Kuan‐Yu Jin

35 papers and 397 indexed citations i.

About

Kuan‐Yu Jin is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Statistics and Probability. According to data from OpenAlex, Kuan‐Yu Jin has authored 35 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Management Science and Operations Research, 14 papers in Computer Networks and Communications and 11 papers in Statistics and Probability. Recurrent topics in Kuan‐Yu Jin’s work include Measurement Invariance in Structural Equation Modeling (30 papers), Advanced Statistical Modeling Techniques (14 papers) and Reliability and Agreement in Measurement (8 papers). Kuan‐Yu Jin is often cited by papers focused on Measurement Invariance in Structural Equation Modeling (30 papers), Advanced Statistical Modeling Techniques (14 papers) and Reliability and Agreement in Measurement (8 papers). Kuan‐Yu Jin collaborates with scholars based in Hong Kong, Taiwan and Germany. Kuan‐Yu Jin's co-authors include Wen‐Chung Wang, Hui-Fang Chen, Frank Reichert, Jimmy de la Torre, Nancy Law, Thomas Eckes, Chia‐Wen Chen, Ming Ming Chiu, Li‐Ming Chen and Xiaoting Huang and has published in prestigious journals such as Computers & Education, Frontiers in Psychology and Organizational Research Methods.

In The Last Decade

Co-authorship network of co-authors of Kuan‐Yu Jin i

Fields of papers citing papers by Kuan‐Yu Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuan‐Yu Jin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kuan‐Yu Jin. The network helps show where Kuan‐Yu Jin may publish in the future.

Countries citing papers authored by Kuan‐Yu Jin

Since Specialization
Citations

This map shows the geographic impact of Kuan‐Yu Jin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kuan‐Yu Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuan‐Yu Jin more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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