Carol Gu
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Clinical Reasoning and Diagnostic Skills
Papers in
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- Sepsis Diagnosis and Treatment 2
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- Non-Invasive Vital Sign Monitoring 2
- Co-authors
- Emily Pellegrini (2 shared papers)Jana Hoffman (2 shared papers)Abigail Green‐Saxena (2 shared papers)Ritankar Das (2 shared papers)Hoyt Burdick (2 shared papers)Jonathan Roberts (2 shared papers)Sidney Le (2 shared papers)Yujun Deng (1 shared paper)
- Journals
- BMC Medical Informatics and Decision Making (1 paper)Proceedings of the National Academy of Sciences (1 paper)Annals of Emergency Medicine (1 paper)Telemedicine Journal and e-Health (1 paper)Contemporary Clinical Trials Communications (1 paper)
- Partner nations
- United StatesChinaPhilippines
In The Last Decade
Carol Gu
7 papers receiving 178 citations
Peers
Comparison fields: 5 of 65
- Health Informatics 13
- Family Practice 12
- Biomedical Engineering 72
- Epidemiology 43
- Health Information Management 6
Countries citing papers authored by Carol Gu
This map shows the geographic impact of Carol Gu'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 Carol Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carol Gu more than expected).
Fields of papers citing papers by Carol Gu
This network shows the impact of papers produced by Carol Gu. 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 Carol Gu. The network helps show where Carol Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Carol Gu, 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 | 2020 | 74 | |
| 2 | 2020 | 52 | |
| 3 | 2020 | 30 | |
| 4 | 2022 | 21 | |
| 5 | 2022 | 7 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 1 |
About Carol Gu
Carol Gu is a scholar working on Epidemiology, Biomedical Engineering, Automotive Engineering, Genetics and Cardiology and Cardiovascular Medicine, having authored 7 papers that have together received 187 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (2 papers), Sepsis Diagnosis and Treatment (2 papers), Pharmacological Effects and Toxicity Studies (1 paper), Optical Imaging and Spectroscopy Techniques (1 paper), EEG and Brain-Computer Interfaces (1 paper), Autonomous Vehicle Technology and Safety (1 paper), Suicide and Self-Harm Studies (1 paper) and Hemoglobinopathies and Related Disorders (1 paper). The work is most often cited by research in Health Informatics (13 citations), Family Practice (12 citations), Biomedical Engineering (72 citations), Epidemiology (43 citations) and Health Information Management (6 citations). Carol Gu has collaborated with scholars based in United States, China and Philippines. Frequent co-authors include Emily Pellegrini, Jana Hoffman, Abigail Green‐Saxena, Ritankar Das, Hoyt Burdick, Jonathan Roberts, Sidney Le, Yujun Deng, Changsheng Wu and Monica Fabiani. Their work appears in journals such as BMC Medical Informatics and Decision Making, Proceedings of the National Academy of Sciences, Annals of Emergency Medicine, Telemedicine Journal and e-Health and Contemporary Clinical Trials Communications.
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.