Kam Cheong Li

1.7k citations
88 papers · 900 indexed · h-index 16

Kam Cheong Li

81 papers receiving 837 citations

Peers

Kam Cheong Li
Comparison fields: 5 of 82
  • Computer Science Applications 451
  • Health Informatics 32
  • Education 400
  • Developmental and Educational Psychology 157
  • Information Systems 252
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
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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

The 17 scholars most cited alongside Kam Cheong Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kam Cheong Li Line = papers co-authored together Kam Cheong Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20255
2 20253
3 20250
4 20249
5 20243
6 20242
7 20235
8 20233
9 20234
10 202311
11 202322
12 202310
13 20221
14 20210
15 201915
16
Hong Kong teachers’ English Oral Input in Kindergarten Classrooms
20181
17
Learning Analytics at Low Cost: At-Risk Student Prediction with Clicker Data and Systematic Proactive Interventions
201862
18 201810
19
Readiness development of open educational resources in Hong Kong
20144
20 20149

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), E-Learning and Knowledge Management (21 papers), Innovative Teaching and Learning Methods (12 papers), Mobile Learning in Education (11 papers), Open Education and E-Learning (9 papers), Technology-Enhanced Education Studies (8 papers) and Innovative Teaching Methods (6 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 International Journal of Innovation and Learning, International Journal of Mobile Learning and Organisation, Interactive Technology and Smart Education, International Journal of Services and Standards 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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