Buu Phan
Impact in
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- Advanced Optical Sensing Technologies
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
Papers in
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- Advanced Neural Network Applications 2
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- Advanced Optical Sensing Technologies 1
- Co-authors
- Krzysztof Czarnecki (3 shared papers)Rick Salay (3 shared papers)Felix Heide (2 shared papers)Fahim Mannan (2 shared papers)Klaus Dietmayer (1 shared paper)Bernhard Sick (1 shared paper)Juergen Dickmann (1 shared paper)Nils Appenrodt (1 shared paper)
- Journals
- Lecture notes in computer science (1 paper)IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings (2 papers)Biennial Symposium on Communications (1 paper)IEEE Intelligent Vehicles Symposium (1 paper)IEEE International Symposium on Information Theory (ISIT) (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Buu Phan
7 papers receiving 219 citations
Peers
Comparison fields: 5 of 33
- Instrumentation 20
- Automotive Engineering 59
- Safety, Risk, Reliability and Quality 48
- Aerospace Engineering 68
- Acoustics and Ultrasonics 3
Countries citing papers authored by Buu Phan
This map shows the geographic impact of Buu Phan'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 Buu Phan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Buu Phan more than expected).
Fields of papers citing papers by Buu Phan
This network shows the impact of papers produced by Buu Phan. 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 Buu Phan. The network helps show where Buu Phan may publish in the future.
Co-authors
The 14 scholars most cited alongside Buu Phan, 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 | 2020 | 111 | |
| 2 | 2018 | 63 | |
| 3 | ProcSy: Procedural Synthetic Dataset Generation Towards Influence Factor Studies Of Semantic Segmentation Networks | 2019 | 19 |
| 4 | 2021 | 19 | |
| 5 | 2019 | 12 | |
| 6 | 2023 | 4 | |
| 7 | 2026 | 1 |
About Buu Phan
Buu Phan is a scholar working on Computer Vision and Pattern Recognition, Instrumentation, Artificial Intelligence, Safety, Risk, Reliability and Quality and Computer Networks and Communications, having authored 7 papers that have together received 229 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (2 papers), Advanced Neural Network Applications (2 papers), Cooperative Communication and Network Coding (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), Advanced Optical Sensing Technologies (1 paper), Radar Systems and Signal Processing (1 paper), Safety Systems Engineering in Autonomy (1 paper) and Error Correcting Code Techniques (1 paper). The work is most often cited by research in Instrumentation (20 citations), Automotive Engineering (59 citations), Safety, Risk, Reliability and Quality (48 citations), Aerospace Engineering (68 citations) and Acoustics and Ultrasonics (3 citations). Buu Phan has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Krzysztof Czarnecki, Rick Salay, Felix Heide, Fahim Mannan, Klaus Dietmayer, Bernhard Sick, Juergen Dickmann, Nils Appenrodt, Fangyin Wei and Nicolas Scheiner. Their work appears in journals such as Lecture notes in computer science, IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings, Biennial Symposium on Communications, IEEE Intelligent Vehicles Symposium and IEEE International Symposium on Information Theory (ISIT).
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.