Taiyao Wang

415 total citations
11 papers, 204 citations indexed

About

Taiyao Wang is a scholar working on Epidemiology, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Taiyao Wang has authored 11 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Artificial Intelligence and 2 papers in Infectious Diseases. Recurrent topics in Taiyao Wang's work include Machine Learning in Healthcare (3 papers), Sepsis Diagnosis and Treatment (3 papers) and Ovarian function and disorders (2 papers). Taiyao Wang is often cited by papers focused on Machine Learning in Healthcare (3 papers), Sepsis Diagnosis and Treatment (3 papers) and Ovarian function and disorders (2 papers). Taiyao Wang collaborates with scholars based in United States and China. Taiyao Wang's co-authors include Ioannis Ch. Paschalidis, Daniel Segrè, Qi Zhao, Tingting Xu, Theodora S. Brisimi, Yang Hu, Apostolos Gaitanidis, George C. Velmahos, Kerry Breen and Leo Anthony Celi and has published in prestigious journals such as PLoS ONE, Human Reproduction and eLife.

In The Last Decade

Taiyao Wang

11 papers receiving 203 citations

Peers

Taiyao Wang

MB

AI

RNMI

BE

HIM

Juanjuan Huang China

Mohammad Taghi Ashoobi Iran

Sachin Aryal United States

Ishan Manandhar United States

Mengjiao Li China

M. S. Pokrovskaya Russia

Qu Chen China

Haiwen Gui United States

Svetlana Kutuzova Denmark

Paul C. Pearlman United States

Juanjuan Huang China

Taiyao Wang

50 ×0.7

MB

45 ×1.2

AI

75 ×2.0

RNMI

22 ×0.8

BE

18 ×0.9

HIM

Citations per year, relative to Taiyao Wang Taiyao Wang (= 1×) peers Juanjuan Huang

Countries citing papers authored by Taiyao Wang

Since Specialization

Citations

This map shows the geographic impact of Taiyao Wang'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 Taiyao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taiyao Wang more than expected).

Fields of papers citing papers by Taiyao Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Taiyao Wang. 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 Taiyao Wang. The network helps show where Taiyao Wang may publish in the future.

Co-authorship network of co-authors of Taiyao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Taiyao Wang. A scholar is included among the top collaborators of Taiyao Wang 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 Taiyao Wang. Taiyao Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Herbst, Konrad, et al.. (2024). Multi-Attribute Subset Selection enables prediction of representative phenotypes across microbial populations. Communications Biology. 7(1). 407–407. 1 indexed citations

2.

Jiang, Victoria S., et al.. (2024). Predicting polycystic ovary syndrome with machine learning algorithms from electronic health records. Frontiers in Endocrinology. 15. 1298628–1298628. 14 indexed citations

3.

Samadani, Ali Akbar, et al.. (2023). VAP risk index: Early prediction and hospital phenotyping of ventilator-associated pneumonia using machine learning. Artificial Intelligence in Medicine. 146. 102715–102715. 9 indexed citations

4.

Yland, Jennifer J., Taiyao Wang, Sydney K. Willis, et al.. (2021). Predictive models of pregnancy based on data from a preconception cohort study. Human Reproduction. 37(3). 565–576. 10 indexed citations

5.

Wang, Taiyao, et al.. (2020). Predictive Models of Mortality for Hospitalized Patients With COVID-19: Retrospective Cohort Study. JMIR Medical Informatics. 8(10). e21788–e21788. 9 indexed citations

6.

Bertsimas, Dimitris, Michael Lingzhi Li, Ioannis Ch. Paschalidis, & Taiyao Wang. (2020). Prescriptive analytics for reducing 30-day hospital readmissions after general surgery. PLoS ONE. 15(9). e0238118–e0238118. 5 indexed citations

7.

Wang, Taiyao, Tingting Xu, Yang Hu, et al.. (2020). Early prediction of level-of-care requirements in patients with COVID-19. eLife. 9. 38 indexed citations

8.

Wang, Taiyao & Ioannis Ch. Paschalidis. (2019). Prescriptive Cluster-Dependent Support Vector Machines with an Application to Reducing Hospital Readmissions. 1182–1187. 2 indexed citations

9.

Wang, Taiyao, et al.. (2019). Designing Metabolic Division of Labor in Microbial Communities. mSystems. 4(2). 89 indexed citations

10.

Brisimi, Theodora S., et al.. (2018). Predicting diabetes-related hospitalizations based on electronic health records. Statistical Methods in Medical Research. 28(12). 3667–3682. 21 indexed citations

11.

Xu, Tingting, et al.. (2016). A joint sparse clustering and classification approach with applications to hospitalization prediction. 21. 4566–4571. 6 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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