Yanbin Tu

682 total citations · 1 hit paper
23 papers, 454 citations indexed

About

Yanbin Tu is a scholar working on Marketing, Management Science and Operations Research and Sociology and Political Science. According to data from OpenAlex, Yanbin Tu has authored 23 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Marketing, 10 papers in Management Science and Operations Research and 6 papers in Sociology and Political Science. Recurrent topics in Yanbin Tu's work include Consumer Market Behavior and Pricing (10 papers), Auction Theory and Applications (9 papers) and Digital Marketing and Social Media (6 papers). Yanbin Tu is often cited by papers focused on Consumer Market Behavior and Pricing (10 papers), Auction Theory and Applications (9 papers) and Digital Marketing and Social Media (6 papers). Yanbin Tu collaborates with scholars based in United States, China and Canada. Yanbin Tu's co-authors include Min Lu, Riza Emekter, Benjamas Jirasakuldech, Min Lu, Paulo Góes, Peixia Yang, Peng Wang, Maozhong An, Jinqiu Zhang and Xubo Zhang and has published in prestigious journals such as Communications of the ACM, Decision Support Systems and Journal of the Association for Information Systems.

In The Last Decade

Yanbin Tu

18 papers receiving 425 citations

Hit Papers

align trajectories

What are hit papers?

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.

Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending

2014 347 citations Riza Emekter, Yanbin Tu et al. Applied Economics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yanbin Tu United States	7	287	190	169	88	80	23	454
Zaiyan Wei United States	9	231 0.8×	193 1.0×	62 0.4×	172 2.0×	55 0.7×	23	443
Ioannis Anagnostopoulos United Kingdom	6	298 1.0×	175 0.9×	89 0.5×	28 0.3×	75 0.9×	15	423
Utkarsh Goel India	9	58 0.2×	78 0.4×	136 0.8×	60 0.7×	40 0.5×	29	415
Puneet Prakash United States	8	105 0.4×	139 0.7×	113 0.7×	30 0.3×	50 0.6×	25	328
Jiasun Li United States	8	132 0.5×	141 0.7×	79 0.5×	24 0.3×	155 1.9×	24	427
Hongjiang Zhao China	10	178 0.6×	143 0.8×	37 0.2×	38 0.4×	8 0.1×	24	362
Yanhao Wei United States	8	86 0.3×	107 0.6×	71 0.4×	76 0.9×	46 0.6×	21	290
Ville Rantala Finland	8	23 0.1×	126 0.7×	190 1.1×	38 0.4×	106 1.3×	18	411
Saman Adhami Italy	6	382 1.3×	135 0.7×	183 1.1×	33 0.4×	110 1.4×	6	548

Countries citing papers authored by Yanbin Tu

Since Specialization

Citations

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

Fields of papers citing papers by Yanbin Tu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanbin Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Yanbin Tu. A scholar is included among the top collaborators of Yanbin Tu 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 Yanbin Tu. Yanbin Tu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Xubo, et al.. (2025). The paradox of government-guided funds: A negative impact on corporate ESG performance?!. Finance research letters. 75. 106900–106900. 1 indexed citations

Zhang, Xubo, et al.. (2024). Buyers’ Negative Ratings and Textual Comments on eBay: Reasons for Posting Ratings and Factors in Denouncing Sellers. Journal of theoretical and applied electronic commerce research. 19(3). 1717–1733. 3 indexed citations

Zhang, Xubo, et al.. (2023). Are eBay’s Feedback Ratings Consistent with the Sentiments Embedded in Textual Comments? An Empirical Study. Journal of theoretical and applied electronic commerce research. 18(4). 2257–2272. 3 indexed citations

Ke, Dan, et al.. (2019). Who will stay with the brand after posting non-5/5 rating of purchase? An empirical study of online consumer repurchase behavior. Information Systems and e-Business Management. 19(2). 405–437. 3 indexed citations

Chen, Lei & Yanbin Tu. (2019). Enhancing Online Auction Transaction Likelihood. International Journal of E-Business Research. 15(2). 116–132. 2 indexed citations

Tu, Yanbin, et al.. (2019). Effective selling strategies for online auctions on eBay: a comprehensive approach with CART model. International Journal of Business Information Systems. 30(2). 125–125.

Zhang, Jinqiu, et al.. (2018). Effect of BEO in the electrodeposition process of Ni/diamond composite coatings for preparation of ultra-thin dicing blades: Experiments and theoretical calculations. Ceramics International. 44(14). 16828–16836. 25 indexed citations

Tu, Yanbin, et al.. (2017). Online Auction Segmentation and Effective Selling Strategy: Trust and Information Asymmetry Perspectives. Journal of electronic commerce research. 18(3). 189–211. 6 indexed citations

Chen, Lei, Min Lu, & Yanbin Tu. (2017). After Auction's Complete. International Journal of E-Business Research. 13(3). 1–17. 2 indexed citations

10.

Emekter, Riza, Yanbin Tu, Benjamas Jirasakuldech, & Min Lu. (2014). Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending. Applied Economics. 47(1). 54–70. 347 indexed citations breakdown →

11.

Góes, Paulo, et al.. (2013). Seller heterogeneity in electronic marketplaces: A study of new and experienced sellers in eBay. Decision Support Systems. 56. 247–258. 11 indexed citations

12.

Tu, Yanbin, et al.. (2012). Insights into Online Auction Market Structure of eBay in 2006-2007: A Historical Perspective. 18(1). 31–56.

13.

Lu, Min, Steven Thompson, & Yanbin Tu. (2011). An Alternative Strategy For Building Sales Of Computers: Generic Advertising. Journal of Business & Economics Research (JBER). 5(11). 2 indexed citations

14.

Tu, Yanbin & Min Lu. (2011). An empirical study of online auction dynamics. International Journal of Electronic Business. 9(4). 376–376. 2 indexed citations

15.

Lu, Min, Steven Thompson, & Yanbin Tu. (2010). Computers and Packaged Software: Necessary or Luxury Goods? Longitudinal Empirical Analysis and Its Implications. 16(2). 32. 1 indexed citations

16.

Tu, Yanbin & Min Lu. (2009). Understanding the effectiveness of online digital music sampling: an exploratory study. International Journal of Internet Marketing and Advertising. 5(3). 166–166.

17.

Góes, Paulo, et al.. (2009). Technical opinionOnline auctions hidden metrics. Communications of the ACM. 52(4). 147–149. 3 indexed citations

18.

Tu, Yanbin. (2008). An application of web‐based data mining: selling strategies for online auctions. Online Information Review. 32(2). 147–162. 8 indexed citations

19.

Tu, Yanbin & Min Lu. (2006). An Experimental and Analytical Study of On-Line Digital Music Sampling Strategies. International Journal of Electronic Commerce. 10(3). 39–70. 15 indexed citations

20.

Tu, Yanbin & Min Lu. (2004). Peer-and-Self Assessment to Reveal the Ranking of Each Individual's Contribution to a Group Project. Journal of the Association for Information Systems. 16(2). 197–206. 17 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.

Explore authors with similar magnitude of impact