Chin-Hui Yang
- Epidemiology top 10%
- Infectious Diseases top 5%
- Agronomy and Crop Science top 5%
- Immunology
- Hepatology top 10%
- Co-authors
- Ji‐Rong YangWan‐Ting HuangHo-Sheng WuMing‐Tsan LiuYi‐Chun LoJen-Hsiang ChuangMinghui ShenFeng‐Yee Chang
- Topics
- Pneumocystis jirovecii pneumonia detection and treatment (8 papers)Tuberculosis Research and Epidemiology (8 papers)Vaccine Coverage and Hesitancy (7 papers)
- Partner nations
- TaiwanUnited StatesSouth Korea
In The Last Decade
Chin-Hui Yang
43 papers receiving 663 citations
Peers
Comparison fields: 5 of 92
- Epidemiology 424
- Infectious Diseases 340
- Agronomy and Crop Science 139
- Immunology 65
- Hepatology 64
Countries citing papers authored by Chin-Hui Yang
This map shows the geographic impact of Chin-Hui Yang'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 Chin-Hui Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chin-Hui Yang more than expected).
Fields of papers citing papers by Chin-Hui Yang
This network shows the impact of papers produced by Chin-Hui Yang. 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 Chin-Hui Yang. The network helps show where Chin-Hui Yang may publish in the future.
Co-authorship network of co-authors of Chin-Hui Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Chin-Hui Yang. A scholar is included among the top collaborators of Chin-Hui Yang 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 Chin-Hui Yang. Chin-Hui Yang 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 | 1 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | A Vaccination Program to Control an Outbreak of Acute Hepatitis A among MSM in Taiwan, 2016 | 1 |
| 8 | 15 | |
| 9 | 1 | |
| 10 | Treatment of Latent Tuberculosis Infection in Taiwan: the Present and Future | 2 |
| 11 | 5 | |
| 12 | 13 | |
| 13 | Evolution of MDR-TB Control Strategy in Taiwan | 6 |
| 14 | The Active Surveillance of BCG-related Adverse Events | 6 |
| 15 | 17 | |
| 16 | The Program for HIV-infected Case Management and Behavior Changes of the Cases | 2 |
| 17 | Preliminary Report-Effectiveness of Taiwan Multiple Drug Resistance Tuberculosis Consortium (TMTC) | 1 |
| 18 | Compendium Report-Guidelines for Diagnosis and Treatment of HIV/AIDS | 1 |
| 19 | 42 | |
| 20 | 18 |
About Chin-Hui Yang
Chin-Hui Yang is a scholar working on Infectious Diseases, Modeling and Simulation and Health, having authored 45 papers that have together received 683 indexed citations. Recurring topics across this work include Pneumocystis jirovecii pneumonia detection and treatment (8 papers), Tuberculosis Research and Epidemiology (8 papers) and Vaccine Coverage and Hesitancy (7 papers). The work is most often cited by research in Infectious Diseases (340 citations), Agronomy and Crop Science (139 citations) and Epidemiology (424 citations). Chin-Hui Yang has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Ji‐Rong Yang, Wan‐Ting Huang, Ho-Sheng Wu, Ming‐Tsan Liu, Yi‐Chun Lo, Jen-Hsiang Chuang, Minghui Shen, Feng‐Yee Chang, Pei‐Jung Chen and Jen-Shiou Lin. Their work appears in journals such as PLoS ONE, The Journal of Infectious Diseases and International Journal of Epidemiology.
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.