John Bai

1.2k citations
44 papers · 541 · h-index 11

Impact in

  • Accounting top 5%
    • Corporate Finance and Governance
    • Auditing, Earnings Management, Governance
    • Corporate Taxation and Avoidance
  • Finance top 5%
    • Banking stability, regulation, efficiency
    • Financial Markets and Investment Strategies

Papers in

    • Corporate Finance and Governance 18
    • Auditing, Earnings Management, Governance 7
    • Risk Management in Financial Firms 4
    • Firm Innovation and Growth 8
    • Labor market dynamics and wage inequality 3

John Bai

40 papers receiving 534 citations

Peers

John Bai
Comparison fields: 5 of 66
  • Accounting 281
  • Finance 163
  • Economics and Econometrics 264
  • General Economics, Econometrics and Finance 50
  • Strategy and Management 85
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John Bai relative to Francesco Manaresi Italy Francesco Manaresi's profile →
Citations per field
00.5×4.5×
Francesco Manaresi · 1×
Citations per year

Countries citing papers authored by John Bai

Since Specialization
Citations

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

Fields of papers citing papers by John Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019161
2 201898
3 201843
4 202041
5 202020
6 202018
7 202116
8 202116
9 202315
10 202115
11 202211
12 20218
13 20218
14 20207
15 20226
16 20245
17 20225
18 20155
19 20235
20 20244

About John Bai

John Bai is a scholar working on Accounting, Economics and Econometrics, Finance, Management Information Systems and Sociology and Political Science, having authored 44 papers that have together received 541 indexed citations. Recurring topics across this work include Corporate Finance and Governance (18 papers), Financial Markets and Investment Strategies (8 papers), Firm Innovation and Growth (8 papers), Auditing, Earnings Management, Governance (7 papers), FinTech, Crowdfunding, Digital Finance (6 papers), Risk Management in Financial Firms (4 papers), Banking stability, regulation, efficiency (3 papers) and Labor market dynamics and wage inequality (3 papers). The work is most often cited by research in Accounting (281 citations), Finance (163 citations), Economics and Econometrics (264 citations), General Economics, Econometrics and Finance (50 citations) and Strategy and Management (85 citations). John Bai has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Matthew Serfling, Douglas J. Fairhurst, Chi Wan, Gordon M. Phillips, Daniel Carvalho, Wang Jin, Linlin Ma, Kevin Mullally, David H. Solomon and Chi Zhang. Their work appears in journals such as Management Science, Journal of Financial Economics, Financial Review, Empirical Economics and Review of Financial Studies.

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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