Hua‐Hua Chang

60 papers and 1.1k indexed citations i.

About

Hua‐Hua Chang is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Statistics and Probability. According to data from OpenAlex, Hua‐Hua Chang has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Management Science and Operations Research, 26 papers in Computer Networks and Communications and 14 papers in Statistics and Probability. Recurrent topics in Hua‐Hua Chang’s work include Measurement Invariance in Structural Equation Modeling (41 papers), Advanced Statistical Modeling Techniques (26 papers) and Intelligent Tutoring Systems and Adaptive Learning (8 papers). Hua‐Hua Chang is often cited by papers focused on Measurement Invariance in Structural Equation Modeling (41 papers), Advanced Statistical Modeling Techniques (26 papers) and Intelligent Tutoring Systems and Adaptive Learning (8 papers). Hua‐Hua Chang collaborates with scholars based in United States, China and Hong Kong. Hua‐Hua Chang's co-authors include John Mazzeo, Louis A. Roussos, William Stout, Ying Cheng, Kit‐Tai Hau, Chun Wang, Wim J. van der Linden, Mark J. Gierl, Ying Cui and Jeffrey A. Douglas and has published in prestigious journals such as Journal of Applied Physics, Computers & Education and Psychometrika.

In The Last Decade

Co-authorship network of co-authors of Hua‐Hua Chang i

Fields of papers citing papers by Hua‐Hua Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hua‐Hua Chang. 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 Hua‐Hua Chang. The network helps show where Hua‐Hua Chang may publish in the future.

Countries citing papers authored by Hua‐Hua Chang

Since Specialization
Citations

This map shows the geographic impact of Hua‐Hua Chang'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 Hua‐Hua Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua‐Hua Chang 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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