Yin-Te Tsai
- Artificial Intelligence top 10%
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- IoT and Edge/Fog Computing 4
- Distributed and Parallel Computing Systems 2
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- RNA and protein synthesis mechanisms 4
- RNA modifications and cancer 3
- Machine Learning in Bioinformatics 2
- Genomics and Phylogenetic Studies 2
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- IoT-based Smart Home Systems 3
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- Retinal and Macular Surgery 2
- Co-authors
- Yaw-Ling LinKuan‐Ching LiChih‐Hung ChangFang-Rong HsuChao‐Tung YangChing H. WuShau-Yin TsengWei-An Lin
- Partner nations
- TaiwanUnited StatesPoland
In The Last Decade
Yin-Te Tsai
25 papers receiving 215 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 92
- Computational Theory and Mathematics 39
- Hardware and Architecture 16
- Industrial and Manufacturing Engineering 18
- Human-Computer Interaction 8
Countries citing papers authored by Yin-Te Tsai
This map shows the geographic impact of Yin-Te Tsai'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 Yin-Te Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yin-Te Tsai more than expected).
Fields of papers citing papers by Yin-Te Tsai
This network shows the impact of papers produced by Yin-Te Tsai. 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 Yin-Te Tsai. The network helps show where Yin-Te Tsai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yin-Te Tsai, 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 | 2023 | 3 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 0 | |
| 4 | 2021 | 37 | |
| 5 | 2020 | 7 | |
| 6 | 2018 | 1 | |
| 7 | 2017 | 2 | |
| 8 | 2015 | 17 | |
| 9 | 2012 | 2 | |
| 10 | 2012 | 1 | |
| 11 | 2011 | 0 | |
| 12 | 2008 | 11 | |
| 13 | 2008 | 12 | |
| 14 | Toward Design of E-Learning Platform in Grid Environments. | 2006 | 1 |
| 15 | 2005 | 7 | |
| 16 | 2003 | 5 | |
| 17 | 2003 | 78 | |
| 18 | 2002 | 5 | |
| 19 | Constrained multiple sequence alignment tool development and its application to RNase family alignment. | 2002 | 6 |
| 20 | 2000 | 8 |
About Yin-Te Tsai
Yin-Te Tsai is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems and Management, having authored 27 papers that have together received 229 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (4 papers), RNA and protein synthesis mechanisms (4 papers), IoT-based Smart Home Systems (3 papers), RNA modifications and cancer (3 papers), Machine Learning in Bioinformatics (2 papers), Distributed and Parallel Computing Systems (2 papers), Retinal and Macular Surgery (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Artificial Intelligence (92 citations), Computational Theory and Mathematics (39 citations) and Hardware and Architecture (16 citations). Yin-Te Tsai has collaborated with scholars based in Taiwan, United States and Poland. Frequent co-authors include Yaw-Ling Lin, Kuan‐Ching Li, Chih‐Hung Chang, Fang-Rong Hsu, Chao‐Tung Yang, Ching H. Wu, Shau-Yin Tseng, Wei-An Lin, Chuan Yi Tang and Tsu‐Yi Hsieh. Their work appears in journals such as Information Sciences, Methods and Information Processing Letters.
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.