Baohong Sun

3.7k total citations · 1 hit paper
57 papers, 2.7k citations indexed

About

Baohong Sun is a scholar working on Marketing, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Baohong Sun has authored 57 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Marketing, 26 papers in Management Science and Operations Research and 17 papers in Economics and Econometrics. Recurrent topics in Baohong Sun's work include Consumer Market Behavior and Pricing (44 papers), Innovation Diffusion and Forecasting (20 papers) and Digital Platforms and Economics (15 papers). Baohong Sun is often cited by papers focused on Consumer Market Behavior and Pricing (44 papers), Innovation Diffusion and Forecasting (20 papers) and Digital Platforms and Economics (15 papers). Baohong Sun collaborates with scholars based in United States, China and Canada. Baohong Sun's co-authors include Liye Ma, Tülin Erdem, Shibo Li, Scott A. Neslin, Sunder Kekre, Ronald T. Wilcox, Kannan Srinivasan, Vicki G. Morwitz, Kannan Srinivasan and Michael P. Keane and has published in prestigious journals such as Journal of Marketing, Management Science and Journal of Marketing Research.

In The Last Decade

Baohong Sun

53 papers receiving 2.4k citations

Hit Papers

Machine learning and AI in marketing – Connecting computi... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baohong Sun United States 25 1.7k 669 550 484 476 57 2.7k
Asim Ansari United States 27 2.1k 1.3× 844 1.3× 602 1.1× 428 0.9× 488 1.0× 47 3.3k
Alan L. Montgomery United States 22 1.8k 1.1× 624 0.9× 765 1.4× 322 0.7× 494 1.0× 39 2.8k
Berend Wierenga Netherlands 30 1.1k 0.7× 862 1.3× 329 0.6× 480 1.0× 430 0.9× 108 2.9k
Eric T. Anderson United States 25 1.5k 0.9× 489 0.7× 603 1.1× 529 1.1× 363 0.8× 51 2.4k
Duncan Simester United States 34 2.2k 1.3× 659 1.0× 1.1k 2.0× 799 1.7× 783 1.6× 76 4.0k
Kamel Jedidi United States 31 1.9k 1.1× 497 0.7× 979 1.8× 571 1.2× 716 1.5× 72 3.4k
Bruce G. S. Hardie United Kingdom 25 2.5k 1.5× 574 0.9× 388 0.7× 293 0.6× 517 1.1× 61 3.3k
Shuba Srinivasan United States 24 1.9k 1.1× 805 1.2× 671 1.2× 805 1.7× 551 1.2× 62 3.1k
Renana Peres Israel 19 927 0.6× 1.0k 1.5× 332 0.6× 451 0.9× 793 1.7× 34 2.5k
Alina Sorescu United States 20 833 0.5× 531 0.8× 369 0.7× 862 1.8× 277 0.6× 31 2.4k

Countries citing papers authored by Baohong Sun

Since Specialization
Citations

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

Fields of papers citing papers by Baohong Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baohong Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Baohong Sun. A scholar is included among the top collaborators of Baohong Sun 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 Baohong Sun. Baohong Sun 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.
Cao, H. Henry & Baohong Sun. (2018). Value of Learning and Acting On Customer Information. Figshare.
2.
Sun, Baohong, Yacheng Sun, & Shibo Li. (2018). When Advance Purchase need to be Made for Future Consumption – An Empirical Investigation of Consumer Choice under Bucket Pricing. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 1 indexed citations
3.
Srinivasan, Kannan, et al.. (2018). Should Firms Share Information About Expensive Customers? An Equilibrium Analysis. Figshare. 2 indexed citations
4.
Hao, Haijing, Rema Padman, Baohong Sun, & Rahul Telang. (2018). Quantifying the Impact of Social Influence on the Information Technology Implementation Process by Physicians: A Hierarchical Bayesian Learning Approach. Information Systems Research. 29(1). 25–41. 34 indexed citations
5.
Derdenger, Timothy, et al.. (2017). An Empirical Analysis of Consumer Purchase Behavior of Base Products and Add-ons Given Compatibility Constraints. SSRN Electronic Journal.
6.
Gordon, Brett R. & Baohong Sun. (2015). A Dynamic Model of Rational Addiction: Evaluating Cigarette Taxes. Marketing Science. 34(3). 452–470. 38 indexed citations
7.
Sun, Yacheng, Shibo Li, & Baohong Sun. (2015). An Empirical Analysis of Consumer Purchase Decisions Under Bucket-Based Price Discrimination. Marketing Science. 34(5). 646–668. 4 indexed citations
8.
Hao, Haijing, Rema Padman, Baohong Sun, & Rahul Telang. (2014). Examining the Social Influence on Information Technology Sustained Use in a Community Health System: A Hierarchical Bayesian Learning Method Analysis. 29. 2751–2758. 4 indexed citations
9.
Kopalle, Praveen K., Yacheng Sun, Scott Neslin, Baohong Sun, & Vanitha Swaminathan. (2012). The Joint Sales Impact of Frequency Reward and Customer Tier Components of Loyalty Programs. SSRN Electronic Journal. 4 indexed citations
10.
Ni, Jian, Scott Neslin, & Baohong Sun. (2012). The ISMS Durable Goods Datasets. SSRN Electronic Journal.
11.
Lu, Yingda, Param Vir Singh, & Baohong Sun. (2011). Learning from Peers on Social Media Platforms. Journal of the Association for Information Systems. 2 indexed citations
12.
Sun, Baohong & Vicki G. Morwitz. (2010). Stated intentions and purchase behavior: A unified model. International Journal of Research in Marketing. 27(4). 356–366. 117 indexed citations
13.
Kopalle, Praveen K., Scott Neslin, & Baohong Sun. (2009). A Dynamic Structural Model of the Impact of Loyalty Programs on Customer Behavior. ACR Asia-Pacific Advances. 13 indexed citations
14.
Chen, Tao, Ajay Kalra, & Baohong Sun. (2009). Why Do Consumers Buy Extended Service Contracts?. Journal of Consumer Research. 36(4). 611–623. 75 indexed citations
15.
Li, Shibo, Kannan Srinivasan, & Baohong Sun. (2009). Internet Auction Features as Quality Signals. Journal of Marketing. 73(1). 75–92. 77 indexed citations
16.
Erdem, Tülin, Michael P. Keane, & Baohong Sun. (2007). The impact of advertising on consumer price sensitivity in experience goods markets. Quantitative Marketing and Economics. 6(2). 139–176. 62 indexed citations
17.
Sun, Baohong & Shibo Li. (2006). -Learning and Acting Upon Customer Information: An Empirical Investigation of Service Allocations with Offshore Centers. Journal of Marketing Research. 4 indexed citations
18.
Sun, Baohong. (2006). Invited Commentary—Dynamic Structural Consumer Models and Current Marketing Issues. Marketing Science. 25(6). 625–628. 8 indexed citations
19.
Sun, Baohong, Jinhong Xie, & H. Henry Cao. (2004). Product Strategy for Innovators in Markets with Network Effects. Marketing Science. 23(2). 243–254. 111 indexed citations
20.
Erdem, Tülin & Baohong Sun. (2002). An Empirical Investigation of the Spillover Effects of Advertising and Sales Promotions in Umbrella Branding. Journal of Marketing Research. 39(4). 408–420. 190 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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