Carol Gu

837 total citations
6 papers, 175 citations indexed

About

Carol Gu is a scholar working on Epidemiology, Family Practice and Artificial Intelligence. According to data from OpenAlex, Carol Gu has authored 6 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 2 papers in Family Practice and 2 papers in Artificial Intelligence. Recurrent topics in Carol Gu's work include Non-Invasive Vital Sign Monitoring (2 papers), Machine Learning in Healthcare (2 papers) and Clinical Reasoning and Diagnostic Skills (2 papers). Carol Gu is often cited by papers focused on Non-Invasive Vital Sign Monitoring (2 papers), Machine Learning in Healthcare (2 papers) and Clinical Reasoning and Diagnostic Skills (2 papers). Carol Gu collaborates with scholars based in United States, China and Philippines. Carol Gu's co-authors include Ritankar Das, Jonathan Roberts, Abigail Green‐Saxena, Sidney Le, Hoyt Burdick, Emily Pellegrini, Jana Hoffman, Alina Y. Rwei, Wei Lu and Lizhu Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Annals of Emergency Medicine and BMC Medical Informatics and Decision Making.

In The Last Decade

Carol Gu

6 papers receiving 166 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Carol Gu United States	5	72	50	41	31	22	6	175
Maximiliano Mollura Italy	7	21 0.3×	35 0.7×	37 0.9×	10 0.3×	25 1.1×	30	285
Eric Geng United States	11	53 0.7×	19 0.4×	36 0.9×	54 1.7×	79 3.6×	24	260
Mohamad Bakhaidar Saudi Arabia	9	55 0.8×	25 0.5×	25 0.6×	41 1.3×	115 5.2×	31	343
Daniel R. Witt United States	5	97 1.3×	11 0.2×	16 0.4×	44 1.4×	29 1.3×	9	306
Renard Xaviero Adhi Pramono United Kingdom	7	28 0.4×	20 0.4×	30 0.7×	79 2.5×	9 0.4×	11	433
Piergiuseppe Liuzzi Italy	11	40 0.6×	154 3.1×	21 0.5×	18 0.6×	22 1.0×	35	307
Shannon M. Fan United States	4	102 1.4×	24 0.5×	30 0.7×	21 0.7×	39 1.8×	8	400
Silvia Campagnini Italy	9	47 0.7×	122 2.4×	16 0.4×	21 0.7×	14 0.6×	29	269
Jennifer Dugan United States	8	43 0.6×	13 0.3×	24 0.6×	46 1.5×	16 0.7×	14	361
Thomas Searle United Kingdom	9	45 0.6×	26 0.5×	25 0.6×	10 0.3×	11 0.5×	20	331

Countries citing papers authored by Carol Gu

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Carol Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Carol Gu. A scholar is included among the top collaborators of Carol Gu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carol Gu. Carol Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Gu, Carol, et al.. (2024). Research on Autonomous Collision Avoidance of USV Based on Improved APF Algorithm. Journal of Physics Conference Series. 2868(1). 12007–12007. 1 indexed citations

2.

Namvari, Mina, et al.. (2022). The Accuracy of Wearable Photoplethysmography Sensors for Telehealth Monitoring: A Scoping Review. Telemedicine Journal and e-Health. 29(6). 813–828. 19 indexed citations

3.

Gu, Carol, et al.. (2022). Using Machine Learning to Predict Hospital Disposition With Geriatric Emergency Department Innovation Intervention. Annals of Emergency Medicine. 81(3). 353–363. 7 indexed citations

4.

Rwei, Alina Y., Wei Lu, Changsheng Wu, et al.. (2020). A wireless, skin-interfaced biosensor for cerebral hemodynamic monitoring in pediatric care. Proceedings of the National Academy of Sciences. 117(50). 31674–31684. 71 indexed citations

5.

Burdick, Hoyt, Carol Gu, Jonathan Roberts, et al.. (2020). Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitals. BMC Medical Informatics and Decision Making. 20(1). 276–276. 29 indexed citations

6.

Burdick, Hoyt, Andrea J. McCoy, Carol Gu, et al.. (2020). Effect of a sepsis prediction algorithm on patient mortality, length of stay and readmission: a prospective multicentre clinical outcomes evaluation of real-world patient data from US hospitals. BMJ Health & Care Informatics. 27(1). e100109–e100109. 48 indexed citations

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.

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