Fuchiang Tsui

1.6k total citations
68 papers, 999 citations indexed

About

Fuchiang Tsui is a scholar working on Epidemiology, Artificial Intelligence and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Fuchiang Tsui has authored 68 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Epidemiology, 23 papers in Artificial Intelligence and 12 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Fuchiang Tsui's work include Data-Driven Disease Surveillance (28 papers), Influenza Virus Research Studies (15 papers) and Anomaly Detection Techniques and Applications (12 papers). Fuchiang Tsui is often cited by papers focused on Data-Driven Disease Surveillance (28 papers), Influenza Virus Research Studies (15 papers) and Anomaly Detection Techniques and Applications (12 papers). Fuchiang Tsui collaborates with scholars based in United States, Taiwan and Argentina. Fuchiang Tsui's co-authors include Michael M. Wagner, Jeremy U. Espino, Gregory F. Cooper, Lingyun Shi, Ye Ye, Per H. Gesteland, Vı́ctor Ruiz, Virginia Dato, William R. Hogan and Neal D. Ryan and has published in prestigious journals such as PLoS ONE, Journal of the American Academy of Child & Adolescent Psychiatry and Anesthesiology.

In The Last Decade

Fuchiang Tsui

63 papers receiving 951 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fuchiang Tsui United States 16 486 281 144 112 104 68 999
Aman Verma Canada 18 336 0.7× 132 0.5× 105 0.7× 72 0.6× 191 1.8× 67 1.4k
Katherine E Goodman United States 17 289 0.6× 125 0.4× 81 0.6× 76 0.7× 82 0.8× 50 1.3k
Smadar Shilo Israel 20 137 0.3× 126 0.4× 246 1.7× 51 0.5× 167 1.6× 41 1.4k
Robert Jakob Switzerland 14 217 0.4× 63 0.2× 168 1.2× 152 1.4× 145 1.4× 33 1.1k
Brian W. Patterson United States 17 106 0.2× 84 0.3× 59 0.4× 153 1.4× 115 1.1× 90 935
Nam K. Tran United States 25 521 1.1× 595 2.1× 253 1.8× 41 0.4× 159 1.5× 115 2.5k
Jennifer M. Radin United States 17 311 0.6× 87 0.3× 47 0.3× 171 1.5× 134 1.3× 35 1.2k
Jenna Wiens United States 26 396 0.8× 775 2.8× 210 1.5× 94 0.8× 222 2.1× 81 2.4k
Hyokyoung G. Hong United States 17 275 0.6× 184 0.7× 146 1.0× 117 1.0× 79 0.8× 69 1.3k
Ruiyan Luo United States 18 191 0.4× 166 0.6× 149 1.0× 122 1.1× 130 1.3× 77 1.4k

Countries citing papers authored by Fuchiang Tsui

Since Specialization
Citations

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

Fields of papers citing papers by Fuchiang Tsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuchiang Tsui

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

All Works

20 of 20 papers shown
1.
Visoki, Elina, Tyler M. Moore, Vı́ctor Ruiz, et al.. (2025). Prediction of Adolescent Suicide Attempt by Integrating Clinical, Neurocognitive and Geocoded Neighborhood Environment Data. Schizophrenia Bulletin. 51(4). 895–905. 2 indexed citations
2.
Greeno, Catherine G., Neal D. Ryan, Fuchiang Tsui, et al.. (2025). A Prospective Examination of the Predictive Validity of Three Transdiagnostic Assessments of Risk for Suicidal Behavior: Psychache, the Interpersonal Theory of Suicide, and Reasons for Living. Journal of the American Academy of Child & Adolescent Psychiatry.
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Simpao, Allan F., Vı́ctor Ruiz, Wallis T. Muhly, et al.. (2023). Predicting pediatric emergence delirium using data-driven machine learning applied to electronic health record dataset at a quaternary care pediatric hospital. JAMIA Open. 6(4). ooad106–ooad106. 1 indexed citations
6.
Silva, Luiz Eduardo, Constantine Mavroudis, Yuxi Lin, et al.. (2023). Influence of Chest Compression on Amplitude Spectrum Area for the Prediction of the Return of Spontaneous Circulation in a Pediatric Swine Model. Computing in cardiology. 1 indexed citations
7.
Silva, Luiz Eduardo Virgílio, Ryan W. Morgan, Yuxi Lin, et al.. (2023). Prediction of Return of Spontaneous Circulation in a Pediatric Swine Model of Cardiac Arrest Using Low-Resolution Multimodal Physiological Waveforms. IEEE Journal of Biomedical and Health Informatics. 27(10). 4719–4727. 1 indexed citations
8.
Han, Sifei, Lingyun Shi, Russell Richie, et al.. (2022). Classifying social determinants of health from unstructured electronic health records using deep learning-based natural language processing. Journal of Biomedical Informatics. 127. 103984–103984. 74 indexed citations
9.
Simpao, Allan F., Lezhou Wu, Jorge A. Gálvez, et al.. (2020). Preoperative Fluid Fasting Times and Postinduction Low Blood Pressure in Children. Anesthesiology. 133(3). 523–533. 39 indexed citations
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Masino, Aaron J., et al.. (2019). A Narrative Review of Analytics in Pediatric Cardiac Anesthesia and Critical Care Medicine. Journal of Cardiothoracic and Vascular Anesthesia. 34(2). 479–482. 9 indexed citations
12.
Ruiz, Vı́ctor, et al.. (2019). Early prediction of critical events for infants with single-ventricle physiology in critical care using routinely collected data. Journal of Thoracic and Cardiovascular Surgery. 158(1). 234–243.e3. 30 indexed citations
13.
Aronis, John M., Michael M. Wagner, Fuchiang Tsui, et al.. (2017). A Bayesian system to detect and characterize overlapping outbreaks. Journal of Biomedical Informatics. 73. 171–181. 4 indexed citations
14.
Posada, Jose, et al.. (2017). Predictive modeling for classification of positive valence system symptom severity from initial psychiatric evaluation records. Journal of Biomedical Informatics. 75. S94–S104. 12 indexed citations
15.
Ferraro, Jeffrey P., Ye Ye, Per H. Gesteland, et al.. (2017). The effects of natural language processing on cross-institutional portability of influenza case detection for disease surveillance. Applied Clinical Informatics. 8(2). 560–580. 7 indexed citations
16.
Pineda, Arturo López, Ye Ye, Shyam Visweswaran, et al.. (2015). Comparison of machine learning classifiers for influenza detection from emergency department free-text reports. Journal of Biomedical Informatics. 58. 60–69. 66 indexed citations
17.
Cooper, Gregory F., et al.. (2014). A method for detecting and characterizing outbreaks of infectious disease from clinical reports. Journal of Biomedical Informatics. 53. 15–26. 19 indexed citations
18.
Gesteland, Per H., Michael M. Wagner, Wendy W. Chapman, et al.. (2002). Rapid deployment of an electronic disease surveillance system in the state of Utah for the 2002 Olympic Winter Games.. PubMed. 285–9. 28 indexed citations
19.
Hogan, William R., Michael M. Wagner, & Fuchiang Tsui. (2002). Experience with Message Format and Code Set Standards for Early Warning Public Health Surveillance Systems. Europe PMC (PubMed Central). 1044–1044. 1 indexed citations
20.
Tsui, Fuchiang, Ching-Chung Li, Mingui Sun, & Robert J. Sclabassi. (2002). A comparative study of two biorthogonal wavelet transforms in time series prediction. 2. 1791–1796. 13 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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