Yu‐Hui Chang
- Surgery top 5%
- Pulmonary and Respiratory Medicine top 5%
- Epidemiology top 10%
- Public Health, Environmental and Occupational Health top 5%
- Oncology top 10%
- Co-authors
- Fan OuyangNabil WasifDavid A. EtzioniAmit K. MathurJanis E. BlairJulia A. FilesAnita P. MayerBarbara A. Pockaj
- Topics
- Cardiac, Anesthesia and Surgical Outcomes (10 papers)Organ Transplantation Techniques and Outcomes (9 papers)Renal Transplantation Outcomes and Treatments (8 papers)
- Journals
- JAMAJournal of Clinical InvestigationSHILAP Revista de lepidopterología
- Partner nations
- United StatesTaiwanCanada
In The Last Decade
Yu‐Hui Chang
123 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 149
- Surgery 654
- Pulmonary and Respiratory Medicine 539
- Epidemiology 353
- Public Health, Environmental and Occupational Health 347
- Oncology 275
Countries citing papers authored by Yu‐Hui Chang
This map shows the geographic impact of Yu‐Hui 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 Yu‐Hui Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Hui Chang more than expected).
Fields of papers citing papers by Yu‐Hui Chang
This network shows the impact of papers produced by Yu‐Hui 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 Yu‐Hui Chang. The network helps show where Yu‐Hui Chang may publish in the future.
Co-authorship network of co-authors of Yu‐Hui Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Hui Chang. A scholar is included among the top collaborators of Yu‐Hui 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 Yu‐Hui Chang. Yu‐Hui 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 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 7 | |
| 9 | Pre-service Teachers’ Perceptions of Computational Thinking | 22 |
| 10 | 9 | |
| 11 | 13 | |
| 12 | Decoding the Mystery of Technology Integration: Decision-Making and Identities with Elementary Pre-Service Teachers | 1 |
| 13 | 49 | |
| 14 | 1 | |
| 15 | 6 | |
| 16 | 5 | |
| 17 | 10 | |
| 18 | 84 | |
| 19 | 13 | |
| 20 | 17 |
About Yu‐Hui Chang
Yu‐Hui Chang is a scholar working on Transplantation, Surgery and Internal Medicine, having authored 134 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (10 papers), Organ Transplantation Techniques and Outcomes (9 papers) and Renal Transplantation Outcomes and Treatments (8 papers). The work is most often cited by research in Microbiology (24 citations), Transplantation (77 citations) and Gender Studies (241 citations). Yu‐Hui Chang has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Fan Ouyang, Nabil Wasif, David A. Etzioni, Amit K. Mathur, Janis E. Blair, Julia A. Files, Anita P. Mayer, Barbara A. Pockaj, Javier F. Magrina and Marcia G. Ko. Their work appears in journals such as JAMA, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.