Kien Do
Impact in
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- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
- Advanced Graph Neural Networks
- Adversarial Robustness in Machine Learning
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- Multimodal Machine Learning Applications
- Face and Expression Recognition
Papers in
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- Domain Adaptation and Few-Shot Learning 5
- Topic Modeling 4
- Adversarial Robustness in Machine Learning 3
- Anomaly Detection Techniques and Applications 2
- Natural Language Processing Techniques 2
- Advanced Graph Neural Networks 2
- Machine Learning and Algorithms 2
- Co-authors
- Svetha Venkatesh (8 shared papers)Truyen Tran (7 shared papers)Thin Nguyen (5 shared papers)Toan Nguyen (3 shared papers)Bac Le (1 shared paper)Khoat Than (1 shared paper)Duc Thanh Nguyen (1 shared paper)Yang-Wai Chow (1 shared paper)
- Journals
- Pattern Recognition Letters (1 paper)Machine Learning (1 paper)Expert Systems with Applications (1 paper)Knowledge and Information Systems (1 paper)Research Online (University of Wollongong) (1 paper)
In The Last Decade
Kien Do
13 papers receiving 64 citations
Peers
Comparison fields: 5 of 35
- Artificial Intelligence 52
- Computer Vision and Pattern Recognition 22
- Signal Processing 6
- Computer Networks and Communications 12
- Statistical and Nonlinear Physics 6
Countries citing papers authored by Kien Do
This map shows the geographic impact of Kien Do'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 Kien Do with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kien Do more than expected).
Fields of papers citing papers by Kien Do
This network shows the impact of papers produced by Kien Do. 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 Kien Do. The network helps show where Kien Do may publish in the future.
Co-authors
The 15 scholars most cited alongside Kien Do, 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 | 2018 | 16 | |
| 2 | 2019 | 13 | |
| 3 | 2024 | 10 | |
| 4 | 2023 | 7 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 3 | |
| 8 | Theory and Evaluation Metrics for Learning Disentangled Representations | 2020 | 2 |
| 9 | 2024 | 2 | |
| 10 | 2021 | 2 | |
| 11 | Matrix-centric Neural Networks. | 2017 | 1 |
| 12 | 2023 | 1 | |
| 13 | 2021 | 1 |
About Kien Do
Kien Do is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications and Information Systems, having authored 13 papers that have together received 65 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (5 papers), Topic Modeling (4 papers), Adversarial Robustness in Machine Learning (3 papers), Anomaly Detection Techniques and Applications (2 papers), Natural Language Processing Techniques (2 papers), Advanced Graph Neural Networks (2 papers), Machine Learning and Algorithms (2 papers) and Network Security and Intrusion Detection (1 paper). The work is most often cited by research in Artificial Intelligence (52 citations), Computer Vision and Pattern Recognition (22 citations), Signal Processing (6 citations), Computer Networks and Communications (12 citations) and Statistical and Nonlinear Physics (6 citations). Kien Do has collaborated with scholars based in Australia, Vietnam and Denmark. Frequent co-authors include Svetha Venkatesh, Truyen Tran, Thin Nguyen, Toan Nguyen, Bac Le, Khoat Than, Duc Thanh Nguyen, Yang-Wai Chow, Tung Kieu and Truong V. Vu. Their work appears in journals such as Pattern Recognition Letters, Machine Learning, Expert Systems with Applications, Knowledge and Information Systems and Research Online (University of Wollongong).
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.