Sungjoon Yoon | Optical Sensors | Research Excellence Award

Prof. Dr. Sungjoon Yoon | Optical Sensors | Research Excellence Award

Kyonggi University | South Korea

Professor Sung-Joon Yoon is a tenured Professor of Marketing and Business Administration at Kyonggi University, South Korea, with an extensive academic career spanning industry, policy research, and higher education. He holds a PhD in Marketing from Wayne State University (USA), an MBA from Purdue University, and a BA in English Language and Literature from Korea University. His research expertise covers digital marketing, consumer behavior, technology readiness, AI-based services, sustainability, tourism marketing, and platform economics. Professor Yoon has published over 30 peer-reviewed articles in leading international journals such as Sustainability, Asia Pacific Journal of Marketing and Logistics, Journal of Retailing and Consumer Services, and Technology in Society, accumulating significant international citations. He actively collaborates with scholars across Asia, Europe, and North America and serves on multiple editorial boards. His research has strong societal impact by informing sustainable consumption, digital innovation, and data-driven marketing policy and practice.

Citation Metrics (Scopus)

1500
1000
50
10
0

Citations
1,902

h-index
19

Documents
50

Citations

h-index

Documents

Dr. Liu Jun | Optical Sensors Awards | Best Researcher Award

Dr. Liu Jun | Optical Sensors Awards | Best Researcher Award

Dr. Liu Jun, Jiangsu Academy of Agricultural Sciences, China

Jun Liu received his B.Sc. degree in Automation from Nanjing Agricultural University, China, in 2007, and his M.Sc. degree in Instrument Science and Technology from Southeast University, China, in 2010. He has served as both an Assistant Professor and Associate Professor at the Institute of Agricultural Facilities and Equipment, Jiangsu Academy of Agricultural Sciences, China. His research interests primarily focus on signal processing, instrumentation, and digital agriculture, contributing to advancements in agricultural technology and equipment.

Professional Profile:

SCOPUS

Summary for Jun Liu’s Suitability for the Best Researcher Award

Jun Liu is a highly qualified researcher with a strong academic background and a significant contribution to the field of agricultural technology. He received his B.Sc. degree in automation from Nanjing Agricultural University, China, in 2007, followed by an M.Sc. degree in instrument science and technology from Southeast University, China, in 2010. Liu has held positions as both an Assistant Professor and Associate Professor at the Institute of Agricultural Facilities and Equipment, Jiangsu Academy of Agricultural Sciences, where he has focused on advancing research in signal processing, instrumentation, and digital agriculture.

Education 🎓

  • B.Sc. in Automation
    Nanjing Agricultural University, China (2007)
  • M.Sc. in Instrument Science and Technology
    Southeast University, China (2010)

Work Experience 💼

  • Assistant Professor
    Institute of Agricultural Facilities and Equipment, Jiangsu Academy of Agricultural Sciences, China
  • Associate Professor
    Institute of Agricultural Facilities and Equipment, Jiangsu Academy of Agricultural Sciences, China

Research Interests 🔍

  • Signal Processing
  • Instrumentation
  • Digital Agriculture

Achievements 🏆

  • Published multiple research papers in reputable journals
  • Developed innovative agricultural equipment and systems

Awards and Honors 🎖️

  • Recognition for contributions to digital agriculture
  • Best Paper Award at a national conference on agricultural technology

Publication Top Notes:

Design and experiment of suspended track inspection robot for facility pig farms

Research status and development trend of fruit and vegetable sorting equipment

PL-DINO: An Improved Transformer-Based Method for Plant Leaf Disease Detection

Design and Experimentation of a Tomato Harvesting System Based on Human-Like Picking Behavior

Cadmium ions mediated turn-on electrogenerated chemiluminescence of ZnS nanoparticles for highly selective cadmium detection in seafood