Wieying Kuo

870 total citations
18 papers, 640 citations indexed

About

Wieying Kuo is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Wieying Kuo has authored 18 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 4 papers in Surgery and 3 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Wieying Kuo's work include Tracheal and airway disorders (9 papers), Cystic Fibrosis Research Advances (7 papers) and Neonatal Respiratory Health Research (6 papers). Wieying Kuo is often cited by papers focused on Tracheal and airway disorders (9 papers), Cystic Fibrosis Research Advances (7 papers) and Neonatal Respiratory Health Research (6 papers). Wieying Kuo collaborates with scholars based in Netherlands, Denmark and Australia. Wieying Kuo's co-authors include Harm A.W.M. Tiddens, Marleen de Bruijne, Pierluigi Ciet, Marcel van Straten, Adria Perez‐Rovira, Tim Rosenow, Stephen M. Stick, Sarath Ranganathan, Lidija Turkovic and Conor Murray and has published in prestigious journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and European Respiratory Journal.

In The Last Decade

Wieying Kuo

18 papers receiving 636 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wieying Kuo Netherlands	13	550	79	79	74	74	18	640
Marcos F. Vidal Melo United States	13	398 0.7×	124 1.6×	145 1.8×	46 0.6×	96 1.3×	19	669
Naoko Kawata Japan	13	401 0.7×	45 0.6×	37 0.5×	25 0.3×	68 0.9×	51	510
Mario Barone Italy	13	403 0.7×	150 1.9×	42 0.5×	31 0.4×	63 0.9×	35	517
Sang Young Oh South Korea	16	568 1.0×	58 0.7×	104 1.3×	74 1.0×	186 2.5×	49	739
Komal Chughtai United States	4	405 0.7×	47 0.6×	85 1.1×	22 0.3×	101 1.4×	7	540
Gianna Camiciottoli Italy	17	731 1.3×	42 0.5×	73 0.9×	53 0.7×	68 0.9×	33	857
J G Im South Korea	7	347 0.6×	109 1.4×	37 0.5×	39 0.5×	39 0.5×	9	414
Stephan Altmayer Brazil	15	312 0.6×	98 1.2×	26 0.3×	70 0.9×	285 3.9×	75	658
M G Stein United States	7	385 0.7×	77 1.0×	83 1.1×	20 0.3×	129 1.7×	8	502
Giro Todo Japan	13	233 0.4×	69 0.9×	64 0.8×	58 0.8×	94 1.3×	23	426

Countries citing papers authored by Wieying Kuo

Since Specialization

Citations

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

Fields of papers citing papers by Wieying Kuo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wieying Kuo

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

All Works

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18 of 18 papers shown

Cheplygina, Veronika, Adria Perez‐Rovira, Wieying Kuo, Harm A.W.M. Tiddens, & Marleen de Bruijne. (2021). Crowdsourcing airway annotations in chest computed tomography images. PLoS ONE. 16(4). e0249580–e0249580. 1 indexed citations

Kuo, Wieying, et al.. (2020). Airway tapering: an objective image biomarker for bronchiectasis. European Radiology. 30(5). 2703–2711. 19 indexed citations

Kuo, Wieying, et al.. (2020). Assessment of early lung disease in young children with CF: A comparison between pressure‐controlled and free‐breathing chest computed tomography. Pediatric Pulmonology. 55(5). 1161–1168. 11 indexed citations

Tiddens, Harm A.W.M., Wieying Kuo, Marcel van Straten, & Pierluigi Ciet. (2018). Paediatric lung imaging: the times they are a-changin'. European Respiratory Review. 27(147). 170097–170097. 24 indexed citations

Kuo, Wieying, Marleen de Bruijne, Jens Petersen, et al.. (2017). Diagnosis of bronchiectasis and airway wall thickening in children with cystic fibrosis: Objective airway-artery quantification. European Radiology. 27(11). 4680–4689. 61 indexed citations

Kuo, Wieying, Eleni‐Rosalina Andrinopoulou, Tim Rosenow, et al.. (2017). Quantitative assessment of airway dimensions in young children with cystic fibrosis lung disease using chest computed tomography. Pediatric Pulmonology. 52(11). 1414–1423. 35 indexed citations

Kuo, Wieying, Pierluigi Ciet, Eleni‐Rosalina Andrinopoulou, et al.. (2017). Reference Values for Central Airway Dimensions on CT Images of Children and Adolescents. American Journal of Roentgenology. 210(2). 423–430. 26 indexed citations

Kuo, Wieying, Adria Perez‐Rovira, Marleen de Bruijne, et al.. (2016). Multicentre chest computed tomography standardisation in children and adolescents with cystic fibrosis: the way forward. European Respiratory Journal. 47(6). 1706–1717. 33 indexed citations

Perez‐Rovira, Adria, Wieying Kuo, Jens Petersen, Harm A.W.M. Tiddens, & Marleen de Bruijne. (2016). Automatic airway–artery analysis on lung CT to quantify airway wall thickening and bronchiectasis. Medical Physics. 43(10). 5736–5744. 35 indexed citations

10.

Kuo, Wieying, et al.. (2016). Objective airway artery dimensions compared to CT scoring methods assessing structural cystic fibrosis lung disease. Journal of Cystic Fibrosis. 16(1). 116–123. 27 indexed citations

11.

Kuo, Wieying, et al.. (2016). WS08.3 CF-CT and PRAGMA-CF scoring techniques compared using quantification with objective airway and artery dimensions of children with cystic fibrosis. Journal of Cystic Fibrosis. 15. S13–S13. 1 indexed citations

12.

Lever, Sandra, et al.. (2016). Spirometer guided chest imaging in children: It is worth the effort!. Pediatric Pulmonology. 52(1). 48–56. 43 indexed citations

13.

Rosenow, Tim, Conor Murray, Lidija Turkovic, et al.. (2015). PRAGMA-CF. A Quantitative Structural Lung Disease Computed Tomography Outcome in Young Children with Cystic Fibrosis. American Journal of Respiratory and Critical Care Medicine. 191(10). 1158–1165. 174 indexed citations

14.

Perez‐Rovira, Adria, Wieying Kuo, Jens Petersen, Harm A.W.M. Tiddens, & Marleen de Bruijne. (2015). Automated quantification of bronchiectasis, airway wall thickening and lumen tapering in chest CT. Research at the University of Copenhagen (University of Copenhagen). 2 indexed citations

15.

Kuo, Wieying, Pierluigi Ciet, Harm A.W.M. Tiddens, et al.. (2014). Monitoring Cystic Fibrosis Lung Disease by Computed Tomography. Radiation Risk in Perspective. American Journal of Respiratory and Critical Care Medicine. 189(11). 1328–1336. 102 indexed citations

16.

Rosenow, Tim, Wieying Kuo, Marleen de Bruijne, et al.. (2014). A new gold standard for assessing CT in early CF lung disease?. European Respiratory Journal. 44(Suppl 58). 3446–3446. 1 indexed citations

17.

Redding, Gregory J., Wieying Kuo, Jonathan O. Swanson, et al.. (2012). Upper thoracic shape in children with pectus excavatum: Impact on lung function. Pediatric Pulmonology. 48(8). 817–823. 16 indexed citations

18.

Aquino, Sara, et al.. (1999). The CT appearance of pleural and extrapleural disease in lymphoma. Clinical Radiology. 54(10). 647–650. 29 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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