Simon K. S. Cheung

1.4k citations
77 papers · 533 indexed · h-index 13
Topics
Online and Blended Learning (17 papers)Petri Nets in System Modeling (14 papers)Online Learning and Analytics (10 papers)

In The Last Decade

Simon K. S. Cheung

65 papers receiving 492 citations

Peers

Simon K. S. Cheung
Comparison fields: 5 of 91
  • Education 199
  • Computer Science Applications 160
  • Information Systems 137
  • Cardiology and Cardiovascular Medicine 58
  • Developmental and Educational Psychology 52
Replace Hosam F. El-Sofany with:
Hosam F. El-Sofany Egypt
Hadeel Alharbi Saudi Arabia
Alexander O’Connor Ireland
Cheng-Chih Wu Taiwan
Débora Nice Ferrari Barbosa Brazil
Maria Chiara Pettenati Italy
Priscila Valdiviezo-Díaz Ecuador
Agostino Marengo Italy
Samir Bennani Morocco
Samar Ghazal Malaysia
Simon K. S. Cheung relative to Hosam F. El-Sofany Egypt Hosam F. El-Sofany's profile →
Citations per field
00.5×6.4×
Hosam F. El-Sofany · 1×
Citations per year

Countries citing papers authored by Simon K. S. Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Simon K. S. Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon K. S. Cheung. 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 Simon K. S. Cheung. The network helps show where Simon K. S. Cheung may publish in the future.

Co-authorship network of co-authors of Simon K. S. Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of Simon K. S. Cheung. A scholar is included among the top collaborators of Simon K. S. Cheung 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 Simon K. S. Cheung. Simon K. S. Cheung 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
#WorkIndexed citations
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Recent Continuing Education Policies in Hong Kong: A Focus on Short-Term Performance through Inducements.
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About Simon K. S. Cheung

Simon K. S. Cheung is a scholar working on Computer Science Applications, Computational Theory and Mathematics and Management Information Systems, having authored 77 papers that have together received 533 indexed citations. Recurring topics across this work include Online and Blended Learning (17 papers), Petri Nets in System Modeling (14 papers) and Online Learning and Analytics (10 papers). The work is most often cited by research in Computer Science Applications (160 citations), Education (199 citations) and Information Systems (137 citations). Simon K. S. Cheung has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Lam For Kwok, Kam Cheong Li, Lap–Kei Lee, Rita Watson, Billy Tak Ming Wong, Fu Lee Wang, James Lam, Reggie Kwan, Tsang Cheung and Petra Poulová. Their work appears in journals such as Frontiers in Psychology, Sustainability and Medical Teacher.

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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