Papers
5
Total Citations
110
H-Index
3
About
Ying-Hsiu Chen’s research bridges the gap between intelligent systems and real-world applications, with a primary focus on IoT-enabled environmental monitoring and robotics-enhanced education. Her most impactful work, the 2022 study on an “IoT-Based Fish Farm Water Quality Monitoring System” (82 citations), addresses critical challenges in Taiwan’s aquaculture industry—namely, extreme weather losses and labor shortages. By integrating wireless sensors for temperature, pH, dissolved oxygen, and water level tracking, Chen’s system offers a scalable, low-cost solution that empowers farmers with real-time data, reducing mortality and operational risks. Earlier in her career, she explored the pedagogical potential of robotics, notably through Lego NXT platforms and Kolb’s learning cycle (2012, 19 citations), demonstrating how hands-on, multi-media tools can boost student motivation and comprehension in STEM. However, her publication record is shadowed by a 2013 retraction linked to a peer review ring, which has since prompted scrutiny of her collaborative practices. Despite this, Chen’s core contributions—particularly in precision aquaculture and experiential learning—remain valuable for researchers seeking practical, sensor-driven interventions in agriculture and education.
Research Focus
Key Achievements
Top Papers
- 1IoT-Based Fish Farm Water Quality Monitoring System82 citations · 2022
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- 5Side robot — a wall climber implements in the autonomous monitor robot2 citations · 2017