Marc Cheong
Impact in
- Communication top 5%
- Social Media and Politics
- Public Relations and Crisis Communication
- Health Informatics top 10%
Papers in
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- Complex Network Analysis Techniques 8
- Opinion Dynamics and Social Influence 4
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- Ethics and Social Impacts of AI 7
- Co-authors
- Vincent C. S. Lee (1 shared paper)Vincent Chieng Chen Lee (3 shared papers)Mark Alfano (10 shared papers)Simon Coghlan (5 shared papers)J. Adam Carter (1 shared paper)Piers Gooding (1 shared paper)Simon D’Alfonso (1 shared paper)Vincent Lee (1 shared paper)
- Journals
- Journal of the Association for Information Systems (3 papers)PLoS ONE (2 papers)Digital Health (1 paper)Communication Methods and Measures (1 paper)IEEE Technology and Society Magazine (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Marc Cheong
44 papers receiving 690 citations
Marc Cheong's Hit Papers
Peers
Comparison fields: 5 of 93
- Communication 126
- Health Informatics 23
- Applied Psychology 62
- Statistical and Nonlinear Physics 149
- Artificial Intelligence 225
Countries citing papers authored by Marc Cheong
This map shows the geographic impact of Marc Cheong'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 Marc Cheong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Cheong more than expected).
Fields of papers citing papers by Marc Cheong
This network shows the impact of papers produced by Marc Cheong. 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 Marc Cheong. The network helps show where Marc Cheong may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Cheong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 170 | |
| 2 | To chat or bot to chat: Ethical issues with using chatbots in mental health Hit paper breakdown → | 2023 | 124 |
| 3 | 2009 | 83 | |
| 4 | 2018 | 67 | |
| 5 | 2024 | 32 | |
| 6 | 2010 | 28 | |
| 7 | 2010 | 27 | |
| 8 | 2022 | 21 | |
| 9 | 2021 | 15 | |
| 10 | 2016 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2009 | 10 | |
| 13 | 2022 | 10 | |
| 14 | 2010 | 10 | |
| 15 | 2023 | 10 | |
| 16 | 2010 | 10 | |
| 17 | 2008 | 8 | |
| 18 | 2008 | 8 | |
| 19 | 2018 | 7 | |
| 20 | 2024 | 7 |
About Marc Cheong
Marc Cheong is a scholar working on Statistical and Nonlinear Physics, Safety Research, Sociology and Political Science, Artificial Intelligence and Information Systems and Management, having authored 48 papers that have together received 746 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (8 papers), Ethics and Social Impacts of AI (7 papers), Misinformation and Its Impacts (7 papers), Hate Speech and Cyberbullying Detection (6 papers), Privacy, Security, and Data Protection (4 papers), Social Media and Politics (4 papers), Opinion Dynamics and Social Influence (4 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Communication (126 citations), Health Informatics (23 citations), Applied Psychology (62 citations), Statistical and Nonlinear Physics (149 citations) and Artificial Intelligence (225 citations). Marc Cheong has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Vincent C. S. Lee, Vincent Chieng Chen Lee, Mark Alfano, Simon Coghlan, J. Adam Carter, Piers Gooding, Simon D’Alfonso, Vincent Lee, Ritsaart Reimann and Colin Klein. Their work appears in journals such as Journal of the Association for Information Systems, PLoS ONE, Digital Health, Communication Methods and Measures and IEEE Technology and Society Magazine.
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.