Yu‐Chong Tai
- Biomedical Engineering top 0.5%
- Microfluidic and Capillary Electrophoresis Applications 42
- Microfluidic and Bio-sensing Technologies 23
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- Neuroscience and Neural Engineering 93
- Photoreceptor and optogenetics research 25
- Bioengineering top 1%
- Analytical Chemistry and Sensors 20
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- Advanced MEMS and NEMS Technologies 47
- Advanced Memory and Neural Computing 39
- Computational Mechanics top 1%
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- Mechanical and Optical Resonators 18
- Co-authors
- Chih‐Ming HoMark S. HumayunR.S. MullerDamien C. RodgerPo‐Jui ChenEllis MengSaloomeh SaatiBo Lü
- Journals
- Journal of Clinical Oncology (2 papers)SHILAP Revista de lepidopterología (1 paper)PLoS ONE (2 papers)
- Partner nations
- United StatesTaiwanJapan
In The Last Decade
Yu‐Chong Tai
254 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Biomedical Engineering 4.0k
- Cellular and Molecular Neuroscience 1.5k
- Bioengineering 377
- Electrical and Electronic Engineering 3.0k
- Computational Mechanics 999
Countries citing papers authored by Yu‐Chong Tai
This map shows the geographic impact of Yu‐Chong Tai'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 Yu‐Chong Tai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Chong Tai more than expected).
Fields of papers citing papers by Yu‐Chong Tai
This network shows the impact of papers produced by Yu‐Chong Tai. 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 Yu‐Chong Tai. The network helps show where Yu‐Chong Tai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yu‐Chong Tai, 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 | 2024 | 2 | |
| 2 | 2023 | 4 | |
| 3 | 2022 | 8 | |
| 4 | 2022 | 0 | |
| 5 | 2021 | 8 | |
| 6 | 2021 | 7 | |
| 7 | 2017 | 4 | |
| 8 | 2016 | 1 | |
| 9 | 2016 | 12 | |
| 10 | 2014 | 21 | |
| 11 | 2014 | 33 | |
| 12 | 2013 | 76 | |
| 13 | 2013 | 40 | |
| 14 | 2012 | 1 | |
| 15 | Culture of Polarized Embryonic Stem Cell-Derived RPE on Synthetic Substrates | 2011 | 2 |
| 16 | 2011 | 18 | |
| 17 | 2010 | 130 | |
| 18 | 2006 | 34 | |
| 19 | Parylene BioMEMS | 2005 | 2 |
| 20 | Silicon micromachined waveguides for millimeter and submillimeter wavelengths | 1992 | 10 |
About Yu‐Chong Tai
Yu‐Chong Tai is a scholar working on Cellular and Molecular Neuroscience, Bioengineering and Biomedical Engineering, having authored 263 papers that have together received 7.8k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (93 papers), Advanced MEMS and NEMS Technologies (47 papers), Microfluidic and Capillary Electrophoresis Applications (42 papers), Advanced Memory and Neural Computing (39 papers), Photoreceptor and optogenetics research (25 papers), Microfluidic and Bio-sensing Technologies (23 papers), Analytical Chemistry and Sensors (20 papers) and Mechanical and Optical Resonators (18 papers). The work is most often cited by research in Biomedical Engineering (4.0k citations), Cellular and Molecular Neuroscience (1.5k citations) and Bioengineering (377 citations). Yu‐Chong Tai has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Chih‐Ming Ho, Mark S. Humayun, R.S. Muller, Damien C. Rodger, Po‐Jui Chen, Ellis Meng, Saloomeh Saati, Bo Lü, Po-Ying Li and Xing Yang. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.