G. Gary Wang

2.9k citations
76 papers · 2.4k indexed · 1 hit paper · h-index 24

G. Gary Wang

74 papers receiving 2.3k citations

Hit Papers

Survey of modeling and optimization strategies to solve h...4622009202620142020100200300400

Peers

G. Gary Wang
Comparison fields: 5 of 116
  • Computational Theory and Mathematics 980
  • Statistics, Probability and Uncertainty 393
  • Industrial and Manufacturing Engineering 258
  • Automotive Engineering 283
  • Management Science and Operations Research 290
Replace Ikjin Lee with:
Ikjin Lee South Korea
Betül Sultan Yıldız Türkiye
Sadiq M. Sait Saudi Arabia
Zuomin Dong Canada
Michael Kokkolaras United States
R. J. Yang United States
Michel van Tooren Netherlands
Sumit Kumar Australia
Kuo-Hao Chang Taiwan
Robert H. Storer United States
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Citations per field
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Ikjin Lee · 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

The 25 scholars most cited alongside G. Gary Wang, 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 G. Gary Wang Line = papers co-authored together G. Gary Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20240
4 20235
5 202311
6 20234
7 202116
8 20194
9 201935
10 20181
11 201813
12 20164
13 201549
14 201423
15 20126
16 2010153
17
Toward effective initialization for large-scale search spaces
200917
18
Center-based initialization for large-scale black-box problems
20093
19 200919
20 200864

About G. Gary Wang

G. Gary Wang is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty, Industrial and Manufacturing Engineering, Management of Technology and Innovation and Management Science and Operations Research, having authored 76 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (36 papers), Metaheuristic Optimization Algorithms Research (19 papers), Probabilistic and Robust Engineering Design (12 papers), Manufacturing Process and Optimization (11 papers), Evolutionary Algorithms and Applications (10 papers), Product Development and Customization (8 papers), Fuel Cells and Related Materials (6 papers) and Design Education and Practice (6 papers). The work is most often cited by research in Computational Theory and Mathematics (980 citations), Statistics, Probability and Uncertainty (393 citations), Industrial and Manufacturing Engineering (258 citations), Automotive Engineering (283 citations) and Management Science and Operations Research (290 citations). G. Gary Wang has collaborated with scholars based in Canada, China and Finland. Frequent co-authors include Songqing Shan, Shahryar Rahnamayan, Erik Kjeang, Ramin M.H. Khorasany, Michael Lauritzen, Alireza Sadeghi Alavijeh, Xinjing Wang, Baowei Song, Peng Wang and Tarek Y. ElMekkawy. Their work appears in journals such as Journal of Mechanical Design, Engineering Optimization, Structural and Multidisciplinary Optimization, Journal of Power Sources and Applied Soft Computing.

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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