Fan Yu

599 citations
42 papers · 395 · h-index 10

Impact in

  • Finance top 5%
    • Credit Risk and Financial Regulations
    • Banking stability, regulation, efficiency
    • Stochastic processes and financial applications
    • Financial Markets and Investment Strategies
  • Accounting top 5%
    • Corporate Finance and Governance
    • Financial Distress and Bankruptcy Prediction

Papers in

Fan Yu

32 papers receiving 378 citations

Peers

Fan Yu
Comparison fields: 5 of 65
  • Finance 192
  • Accounting 146
  • Strategy and Management 53
  • Economics and Econometrics 86
  • Automotive Engineering 33
Replace Byungjin Kwak with:
Byungjin Kwak South Korea
Julie Byrne Ireland
Henry Hongren Huang Taiwan
Charles Vanasse Canada
Stéphane Auray France
Minki Kim South Korea
Martin Vlček Switzerland
Thomas P. Howard United Kingdom
Jichen Zhu United States
Da Ke China
Fan Yu relative to Byungjin Kwak South Korea Byungjin Kwak's profile →
Citations per field
00.5×2.8×
Byungjin Kwak · 1×
Citations per year

Countries citing papers authored by Fan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Fan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fan Yu, 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 Fan Yu Line = papers co-authored together Fan Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005159
2 201824
3 202123
4 201721
5 201520
6 200920
7 201714
8 200314
9 201613
10 201912
11 20169
12 20027
13 20196
14 20126
15 20145
16 20105
17 20175
18 20105
19 20024
20 20153

About Fan Yu

Fan Yu is a scholar working on Accounting, Strategy and Management, Finance, Automotive Engineering and Control and Systems Engineering, having authored 42 papers that have together received 395 indexed citations. Recurring topics across this work include Corporate Finance and Governance (15 papers), Financial Reporting and Valuation Research (11 papers), Vehicle Dynamics and Control Systems (6 papers), Financial Markets and Investment Strategies (6 papers), Autonomous Vehicle Technology and Safety (3 papers), Robotic Path Planning Algorithms (3 papers), Credit Risk and Financial Regulations (3 papers) and Transportation Safety and Impact Analysis (2 papers). The work is most often cited by research in Finance (192 citations), Accounting (146 citations), Strategy and Management (53 citations), Economics and Econometrics (86 citations) and Automotive Engineering (33 citations). Fan Yu has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Robert A. Jarrow, David Lando, Jiaping Qiu, Jin Lei, Chi Wan, Bingcong Chen, Jianwu Zhang, Guoqiang Sun, Yan Wang and Adams Bodomo. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Journal of Corporate Finance, International Journal of Vehicle Design, Economic Modelling and International Review of Economics & Finance.

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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