Yang Wen-hua
Papers
1
Total Citations
15
H-Index
1
About
Yang Wen-hua is a researcher whose work bridges the fields of information science and bibliometric evaluation, with a particular focus on improving the methodological rigor of academic journal assessment. Their most notable contribution is the development of coordinated TOPSIS, a novel evaluation method introduced in their highly cited 2018 study on robotics academic journals. This approach addresses a critical limitation of traditional TOPSIS—its failure to account for indicator coordination—by integrating a coordination perspective that enhances the reliability and comprehensiveness of journal rankings. With 15 citations, this foundational paper has influenced subsequent work in scientometrics and decision-making theory. Yang’s research is characterized by a commitment to refining quantitative evaluation tools, making their work valuable for researchers and students seeking robust methods for assessing scholarly output. Their contributions highlight an ongoing effort to advance the precision of academic metrics, positioning them as a thoughtful innovator in the field of evaluative bibliometrics.
Research Focus
Key Achievements
Top Papers
- 1