Hua‐Hua Chang
- Management Science and Operations Research top 0.5%
- Computer Networks and Communications top 2%
- Statistics and Probability top 1%
- Artificial Intelligence top 5%
- Experimental and Cognitive Psychology top 5%
- Co-authors
- John MazzeoLouis A. RoussosYing ChengWilliam StoutKit‐Tai HauChun WangWim J. van der LindenYing Cui
- Topics
- Psychometric Methodologies and Testing (49 papers)Advanced Statistical Modeling Techniques (34 papers)Intelligent Tutoring Systems and Adaptive Learning (8 papers)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityComputer Networks and Communications
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Hua‐Hua Chang
68 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 104
- Management Science and Operations Research 830
- Computer Networks and Communications 453
- Statistics and Probability 270
- Artificial Intelligence 254
- Experimental and Cognitive Psychology 241
Countries citing papers authored by Hua‐Hua Chang
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).
Fields of papers citing papers by Hua‐Hua Chang
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.
Co-authorship network of co-authors of Hua‐Hua Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Hua‐Hua Chang. A scholar is included among the top collaborators of Hua‐Hua Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hua‐Hua Chang. Hua‐Hua Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 13 | |
| 7 | An Item-Driven Adaptive Design for Calibrating Pretest Items. Research Report. ETS RR-14-38. | 2 |
| 8 | 10 | |
| 9 | 119 | |
| 10 | 47 | |
| 11 | 1 | |
| 12 | 36 | |
| 13 | Optimum Number of Strata in the a-Stratified Computerized Adaptive Testing Design | 1 |
| 14 | Adaptation of a-Stratified Method in Variable Length Computerized Adaptive Testing | 0 |
| 15 | A-Stratified Computerized Adaptive Testing with Unequal Item Exposure across Strata | 4 |
| 16 | An Examination of Item Selection Rules by Stratified CAT Designs Integrated with Content Balancing Methods | 3 |
| 17 | Content Balancing in Stratified Computerized Adaptive Testing Designs | 9 |
| 18 | An Enhanced Stratified Computerized Adaptive Testing Design | 3 |
| 19 | 11 | |
| 20 | Fundamentals of two dimensional recursive filtering | 3 |
About Hua‐Hua Chang
Hua‐Hua Chang is a scholar working on Management Science and Operations Research, Statistics and Probability and Computer Networks and Communications, having authored 71 papers that have together received 1.3k indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (49 papers), Advanced Statistical Modeling Techniques (34 papers) and Intelligent Tutoring Systems and Adaptive Learning (8 papers). The work is most often cited by research in Management Science and Operations Research (830 citations), Statistics and Probability (270 citations) and Computer Networks and Communications (453 citations). Hua‐Hua Chang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include John Mazzeo, Louis A. Roussos, Ying Cheng, William Stout, Kit‐Tai Hau, Chun Wang, Wim J. van der Linden, Ying Cui, Mark J. Gierl and Zhiliang Ying. Their work appears in journals such as Physical review. B, Condensed matter, Journal of Applied Physics and Computers & Education.
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.