Chia‐Hao Chang
- Statistics, Probability and Uncertainty top 1%
- Public Health, Environmental and Occupational Health top 10%
- Physiology
- Epidemiology
- Education top 10%
- Co-authors
- Shwu‐Ru LiouChing‐Yu ChengHsiu‐Min TsaiMuhammad AslamChi‐Hyuck JunChun‐Wei LinMing‐Lang TsengChien‐Min Chen
- Topics
- Advanced Statistical Process Monitoring (13 papers)Optimal Experimental Design Methods (10 papers)Education and Critical Thinking Development (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Cleaner Production
- Partner nations
- TaiwanSouth KoreaUnited States
In The Last Decade
Chia‐Hao Chang
74 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 157
- Statistics, Probability and Uncertainty 256
- Public Health, Environmental and Occupational Health 167
- Physiology 167
- Epidemiology 160
- Education 143
Countries citing papers authored by Chia‐Hao Chang
This map shows the geographic impact of Chia‐Hao 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 Chia‐Hao Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Hao Chang more than expected).
Fields of papers citing papers by Chia‐Hao Chang
This network shows the impact of papers produced by Chia‐Hao 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 Chia‐Hao Chang. The network helps show where Chia‐Hao Chang may publish in the future.
Co-authorship network of co-authors of Chia‐Hao Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Hao Chang. A scholar is included among the top collaborators of Chia‐Hao 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 Chia‐Hao Chang. Chia‐Hao 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 | 5 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 18 | |
| 10 | 20 | |
| 11 | 30 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | 58 | |
| 15 | 27 | |
| 16 | 4 | |
| 17 | 6 | |
| 18 | 33 | |
| 19 | 7 | |
| 20 | 44 |
About Chia‐Hao Chang
Chia‐Hao Chang is a scholar working on Research and Theory, Statistics, Probability and Uncertainty and Issues, ethics and legal aspects, having authored 76 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (13 papers), Optimal Experimental Design Methods (10 papers) and Education and Critical Thinking Development (4 papers). The work is most often cited by research in Research and Theory (70 citations), Leadership and Management (61 citations) and Statistics, Probability and Uncertainty (256 citations). Chia‐Hao Chang has collaborated with scholars based in Taiwan, South Korea and United States. Frequent co-authors include Shwu‐Ru Liou, Ching‐Yu Cheng, Hsiu‐Min Tsai, Muhammad Aslam, Chi‐Hyuck Jun, Chun‐Wei Lin, Ming‐Lang Tseng, Chien‐Min Chen, Su‐Er Guo and Hsiu‐Chen Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Cleaner Production.
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.