Chin‐Chieh Wu

738 total citations
29 papers, 476 citations indexed

About

Chin‐Chieh Wu is a scholar working on Epidemiology, Surgery and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Chin‐Chieh Wu has authored 29 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Epidemiology, 7 papers in Surgery and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Chin‐Chieh Wu's work include Sepsis Diagnosis and Treatment (16 papers), Hemodynamic Monitoring and Therapy (5 papers) and Clinical Reasoning and Diagnostic Skills (4 papers). Chin‐Chieh Wu is often cited by papers focused on Sepsis Diagnosis and Treatment (16 papers), Hemodynamic Monitoring and Therapy (5 papers) and Clinical Reasoning and Diagnostic Skills (4 papers). Chin‐Chieh Wu collaborates with scholars based in Taiwan, United States and South Korea. Chin‐Chieh Wu's co-authors include Kuan‐Fu Chen, Su‐Hsun Liu, Chun‐Fu Yeh, Shih-Tsung Han, Chung‐Hsien Chaou, Zhen-Ying Liu, Chih-Huang Li, I‐Shiang Tzeng, Chun-Kuei Chen and Jingyi Jiang and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Medicine.

In The Last Decade

Chin‐Chieh Wu

27 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chin‐Chieh Wu Taiwan 11 321 119 90 79 64 29 476
Clara Arango Colombia 8 378 1.2× 114 1.0× 95 1.1× 86 1.1× 96 1.5× 13 705
Yuhei Irie Japan 10 413 1.3× 192 1.6× 137 1.5× 116 1.5× 104 1.6× 31 600
Chih-Huang Li Taiwan 11 314 1.0× 88 0.7× 124 1.4× 78 1.0× 53 0.8× 29 484
Juhyun Song South Korea 11 310 1.0× 47 0.4× 105 1.2× 82 1.0× 80 1.3× 40 531
Helena Brodská Czechia 12 205 0.6× 95 0.8× 46 0.5× 79 1.0× 36 0.6× 32 516
Gian Paolo Castelli Italy 4 393 1.2× 129 1.1× 166 1.8× 138 1.7× 66 1.0× 4 569
Jeffrey Nowak United States 15 377 1.2× 86 0.7× 117 1.3× 124 1.6× 64 1.0× 28 665
Patrick J. van der Geest Netherlands 9 232 0.7× 92 0.8× 110 1.2× 64 0.8× 21 0.3× 14 424
Rebecca L. Qualy United States 9 337 1.0× 60 0.5× 78 0.9× 107 1.4× 33 0.5× 13 540
María Heredia‐Rodríguez Spain 16 309 1.0× 49 0.4× 87 1.0× 100 1.3× 132 2.1× 37 641

Countries citing papers authored by Chin‐Chieh Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chin‐Chieh Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin‐Chieh Wu. 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 Chin‐Chieh Wu. The network helps show where Chin‐Chieh Wu may publish in the future.

