Daniel Wai‐Sing Chu

2.1k total citations
9 papers, 1.5k citations indexed

About

Daniel Wai‐Sing Chu is a scholar working on Epidemiology, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel Wai‐Sing Chu has authored 9 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 3 papers in Infectious Diseases and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel Wai‐Sing Chu's work include Influenza Virus Research Studies (5 papers), Respiratory viral infections research (3 papers) and Atrial Fibrillation Management and Outcomes (3 papers). Daniel Wai‐Sing Chu is often cited by papers focused on Influenza Virus Research Studies (5 papers), Respiratory viral infections research (3 papers) and Atrial Fibrillation Management and Outcomes (3 papers). Daniel Wai‐Sing Chu collaborates with scholars based in Hong Kong, United States and China. Daniel Wai‐Sing Chu's co-authors include Jiankang Liu, George A. Brooks, Stephanie J. Doniger, Helen Yeo, Bruce N. Ames, Tory M. Hagen, Rita O. P. Fung, Malik Peiris, GM Leung and Vicky J. Fang and has published in prestigious journals such as New England Journal of Medicine, Annals of Internal Medicine and Clinical Infectious Diseases.

In The Last Decade

Daniel Wai‐Sing Chu

8 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Wai‐Sing Chu Hong Kong 8 646 310 298 247 185 9 1.5k
Zhen Zhu China 33 1.0k 1.6× 739 2.4× 59 0.2× 1.2k 4.9× 258 1.4× 131 3.4k
Wen Wang China 21 295 0.5× 119 0.4× 64 0.2× 997 4.0× 232 1.3× 72 2.3k
Peter Francis Raguindin Switzerland 18 123 0.2× 69 0.2× 126 0.4× 439 1.8× 143 0.8× 52 1.5k
Fabrí­cio Azevedo Voltarelli Brazil 22 193 0.3× 114 0.4× 26 0.1× 226 0.9× 28 0.2× 111 1.4k
Paulina A. Rebolledo United States 15 162 0.3× 120 0.4× 62 0.2× 1.0k 4.1× 165 0.9× 54 2.7k
Yonas Akalu Ethiopia 16 136 0.2× 79 0.3× 173 0.6× 178 0.7× 35 0.2× 52 1.1k
Lawrence Lee United States 27 306 0.5× 76 0.2× 84 0.3× 694 2.8× 232 1.3× 74 2.3k
Eun Jung Lee South Korea 21 411 0.6× 27 0.1× 107 0.4× 630 2.6× 131 0.7× 98 1.8k
Steven C. Castle United States 19 585 0.9× 71 0.2× 19 0.1× 170 0.7× 66 0.4× 44 1.9k
Roger Mills United States 12 2.0k 3.1× 138 0.4× 175 0.6× 529 2.1× 84 0.5× 20 3.3k

Countries citing papers authored by Daniel Wai‐Sing Chu

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Wai‐Sing Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Wai‐Sing Chu. 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 Daniel Wai‐Sing Chu. The network helps show where Daniel Wai‐Sing Chu may publish in the future.

Co-authorship network of co-authors of Daniel Wai‐Sing Chu

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

All Works

9 of 9 papers shown
1.
Poh, Ming‐Zher, Yukkee C. Poh, Pak‐Hei Chan, et al.. (2018). Diagnostic assessment of a deep learning system for detecting atrial fibrillation in pulse waveforms. Heart. 104(23). 1921–1928. 84 indexed citations
3.
Chan, Pak‐Hei, Chun‐Ka Wong, Yukkee C. Poh, et al.. (2016). Diagnostic Performance of a Smartphone‐Based Photoplethysmographic Application for Atrial Fibrillation Screening in a Primary Care Setting. Journal of the American Heart Association. 5(7). 170 indexed citations
4.
Chu, Daniel Wai‐Sing, et al.. (2011). Cross-clade immunogenicity and safety of an AS03A-adjuvanted prepandemic H5N1 influenza vaccine in Hong Kong.. PubMed. 17(1). 39–46. 1 indexed citations
5.
Cowling, Benjamin J., Kwok Hung Chan, Vicky J. Fang, et al.. (2010). Comparative Epidemiology of Pandemic and Seasonal Influenza A in Households. New England Journal of Medicine. 362(23). 2175–2184. 285 indexed citations
6.
Hung, Ivan Fan‐Ngai, Angela Yee Man Leung, Daniel Wai‐Sing Chu, et al.. (2010). Prevention of Acute Myocardial Infarction and Stroke among Elderly Persons by Dual Pneumococcal and Influenza Vaccination: A Prospective Cohort Study. Clinical Infectious Diseases. 51(9). 1007–1016. 114 indexed citations
7.
Chu, Daniel Wai‐Sing, Shinn‐Jang Hwang, Fong Seng Lim, et al.. (2009). Immunogenicity and tolerability of an AS03A-adjuvanted prepandemic influenza vaccine: A phase III study in a large population of Asian adults. Vaccine. 27(52). 7428–7435. 77 indexed citations
8.
Cowling, Benjamin J., Kwok‐Hung Chan, Vicky J. Fang, et al.. (2009). Facemasks and Hand Hygiene to Prevent Influenza Transmission in Households. Annals of Internal Medicine. 151(7). 437–446. 400 indexed citations
9.
Liu, Jiankang, Helen Yeo, Tory M. Hagen, et al.. (2000). Chronically and acutely exercised rats: biomarkers of oxidative stress and endogenous antioxidants. Journal of Applied Physiology. 89(1). 21–28. 356 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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