Gary G. Yen
- Artificial Intelligence top 0.05%
- Computational Theory and Mathematics top 0.02%
- Computer Vision and Pattern Recognition top 0.5%
- Control and Systems Engineering top 0.5%
- Electrical and Electronic Engineering top 5%
- Co-authors
- Zhenan HeYanan SunBing XueMengjie ZhangSidney A. MorrisFrancisco Erivaldo FernandesHaiming LuM. L. Goldstein
- Topics
- Metaheuristic Optimization Algorithms Research (138 papers)Advanced Multi-Objective Optimization Algorithms (124 papers)Evolutionary Algorithms and Applications (88 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceComputer Vision and Pattern Recognition
- Journals
- Proceedings of the National Academy of SciencesIEEE Transactions on Industrial ElectronicsJournal of Medicinal Chemistry
- Partner nations
- United StatesChinaNew Zealand
In The Last Decade
Gary G. Yen
305 papers receiving 11.7k citations
Hit Papers
Peers
Comparison fields: 5 of 196
- Artificial Intelligence 7.4k
- Computational Theory and Mathematics 5.2k
- Computer Vision and Pattern Recognition 1.7k
- Control and Systems Engineering 1.6k
- Electrical and Electronic Engineering 888
Countries citing papers authored by Gary G. Yen
This map shows the geographic impact of Gary G. Yen'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 Gary G. Yen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary G. Yen more than expected).
Fields of papers citing papers by Gary G. Yen
This network shows the impact of papers produced by Gary G. Yen. 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 Gary G. Yen. The network helps show where Gary G. Yen may publish in the future.
Co-authorship network of co-authors of Gary G. Yen
This figure shows the co-authorship network connecting the top 25 collaborators of Gary G. Yen. A scholar is included among the top collaborators of Gary G. Yen 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 Gary G. Yen. Gary G. Yen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 7 | |
| 14 | 17 | |
| 15 | 5 | |
| 16 | 36 | |
| 17 | 44 | |
| 18 | 15 | |
| 19 | 5 | |
| 20 | Fitting to the Power-Law Distribution | 10 |
About Gary G. Yen
Gary G. Yen is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Control and Systems Engineering, having authored 316 papers that have together received 12.1k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (138 papers), Advanced Multi-Objective Optimization Algorithms (124 papers) and Evolutionary Algorithms and Applications (88 papers). The work is most often cited by research in Computational Theory and Mathematics (5.2k citations), Artificial Intelligence (7.4k citations) and Computer Vision and Pattern Recognition (1.7k citations). Gary G. Yen has collaborated with scholars based in United States, China and New Zealand. Frequent co-authors include Zhenan He, Yanan Sun, Bing Xue, Mengjie Zhang, Sidney A. Morris, Francisco Erivaldo Fernandes, Haiming Lu, M. L. Goldstein, Min Jiang and Wang Hu. Their work appears in journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Industrial Electronics and Journal of Medicinal Chemistry.
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.