Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Do online reviews matter? — An empirical investigation of panel data
20081.3k citationsWenjing Duan, Bin Gu et al.profile →
The influence of user-generated content on traveler behavior: An empirical investigation on the effects of e-word-of-mouth to hotel online bookings
This map shows the geographic impact of Bin Gu'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 Bin Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Gu more than expected).
This network shows the impact of papers produced by Bin Gu. 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 Bin Gu. The network helps show where Bin Gu may publish in the future.
Co-authorship network of co-authors of Bin Gu
This figure shows the co-authorship network connecting the top 25 collaborators of Bin Gu.
A scholar is included among the top collaborators of Bin Gu 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 Bin Gu. Bin Gu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Berente, Nicholas, Bin Gu, Jan Recker, & Radhika Santhanam. (2021). Special Issue Editor’s Comments: Managing Artificial Intelligence. Journal of the Association for Information Systems. 45(3). 1433–1450.19 indexed citations
3.
Liang, Chen, Yili Hong, & Bin Gu. (2018). Home Bias in Hiring: Evidence from an Online Labor Market.. Journal of the Association for Information Systems. 49.5 indexed citations
4.
Zhang, Xiaofei, Wei Chen, Bin Gu, & Xitong Guo. (2017). The Impact of Introductory Incentives on New Users: Evidence from an Online Health Community. Journal of the Association for Information Systems.8 indexed citations
5.
Pu, Jingchuan, Young Kwark, Sang Pil Han, Bin Gu, & Qiang Ye. (2017). The Effects of a Platform-Initiated Reviewer Incentive Program on Regular Review Generation. SSRN Electronic Journal.3 indexed citations
6.
Liang, Chen, Yili Hong, & Bin Gu. (2016). Effects of IT-Enabled Monitoring Systems in Online Labor Markets. International Conference on Information Systems.8 indexed citations
7.
Zhang, Jie, et al.. (2014). Virtual Team Performances in Crowdsourcing Contests. Journal of the Association for Information Systems.1 indexed citations
8.
Zhang, Jie, et al.. (2014). Virtual team performance in crowdsourcing contests: A social network perspective completed research paper. International Conference on Information Systems.1 indexed citations
9.
Zhang, Jie, et al.. (2014). Virtual Team Performance in Crowdsourcing Contests: A Social Network Perspective.. Journal of the Association for Information Systems.3 indexed citations
10.
Tang, Qian, Bin Gu, & Andrew B. Whinston. (2012). Content Contribution for Revenue Sharing and Reputation in Social Media: A Dynamic Structural Model. SSRN Electronic Journal.2 indexed citations
11.
Lü, Yong, et al.. (2012). Social Influence and Defaults in Peer-to-Peer Lending Networks. International Conference on Information Systems. 1797–1813.22 indexed citations
12.
Gu, Bin, et al.. (2011). eCommerce and eDistribution: Understanding The Role of Power When Selecting Alternatives Channel Strategies 1.
13.
Tang, Qian, Bin Gu, & Andrew B. Whinston. (2011). Content Contribution under Revenue Sharing and Reputation Concern in Social Media: The Case of YouTube. Journal of the Association for Information Systems. 799–814.2 indexed citations
14.
Gu, Bin, Prabhudev Konana, & Hsuanwei Michelle Chen. (2011). Consumer product consideration and choice at purchase time at online retailers. Journal of the Association for Information Systems. 41(2). 632–646.3 indexed citations
15.
Pavlou, Paul A., et al.. (2010). Latent Growth Modeling in IS Research: Basic Tenets, Illustration, and Practical Guidelines. International Conference on Information Systems. 269.2 indexed citations
16.
Gan, Li, et al.. (2009). HABIT FORMATION IN ONLINE COMMUNITIES. Journal of the Association for Information Systems. 90(2). 189–9.6 indexed citations
17.
Ye, Qiang, Bin Gu, Wei Chen, & Rob Law. (2008). Measuring the Value of Managerial Responses to Online Reviews - A Natural Experiment of Two Online Travel Agencies. Journal of the Association for Information Systems. 115.32 indexed citations
18.
Duan, Wenjing, Bin Gu, & Andrew B. Whinston. (2006). The role of dealers in electronic markets: Empirical insights from online auctions. Journal of the Association for Information Systems. 121.
19.
Duan, Wenjing, et al.. (2005). Analysis of herding on the internet - an empirical investigation of online software download. Journal of the Association for Information Systems. 3548–3552.5 indexed citations
20.
Gu, Bin & Lorin M. Hitt. (2001). Transaction Costs and Market Efficiency. Journal of the Association for Information Systems. 85–96.6 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.