Shuying Yang
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- Chronic Obstructive Pulmonary Disease (COPD) Research 12
- Inhalation and Respiratory Drug Delivery 9
- Respiratory and Cough-Related Research 7
- Process Chemistry and Technology top 10%
- Polymers and Plastics top 10%
- Physiology top 10%
- Asthma and respiratory diseases 16
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- Statistical Methods in Clinical Trials 5
- Statistical Methods and Bayesian Inference 5
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- MicroRNA in disease regulation 4
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- 3D IC and TSV technologies 3
- Co-authors
- Steven PascoeWangsheng ChenMisba BeeraheeRenard ThomasStephen MichielsenBobby L. WilsonYeon‐Seok KimJaime C. Grunlan
- Journals
- Macromolecules (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)Critical Care Medicine (1 paper)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Shuying Yang
67 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 155
- Pulmonary and Respiratory Medicine 328
- Process Chemistry and Technology 28
- Polymers and Plastics 135
- Nuclear Energy and Engineering 4
- Physiology 214
Countries citing papers authored by Shuying Yang
This map shows the geographic impact of Shuying 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 Shuying Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuying Yang more than expected).
Fields of papers citing papers by Shuying Yang
This network shows the impact of papers produced by Shuying 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 Shuying Yang. The network helps show where Shuying Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shuying 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 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 17 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 5 | |
| 8 | 2019 | 3 | |
| 9 | Sample size for detection of drug effect using item level and total score models for Unified Parkinson's Disease Rating Scale data | 2018 | 1 |
| 10 | 2017 | 10 | |
| 11 | 2017 | 15 | |
| 12 | 2016 | 9 | |
| 13 | 2016 | 154 | |
| 14 | 2015 | 31 | |
| 15 | 2015 | 19 | |
| 16 | 2015 | 29 | |
| 17 | 2014 | 35 | |
| 18 | 2012 | 0 | |
| 19 | 2010 | 11 | |
| 20 | 1994 | 23 |
About Shuying Yang
Shuying Yang is a scholar working on Process Chemistry and Technology, Statistics and Probability and Pulmonary and Respiratory Medicine, having authored 71 papers that have together received 1.1k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (16 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (12 papers), Inhalation and Respiratory Drug Delivery (9 papers), Respiratory and Cough-Related Research (7 papers), Statistical Methods in Clinical Trials (5 papers), Statistical Methods and Bayesian Inference (5 papers), MicroRNA in disease regulation (4 papers) and 3D IC and TSV technologies (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (328 citations), Process Chemistry and Technology (28 citations) and Polymers and Plastics (135 citations). Shuying Yang has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Steven Pascoe, Wangsheng Chen, Misba Beerahee, Renard Thomas, Stephen Michielsen, Bobby L. Wilson, Yeon‐Seok Kim, Jaime C. Grunlan, Yuanjian Deng and Xin Wei. Their work appears in journals such as Macromolecules, Antimicrobial Agents and Chemotherapy and Critical Care Medicine.
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.