Liping Yu
Papers
1
Total Citations
15
H-Index
1
About
Liping Yu’s research centers on the development and refinement of multi-criteria decision-making methodologies, with a particular emphasis on enhancing evaluation frameworks for academic and technical fields. Her most notable contribution is the proposal of “coordinated TOPSIS,” an innovative advancement of the widely used TOPSIS evaluation method. Recognizing that traditional TOPSIS overlooks the coordination among evaluation indicators, Yu introduced a novel assessment approach that integrates indicator harmony into the decision-making process. This work, published in her highly cited paper “A Study on the Application of Coordinated TOPSIS in Evaluation of Robotics Academic Journals” (2018, 15 citations), demonstrates the practical utility of her method by applying it to the rigorous assessment of robotics journals. By addressing a critical gap in existing evaluation techniques, Yu’s research offers a more nuanced and accurate tool for ranking and selection problems. Her work holds significant implications for researchers and practitioners in operations research, library science, and any field requiring robust comparative analysis, establishing her as a thoughtful innovator in methodological design.
Research Focus
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Top Papers
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