Cheuk‐Kwong Lee

2.1k citations
18 papers · 623 indexed · h-index 12
Topics
Blood donation and transfusion practices (5 papers)SARS-CoV-2 and COVID-19 Research (3 papers)COVID-19 Clinical Research Studies (3 papers)
Partner nations
Hong KongChinaJapan

In The Last Decade

Cheuk‐Kwong Lee

18 papers receiving 593 citations

Peers

Cheuk‐Kwong Lee
Comparison fields: 5 of 84
  • Infectious Diseases 298
  • Epidemiology 205
  • Artificial Intelligence 94
  • Immunology 57
  • Neurology 56
Replace Mart P. Janssen with:
Mart P. Janssen Netherlands
Tamer Şanlıdağ Cyprus
Mahtab Maghsudlu Iran
Erin E. Gabriel Sweden
Susan A. Galel United States
Sankar Bhattacharyya India
Laura Merson United Kingdom
Manoranjan Ranjit‬ India
Robert HC Chen United States
Cheuk‐Kwong Lee relative to Mart P. Janssen Netherlands Mart P. Janssen's profile →
Citations per field
00.5×3.5×
Mart P. Janssen · 1×
Citations per year

Countries citing papers authored by Cheuk‐Kwong Lee

Since Specialization
Citations

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

Fields of papers citing papers by Cheuk‐Kwong Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheuk‐Kwong Lee. 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 Cheuk‐Kwong Lee. The network helps show where Cheuk‐Kwong Lee may publish in the future.

Co-authorship network of co-authors of Cheuk‐Kwong Lee

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 2
2 30
3 4
4 29
5 2
6 28
7 29
8 18
9 39
10 15
11 10
12 210
13 11
14 34
15
Data Analysis for Healthcare: A Case Study in Blood Donation Center Analysis
7
16 59
17 88
18 8

About Cheuk‐Kwong Lee

Cheuk‐Kwong Lee is a scholar working on Management of Technology and Innovation, Modeling and Simulation and Infectious Diseases, having authored 18 papers that have together received 623 indexed citations. Recurring topics across this work include Blood donation and transfusion practices (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Infectious Diseases (298 citations), Management of Technology and Innovation (53 citations) and Modeling and Simulation (34 citations). Cheuk‐Kwong Lee has collaborated with scholars based in Hong Kong, China and Japan. Frequent co-authors include Patrick C. K. Hung, Noman Mohammed, Benjamin C. M. Fung, Kwok‐Yung Yuen, Ivan Fan‐Ngai Hung, Kelvin Kai‐Wang To, C. K. Lin, Kenny Chan, Raymond Liu and Wing‐Wa Yan. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases and CHEST Journal.

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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