Dudy Lim
Impact in
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- Advanced Multi-Objective Optimization Algorithms
- Artificial Intelligence top 2%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
Papers in
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- Advanced Multi-Objective Optimization Algorithms 9
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- Metaheuristic Optimization Algorithms Research 6
- Evolutionary Algorithms and Applications 5
- Machine Learning and ELM 2
- Co-authors
- Yew-Soon Ong (10 shared papers)Bernhard Sendhoff (6 shared papers)Yaochu Jin (6 shared papers)Bu‐Sung Lee (3 shared papers)Minh Nguyen (1 shared paper)Muhammad Idris (1 shared paper)
In The Last Decade
Dudy Lim
10 papers receiving 789 citations
Dudy Lim's Hit Papers
Peers
Comparison fields: 5 of 71
- Computational Theory and Mathematics 555
- Artificial Intelligence 536
- Statistics, Probability and Uncertainty 66
- Management Science and Operations Research 104
- Industrial and Manufacturing Engineering 54
Countries citing papers authored by Dudy Lim
This map shows the geographic impact of Dudy Lim'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 Dudy Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dudy Lim more than expected).
Fields of papers citing papers by Dudy Lim
This network shows the impact of papers produced by Dudy Lim. 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 Dudy Lim. The network helps show where Dudy Lim may publish in the future.
Co-authors
The 6 scholars most cited alongside Dudy Lim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Generalizing Surrogate-Assisted Evolutionary Computation Hit paper breakdown → | 2009 | 366 |
| 2 | 2006 | 138 | |
| 3 | 2005 | 113 | |
| 4 | 2007 | 84 | |
| 5 | 2006 | 36 | |
| 6 | 2006 | 31 | |
| 7 | 2005 | 22 | |
| 8 | 2006 | 12 | |
| 9 | 2010 | 8 | |
| 10 | A Study on Metamodeling Techniques, Ensembles, and Multi-Surrogates in Surrogate-Assisted Memetic Algorithms | 2007 | 4 |
About Dudy Lim
Dudy Lim is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Management Science and Operations Research, Statistics, Probability and Uncertainty and Computer Networks and Communications, having authored 10 papers that have together received 814 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (9 papers), Metaheuristic Optimization Algorithms Research (6 papers), Evolutionary Algorithms and Applications (5 papers), Probabilistic and Robust Engineering Design (2 papers), Optimal Experimental Design Methods (2 papers), Machine Learning and ELM (2 papers), Image Processing Techniques and Applications (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Computational Theory and Mathematics (555 citations), Artificial Intelligence (536 citations), Statistics, Probability and Uncertainty (66 citations), Management Science and Operations Research (104 citations) and Industrial and Manufacturing Engineering (54 citations). Dudy Lim has collaborated with scholars based in Singapore, Germany and Japan. Frequent co-authors include Yew-Soon Ong, Bernhard Sendhoff, Yaochu Jin, Bu‐Sung Lee, Minh Nguyen and Muhammad Idris. Their work appears in journals such as Genetic Programming and Evolvable Machines, IEEE Transactions on Evolutionary Computation, Future Generation Computer Systems and View.
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.