Daisy Mui Hung Kee

7.1k citations
343 papers · 3.9k indexed · 2 hit papers · h-index 29
Topics
Job Satisfaction and Organizational Behavior (57 papers)Technology Adoption and User Behaviour (39 papers)Customer Service Quality and Loyalty (30 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONENeuroImage
Partner nations
MalaysiaIndonesiaIndia

In The Last Decade

Daisy Mui Hung Kee

283 papers receiving 3.7k citations

Hit Papers

Linking Green Human Resource Management Practices to Envi...201820262020202320182021100200300

Peers

Daisy Mui Hung Kee
Comparison fields: 5 of 145
  • Marketing 925
  • Organizational Behavior and Human Resource Management 887
  • Strategy and Management 745
  • Cognitive Neuroscience 639
  • Social Psychology 615
Replace Gayle C. Avery with:
Gayle C. Avery Australia
Sunyoung Park United States
Philip H. Mirvis United States
Adriane B. Randolph United States
James Gaskin United States
Riccardo Conti Italy
Tomas Chamorro‐Premuzic United Kingdom
Pamela Tierney United States
Kevin Daniels United Kingdom
Kerrie Unsworth United Kingdom
Daisy Mui Hung Kee relative to Gayle C. Avery Australia Gayle C. Avery's profile →
Citations per field
00.5×
Gayle C. Avery · 1×
Citations per year

Countries citing papers authored by Daisy Mui Hung Kee

Since Specialization
Citations

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

Fields of papers citing papers by Daisy Mui Hung Kee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daisy Mui Hung Kee. 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 Daisy Mui Hung Kee. The network helps show where Daisy Mui Hung Kee may publish in the future.

Co-authorship network of co-authors of Daisy Mui Hung Kee

This figure shows the co-authorship network connecting the top 25 collaborators of Daisy Mui Hung Kee. A scholar is included among the top collaborators of Daisy Mui Hung Kee 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 Daisy Mui Hung Kee. Daisy Mui Hung Kee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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About Daisy Mui Hung Kee

Daisy Mui Hung Kee is a scholar working on Organizational Behavior and Human Resource Management, Marketing and Business and International Management, having authored 343 papers that have together received 3.9k indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (57 papers), Technology Adoption and User Behaviour (39 papers) and Customer Service Quality and Loyalty (30 papers). The work is most often cited by research in Marketing (925 citations), Organizational Behavior and Human Resource Management (887 citations) and Business and International Management (144 citations). Daisy Mui Hung Kee has collaborated with scholars based in Malaysia, Indonesia and India. Frequent co-authors include Mohammad Rabiul Basher Rubel, Nadia Newaz Rimi, Hee Song Ng, Jean Decety, Ching‐Po Lin, Yawei Cheng, Yusmani Mohd Yusoff, Mehran Nejati, Azlan Amran and Ovid J. L. Tzeng. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

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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