G. Gary Wang

30 papers receiving 3.0k citations

Hit Papers

Review of Metamodeling Techniques in Support of Engineeri...200620262012201920064008001.2k

Peers

G. Gary Wang
Comparison fields: 5 of 124
  • Computational Theory and Mathematics 1.6k
  • Statistics, Probability and Uncertainty 1.0k
  • Management Science and Operations Research 677
  • Mechanical Engineering 651
  • Industrial and Manufacturing Engineering 526
Replace Patrick Koch with:
Patrick Koch United States
Ruichen Jin United States
R. J. Yang United States
Zhen Hu United States
Ikjin Lee South Korea
Qi Zhou China
Michael Kokkolaras United States
S. Shan Canada
Michel van Tooren Netherlands
Sujin Bureerat Thailand
G. Gary Wang relative to Patrick Koch United States Patrick Koch's profile →
Citations per field
00.5×1.6×
Patrick Koch · 1×
Citations per year

Countries citing papers authored by G. Gary Wang

Since Specialization
Citations

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

Fields of papers citing papers by G. Gary Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Gary Wang. 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 G. Gary Wang. The network helps show where G. Gary Wang may publish in the future.

Co-authorship network of co-authors of G. Gary Wang

This figure shows the co-authorship network connecting the top 25 collaborators of G. Gary Wang. A scholar is included among the top collaborators of G. Gary Wang 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 G. Gary Wang. G. Gary Wang 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
#WorkIndexed citations
1 0
2 44
3 25
4 1
5 164
6 26
7 73
8 17
9 2
10 21
11 25
12 5
13 1
14
Bringing Games into the Classroom in Teaching Quality Control
15
15 9
16 419
17 7
18 3
19 185
20 6

About G. Gary Wang

G. Gary Wang is a scholar working on Industrial and Manufacturing Engineering, Statistics, Probability and Uncertainty and Computational Theory and Mathematics, having authored 31 papers that have together received 3.1k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (15 papers), Manufacturing Process and Optimization (15 papers) and Probabilistic and Robust Engineering Design (9 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.0k citations), Computational Theory and Mathematics (1.6k citations) and Management Science and Operations Research (677 citations). G. Gary Wang has collaborated with scholars based in Canada, United States and China. Frequent co-authors include S. Shan, Songqing Shan, Zuomin Dong, P. W. Aitchison, Liqun Wang, Timothy W. Simpson, Tarek Y. ElMekkawy, G.F. Naterer, Li Ma and Zhaokui Li. Their work appears in journals such as International Journal of Machine Tools and Manufacture, Reliability Engineering & System Safety and SAE technical papers on CD-ROM/SAE technical paper series.

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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