Yong Tan

6.4k citations
218 papers · 3.9k · 2 hit papers · h-index 31

Impact in

  • Marketing top 0.5%
    • Consumer Market Behavior and Pricing
    • Sharing Economy and Platforms
    • Consumer Behavior in Brand Consumption and Identification
    • Technology Adoption and User Behaviour

Papers in

Yong Tan

197 papers receiving 3.8k citations

Yong Tan's Hit Papers

Do I Follow My Friends or the Crowd? Information Cascades in Online Movie Ratings 2015 · 294 citations
2940+5+10Years since publication100200300400

Peers

Yong Tan
Comparison fields: 5 of 137
  • Marketing 1.1k
  • Information Systems and Management 585
  • Communication 569
  • Management Information Systems 662
  • Computer Science Applications 234
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Yong Tan relative to Yili Hong United States Yili Hong's profile →
Citations per field
00.5×1.7×
Yili Hong · 1×
Citations per year

Countries citing papers authored by Yong Tan

Since Specialization
Citations

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

Fields of papers citing papers by Yong Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yong Tan, 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 Yong Tan Line = papers co-authored together Yong Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 218 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Social Networks and the Diffusion of User-Generated Content: Evidence from YouTube
Hit paper breakdown →
2011460
2 2014330
3
Do I Follow My Friends or the Crowd? Information Cascades in Online Movie Ratings
Hit paper breakdown →
2015294
4 2017154
5 2018120
6 2019112
7 2018105
8 200593
9 201086
10 201976
11 201571
12 201764
13 201962
14 201660
15 201659
16 202055
17 201755
18 201853
19 202147
20 202142

About Yong Tan

Yong Tan is a scholar working on Marketing, Sociology and Political Science, Management Information Systems, Strategy and Management and Economics and Econometrics, having authored 218 papers that have together received 3.9k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (50 papers), Consumer Market Behavior and Pricing (33 papers), Digital Platforms and Economics (32 papers), FinTech, Crowdfunding, Digital Finance (31 papers), Sharing Economy and Platforms (27 papers), Technology Adoption and User Behaviour (27 papers), Complex Network Analysis Techniques (20 papers) and Microfinance and Financial Inclusion (18 papers). The work is most often cited by research in Marketing (1.1k citations), Information Systems and Management (585 citations), Communication (569 citations), Management Information Systems (662 citations) and Computer Science Applications (234 citations). Yong Tan has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Lu Yan, Anjana Susarla, Jeong‐ha Oh, Yi‐Chun Ho, Young‐Jin Lee, Kartik Hosanagar, Vijay Mookerjee, Junjie Wu, Param Vir Singh and Hao Lin. Their work appears in journals such as Information Systems Research, Journal of the Association for Information Systems, Production and Operations Management, Management Science and Journal of Management 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.

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