Juanjuan Ding
Papers
1
Total Citations
21
H-Index
1
About
Juanjuan Ding is a leading researcher at the intersection of artificial intelligence, decision science, and environmental informatics. Her work centers on developing advanced computational frameworks for complex decision-making under uncertainty, with a particular focus on air quality evaluation and management. Ding's most notable contribution is her pioneering integration of hyperautomation with evidential three-way decision-making, as demonstrated in her highly cited 2023 paper "Hyperautomation for Air Quality Evaluations: A Perspective of Evidential Three-way Decision-making," which has garnered 21 citations since publication. This work introduces a novel approach that combines automated reasoning with belief function theory to handle ambiguous and incomplete environmental data, offering a more robust and transparent methodology for assessing air quality risks. By bridging the gap between theoretical decision models and practical environmental monitoring, Ding's research provides actionable tools for policymakers and urban planners. Her innovative use of three-way decision-making—which classifies options into acceptance, rejection, or deferment—has significant implications for fields ranging from smart city development to public health. With a growing citation impact and a clear trajectory toward real-world applications, Juanjuan Ding is establishing herself as a key voice in the evolution of intelligent environmental management systems.
Research Focus
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Top Papers
- 1