Shengsheng Wang

Changchun University of Science and Technology, Jilin University, Ministry of Education of the People's Republic of China

Papers

Total Citations

124

H-Index

About

Shengsheng Wang is a researcher specializing in qualitative spatial reasoning and spatial knowledge representation, with particular focus on how computers and intelligent systems can understand and process spatial relationships in ways that mirror human cognition. Working at the intersection of artificial intelligence, geographic information systems, and robot navigation, Wang has made meaningful contributions to the formalization of spatial reasoning frameworks that support real-world applications in computer vision, natural language understanding, and autonomous systems. Wang's most influential work, "A survey of qualitative spatial representations" (2013), has garnered 116 citations and stands as a comprehensive reference in the field, systematically cataloguing the landscape of qualitative spatial relation models and their applications across multiple domains. This survey has proven particularly valuable for researchers entering the field, offering a structured foundation for understanding how spatial relations can be represented without relying on precise numerical measurements. Beyond this landmark survey, Wang has extended the frontiers of spatial reasoning into three-dimensional environments, as demonstrated by work on Oriented Point Relation Algebra in 3D space, and has tackled complex challenges such as spatio-temporal occlusion representation relevant to computer vision. Wang's body of work reflects a sustained commitment to advancing the theoretical and applied dimensions of intelligent spatial reasoning systems.