G. Gary Wang
Impact in
- Computational Theory and Mathematics top 0.5%
- Advanced Multi-Objective Optimization Algorithms
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- Probabilistic and Robust Engineering Design
Papers in
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- Advanced Multi-Objective Optimization Algorithms 36
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- Metaheuristic Optimization Algorithms Research 19
- Evolutionary Algorithms and Applications 10
- Co-authors
- Songqing Shan (6 shared papers)Shahryar Rahnamayan (7 shared papers)Erik Kjeang (7 shared papers)Ramin M.H. Khorasany (4 shared papers)Alireza Sadeghi Alavijeh (3 shared papers)Baowei Song (1 shared paper)Peng Wang (1 shared paper)Xinjing Wang (1 shared paper)
In The Last Decade
G. Gary Wang
73 papers receiving 2.3k citations
G. Gary Wang's Hit Papers
Peers
Comparison fields: 5 of 114
- Computational Theory and Mathematics 985
- Statistics, Probability and Uncertainty 393
- Industrial and Manufacturing Engineering 263
- Automotive Engineering 286
- Management Science and Operations Research 292
Countries citing papers authored by G. Gary Wang
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
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-authors
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.
All Works
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Survey of modeling and optimization strategies to solve high-dimensional design problems with computationally-expensive black-box functions Hit paper breakdown → | 2009 | 466 |
| 2 | 2010 | 154 | |
| 3 | 2019 | 143 | |
| 4 | 2017 | 103 | |
| 5 | 2012 | 99 | |
| 6 | 2015 | 92 | |
| 7 | 2018 | 76 | |
| 8 | 2015 | 76 | |
| 9 | 2020 | 71 | |
| 10 | 2013 | 66 | |
| 11 | 2008 | 64 | |
| 12 | 2013 | 62 | |
| 13 | 2016 | 58 | |
| 14 | 2016 | 50 | |
| 15 | 2012 | 50 | |
| 16 | 2015 | 49 | |
| 17 | 2014 | 46 | |
| 18 | 2019 | 37 | |
| 19 | 2011 | 34 | |
| 20 | 2019 | 31 |
About G. Gary Wang
G. Gary Wang is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Mechanical Engineering, Electrical and Electronic Engineering and Statistics, Probability and Uncertainty, having authored 74 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), Design Education and Practice (6 papers) and Fuel Cells and Related Materials (6 papers). The work is most often cited by research in Computational Theory and Mathematics (985 citations), Statistics, Probability and Uncertainty (393 citations), Industrial and Manufacturing Engineering (263 citations), Automotive Engineering (286 citations) and Management Science and Operations Research (292 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, Alireza Sadeghi Alavijeh, Baowei Song, Peng Wang, Xinjing Wang, Michael Lauritzen and Payman Jula. Their work appears in journals such as Journal of Mechanical Design, Engineering Optimization, Journal of Power Sources, Structural and Multidisciplinary Optimization 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.