Hua-Hua Chang

44 papers and 1.3k indexed citations i.

About

Hua-Hua Chang is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Hua-Hua Chang has authored 44 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Management Science and Operations Research, 20 papers in Computer Networks and Communications and 13 papers in Artificial Intelligence. Recurrent topics in Hua-Hua Chang’s work include Measurement Invariance in Structural Equation Modeling (32 papers), Advanced Statistical Modeling Techniques (19 papers) and Intelligent Tutoring Systems and Adaptive Learning (9 papers). Hua-Hua Chang is often cited by papers focused on Measurement Invariance in Structural Equation Modeling (32 papers), Advanced Statistical Modeling Techniques (19 papers) and Intelligent Tutoring Systems and Adaptive Learning (9 papers). Hua-Hua Chang collaborates with scholars based in United States, China and Taiwan. Hua-Hua Chang's co-authors include Chun Wang, Zhiliang Ying, Jian Tao and Qing Yi and has published in prestigious journals such as The Annals of Statistics, Frontiers in Psychology and Quality of Life Research.

In The Last Decade

Fields of papers citing papers by Hua-Hua Chang

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Hua-Hua Chang. Nodes represent fields, and links connect fields that are likely to share authors. 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 by CCL
2025