C. Devon Lin
Impact in
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- Optimal Experimental Design Methods
- Simulation Techniques and Applications
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Advanced Multi-Objective Optimization Algorithms 16
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- Optimal Experimental Design Methods 14
- Co-authors
- Xinwei Deng (4 shared papers)Derek Bingham (2 shared papers)R. Kerry Rowe (1 shared paper)R. R. Sitter (4 shared papers)Ying Hung (1 shared paper)Michael S. Hamada (1 shared paper)Leslie M. Moore (1 shared paper)Christine M. Anderson‐Cook (1 shared paper)
- Journals
- Statistica Sinica (4 papers)Journal of Statistical Planning and Inference (3 papers)Technometrics (2 papers)Canadian Journal of Statistics (1 paper)Bernoulli (1 paper)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
C. Devon Lin
21 papers receiving 230 citations
Peers
Comparison fields: 5 of 58
- Management Science and Operations Research 156
- Computational Theory and Mathematics 163
- Statistics, Probability and Uncertainty 56
- Industrial and Manufacturing Engineering 34
- Statistics and Probability 22
Countries citing papers authored by C. Devon Lin
This map shows the geographic impact of C. Devon Lin'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 C. Devon Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Devon Lin more than expected).
Fields of papers citing papers by C. Devon Lin
This network shows the impact of papers produced by C. Devon Lin. 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 C. Devon Lin. The network helps show where C. Devon Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Devon Lin, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 51 | |
| 2 | 2014 | 47 | |
| 3 | A NEW AND FLEXIBLE METHOD FOR CONSTRUCTING DESIGNS FOR COMPUTER EXPERIMENTS | 2016 | 40 |
| 4 | 2014 | 26 | |
| 5 | 2012 | 20 | |
| 6 | 2015 | 8 | |
| 7 | 2017 | 8 | |
| 8 | 2021 | 6 | |
| 9 | 2017 | 6 | |
| 10 | 2019 | 6 | |
| 11 | 2012 | 5 | |
| 12 | 2019 | 4 | |
| 13 | 2017 | 2 | |
| 14 | 2013 | 2 | |
| 15 | 2019 | 2 | |
| 16 | 2011 | 2 | |
| 17 | 2006 | 2 | |
| 18 | 2019 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2022 | 1 |
About C. Devon Lin
C. Devon Lin is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research, Artificial Intelligence, Statistics, Probability and Uncertainty and Statistics and Probability, having authored 22 papers that have together received 242 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (16 papers), Optimal Experimental Design Methods (14 papers), Probabilistic and Robust Engineering Design (5 papers), Manufacturing Process and Optimization (3 papers), Gaussian Processes and Bayesian Inference (3 papers), VLSI and FPGA Design Techniques (2 papers), Evolutionary Algorithms and Applications (2 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Management Science and Operations Research (156 citations), Computational Theory and Mathematics (163 citations), Statistics, Probability and Uncertainty (56 citations), Industrial and Manufacturing Engineering (34 citations) and Statistics and Probability (22 citations). C. Devon Lin has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Xinwei Deng, Derek Bingham, R. Kerry Rowe, R. R. Sitter, Ying Hung, Michael S. Hamada, Leslie M. Moore, Christine M. Anderson‐Cook, Fasheng Sun and Yuanzhen He. Their work appears in journals such as Statistica Sinica, Journal of Statistical Planning and Inference, Technometrics, Canadian Journal of Statistics and Bernoulli.
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.