Yanbin Tu

18 papers receiving 434 citations

Yanbin Tu's Hit Papers

Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending 2014 · 349 citations
3490+4+8Years since publication100200300

Peers

Yanbin Tu
Comparison fields: 5 of 60
  • Management Information Systems 286
  • Accounting 171
  • Marketing 89
  • Finance 79
  • Economics and Econometrics 189
Replace Zaiyan Wei with:
Zaiyan Wei United States
Ruyi Ge China
Yanhao Wei United States
Ioannis Anagnostopoulos United Kingdom
Son Tran Vietnam
Puneet Prakash United States
Saman Adhami Austria
Joshua G. Coyne United States
Manjit Singh India
Roman Chychyla United States
Yanbin Tu relative to Zaiyan Wei United States Zaiyan Wei's profile →
Citations per field
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Zaiyan Wei · 1×
Citations per year

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-authors

The 19 scholars most cited alongside Yanbin Tu, 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 Yanbin Tu Line = papers co-authored together Yanbin Tu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending
Hit paper breakdown →
2014349
2 201826
3
Peer-and-Self Assessment to Reveal the Ranking of Each Individual's Contribution to a Group Project
200417
4 200615
5 201312
6 20088
7
Online Auction Segmentation and Effective Selling Strategy: Trust and Information Asymmetry Perspectives
20176
8 20244
9 20233
10 20253
11 20093
12 20193
13 20192
14 20172
15 20112
16 20112
17 20092
18
Computers and Packaged Software: Necessary or Luxury Goods? Longitudinal Empirical Analysis and Its Implications
20101
19 20201
20 20090

About Yanbin Tu

Yanbin Tu is a scholar working on Marketing, Management Science and Operations Research, Sociology and Political Science, Artificial Intelligence and Strategy and Management, having authored 23 papers that have together received 461 indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (10 papers), Auction Theory and Applications (9 papers), Digital Marketing and Social Media (6 papers), Digital Platforms and Economics (3 papers), Technology Adoption and User Behaviour (3 papers), Game Theory and Applications (2 papers), Imbalanced Data Classification Techniques (2 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in Management Information Systems (286 citations), Accounting (171 citations), Marketing (89 citations), Finance (79 citations) and Economics and Econometrics (189 citations). Yanbin Tu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Min Lu, Riza Emekter, Benjamas Jirasakuldech, Min Lu, Paulo Góes, Peixia Yang, Jinqiu Zhang, Peng Wang, Maozhong An and Xubo Zhang. Their work appears in journals such as Journal of theoretical and applied electronic commerce research, Journal of electronic commerce research, Online Information Review, Finance research letters and Journal of the Association for 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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