Amos H.C. Ng

3.1k total citations
161 papers, 2.1k citations indexed

About

Amos H.C. Ng is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Amos H.C. Ng has authored 161 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Industrial and Manufacturing Engineering, 56 papers in Management Science and Operations Research and 36 papers in Computational Theory and Mathematics. Recurrent topics in Amos H.C. Ng's work include Manufacturing Process and Optimization (59 papers), Scheduling and Optimization Algorithms (55 papers) and Simulation Techniques and Applications (45 papers). Amos H.C. Ng is often cited by papers focused on Manufacturing Process and Optimization (59 papers), Scheduling and Optimization Algorithms (55 papers) and Simulation Techniques and Applications (45 papers). Amos H.C. Ng collaborates with scholars based in Sweden, United States and United Kingdom. Amos H.C. Ng's co-authors include Sunith Bandaru, Kalyanmoy Deb, Matías Urenda Moris, Masood Fathi, Amir Nourmohammadi, Tehseen Aslam, Anna Syberfeldt, Lihui Wang, Philip Moore and Leo De Vin and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Amos H.C. Ng

151 papers receiving 2.0k citations

Peers

Amos H.C. Ng
Comparison fields: 5 of 117
  • Industrial and Manufacturing Engineering 1.1k
  • Computational Theory and Mathematics 366
  • Artificial Intelligence 346
  • Management Information Systems 301
  • Management Science and Operations Research 287
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Hesuan Hu China
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Citations per field, relative to Amos H.C. Ng
Amos H.C. Ng · 1×
Citations per year, relative to Amos H.C. Ng
Amos H.C. Ng · 1×

Countries citing papers authored by Amos H.C. Ng

Since Specialization
Citations

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

Fields of papers citing papers by Amos H.C. Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amos H.C. 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 Amos H.C. Ng. The network helps show where Amos H.C. Ng may publish in the future.

Co-authorship network of co-authors of Amos H.C. Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Amos H.C. Ng. A scholar is included among the top collaborators of Amos H.C. 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 Amos H.C. Ng. Amos H.C. 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 0
2 2
3 16
4 60
5 25
6 29
7 1
8 16
9
Dynamic Resampling for Preference-based Evolutionary Multi-Objective Optimization of Stochastic Systems
2
10 10
11 2
12 4
13
Diseño y análisis de sistemas productivos utilizando la optimización mediante simulación basada en internet
1
14 8
15
Web Services for Metamodel-Assisted Parallel Simulation Optimization
7
16 9
17
Metamodel-assisted Global Search Using a Probing Technique
2
18 1
19
Simulation-based optimisation using local search and neural network metamodels
3
20
Simulation-Based Multi-Objective Optimization of a Real-World Operation Scheduling Problem
0

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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