S. K. Chu

Computer Science Applications · 2011–2023

A researcher in the Science corpus: 9 papers; trusts 20 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Science Applications — 64 citations into it; #870 of 1,855 by trust here, #634 by citations
• Artificial Intelligence — 38 citations into it
• Developmental and Educational Psychology — 36 citations into it
• Education — 35 citations into it
• Safety Research — 18 citations into it; #3,719 of 5,829 by trust here, #2,873 by citations
• Strategy and Management — 14 citations into it; #8,293 of 10,874 by trust here, #7,168 by citations
• Health Informatics — 10 citations into it; #135 of 240 by trust here, #112 by citations
• Accounting — 5 citations into it

Whom S. K. Chu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Daniel Andriessen
2. Giridhar B. Kamath
3. Kin Hang Chan
4. Steven Firer
5. Paula Kujansivu
6. Daniel Zéghal
7. Ming-Chin Chen
8. Nick Bontis
9. Richard Petty
10. S. Williams

Who trusts S. K. Chu overall

1. A. Alhassan
2. Mahesh Chandra Joshi
3. Davy Tsz Kit Ng
4. N. Asare
5. Jian Xu
6. D. Cahill
7. M. Al-Musali

Papers from S. K. Chu's perspective

Ordered by how strongly the researchers S. K. Chu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Intellectual capital and traditional measures of corporate performance
2. Measuring the performance of intellectual potential in the knowledge economy
3. VAIC™ - an accounting tool for IC management (International Journal of Technology Management)
4. Intellectual capital and business performance in Malaysian industries
5. The intellectual capital performance of the Indian banking sector
6. An Empirical Investigation of the Relationship between Intellectual Capital and Firms’ Market Value and Financial Performance
7. Impact of intellectual capital on organisational performance: An empirical study of companies in the Hang Seng Index (Part 1)
8. Investigating the value and efficiency of intellectual capital
9. Making Sense of Intellectual Capital: Designing a Method for the Valuation of Intangibles
10. Assessing knowledge assets: a review of the models used to measure intellectual capital

Their papers

• Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world (2023) — 580 citations
• Artificial Intelligence (AI) Literacy in Early Childhood Education: The Challenges and Opportunities (2023) — 385 citations
• A review of AI teaching and learning from 2000 to 2020 (2022) — 353 citations
• Conceptualizing AI literacy: An exploratory review (2021) — 1,789 citations
• AI Literacy: Definition, Teaching, Evaluation and Ethical Issues (2021) — 416 citations
• The role of gamified e-quizzes on student learning and engagement: An interactive gamification solution for a formative assessment system (2020) — 397 citations
• The impact of gamification on learning and instruction: A systematic review of empirical evidence (2020) — 816 citations
• 21st Century Skills Development Through Inquiry-Based Learning - From Theory to Practice (2016) — 346 citations
• Charting intellectual capital performance of the gateway to China (2011) — 182 citations