Fai Ma

1.8k citations
81 papers · 1.3k indexed · h-index 18

Fai Ma

79 papers receiving 1.2k citations

Peers

Fai Ma
Comparison fields: 5 of 83
  • Statistics, Probability and Uncertainty 322
  • Civil and Structural Engineering 613
  • Statistical and Nonlinear Physics 212
  • Control and Systems Engineering 332
  • Numerical Analysis 66
Replace Zhilong Huang with:
Zhilong Huang China
M. F. Dimentberg United States
W. Gawroński United States
Z.G. Ying China
Rubens Sampaio Brazil
K. Huseyin Canada
Ludovic Renson United Kingdom
D. L. Mingori United States
Chris L. Pettit United States
Jeanne M. Peters United States
Fai Ma relative to Zhilong Huang China Zhilong Huang's profile →
Citations per field
00.5×1.5×
Zhilong Huang · 1×
Citations per year

Countries citing papers authored by Fai Ma

Since Specialization
Citations

This map shows the geographic impact of Fai Ma'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 Fai Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fai Ma more than expected).

Fields of papers citing papers by Fai Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fai Ma. 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 Fai Ma. The network helps show where Fai Ma may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Fai Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fai Ma Line = papers co-authored together Fai Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202211
2 20221
3 20201
4 20201
5 20190
6 20131
7 20121
8 20102
9 20109
10 200936
11 200816
12 20076
13 20054
14 20053
15 19971
16 199534
17 19901
18 19901
19 19831
20 198110

About Fai Ma

Fai Ma is a scholar working on Statistics, Probability and Uncertainty, Numerical Analysis, Statistical and Nonlinear Physics, Civil and Structural Engineering and Control and Systems Engineering, having authored 81 papers that have together received 1.3k indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (14 papers), Probabilistic and Robust Engineering Design (12 papers), Matrix Theory and Algorithms (10 papers), Model Reduction and Neural Networks (9 papers), Numerical methods for differential equations (8 papers), Adhesion, Friction, and Surface Interactions (6 papers), Tribology and Lubrication Engineering (5 papers) and Dynamics and Control of Mechanical Systems (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (322 citations), Civil and Structural Engineering (613 citations), Statistical and Nonlinear Physics (212 citations), Control and Systems Engineering (332 citations) and Numerical Analysis (66 citations). Fai Ma has collaborated with scholars based in United States, China and Canada. Frequent co-authors include T. K. Caughey, Greg Foliente, Matthias Morzfeld, Phillip Paevere, H. Zhang, Jae‐Ho Hwang, Yongmin Yang, Ali Imam, Jie Liu and Haochuan Zhang. Their work appears in journals such as Journal of Applied Mechanics, Journal of Sound and Vibration, Journal of Applied Physics, International Journal of Non-Linear Mechanics and Mechanics Research Communications.

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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