Szu Hui Ng

2.2k total citations
97 papers, 1.7k citations indexed

About

Szu Hui Ng is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Szu Hui Ng has authored 97 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computational Theory and Mathematics, 44 papers in Management Science and Operations Research and 22 papers in Artificial Intelligence. Recurrent topics in Szu Hui Ng's work include Advanced Multi-Objective Optimization Algorithms (45 papers), Simulation Techniques and Applications (37 papers) and Software Reliability and Analysis Research (17 papers). Szu Hui Ng is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (45 papers), Simulation Techniques and Applications (37 papers) and Software Reliability and Analysis Research (17 papers). Szu Hui Ng collaborates with scholars based in Singapore, United States and China. Szu Hui Ng's co-authors include Min Xie, Loo Hay Lee, Yan‐Fu Li, Jun Yuan, T.N. Goh, Stephen E. Chick, Qiang Meng, Jun Yin, Xiang Li and Kien Ming Ng and has published in prestigious journals such as Applied Energy, European Journal of Operational Research and Energy Policy.

In The Last Decade

Szu Hui Ng

96 papers receiving 1.6k citations

Peers

Szu Hui Ng
Comparison fields: 5 of 110
  • Management Science and Operations Research 441
  • Environmental Engineering 390
  • Computational Theory and Mathematics 373
  • Software 368
  • Industrial and Manufacturing Engineering 312
Daniel DeLaurentis United States
Marvin Rausand Norway
Zhigeng Fang China
Jian-Bo Yang United Kingdom
K. Ponnambalam Canada
Kuei‐Hu Chang Taiwan
Abu S. M. Masud United States
İ. Kuban Altınel Türkiye
Pratyush Sen United Kingdom
Gerald J. Lieberman United States
Daniel DeLaurentis United States View profile →
Citations per field, relative to Szu Hui Ng
Szu Hui Ng · 1×
Citations per year, relative to Szu Hui Ng
Szu Hui Ng · 1×

Countries citing papers authored by Szu Hui Ng

Since Specialization
Citations

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

Fields of papers citing papers by Szu Hui Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Szu Hui Ng. 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 Szu Hui Ng. The network helps show where Szu Hui Ng may publish in the future.

Co-authorship network of co-authors of Szu Hui Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Szu Hui Ng. A scholar is included among the top collaborators of Szu Hui Ng 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 Szu Hui Ng. Szu Hui Ng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 26
4 5
5 1
6 3
7 2
8 6
9 1
10 4
11
False targets vs. protection in defending parallel systems against unintentional and intentional impacts
2
12 4
13 2
14 65
15 17
16 12
17 11
18 3
19 7
20
Sensitivity and uncertainty analysis of complex simulation models.
2

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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