Xingbin Guan
Papers
1
Total Citations
3
H-Index
1
About
Xingbin Guan’s research centers on patent mining and its practical applications in robotics innovation, with a particular focus on high-altitude cleaning technologies. In his most-cited work, “A Method for Patent Mining and Its Application in Innovation of High-Altitude Cleaning Robot” (2017, 3 citations), Guan addresses the growing demand for automated cleaning solutions driven by the proliferation of high-rise buildings and airport trusses. He develops a systematic method for extracting and analyzing patent data to identify technological gaps and opportunities, then applies this framework to design a novel high-altitude cleaning robot. His contribution lies in bridging the gap between patent intelligence and engineering design, offering a replicable methodology that can accelerate innovation in specialized robotics. While his citation count is modest, Guan’s work is notable for its early integration of data-driven patent analysis with mechanical invention—a forward-looking approach that anticipates the current emphasis on IP-informed R&D. His research provides a valuable blueprint for engineers and entrepreneurs seeking to navigate crowded patent landscapes and develop commercially viable automation solutions for challenging environments.
Research Focus
Key Achievements
Top Papers
- 1