Chin Lay Gan
- Sociology and Political Science top 10%
- Information Systems and Management top 2%
- Education top 10%
- Information Systems top 5%
- Marketing top 10%
- Co-authors
- Vimala BalakrishnanTze Wei LiewSu-Mae TanRobert Jeyakumar NathanVijay VictorSebastian KotFaizan AhmadGerald Guan Gan Goh
- Topics
- Technology Adoption and User Behaviour (19 papers)Digital Marketing and Social Media (12 papers)Impact of Technology on Adolescents (8 papers)
- Journals
- International Journal of Environmental Research and Public HealthActa PsychologicaTelematics and Informatics
- Partner nations
- MalaysiaUnited KingdomPoland
In The Last Decade
Chin Lay Gan
28 papers receiving 485 citations
Peers
Comparison fields: 5 of 68
- Sociology and Political Science 207
- Information Systems and Management 167
- Education 138
- Information Systems 137
- Marketing 89
Countries citing papers authored by Chin Lay Gan
This map shows the geographic impact of Chin Lay Gan'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 Chin Lay Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chin Lay Gan more than expected).
Fields of papers citing papers by Chin Lay Gan
This network shows the impact of papers produced by Chin Lay Gan. 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 Chin Lay Gan. The network helps show where Chin Lay Gan may publish in the future.
Co-authorship network of co-authors of Chin Lay Gan
This figure shows the co-authorship network connecting the top 25 collaborators of Chin Lay Gan. A scholar is included among the top collaborators of Chin Lay Gan 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 Chin Lay Gan. Chin Lay Gan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 50 | |
| 10 | 19 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | 2 | |
| 15 | Predicting Acceptance of Mobile Technology for Aiding Student-Lecturer Interactions: An Empirical Study. | 8 |
| 16 | 40 | |
| 17 | 30 | |
| 18 | 20 | |
| 19 | 186 | |
| 20 | 21 |
About Chin Lay Gan
Chin Lay Gan is a scholar working on Information Systems and Management, Marketing and Sociology and Political Science, having authored 31 papers that have together received 515 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (19 papers), Digital Marketing and Social Media (12 papers) and Impact of Technology on Adolescents (8 papers). The work is most often cited by research in Information Systems and Management (167 citations), Marketing (89 citations) and Computer Science Applications (42 citations). Chin Lay Gan has collaborated with scholars based in Malaysia, United Kingdom and Poland. Frequent co-authors include Vimala Balakrishnan, Tze Wei Liew, Su-Mae Tan, Robert Jeyakumar Nathan, Vijay Victor, Sebastian Kot, Faizan Ahmad, Gerald Guan Gan Goh and Sook Fern Yeo. Their work appears in journals such as International Journal of Environmental Research and Public Health, Acta Psychologica and Telematics and Informatics.
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.