmospheric Environment and Energy Conversion and Management.

In The Last Decade

Heung‐Fai Lam

130 papers receiving 3.7k citations

Peers

Countries citing papers authored by Heung‐Fai Lam

Since Specialization

Citations

This map shows the geographic impact of Heung‐Fai Lam's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Heung‐Fai Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heung‐Fai Lam more than expected).

Fields of papers citing papers by Heung‐Fai Lam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heung‐Fai Lam. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Heung‐Fai Lam. The network helps show where Heung‐Fai Lam may publish in the future.

Co-authorship network of co-authors of Heung‐Fai Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Heung‐Fai Lam. A scholar is included among the top collaborators of Heung‐Fai Lam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Heung‐Fai Lam. Heung‐Fai Lam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Title	Journal	Authors	Indexed citations
1	Development of an adaptive model class for considering spatiotemporal correlation in Bayesian model updating and system identification	Engineering Structures	Jia‐Hua Yang, Yong Huang et al.	1
2	Efficient Bayesian model updating with surrogate model of a high-rise building based on MCMC and ambient data	Engineering Structures	Feng‐Liang Zhang, Yan‐Chun Ni et al.	2
3	Interference effect of photovoltaic solar arrays on wind load of building roof by large eddy simulations	Engineering Structures	H.J. Liu, Heung‐Fai Lam et al.	0
4	Improving performance of twin counter-rotating vertical axis wind turbines under turbulent conditions: an integrated study using Taguchi method and large eddy simulation	Energy	H.Y. Peng, Shouhua Sun et al.	2
5	Cell-free supernatants from plant growth-promoting rhizobacteria Bacillus albus strains control Aspergillus flavus disease in peanut and maize seedlings	Beni-Suef University Journal of Basic and Applied Sciences	Kim Hung Le, Heung‐Fai Lam et al.	3
6	Bayesian uncertainty quantification of modal parameters and RRF identification of transmission towers with limited measured vibration data	Engineering Structures	Yanming Zhu, Chao Zhao et al.	8
7	Time-domain structural model updating following the Bayesian approach in the absence of system input information	Engineering Structures	Heung‐Fai Lam, Zheng Yi Fu et al.	11
8	Outlier-resistant guided wave dispersion curve recovery and measurement placement optimization base on multitask complex hierarchical sparse Bayesian learning	Mechanical Systems and Signal Processing	Shicheng Xue, Wensong Zhou et al.	1
9	The design of a double-fold blade wind turbine with flat-plate blade sections	Sustainable Energy Technologies and Assessments	Heung‐Fai Lam, H.Y. Peng et al.	0
10	An Efficient Dynamic Response Reconstruction Methodology Based on Model Condensation and Modal Decomposition	International Journal of Structural Stability and Dynamics	Zheng Yi Fu, Heung‐Fai Lam et al.	5
11	Enhanced adaptive sequential Monte Carlo method for Bayesian model class selection by quantifying data fit and information gain	Mechanical Systems and Signal Processing	Jia‐Hua Yang, Wenyue Liu et al.	6
12	Pre-trained 1DCNN-BiLSTM Hybrid Network for Temperature Prediction of Wind Turbine Gearboxes	Processes	Kejia Zhuang, Cong Ma et al.	1
13	A Markov chain Monte Carlo-based Bayesian framework for system identification and uncertainty estimation of full-scale structures	Engineering Structures	Jia‐Hua Yang, Heung‐Fai Lam et al.	8
14	Bayesian ballast damage detection utilizing a modified evolutionary algorithm	Smart Structures and Systems	Hu Qin, Heung‐Fai Lam et al.	8
15	Model updating of the rail-sleeper-ballast system and its application in ballast damage detection		Qin Hu, Heung‐Fai Lam	1
16	The modification of finite element model of a coupled slab system utilizing measured modal parameters		Heung‐Fai Lam et al.	1
17	Crack Detection of Thin Plate Structures Utilizing Measured Vibration	Procedia Engineering	Heung‐Fai Lam, Qin Hu et al.	3
18	Structural Health Monitoring via Measured Ritz Vectors Utilizing Artificial Neural Networks	Computer-Aided Civil and Infrastructure Engineering	Heung‐Fai Lam, Ka‐Veng Yuen et al.	104
19	A Simulated Data Benchmark Problem in Structural Health Monitoring	CaltechAUTHORS (California Institute of Technology)	E. A. Johnson, Heung‐Fai Lam et al.	3
20	Damage Detection in Steel Framed Structures by Vibration Measurement Approach		J.M. Ko, C. W. Wong et al.	22

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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