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Yaw‐Kuen Li

ResearcherPublications, citations & collaboration network

Yaw‐Kuen Li is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 111 works, 2,330 citations, an h-index of 27 and an i10-index of 59.

111
Works
2,330
Citations
27
h-index
59
i10-index

How has Yaw‐Kuen Li's publication output changed over time?

ScholarIQpublication output · 2000–2025

Output grew0% over the shown period — from 1 works in 2000 to 1 in 2025.

1
2
1
2
2
1
1
1
20002002200420052006201420212025

What are the most-cited papers on Yaw‐Kuen Li?

ScholarIQmost cited works
Silicon nanowire field-effect-transistor based biosensors: From sensitive to ultra-sensitive
Mo-Yuan Shen, Bor‐Ran Li, Yaw‐Kuen Li
S156181945. 2014170 Citations
A highly sensitive system for urea detection by using CdSe/ZnS core-shell quantum dots
Chin-Ping Huang, Yaw‐Kuen Li, Teng‐Ming Chen
S156181945. 2006155 Citations
Exploring Volatile Organic Compounds in Breath for High-Accuracy Prediction of Lung Cancer
Ping‐Hsien Tsou, Zong-Lin Lin, Yu-Chiang Pan, Hui-Chen Yang, Chien‐Jen Chang, Sheng‐Kai Liang, Yueh‐Feng Wen, Chia‐Hao Chang, Lih‐Yu Chang, Kai‐Lun Yu, Chia-Jung Liu, Li‐Ta Keng, Meng‐Rui Lee, Jen‐Chung Ko, Guan‐Hua Huang, Yaw‐Kuen Li
Cancers. 2021129 CitationsOPEN ACCESS
Detection of serum uric acid using the optical polymeric enzyme biochip system
Su‐Hua Huang, Yu-Chuan Shih, Chung‐Yu Wu, Chiun‐Jye Yuan, Yuh‐Shyong Yang, Yaw‐Kuen Li, Tung‐Kung Wu
S156181945. 2004103 Citations

Related on ScholarIQ

National Yang Ming Chiao Tung University
Institution
Silicon nanowire field-effect-transistor based biosensors: From sensitive to ultra-sensitive
Paper
A highly sensitive system for urea detection by using CdSe/ZnS core-shell quantum dots
Paper
Exploring Volatile Organic Compounds in Breath for High-Accuracy Prediction of Lung Cancer
Paper
An <i>Aspergillus</i> chitosanase with potential for large‐scale preparation of chitosan oligosaccharides
Paper
Detection of serum uric acid using the optical polymeric enzyme biochip system
Paper
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