Scott Hu
Impact in
Papers in
-
- Sepsis Diagnosis and Treatment 4
- Respiratory viral infections research 3
- Burn Injury Management and Outcomes 2
- Influenza Virus Research Studies 2
- Surgery 6
- Healthcare Technology and Patient Monitoring 3
- Transplantation: Methods and Outcomes 2
- Co-authors
- Jane C. Deng (4 shared papers)Mihaela van der Schaar (3 shared papers)Ahmed M. Alaa (3 shared papers)Jinsung Yoon (2 shared papers)David Elashoff (2 shared papers)Ning Li (1 shared paper)Deborah J. Wong (1 shared paper)Robert M. Elashoff (2 shared papers)
- Journals
- PLoS ONE (2 papers)IEEE Transactions on Biomedical Engineering (1 paper)Medicine & Science in Sports & Exercise (1 paper)Microbiome (1 paper)Therapeutic Advances in Respiratory Disease (1 paper)
- Partner nations
- United StatesThailandTaiwan
In The Last Decade
Scott Hu
12 papers receiving 315 citations
Peers
Comparison fields: 5 of 72
- Health Informatics 9
- Critical Care and Intensive Care Medicine 30
- Transplantation 15
- Surgery 150
- Epidemiology 117
Countries citing papers authored by Scott Hu
This map shows the geographic impact of Scott Hu'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 Scott Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Hu more than expected).
Fields of papers citing papers by Scott Hu
This network shows the impact of papers produced by Scott Hu. 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 Scott Hu. The network helps show where Scott Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Hu, 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 | 2018 | 75 | |
| 2 | 2015 | 61 | |
| 3 | 2016 | 43 | |
| 4 | 2011 | 36 | |
| 5 | 2010 | 32 | |
| 6 | 2017 | 29 | |
| 7 | ForecastICU: a prognostic decision support system for timely prediction of intensive care unit admission | 2016 | 18 |
| 8 | 2011 | 10 | |
| 9 | 2020 | 6 | |
| 10 | 2020 | 6 | |
| 11 | Learning from clinical judgments: semi-Markov-modulated marked Hawkes processes for risk prognosis | 2017 | 3 |
| 12 | 2023 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2014 | 0 |
About Scott Hu
Scott Hu is a scholar working on Epidemiology, Surgery, Cardiology and Cardiovascular Medicine, Rehabilitation and Artificial Intelligence, having authored 14 papers that have together received 320 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (4 papers), Healthcare Technology and Patient Monitoring (3 papers), Respiratory viral infections research (3 papers), Burn Injury Management and Outcomes (2 papers), Wound Healing and Treatments (2 papers), Immune Response and Inflammation (2 papers), Influenza Virus Research Studies (2 papers) and Transplantation: Methods and Outcomes (2 papers). The work is most often cited by research in Health Informatics (9 citations), Critical Care and Intensive Care Medicine (30 citations), Transplantation (15 citations), Surgery (150 citations) and Epidemiology (117 citations). Scott Hu has collaborated with scholars based in United States, Thailand and Taiwan. Frequent co-authors include Jane C. Deng, Mihaela van der Schaar, Ahmed M. Alaa, Jinsung Yoon, David Elashoff, Ning Li, Deborah J. Wong, Robert M. Elashoff, Yasir Tarabichi and Kazima Saira. Their work appears in journals such as PLoS ONE, IEEE Transactions on Biomedical Engineering, Medicine & Science in Sports & Exercise, Microbiome and Therapeutic Advances in Respiratory Disease.
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.