Lam Thu Bui
Impact in
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- Advanced Multi-Objective Optimization Algorithms
- Software top 5%
- Software Reliability and Analysis Research
Papers in
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- Metaheuristic Optimization Algorithms Research 34
- Evolutionary Algorithms and Applications 26
- Reinforcement Learning in Robotics 3
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- Advanced Multi-Objective Optimization Algorithms 37
- Co-authors
- Hussein A. Abbass (23 shared papers)Anh Viet Phan (5 shared papers)Le-Minh Nguyen (4 shared papers)Daryl Essam (5 shared papers)Sameer Alam (3 shared papers)Zbigniew Michalewicz (5 shared papers)Michael Barlow (5 shared papers)Cao Truong Tran (7 shared papers)
In The Last Decade
Lam Thu Bui
62 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 103
- Computational Theory and Mathematics 418
- Software 75
- Artificial Intelligence 556
- Geology 66
- Management Science and Operations Research 119
Countries citing papers authored by Lam Thu Bui
This map shows the geographic impact of Lam Thu Bui'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 Lam Thu Bui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lam Thu Bui more than expected).
Fields of papers citing papers by Lam Thu Bui
This network shows the impact of papers produced by Lam Thu Bui. 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 Lam Thu Bui. The network helps show where Lam Thu Bui may publish in the future.
Co-authors
The 25 scholars most cited alongside Lam Thu Bui, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 172 | |
| 2 | 2016 | 102 | |
| 3 | 2005 | 96 | |
| 4 | 2017 | 77 | |
| 5 | 2008 | 55 | |
| 6 | 2005 | 54 | |
| 7 | 2011 | 46 | |
| 8 | 2017 | 41 | |
| 9 | 2018 | 36 | |
| 10 | 2010 | 36 | |
| 11 | 2009 | 26 | |
| 12 | Performance analysis of evolutionary multi-objective optimization methods in noisy environments | 2004 | 26 |
| 13 | 2011 | 26 | |
| 14 | 2018 | 24 | |
| 15 | 2020 | 21 | |
| 16 | 2011 | 18 | |
| 17 | 2007 | 16 | |
| 18 | 2005 | 15 | |
| 19 | 2013 | 13 | |
| 20 | 2017 | 13 |
About Lam Thu Bui
Lam Thu Bui is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Computer Networks and Communications and Information Systems, having authored 69 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (37 papers), Metaheuristic Optimization Algorithms Research (34 papers), Evolutionary Algorithms and Applications (26 papers), Resource-Constrained Project Scheduling (6 papers), Software Engineering Research (4 papers), Data Mining Algorithms and Applications (4 papers), Advanced Optical Network Technologies (3 papers) and Reinforcement Learning in Robotics (3 papers). The work is most often cited by research in Computational Theory and Mathematics (418 citations), Software (75 citations), Artificial Intelligence (556 citations), Geology (66 citations) and Management Science and Operations Research (119 citations). Lam Thu Bui has collaborated with scholars based in Vietnam, Australia and Japan. Frequent co-authors include Hussein A. Abbass, Anh Viet Phan, Le-Minh Nguyen, Daryl Essam, Sameer Alam, Zbigniew Michalewicz, Michael Barlow, Cao Truong Tran, Axel Bender and Peter Andreae. Their work appears in journals such as Data & Knowledge Engineering, Soft Computing, Evolutionary Intelligence, Memetic Computing 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.