Y.-T. Lai
Impact in
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- Parallel Computing and Optimization Techniques
- VLSI and Analog Circuit Testing
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- Image and Object Detection Techniques
- Graph Theory and Algorithms
Papers in
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- Particle Detector Development and Performance 3
- Particle physics theoretical and experimental studies 3
- Quantum Chromodynamics and Particle Interactions 1
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- Optical Systems and Laser Technology 1
- Co-authors
- L. Šantelj (1 shared paper)Kyung‐Tae Kim (1 shared paper)Jürgen Becker (1 shared paper)R. Giordano (1 shared paper)M. Shoji (1 shared paper)K. Unger (2 shared papers)R. Pestotnik (1 shared paper)S. Nishida (1 shared paper)
- Journals
- IEEE Access (1 paper)IEEE Transactions on Nuclear Science (1 paper)Results in Optics (1 paper)Repository KITopen (Karlsruhe Institute of Technology) (1 paper)
- Partner nations
- TaiwanJapanSouth Korea
In The Last Decade
Y.-T. Lai
3 papers receiving 8 citations
Peers
Comparison fields: 5 of 11
- Hardware and Architecture 4
- Computer Vision and Pattern Recognition 4
- Nuclear and High Energy Physics 2
- Statistics, Probability and Uncertainty 1
- Media Technology 1
Countries citing papers authored by Y.-T. Lai
This map shows the geographic impact of Y.-T. Lai'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 Y.-T. Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y.-T. Lai more than expected).
Fields of papers citing papers by Y.-T. Lai
This network shows the impact of papers produced by Y.-T. Lai. 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 Y.-T. Lai. The network helps show where Y.-T. Lai may publish in the future.
Co-authors
The 22 scholars most cited alongside Y.-T. Lai, 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 | 2021 | 4 | |
| 2 | 2020 | 3 | |
| 3 | 2018 | 1 | |
| 4 | 2017 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 |
About Y.-T. Lai
Y.-T. Lai is a scholar working on Nuclear and High Energy Physics, Electrical and Electronic Engineering, Radiation, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 6 papers that have together received 8 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (3 papers), Particle physics theoretical and experimental studies (3 papers), Radiation Detection and Scintillator Technologies (2 papers), Quantum Chromodynamics and Particle Interactions (1 paper), Optical Systems and Laser Technology (1 paper), Advanced Measurement and Metrology Techniques (1 paper), Optical measurement and interference techniques (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Hardware and Architecture (4 citations), Computer Vision and Pattern Recognition (4 citations), Nuclear and High Energy Physics (2 citations), Statistics, Probability and Uncertainty (1 citation) and Media Technology (1 citation). Y.-T. Lai has collaborated with scholars based in Taiwan, Japan and South Korea. Frequent co-authors include L. Šantelj, Kyung‐Tae Kim, Jürgen Becker, R. Giordano, M. Shoji, K. Unger, R. Pestotnik, S. Nishida, S. Korpar and S. Skambraks. Their work appears in journals such as IEEE Access, IEEE Transactions on Nuclear Science, Results in Optics and Repository KITopen (Karlsruhe Institute of Technology).
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.