Bin Ke

6.6k citations
97 papers · 4.7k indexed · 2 hit papers · h-index 29

Bin Ke

95 papers receiving 4.5k citations

Hit Papers

Detecting Accounting Fra...2702002202620102018200400600

Peers

Bin Ke
Comparison fields: 5 of 95
  • Accounting 4.2k
  • Finance 2.5k
  • Strategy and Management 1.1k
  • Economics and Econometrics 633
  • Management Information Systems 191
Replace Darren T. Roulstone with:
Darren T. Roulstone United States
Sanjeev Bhojraj United States
Joanna S. Wu United States
Linda Smith Bamber United States
Todd T. Milbourn United States
David Aboody United States
Oliver Kim United States
Joshua Livnat United States
Simi Kedia United States
Robert M. Bowen United States
Bin Ke relative to Darren T. Roulstone United States Darren T. Roulstone's profile →
Citations per field
00.5×1.6×
Darren T. Roulstone · 1×
Citations per year

Countries citing papers authored by Bin Ke

Since Specialization
Citations

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

Fields of papers citing papers by Bin Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20241
3 20241
4 20241
5 20241
6 202324
7 20230
8 20231
9 20236
10 20231
11
A Review of China Tax Research
20212
12
Why don’t analysts use their earnings forecasts in generating stock recommendations
20201
13
Detecting Accounting Fraud in Publicly Traded U.S. Firms Using a Machine Learning Approachbreakdown →
2019270
14 20194
15
Measuring the Information Content of Financial News.
201622
16
Modeling contagious merger and acquisition via point processes with a profile regression prior
201614
17
Detecting Accounting Frauds in Publicly Traded U.S. Firms: A Machine Learning Approach
20155
18
The Effect of China's Weak Institutional Environment on the Quality of Big Four Audits
201417
19
The Role of Firm Status in Appointments of Accounting Financial Experts to Audit Committees
201210
20 20116

About Bin Ke

Bin Ke is a scholar working on Accounting, Finance and Strategy and Management, having authored 97 papers that have together received 4.7k indexed citations. Recurring topics across this work include Auditing, Earnings Management, Governance (68 papers), Corporate Finance and Governance (60 papers), Financial Markets and Investment Strategies (31 papers), Corporate Taxation and Avoidance (16 papers), Financial Reporting and Valuation Research (11 papers), Corruption and Economic Development (7 papers), Insurance and Financial Risk Management (7 papers) and Taxation and Compliance Studies (5 papers). The work is most often cited by research in Accounting (4.2k citations), Finance (2.5k citations) and Strategy and Management (1.1k citations). Bin Ke has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Kathy R. Petroni, Steven J. Huddart, Yong Yu, Anne Beatty, Santhosh Ramalingegowda, Jere R. Francis, Zhihong Chen, Clive S. Lennox, Qingquan Xin and Zhifeng Yang. Their work appears in journals such as Journal of Accounting Research, The Accounting Review, Journal of Accounting and Economics, Review of Accounting Studies and Contemporary Accounting Research.

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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