Te Miao
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
-
- Infection Control and Ventilation
Papers in
-
- Infection Control and Ventilation 9
-
- COVID-19 epidemiological studies 5
- Co-authors
- Yuguo Li (12 shared papers)Hua Qian (4 shared papers)Danting Luo (1 shared paper)Li Liu (1 shared paper)Xiaohong Zheng (1 shared paper)Peihua Wang (6 shared papers)Pak‐To Chan (5 shared papers)Nan Zhang (4 shared papers)
- Journals
- Journal of Hazardous Materials (3 papers)Building and Environment (3 papers)International Journal of Environmental Research and Public Health (1 paper)mSystems (1 paper)Interface Focus (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Te Miao
13 papers receiving 677 citations
Te Miao's Hit Papers
Peers
Comparison fields: 5 of 92
- Modeling and Simulation 221
- Pulmonary and Respiratory Medicine 440
- General Dentistry 18
- Health, Toxicology and Mutagenesis 128
- Speech and Hearing 47
Countries citing papers authored by Te Miao
This map shows the geographic impact of Te Miao'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 Te Miao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Te Miao more than expected).
Fields of papers citing papers by Te Miao
This network shows the impact of papers produced by Te Miao. 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 Te Miao. The network helps show where Te Miao may publish in the future.
Co-authors
The 25 scholars most cited alongside Te Miao, 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 | Indoor transmission of SARS‐CoV‐2 Hit paper breakdown → | 2020 | 365 |
| 2 | 2020 | 135 | |
| 3 | 2020 | 40 | |
| 4 | 2021 | 40 | |
| 5 | 2021 | 35 | |
| 6 | 2022 | 17 | |
| 7 | 2021 | 17 | |
| 8 | 2021 | 12 | |
| 9 | 2024 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 2024 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2022 | 1 |
About Te Miao
Te Miao is a scholar working on Pulmonary and Respiratory Medicine, Modeling and Simulation, Infectious Diseases, Clinical Psychology and Rehabilitation, having authored 13 papers that have together received 684 indexed citations. Recurring topics across this work include Infection Control and Ventilation (9 papers), COVID-19 epidemiological studies (5 papers), COVID-19 and healthcare impacts (2 papers), Infection Control in Healthcare (2 papers), Thermoregulation and physiological responses (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), COVID-19 and Mental Health (2 papers) and Exercise and Physiological Responses (2 papers). The work is most often cited by research in Modeling and Simulation (221 citations), Pulmonary and Respiratory Medicine (440 citations), General Dentistry (18 citations), Health, Toxicology and Mutagenesis (128 citations) and Speech and Hearing (47 citations). Te Miao has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Yuguo Li, Hua Qian, Danting Luo, Li Liu, Xiaohong Zheng, Peihua Wang, Pak‐To Chan, Nan Zhang, Boni Su and Hui‐Ling Yen. Their work appears in journals such as Journal of Hazardous Materials, Building and Environment, International Journal of Environmental Research and Public Health, mSystems and Interface Focus.
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.