Chenhui Guo

555 citations
15 papers · 409 · h-index 7

Impact in

Papers in

Chenhui Guo

13 papers receiving 391 citations

Peers

Chenhui Guo
Comparison fields: 5 of 53
  • Communication 103
  • Information Systems and Management 85
  • Marketing 96
  • Computer Science Applications 33
  • Sociology and Political Science 252
Replace Warut Khern-am-nuai with:
Warut Khern-am-nuai Canada
Hsuanwei Michelle Chen United States
Gaurav Sabnis United States
Arvind Tripathi New Zealand
Samadrita Bhattacharyya India
Emmanuel Ayaburi United States
Pei-Yu Sharon Chen United States
Mochen Yang United States
Hossein Ghasemkhani United States
Chenhui Guo relative to Warut Khern-am-nuai Canada Warut Khern-am-nuai's profile →
Citations per field
00.5×10×20×26×
Warut Khern-am-nuai · 1×
Citations per year

Countries citing papers authored by Chenhui Guo

Since Specialization
Citations

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

Fields of papers citing papers by Chenhui Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chenhui Guo. 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 Chenhui Guo. The network helps show where Chenhui Guo may publish in the future.

Co-authors

The 18 scholars most cited alongside Chenhui Guo, 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 Chenhui Guo Line = papers co-authored together Chenhui Guo links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2016172
2 201060
3 201359
4 202156
5 201827
6 202014
7 20217
8 20145
9 20173
10 20132
11
Pay Easy, Buy More: An Empirical Study of the Purchase Feature in Social Media Apps
20171
12 20241
13
ANALYZING THE RISK AND FINANCIAL IMPACT OF PHISHING ATTACKS USING A KNOWLEDGE BASED APPROACH
20091
14 20171
15 20160

About Chenhui Guo

Chenhui Guo is a scholar working on Sociology and Political Science, Marketing, Information Systems and Management, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 15 papers that have together received 409 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (11 papers), Technology Adoption and User Behaviour (4 papers), Experimental Behavioral Economics Studies (3 papers), Consumer Market Behavior and Pricing (3 papers), Complex Network Analysis Techniques (2 papers), Sharing Economy and Platforms (2 papers), Spam and Phishing Detection (2 papers) and Open Source Software Innovations (2 papers). The work is most often cited by research in Communication (103 citations), Information Systems and Management (85 citations), Marketing (96 citations), Computer Science Applications (33 citations) and Sociology and Political Science (252 citations). Chenhui Guo has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Paulo Góes, Mingfeng Lin, Anjana Susarla, V. Sambamurthy, Xi Chen, Alvin Chung Man Leung, Indranil Bose, Rense Corten, Vincent Buskens and Maarten ter Huurne. Their work appears in journals such as Information Systems Research, Decision Support Systems, Journal of the Association for Information Systems, Production and Operations Management and International Journal of Mobile Communications.

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.

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