Truyen Tran
- Health Informatics top 0.5%
- Health Information Management top 0.2%
- Software top 2%
- Software Reliability and Analysis Research 7
- Artificial Intelligence top 1%
- Domain Adaptation and Few-Shot Learning 11
- Topic Modeling 10
- Machine Learning in Healthcare 6
- Computational Mathematics top 5%
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- Generative Adversarial Networks and Image Synthesis 11
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- Software Engineering Research 10
- Software Engineering Techniques and Practices 6
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- Machine Learning in Materials Science 7
- Co-authors
- Svetha VenkateshDinh PhungTrang PhamWei LuoMichael BerkSunil GuptaHoa Khanh DamSantu Rana
- Partner nations
- AustraliaUnited StatesJapan
In The Last Decade
Truyen Tran
94 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 188
- Health Informatics 175
- Health Information Management 409
- Software 225
- Artificial Intelligence 1.2k
- Computational Mathematics 21
Countries citing papers authored by Truyen Tran
This map shows the geographic impact of Truyen 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 Truyen Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Truyen Tran more than expected).
Fields of papers citing papers by Truyen Tran
This network shows the impact of papers produced by Truyen 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 Truyen Tran. The network helps show where Truyen Tran may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Truyen 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 23 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 4 | |
| 9 | Self-Attentive Associative Memory | 2020 | 2 |
| 10 | Theory and Evaluation Metrics for Learning Disentangled Representations | 2020 | 2 |
| 11 | 2019 | 210 | |
| 12 | Learning to Remember More with Less Memorization | 2019 | 4 |
| 13 | 2019 | 13 | |
| 14 | On catastrophic forgetting in Generative Adversarial Networks | 2018 | 3 |
| 15 | 2018 | 4 | |
| 16 | Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary Viewbreakdown → | 2016 | 695 |
| 17 | A deep language model for software code | 2016 | 9 |
| 18 | 2014 | 83 | |
| 19 | Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine | 2013 | 17 |
| 20 | Learning From Ordered Sets and Applications in Collaborative Ranking | 2012 | 3 |
About Truyen Tran
Truyen Tran is a scholar working on Software, Computational Mathematics and Artificial Intelligence, having authored 101 papers that have together received 3.3k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (11 papers), Generative Adversarial Networks and Image Synthesis (11 papers), Software Engineering Research (10 papers), Topic Modeling (10 papers), Machine Learning in Materials Science (7 papers), Software Reliability and Analysis Research (7 papers), Machine Learning in Healthcare (6 papers) and Software Engineering Techniques and Practices (6 papers). The work is most often cited by research in Health Informatics (175 citations), Health Information Management (409 citations) and Software (225 citations). Truyen Tran has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Svetha Venkatesh, Dinh Phung, Trang Pham, Wei Luo, Michael Berk, Sunil Gupta, Hoa Khanh Dam, Santu Rana, Aditya Ghose and Chandan Karmakar. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Water Research.
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.