Li‐Chia Tai
Impact in
- Bioengineering top 0.2%
- Analytical Chemistry and Sensors
- Biomedical Engineering top 0.5%
- Advanced Sensor and Energy Harvesting Materials
- Biosensors and Analytical Detection
- Advanced Chemical Sensor Technologies
Papers in
-
- Analytical Chemistry and Sensors 10
- Co-authors
- Ali JaveyHnin Yin Yin NyeinWei GaoHossain M. FahadMallika BariyaHiroki OtaKevin ChenMinghan Chao
- Journals
- ACS Sensors (5 papers)IEEE Sensors Journal (4 papers)Advanced Materials (3 papers)Science Advances (2 papers)ACS Nano (2 papers)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Li‐Chia Tai
32 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Bioengineering 788
- Biomedical Engineering 3.0k
- Polymers and Plastics 810
- Cognitive Neuroscience 633
- Biophysics 181
Countries citing papers authored by Li‐Chia Tai
This map shows the geographic impact of Li‐Chia 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 Li‐Chia Tai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li‐Chia Tai more than expected).
Fields of papers citing papers by Li‐Chia Tai
This network shows the impact of papers produced by Li‐Chia 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 Li‐Chia Tai. The network helps show where Li‐Chia Tai may publish in the future.
Co-authors
The 25 scholars most cited alongside Li‐Chia 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 | 2025 | 4 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 9 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 12 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 4 | |
| 13 | 2022 | 7 | |
| 14 | 2020 | 63 | |
| 15 | 2020 | 125 | |
| 16 | 2019 | 227 | |
| 17 | 2019 | 147 | |
| 18 | Regional and correlative sweat analysis using high-throughput microfluidic sensing patches toward decoding sweat Hit paper breakdown → | 2019 | 303 |
| 19 | 2018 | 254 | |
| 20 | 2016 | 319 |
About Li‐Chia Tai
Li‐Chia Tai is a scholar working on Bioengineering, General Dentistry, Biomedical Engineering, Cognitive Neuroscience and Biophysics, having authored 35 papers that have together received 3.8k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (16 papers), Analytical Chemistry and Sensors (10 papers), Tactile and Sensory Interactions (8 papers), Gas Sensing Nanomaterials and Sensors (3 papers), Advanced Chemical Sensor Technologies (3 papers), UAV Applications and Optimization (3 papers), Indoor and Outdoor Localization Technologies (2 papers) and Speech and Audio Processing (2 papers). The work is most often cited by research in Bioengineering (788 citations), Biomedical Engineering (3.0k citations), Polymers and Plastics (810 citations), Cognitive Neuroscience (633 citations) and Biophysics (181 citations). Li‐Chia Tai has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Ali Javey, Hnin Yin Yin Nyein, Wei Gao, Hossain M. Fahad, Mallika Bariya, Hiroki Ota, Kevin Chen, Minghan Chao, Sam Emaminejad and Quynh Phuong Ngo. Their work appears in journals such as ACS Sensors, IEEE Sensors Journal, Advanced Materials, Science Advances and ACS Nano.
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.