Chia-Hung Yang
Impact in
- Modeling and Simulation top 0.1%
- COVID-19 epidemiological studies
- Transportation top 1%
- Human Mobility and Location-Based Analysis
- Urban Transport and Accessibility
Papers in
-
- Gene Regulatory Network Analysis 2
- Oncology 2
- Cancer Cells and Metastasis 2
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Samuel V. Scarpino (3 shared papers)Brennan Klein (2 shared papers)John S. Brownstein (1 shared paper)Bernardo Gutiérrez (1 shared paper)William P. Hanage (1 shared paper)Huaiyu Tian (1 shared paper)Ruoran Li (1 shared paper)Nuno R. Faria (1 shared paper)
- Journals
- Journal of The Royal Society Interface (1 paper)Scientific Reports (1 paper)Science (1 paper)BMC Cancer (1 paper)Entropy (1 paper)
- Partner nations
- United StatesTaiwanItaly
In The Last Decade
Chia-Hung Yang
5 papers receiving 1.9k citations
Chia-Hung Yang's Hit Papers
Peers
Comparison fields: 5 of 142
- Modeling and Simulation 1.3k
- Transportation 343
- Economics and Econometrics 663
- Global and Planetary Change 316
- Infectious Diseases 275
Countries citing papers authored by Chia-Hung Yang
This map shows the geographic impact of Chia-Hung 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 Chia-Hung Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia-Hung Yang more than expected).
Fields of papers citing papers by Chia-Hung Yang
This network shows the impact of papers produced by Chia-Hung 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 Chia-Hung Yang. The network helps show where Chia-Hung Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chia-Hung Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The effect of human mobility and control measures on the COVID-19 epidemic in China Hit paper breakdown → | 2020 | 1934 |
| 2 | 2021 | 13 | |
| 3 | 2019 | 7 | |
| 4 | 2022 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 |
About Chia-Hung Yang
Chia-Hung Yang is a scholar working on Molecular Biology, Oncology, Genetics, Economics and Econometrics and Genetics, having authored 7 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (2 papers), Gene Regulatory Network Analysis (2 papers), Evolution and Genetic Dynamics (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Complex Network Analysis Techniques (1 paper), Neurogenetic and Muscular Disorders Research (1 paper), Complex Systems and Time Series Analysis (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Modeling and Simulation (1.3k citations), Transportation (343 citations), Economics and Econometrics (663 citations), Global and Planetary Change (316 citations) and Infectious Diseases (275 citations). Chia-Hung Yang has collaborated with scholars based in United States, Taiwan and Italy. Frequent co-authors include Samuel V. Scarpino, Brennan Klein, John S. Brownstein, Bernardo Gutiérrez, William P. Hanage, Huaiyu Tian, Ruoran Li, Nuno R. Faria, Oliver G. Pybus and Christopher Dye. Their work appears in journals such as Journal of The Royal Society Interface, Scientific Reports, Science, BMC Cancer and Entropy.
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.