Chong Oh
Impact in
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- Technology Adoption and User Behaviour
- Marketing top 10%
- Consumer Behavior in Brand Consumption and Identification
Papers in
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- Digital Marketing and Social Media 6
- Media Influence and Politics 2
- Impact of Technology on Adolescents 2
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- Social Media and Politics 2
- Knowledge Management and Sharing 1
- Co-authors
- Olivia R. Liu Sheng (1 shared paper)Joseph K. Nwankpa (1 shared paper)Yaman Roumani (1 shared paper)J. Cameron Verhaal (1 shared paper)Hsinchun Chen (1 shared paper)
- Journals
- Journal of the Association for Information Systems (2 papers)Information Systems Frontiers (1 paper)Information & Management (1 paper)International Journal of Knowledge-based and Intelligent Engineering Systems (2 papers)International Journal of Business Information Systems (1 paper)
- Partner nations
- United States
In The Last Decade
Chong Oh
10 papers receiving 355 citations
Peers
Comparison fields: 5 of 55
- Information Systems and Management 62
- Marketing 78
- Communication 53
- Management Science and Operations Research 78
- Sociology and Political Science 211
Countries citing papers authored by Chong Oh
This map shows the geographic impact of Chong Oh'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 Chong Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chong Oh more than expected).
Fields of papers citing papers by Chong Oh
This network shows the impact of papers produced by Chong Oh. 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 Chong Oh. The network helps show where Chong Oh may publish in the future.
Co-authors
The 5 scholars most cited alongside Chong Oh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 197 | |
| 2 | INVESTIGATING PREDICTIVE POWER OF STOCK MICRO BLOG SENTIMENT IN FORECASTING FUTURE STOCK PRICE DIRECTIONAL MOVEMENT | 2011 | 130 |
| 3 | 2016 | 17 | |
| 4 | 2015 | 7 | |
| 5 | How Trump won: The Role of Social Media Sentiment in Political Elections | 2017 | 6 |
| 6 | 2013 | 4 | |
| 7 | 2010 | 3 | |
| 8 | 2005 | 3 | |
| 9 | 2017 | 2 | |
| 10 | Social media information diffusion and economic outcomes: Twitter retweets and box office revenue | 2016 | 1 |
About Chong Oh
Chong Oh is a scholar working on Sociology and Political Science, Communication, Economics and Econometrics, Mechanical Engineering and Marketing, having authored 10 papers that have together received 370 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (6 papers), Media Influence and Politics (2 papers), Impact of Technology on Adolescents (2 papers), Social Media and Politics (2 papers), Sentiment Analysis and Opinion Mining (1 paper), Knowledge Management and Sharing (1 paper), Media, Gender, and Advertising (1 paper) and Corporate Finance and Governance (1 paper). The work is most often cited by research in Information Systems and Management (62 citations), Marketing (78 citations), Communication (53 citations), Management Science and Operations Research (78 citations) and Sociology and Political Science (211 citations). Chong Oh has collaborated with scholars based in United States. Frequent co-authors include Olivia R. Liu Sheng, Joseph K. Nwankpa, Yaman Roumani, J. Cameron Verhaal and Hsinchun Chen. Their work appears in journals such as Journal of the Association for Information Systems, Information Systems Frontiers, Information & Management, International Journal of Knowledge-based and Intelligent Engineering Systems and International Journal of Business Information Systems.
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.