Co-authorship network of co-authors of Chin‐Chieh Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chin‐Chieh Wu. A scholar is included among the top collaborators of Chin‐Chieh Wu 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 Chin‐Chieh Wu. Chin‐Chieh Wu 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
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2.
Chen, Shuhui, Chin‐Chieh Wu, & Kuan‐Fu Chen. (2025). Navigating AI in cardiology: A scoping review of integration through clinical decision support systems for acute coronary syndrome. Biomedical Journal. 48(5). 100853–100853. 1 indexed citations
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Wu, Chin‐Chieh, Men‐Tzung Lo, Christophe L. Herry, et al.. (2024). Derivation and validation of heart rate variability based Machine learning prognostic models for patients with suspected sepsis. Biomedical Signal Processing and Control. 99. 106854–106854.
5.
Chen, Kuan‐Fu, Chin‐Chieh Wu, Ismaeel Yunusa, et al.. (2023). Diagnostic accuracy of clinical signs and symptoms of COVID-19: A systematic review and meta-analysis to investigate the different estimates in a different stage of the pandemic outbreak. Journal of Global Health. 13. 6026–6026. 7 indexed citations
6.
Yen, Shih-Chieh, Chin‐Chieh Wu, Yi‐Ju Tseng, Chih-Huang Li, & Kuan‐Fu Chen. (2023). Using time-course as an essential factor to accurately predict sepsis-associated mortality among patients with suspected sepsis. Biomedical Journal. 47(3). 100632–100632. 4 indexed citations
7.
Li, Jinhua, Chin‐Chieh Wu, Yi‐Ju Tseng, et al.. (2022). Applying symptom dynamics to accurately predict influenza virus infection: An international multicenter influenza‐like illness surveillance study. Influenza and Other Respiratory Viruses. 17(1). e13081–e13081. 1 indexed citations
8.
Wu, Chin‐Chieh, Jinhua Li, Christian Lee, et al.. (2022). Developing and validating clinical features-based machine learning algorithms to predict influenza infection in influenza-like illness patients. Biomedical Journal. 46(5). 100561–100561. 9 indexed citations
9.
Yeh, Kuo‐Wei, Jing‐Long Huang, Kuan‐Wen Su, et al.. (2021). Longitudinal changes in body mass index Z-scores during infancy and risk of childhood allergies. Journal of Microbiology Immunology and Infection. 55(5). 956–964. 9 indexed citations
10.
Chang, Ling‐Yin, Ming‐Chang Kao, I‐Shiang Tzeng, et al.. (2019). Optimal measuring timing of cystatin C for early detection of contrast-induced acute kidney injury: A systematic review and meta-analysis. Toxicology Letters. 318. 65–73. 12 indexed citations
11.
Lin, Chih-Chuan, et al.. (2019). Could we employ the queueing theory to improve efficiency during future mass causality incidents?. Scandinavian Journal of Trauma Resuscitation and Emergency Medicine. 27(1). 41–41. 7 indexed citations
12.
Wu, Chin‐Chieh, Shih-Tsung Han, Chung‐Hsien Chaou, et al.. (2017). Comparison of diagnostic accuracy in sepsis between presepsin, procalcitonin, and C-reactive protein: a systematic review and meta-analysis. Annals of Intensive Care. 7(1). 91–91. 137 indexed citations
13.
Liu, Su‐Hsun, et al.. (2016). STROBE-compliant article. Medicine. 95(4). e2601–e2601. 6 indexed citations
14.
Chen, Kuan‐Fu, et al.. (2016). Diagnostic Accuracy of Lipopolysaccharide-Binding Protein as Biomarker for Sepsis in Adult Patients: A Systematic Review and Meta-Analysis. PLoS ONE. 11(4). e0153188–e0153188. 31 indexed citations
15.
Chen, Chun-Kuei, et al.. (2016). STARD-compliant article. Medicine. 95(24). e3692–e3692. 16 indexed citations
16.
Tzeng, I‐Shiang, Su‐Hsun Liu, Kuan‐Fu Chen, Chin‐Chieh Wu, & Jih-Chang Chen. (2016). Impact of performance grading on annual numbers of acute myocardial infarction-associated emergency department visits in Taiwan. Medicine. 95(42). e4937–e4937. 4 indexed citations
17.
Chen, Kuan‐Fu, Su‐Hsun Liu, Chih-Huang Li, et al.. (2016). Development and validation of a parsimonious and pragmatic CHARM score to predict mortality in patients with suspected sepsis. The American Journal of Emergency Medicine. 35(4). 640–646. 20 indexed citations
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Chen, Kuan‐Fu, et al.. (2015). Double-balloon enteroscopy-assisted endoscopic retrograde cholangiography for Roux-en-Y reconstruction patients with papilla of Vater or bilioenteric anastomosis. Scandinavian Journal of Gastroenterology. 51(1). 95–102. 12 indexed citations
20.
Lee, Hung‐Chieh, Chin‐Chieh Wu, Sheng‐Nan Chang, et al.. (2015). Amiodarone Induces Overexpression of Similar to Versican b to Repress the EGFR/Gsk3b/Snail Signaling Axis during Cardiac Valve Formation of Zebrafish Embryos. PLoS ONE. 10(12). e0144751–e0144751. 5 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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