Kam Cheong Li

1.7k citations
88 papers · 900 indexed · h-index 16
Topics
Online Learning and Analytics (44 papers)Online and Blended Learning (27 papers)E-Learning and Knowledge Management (21 papers)
Journals
SHILAP Revista de lepidopterologíaFrontiers in PsychologySustainability
Partner nations
Hong KongChinaBangladesh

In The Last Decade

Kam Cheong Li

81 papers receiving 837 citations

Peers

Kam Cheong Li
Comparison fields: 5 of 82
  • Computer Science Applications 451
  • Education 400
  • Information Systems 252
  • Developmental and Educational Psychology 157
  • Artificial Intelligence 112
Replace Maren Scheffel with:
Maren Scheffel Germany
Young Hoan Cho South Korea
Kyungbin Kwon United States
Daner Sun Hong Kong
Chengyuan Jia Hong Kong
Rianne Conijn Netherlands
Donggil Song United States
Jane Yin-Kim Yau United Kingdom
Rwitajit Majumdar Japan
Peter Mozelius Sweden
Kam Cheong Li relative to Maren Scheffel Germany Maren Scheffel's profile →
Citations per field
00.5×
Maren Scheffel · 1×
Citations per year

Countries citing papers authored by Kam Cheong Li

Since Specialization
Citations

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

Fields of papers citing papers by Kam Cheong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kam Cheong Li. 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 Kam Cheong Li. The network helps show where Kam Cheong Li may publish in the future.

Co-authorship network of co-authors of Kam Cheong Li

This figure shows the co-authorship network connecting the top 25 collaborators of Kam Cheong Li. A scholar is included among the top collaborators of Kam Cheong Li 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 Kam Cheong Li. Kam Cheong Li 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
1 5
2 3
3 0
4 9
5 3
6 2
7 5
8 3
9 4
10 11
11 22
12 10
13 1
14 0
15 15
16
Hong Kong teachers’ English Oral Input in Kindergarten Classrooms
1
17
Learning Analytics at Low Cost: At-Risk Student Prediction with Clicker Data and Systematic Proactive Interventions
62
18 10
19
Readiness development of open educational resources in Hong Kong
4
20 9

About Kam Cheong Li

Kam Cheong Li is a scholar working on Computer Science Applications, Health Informatics and Education, having authored 88 papers that have together received 900 indexed citations. Recurring topics across this work include Online Learning and Analytics (44 papers), Online and Blended Learning (27 papers) and E-Learning and Knowledge Management (21 papers). The work is most often cited by research in Computer Science Applications (451 citations), Health Informatics (32 citations) and Education (400 citations). Kam Cheong Li has collaborated with scholars based in Hong Kong, China and Bangladesh. Frequent co-authors include Billy Tak Ming Wong, Samuel P. M. Choi, Simon K. S. Cheung, Linda Yin King Lee, Gwo Jen Hwang, Reggie Kwan, Tak-Lam Wong, Fu Lee Wang, Mengjin Liu and Lap–Kei Lee. Their work appears in journals such as SHILAP Revista de lepidopterología, Frontiers in Psychology and Sustainability.

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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