Chun‐Fu Yeh

1.2k total citations
24 papers, 609 citations indexed

About

Chun‐Fu Yeh is a scholar working on Epidemiology, Infectious Diseases and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chun‐Fu Yeh has authored 24 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 6 papers in Infectious Diseases and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chun‐Fu Yeh's work include Antimicrobial Resistance in Staphylococcus (4 papers), Sepsis Diagnosis and Treatment (4 papers) and Bacterial Identification and Susceptibility Testing (3 papers). Chun‐Fu Yeh is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (4 papers), Sepsis Diagnosis and Treatment (4 papers) and Bacterial Identification and Susceptibility Testing (3 papers). Chun‐Fu Yeh collaborates with scholars based in Taiwan and United States. Chun‐Fu Yeh's co-authors include Kuan‐Fu Chen, Chin‐Chieh Wu, Su‐Hsun Liu, Jing-Ya Ding, Shih-Tsung Han, Han-Po Shih, Cheng‐Lung Ku, Jang‐Jih Lu, Tsui-Ping Liu and Shih‐Cheng Chang and has published in prestigious journals such as Nature Medicine, PLoS ONE and Journal of Clinical Microbiology.

In The Last Decade

Chun‐Fu Yeh

23 papers receiving 600 citations

Peers

Chun‐Fu Yeh
G. Paul Voorn Netherlands
Charles A. Ellis United States
R.J.A. Diepersloot Netherlands
Rosa Bologna Argentina
Kenan Hızel Türkiye
G. Paul Voorn Netherlands
Chun‐Fu Yeh
Citations per year, relative to Chun‐Fu Yeh Chun‐Fu Yeh (= 1×) peers G. Paul Voorn

Countries citing papers authored by Chun‐Fu Yeh

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Fu Yeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Fu Yeh. 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 Chun‐Fu Yeh. The network helps show where Chun‐Fu Yeh may publish in the future.

Co-authorship network of co-authors of Chun‐Fu Yeh

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Fu Yeh. A scholar is included among the top collaborators of Chun‐Fu Yeh 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 Chun‐Fu Yeh. Chun‐Fu Yeh 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.
Yeh, Chun‐Fu, Wei‐Jen Chen, Cheng-Han Tsai, et al.. (2024). Artificial intelligence interpretation of touch print smear cytology of testicular specimen from patients with azoospermia. Journal of Assisted Reproduction and Genetics. 41(11). 3179–3187.
2.
Moon, Seungwhan, Andrea Madotto, Zhaojiang Lin, et al.. (2024). AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model. 1314–1332. 14 indexed citations
3.
Wang, Shang‐Yu, Yi‐Hui Wu, Mao‐Wang Ho, et al.. (2024). The Pathogenic Role of Anti-Granulocyte-Macrophage Colony-Stimulating Factor Autoantibodies in the Nocardiosis with the Central Nervous System Involvement. Journal of Clinical Immunology. 44(8). 176–176. 2 indexed citations
4.
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
5.
Tsai, Ching‐Yao, et al.. (2022). Necessity of Local Modification for Deep Learning Algorithms to Predict Diabetic Retinopathy. International Journal of Environmental Research and Public Health. 19(3). 1204–1204. 9 indexed citations
6.
Tsai, Lung‐Wen, Kuo-Ching Yuan, Sen‐Kuang Hou, et al.. (2022). Determining Carina and Clavicular Distance-Dependent Positioning of Endotracheal Tube in Critically Ill Patients: An Artificial Intelligence-Based Approach. Biology. 11(4). 490–490. 1 indexed citations
7.
Shih, Han-Po, et al.. (2021). Anti-interferon-γ autoantibody-associated immunodeficiency. Current Opinion in Immunology. 72. 206–214. 43 indexed citations
8.
Chen, Hao‐Ling, et al.. (2021). Development and Feasibility of a Kinect-Based Constraint-Induced Therapy Program in the Home Setting for Children With Unilateral Cerebral Palsy. Frontiers in Bioengineering and Biotechnology. 9. 755506–755506. 8 indexed citations
9.
Yeh, Chun‐Fu, Chin‐Chieh Wu, Su‐Hsun Liu, & Kuan‐Fu Chen. (2019). Comparison of the accuracy of neutrophil CD64, procalcitonin, and C-reactive protein for sepsis identification: a systematic review and meta-analysis. Annals of Intensive Care. 9(1). 5–5. 66 indexed citations
10.
Liu, Tsui-Ping, Po‐Yen Huang, Chun‐Fu Yeh, et al.. (2018). Clinical features, outcomes, and molecular characteristics of an outbreak of Staphylococcus haemolyticus infection, among a mass-burn casualty patient group, in a tertiary center in northern Taiwan. Journal of Microbiology Immunology and Infection. 51(6). 847–855. 11 indexed citations
11.
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.
Lin, Chia‐Hao, Han-Po Shih, Jing-Ya Ding, et al.. (2016). Identification of a major epitope by anti-interferon-γ autoantibodies in patients with mycobacterial disease. Nature Medicine. 22(9). 994–1001. 71 indexed citations
14.
Yu, Wen‐Shyong & Chun‐Fu Yeh. (2016). Robot foot trajectory tracking motion control using Kinect. pp. 1–5. 1 indexed citations
15.
Ye, Jung-Jr, Huang-Shen Lin, Chun‐Fu Yeh, et al.. (2016). Tigecycline-based versus sulbactam-based treatment for pneumonia involving multidrug-resistant Acinetobacter calcoaceticus-Acinetobacter baumannii complex. BMC Infectious Diseases. 16(1). 374–374. 23 indexed citations
16.
Chen, Hao‐Ling, Chun‐Fu Yeh, & Tsu-Hsin Howe. (2015). Postural control during standing reach in children with Down syndrome. Research in Developmental Disabilities. 38. 345–351. 25 indexed citations
17.
Cheng, Chun-Wen, Tsui-Ping Liu, Chun‐Fu Yeh, et al.. (2015). Persistence of a major endemic clone of oxacillin-resistant Staphylococcus lugdunensis sequence type 6 at a tertiary medical centre in northern Taiwan. International Journal of Infectious Diseases. 36. 72–77. 17 indexed citations
18.
Yeh, Chun‐Fu, Tsui-Ping Liu, Chun-Wen Cheng, et al.. (2015). Molecular Characteristics of Disease-Causing and Commensal Staphylococcus lugdunensis Isolates from 2003 to 2013 at a Tertiary Hospital in Taiwan. PLoS ONE. 10(8). e0134859–e0134859. 18 indexed citations
19.
Yeh, Chun‐Fu, Kuan‐Fu Chen, Jung-Jr Ye, & Ching‐Tai Huang. (2013). Derivation of a clinical prediction rule for bloodstream infection mortality of patients visiting the emergency department based on predisposition, infection, response, and organ dysfunction concept. Journal of Microbiology Immunology and Infection. 47(6). 469–477. 20 indexed citations
20.
Yeh, Chun‐Fu, et al.. (2012). Early prediction of acute kidney injury in patients with acute myocardial injury. Journal of Critical Care. 27(5). 525.e1–525.e7. 21 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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