Bee Lian Song

471 citations
25 papers · 257 indexed · h-index 8

Bee Lian Song

22 papers receiving 241 citations

Peers

Bee Lian Song
Comparison fields: 5 of 49
  • Marketing 131
  • Information Systems and Management 65
  • Organizational Behavior and Human Resource Management 42
  • Business and International Management 6
  • Sociology and Political Science 127
Replace Hazem Rasheed Gaber with:
Hazem Rasheed Gaber Egypt
Jaydeep Mukherjee India
Jaewook Kim United States
Lianne Foti Canada
Lala Hu Italy
Myungkeun Song South Korea
Ade Oriade United Kingdom
Otávio Bandeira De Lamônica Freire Brazil
Konstantinos Solakis Spain
Evmorfia Argyriou United Kingdom
Bee Lian Song relative to Hazem Rasheed Gaber Egypt Hazem Rasheed Gaber's profile →
Citations per field
00.5×1.5×
Hazem Rasheed Gaber · 1×
Citations per year

Countries citing papers authored by Bee Lian Song

Since Specialization
Citations

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

Fields of papers citing papers by Bee Lian Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bee Lian Song. 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 Bee Lian Song. The network helps show where Bee Lian Song may publish in the future.

Co-authorship network

The 7 scholars most cited alongside Bee Lian Song, 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 Bee Lian Song Line = papers co-authored together Bee Lian Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20241
4 20241
5 20243
6 20230
7 20231
8 20226
9 20216
10 20214
11 202143
12 201950
13 201924
14 20187
15
The Marketing Stimuli Factors Influencing Consumers’ Attitudes to Purchase Organic Food
20172
16 20176
17 201722
18 20171
19 201614
20 201617

About Bee Lian Song

Bee Lian Song is a scholar working on Marketing, Information Systems and Management and Organizational Behavior and Human Resource Management, having authored 25 papers that have together received 257 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (11 papers), Technology Adoption and User Behaviour (7 papers), Organic Food and Agriculture (5 papers), Environmental Sustainability in Business (5 papers), Customer Service Quality and Loyalty (4 papers), Higher Education and Employability (4 papers), Consumer Retail Behavior Studies (3 papers) and Corporate Social Responsibility Reporting (2 papers). The work is most often cited by research in Marketing (131 citations), Information Systems and Management (65 citations) and Organizational Behavior and Human Resource Management (42 citations). Bee Lian Song has collaborated with scholars based in Malaysia, Bangladesh and China. Frequent co-authors include Chee Yoong Liew, Meysam Safari, Shaheen Mansori, Woon Leong Lin, Norazah Mohd Sukı, Norbayah Mohd Sukı and Behrooz Gharleghi. Their work appears in journals such as Education + Training, Social Responsibility Journal and International Journal of Educational Management.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026