Li‐Chia Tai

4.6k citations
35 papers · 3.8k indexed · 6 hit papers · h-index 15

Impact in

    • Analytical Chemistry and Sensors
    • Advanced Sensor and Energy Harvesting Materials
    • Biosensors and Analytical Detection
    • Advanced Chemical Sensor Technologies

Papers in

Li‐Chia Tai

32 papers receiving 3.7k citations

Hit Papers

Regional and correlative sweat analysis using high-throughput microfluidic sensing patches toward decoding sweat 2019 · 303 citations
3032016202620192022100200300400500

Peers

Li‐Chia Tai
Comparison fields: 5 of 136
  • Bioengineering 788
  • Biomedical Engineering 3.0k
  • Polymers and Plastics 810
  • Cognitive Neuroscience 633
  • Biophysics 181
Replace Massood Z. Atashbar with:
Massood Z. Atashbar United States
Binu B. Narakathu United States
Alan S. Campbell United States
Samyuktha Challa United States
Chang Young Lee South Korea
Sameer Sonkusale United States
Tingrui Pan United States
Sam Emaminejad United States
Kaichen Xu China
Jianxiong Zhu China
Li‐Chia Tai relative to Massood Z. Atashbar United States Massood Z. Atashbar's profile →
Citations per field
00.5×4.8×
Massood Z. Atashbar · 1×
Citations per year

Countries citing papers authored by Li‐Chia Tai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Li‐Chia Tai Line = papers co-authored together Li‐Chia Tai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20254
2 20252
3 20251
4 20259
5 20243
6 20240
7 202412
8 20242
9 20241
10 20231
11 20236
12 20234
13 20227
14 202063
15 2020125
16 2019227
17 2019147
18
Regional and correlative sweat analysis using high-throughput microfluidic sensing patches toward decoding sweat
Hit paper breakdown →
2019303
19 2018254
20 2016319

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.

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