Y.-T. Lai
Impact in
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- VLSI and Analog Circuit Testing
- Parallel Computing and Optimization Techniques
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- Image and Object Detection Techniques
- Graph Theory and Algorithms
Papers in
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- Particle physics theoretical and experimental studies 4
- Particle Detector Development and Performance 4
- Quantum Chromodynamics and Particle Interactions 1
- High-Energy Particle Collisions Research 1
- Astrophysics and Cosmic Phenomena 1
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- Radiation Detection and Scintillator Technologies 2
- Co-authors
- S. Korpar (1 shared paper)S. Nishida (1 shared paper)R. Giordano (1 shared paper)Jürgen Becker (1 shared paper)K. Unger (3 shared papers)M. Shoji (1 shared paper)L. Šantelj (1 shared paper)R. Pestotnik (1 shared paper)
- Journals
- IEEE Transactions on Nuclear Science (1 paper)Journal of Physics Conference Series (1 paper)Repository KITopen (Karlsruhe Institute of Technology) (1 paper)DESY (CERN, DESY, Fermilab, IHEP, and SLAC) (1 paper)Institutional Repositories DataBase (IRDB) (1 paper)
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
- Radiation 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 21 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 | 2022 | 0 |
About Y.-T. Lai
Y.-T. Lai is a scholar working on Nuclear and High Energy Physics, Radiation, Computer Networks and Communications, Electrical and Electronic Engineering and Infectious Diseases, having authored 5 papers that have together received 8 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (4 papers), Particle Detector Development and Performance (4 papers), Radiation Detection and Scintillator Technologies (2 papers), Radiation Effects in Electronics (1 paper), Quantum Chromodynamics and Particle Interactions (1 paper), Advanced Data Storage Technologies (1 paper), High-Energy Particle Collisions Research (1 paper) and Astrophysics and Cosmic Phenomena (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 Radiation (1 citation). Y.-T. Lai has collaborated with scholars based in Japan, Germany and Taiwan. Frequent co-authors include S. Korpar, S. Nishida, R. Giordano, Jürgen Becker, K. Unger, M. Shoji, L. Šantelj, R. Pestotnik, M.-C. Chang and F. Meggendorfer. Their work appears in journals such as IEEE Transactions on Nuclear Science, Journal of Physics Conference Series, Repository KITopen (Karlsruhe Institute of Technology), DESY (CERN, DESY, Fermilab, IHEP, and SLAC) and Institutional Repositories DataBase (IRDB).
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.