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Researcher · Multimedia University · Malaysia

Christine Nya-Ling Tan

Christine Nya-Ling Tan publishes mostly in Sociology and Political Science, Information Systems and Management and Strategy and Management, on topics such as Technology Adoption and User Behaviour, Knowledge Management and Sharing and Organizational and Employee Performance.

ORCID 0000-0001-6807-8881 OpenAlex
World rank
#130,735
of 7,710,434 ranked researchers
Rank in Malaysia
#350
of 41,196
Works
46
Citations
1.4k
Citations per work
30.5
h-index
19
i10-index 25Top 7.2% in Sociology and Political Science
Christine Nya-Ling Tan

What does Christine Nya-Ling Tan research?

Christine Nya-Ling Tan's work is mostly in Social Sciences (22%), Business, Management and Accounting (18%), Decision Sciences (11%).

Social Sciences: 24 works · 51.5% of their workSocial Sciences: 10 works · 22.2% of their workSociology and Political Science: 6 works · 12.7% of their workCommunication: 4 works · 9.5% of their workBusiness, Management and Accounting: 8 works · 18.2% of their workStrategy and Management: 5 works · 10.3% of their workMarketing: 4 works · 7.9% of their workDecision Sciences: 5 works · 11.1% of their workInformation Systems and Management: 5 works · 11.1% of their workEverything else: 19 works · 41.4% of their workPhysical Sciences: 3 works · 7.1% of their workComputer Science: 3 works · 7.1% of their workArtificial Intelligence: 3 works · 7.1% of their workTHEIR WORKChristineNya-Ling Tan46works
Physical Sciences7%Social Sciences52%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Social Sciences1022.2%
    2. Business, Management and Accounting818.2%
    3. Decision Sciences511.1%
  2. Everything else1941.4%
    1. Computer Science37.1%
  1. 1Sociology and Political Science13% of their works
  2. 2Information Systems and Management11% of their works
  3. 3Strategy and Management10% of their works
  4. 4Communication10% of their works
  5. 5Marketing8% of their works
  6. 6Artificial Intelligence7% of their works

Research topics

Which keywords describe Christine Nya-Ling Tan's research?

The keywords of their largest research topics: Social Media, Information Systems, Technology Acceptance Model, Knowledge Sharing, Virtual Communities, Machine Learning, Smart Cities and Addiction.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 17 words, with their numbers
  1. Social Media243 topics
  2. Information Systems141 topic
  3. Technology Acceptance Model141 topic
  4. Knowledge Sharing121 topic
  5. Virtual Communities121 topic
  6. Machine Learning81 topic
  7. Smart Cities81 topic
  8. Addiction61 topic
  9. Consumer Engagement61 topic
  10. Electronic Word-of-Mouth61 topic
  11. Well-being61 topic
  12. Environmental Innovation41 topic
  13. Green Consumption41 topic
  14. Risk Management41 topic
  15. Supply Chain Resilience41 topic
  16. Economic Development31 topic
  17. Telecommunications31 topic

Where does Christine Nya-Ling Tan work?

Christine Nya-Ling Tan's main affiliation in the publication record is Multimedia University, Malaysia.

How many publications and citations does Christine Nya-Ling Tan have?

OpenAlex counts 46 works and 1,401 citations for Christine Nya-Ling Tan, an h-index of 19, ranking #130,735 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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