Yong Tan

6.3k total citations · 2 hit papers
217 papers, 3.8k citations indexed

About

Yong Tan is a scholar working on Marketing, Sociology and Political Science and Management Information Systems. According to data from OpenAlex, Yong Tan has authored 217 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Marketing, 66 papers in Sociology and Political Science and 50 papers in Management Information Systems. Recurrent topics in Yong Tan's work include Digital Marketing and Social Media (48 papers), Consumer Market Behavior and Pricing (33 papers) and Digital Platforms and Economics (32 papers). Yong Tan is often cited by papers focused on Digital Marketing and Social Media (48 papers), Consumer Market Behavior and Pricing (33 papers) and Digital Platforms and Economics (32 papers). Yong Tan collaborates with scholars based in United States, China and Germany. Yong Tan's 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 and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Management Science.

In The Last Decade

Yong Tan

194 papers receiving 3.6k citations

Hit Papers

Social Networks and the Diffusion of User-Generated Conte... 2011 2026 2016 2021 2011 2015 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yong Tan United States 31 1.8k 1.1k 653 585 579 217 3.8k
Sulin Ba United States 24 1.3k 0.8× 859 0.8× 375 0.6× 886 1.5× 504 0.9× 70 2.8k
José Ramón Saura Spain 35 1.6k 0.9× 757 0.7× 391 0.6× 641 1.1× 264 0.5× 86 3.5k
Bin Gu United States 30 3.4k 2.0× 2.0k 1.8× 795 1.2× 1.2k 2.0× 690 1.2× 133 5.3k
Oliver Hinz Germany 36 1.5k 0.8× 848 0.8× 477 0.7× 525 0.9× 276 0.5× 165 4.5k
G. Alan Wang United States 29 1.7k 0.9× 1.0k 0.9× 447 0.7× 665 1.1× 274 0.5× 102 4.2k
Arun Sundararajan United States 29 1.6k 0.9× 1.6k 1.4× 400 0.6× 213 0.4× 330 0.6× 102 3.8k
Ram D. Gopal United States 29 1.2k 0.7× 1.6k 1.5× 399 0.6× 431 0.7× 179 0.3× 128 3.7k
Kartik Hosanagar United States 26 1.4k 0.8× 1.2k 1.1× 221 0.3× 338 0.6× 267 0.5× 80 2.8k
G. Lawrence Sanders United States 30 1.1k 0.6× 1.0k 0.9× 477 0.7× 850 1.5× 279 0.5× 80 3.2k

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-authorship network of co-authors of Yong Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Yong Tan. A scholar is included among the top collaborators of Yong Tan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yong Tan. Yong Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yu, Yifan, et al.. (2025). When Emotion AI Meets Strategic Users. Management Science. 72(1). 627–645.
2.
Rojas, Fernando, Peter Wänke, & Yong Tan. (2024). BIBLIOMETRIC ANALYSIS OF PUBLICATIONS AND AUTHORS ON STOCHASTIC DEMAND INVENTORY MODELS IN PHARMACEUTICAL SUPPLY CHAINS. International Journal of Professional Business Review. 9(10). e05008–e05008.
3.
Jiang, Jingjing, Chun Gao, Guoyuan Yang, et al.. (2024). Effect of endoscopic therapy and drug therapy on prognosis and rebleeding in patients with esophagogastric variceal bleeding. Scientific Reports. 14(1). 7364–7364. 2 indexed citations
4.
Tan, Yong, et al.. (2024). Quality disclosure strategy in a competitive environment with consumers' homogeneity and heterogeneity. Managerial and Decision Economics. 45(4). 2144–2156.
5.
Hwang, Elina H., et al.. (2021). Learning to Be Creative: A Mutually Exciting Spatiotemporal Point Process Model for Idea Generation in Open Innovation. Information Systems Research. 32(4). 1214–1235. 17 indexed citations
6.
Jiang, Yang, et al.. (2018). What Goes Around Comes Around: A Structural Matching Model of Online Lending. Journal of the Association for Information Systems. 1 indexed citations
7.
Tan, Yong, et al.. (2018). Gamified Goals: an Empirical Study of Online Weight-Loss Challenges. Journal of the Association for Information Systems. 1 indexed citations
8.
Hwang, Elina H., Xitong Guo, Yong Tan, & Yuanyuan Dang. (2018). Mobilizing Healthcare across Geography through Telemedicine Consultations. Journal of the Association for Information Systems. 3 indexed citations
9.
Lee, Young‐Jin, Karen Xie, Ali Besharat, & Yong Tan. (2017). Management Responses to Online Reviews: Helpful or Detrimental?. Journal of the Association for Information Systems. 1 indexed citations
10.
Hwang, Elina H., Xitong Guo, Yong Tan, & Yuanyuan Dang. (2017). Delivering Healthcare through Teleconsultations: Implication on Offline Healthcare Disparity. SSRN Electronic Journal.
11.
Tan, Xue, Yingda Lu, & Yong Tan. (2016). An Examination of Social Comparison Triggered by Higher Donation Visibility over Social Media Platforms. International Conference on Information Systems. 5 indexed citations
12.
Tan, Xue, Youwei Wang, & Yong Tan. (2016). The Value of Live Chat on Online Purchase. International Conference on Information Systems. 3 indexed citations
13.
Lee, Young‐Jin, Kartik Hosanagar, & Yong Tan. (2014). Do I Follow My Friends or the Crowd? Information Cascades in Online Movie Ratings. Scholarly Commons (University of Pennsylvania). 10 indexed citations
14.
Qu, Qi‐Xing, Jiayin Qi, & Yong Tan. (2014). USER-GENERATED CONTENT (UGC) ENCOUNTERED ENTERPRISE-GENERATED CONTENT (EGC): QUANTIFYING THE IMPACT OF EGC ON THE PROPAGATION OF NEGATIVE UGC. Journal of the Association for Information Systems. 88. 3 indexed citations
15.
Ho, Yi‐Chun, Junjie Wu, & Yong Tan. (2013). Disconfirmation Effect on Online Opinion Expression. SSRN Electronic Journal. 1 indexed citations
16.
Ho, Yi‐Chun, et al.. (2013). Online Cashback Pricing: A New Affiliate Strategy for E-Business. SSRN Electronic Journal. 8 indexed citations
17.
Lin, Hao, et al.. (2011). The Economic Role of Rating Behavior in Third-Party Application Market. Journal of the Association for Information Systems. 3 indexed citations
18.
Oh, Jeong‐ha, Anjana Susarla, & Yong Tan. (2008). Diffusion of User-Generated Content in a Social Network Structure. Journal of the Association for Information Systems. 199. 5 indexed citations
19.
Tan, Yong, Vijay Mookerjee, & Param Vir Singh. (2007). SOCIAL CAPITAL , STRUCTURAL HOLES AND TEAM COMPOSITION : COLLABORATIVE NETWORKS OF THE OPEN SOURCE SOFTWARE COMMUNITY. Journal of the Association for Information Systems. 3(Laryngol Sect). 155–5. 21 indexed citations
20.
Moinzadeh, Kamran & Yong Tan. (2005). Economic control and inspection policies for high-speed unreliable production systems. IIE Transactions. 37(8). 711–724. 4 indexed citations

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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