Papers

2

Total Citations

35

H-Index

2

About

Shuoyan Yan is a leading researcher in non-intrusive test automation for touch screen applications, with a focus on robotic visual GUI testing. Their work addresses the critical challenge of testing closed or uncommon systems—such as game consoles, digital instruments, and GoPro devices—where traditional intrusive techniques like Appium or Sikuli fail. Yan’s major contribution is the development of RoScript (2020, 33 citations), a pioneering framework that leverages robotic manipulation and computer vision to enable truly non-intrusive test automation. This work has been extended in their 2025 paper on robotic visual GUI testing, which demonstrates how physical robots can interact with touch screens without software hooks, expanding automation to previously inaccessible platforms. Yan’s research has significant implications for embedded systems, IoT devices, and consumer electronics testing. With over 35 combined citations, their work is gaining traction in both academia and industry, offering a scalable solution for quality assurance in constrained environments. Yan’s innovative approach bridges robotics and software testing, making them a notable figure in advancing test automation for real-world, heterogeneous systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
35
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
RoScript
33 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Nanjing University of Aeronautics and Astronautics

Top Papers

  1. 1
    RoScript
    33 citations · 2020
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago