Marc Cheong
Impact in
- Health Informatics top 10%
- Communication top 5%
- Social Media and Politics
Papers in
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- Misinformation and Its Impacts 5
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- Hate Speech and Cyberbullying Detection 6
- Co-authors
- Vincent C. S. Lee (1 shared paper)Vincent Lee (2 shared papers)Mark Alfano (9 shared papers)Simon Coghlan (4 shared papers)J. Adam Carter (1 shared paper)Simon D’Alfonso (1 shared paper)Piers Gooding (1 shared paper)Ritsaart Reimann (6 shared papers)
- Journals
- PLoS ONE (2 papers)Ethics and Information Technology (1 paper)Journal of Documentation (1 paper)IEEE Software (1 paper)Business & Information Systems Engineering (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Marc Cheong
40 papers receiving 550 citations
Marc Cheong's Hit Papers
Peers
Comparison fields: 5 of 83
- Health Informatics 20
- Communication 93
- Applied Psychology 54
- Statistical and Nonlinear Physics 115
- Artificial Intelligence 183
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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 150 | |
| 2 | To chat or bot to chat: Ethical issues with using chatbots in mental health Hit paper breakdown → | 2023 | 97 |
| 3 | 2009 | 69 | |
| 4 | 2018 | 55 | |
| 5 | 2024 | 23 | |
| 6 | 2010 | 21 | |
| 7 | 2022 | 18 | |
| 8 | 2016 | 13 | |
| 9 | 2021 | 13 | |
| 10 | 2023 | 10 | |
| 11 | 2022 | 10 | |
| 12 | 2010 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2009 | 9 | |
| 15 | 2008 | 7 | |
| 16 | 2024 | 7 | |
| 17 | 2018 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2012 | 5 | |
| 20 | 2022 | 5 |
About Marc Cheong
Marc Cheong is a scholar working on Sociology and Political Science, Artificial Intelligence, Statistical and Nonlinear Physics, Safety Research and Information Systems, having authored 44 papers that have together received 586 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (8 papers), Complex Network Analysis Techniques (7 papers), Hate Speech and Cyberbullying Detection (6 papers), Misinformation and Its Impacts (5 papers), Social Media and Politics (4 papers), Media, Religion, Digital Communication (3 papers), Ethics in Business and Education (3 papers) and Innovation and Socioeconomic Development (3 papers). The work is most often cited by research in Health Informatics (20 citations), Communication (93 citations), Applied Psychology (54 citations), Statistical and Nonlinear Physics (115 citations) and Artificial Intelligence (183 citations). Marc Cheong has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Vincent C. S. Lee, Vincent Lee, Mark Alfano, Simon Coghlan, J. Adam Carter, Simon D’Alfonso, Piers Gooding, Ritsaart Reimann, Colin Klein and Leah Ruppanner. Their work appears in journals such as PLoS ONE, Ethics and Information Technology, Journal of Documentation, IEEE Software and Business & Information Systems Engineering.
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.