Anh Tran
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- Probabilistic and Robust Engineering Design 11
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- Advanced Multi-Objective Optimization Algorithms 11
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- Optimal Experimental Design Methods 4
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- Gaussian Processes and Bayesian Inference 5
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- Model Reduction and Neural Networks 4
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- Microstructure and mechanical properties 4
- Machine Learning in Materials Science 3
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- Metallurgy and Material Forming 4
- Co-authors
- Yan WangTimothy WildeyScott McCannRobert VisintainerKrishnan V. PagalthivarthiHojun LimHoang TranMinh–Triet Tran
- Cited by
- Statistics, Probability and UncertaintyComputational Theory and MathematicsManagement Science and Operations Research
- Journals
- Acta Materialia (3 papers)Computer Methods in Applied Mechanics and Engineering (1 paper)Mechanical Systems and Signal Processing (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Anh Tran
31 papers receiving 447 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Statistics, Probability and Uncertainty 96
- Computational Theory and Mathematics 112
- Management Science and Operations Research 56
- Ecological Modeling 14
- Industrial and Manufacturing Engineering 31
Countries citing papers authored by Anh Tran
This map shows the geographic impact of Anh Tran'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 Anh Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anh Tran more than expected).
Fields of papers citing papers by Anh Tran
This network shows the impact of papers produced by Anh Tran. 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 Anh Tran. The network helps show where Anh Tran may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anh Tran, 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 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 10 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 1 | |
| 9 | Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorialbreakdown → | 2023 | 103 |
| 10 | 2022 | 2 | |
| 11 | 2022 | 0 | |
| 12 | 2021 | 7 | |
| 13 | 2021 | 4 | |
| 14 | Multiscale stochastic reduced-order model for uncertainty propagation using Fokker-Planck equation with microstructure evolution applications. | 2020 | 1 |
| 15 | 2019 | 11 | |
| 16 | 2019 | 23 | |
| 17 | 2019 | 48 | |
| 18 | 2019 | 9 | |
| 19 | 2017 | 12 | |
| 20 | 2016 | 14 |
About Anh Tran
Anh Tran is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 35 papers that have together received 457 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (11 papers), Probabilistic and Robust Engineering Design (11 papers), Gaussian Processes and Bayesian Inference (5 papers), Model Reduction and Neural Networks (4 papers), Microstructure and mechanical properties (4 papers), Metallurgy and Material Forming (4 papers), Optimal Experimental Design Methods (4 papers) and Machine Learning in Materials Science (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (96 citations), Computational Theory and Mathematics (112 citations) and Management Science and Operations Research (56 citations). Anh Tran has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Yan Wang, Timothy Wildey, Scott McCann, Robert Visintainer, Krishnan V. Pagalthivarthi, Hojun Lim, Hoang Tran, Minh–Triet Tran, Olga Fink and Xiaoge Zhang. Their work appears in journals such as Acta Materialia, Computer Methods in Applied Mechanics and Engineering and Mechanical Systems and Signal Processing.
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.