Feng Mai

3.5k citations
35 papers · 2.2k · 3 hit papers · h-index 18

Impact in

  • Accounting top 2%
    • Corporate Finance and Governance
    • Financial Distress and Bankruptcy Prediction
    • Auditing, Earnings Management, Governance
  • Marketing top 2%

Papers in

Feng Mai

33 papers receiving 2.1k citations

Feng Mai's Hit Papers

Measuring Corporate Culture Using Machine Learning 2020 · 530 citations
5300+2+5Years since publication100200300400500

Peers

Feng Mai
Comparison fields: 5 of 99
  • Accounting 597
  • Marketing 342
  • Finance 309
  • Strategy and Management 434
  • Management Information Systems 244
Replace Hailiang Chen with:
Hailiang Chen Hong Kong
Alina Sorescu United States
B. P. S. Murthi United States
Robert Seamans United States
Robyn L. Raschke United States
Tawei Wang United States
Tahir M. Nisar United Kingdom
Ahmed El‐Masry United Kingdom
Uday Rajan United States
Sanjeev Dewan United States
Feng Mai relative to Hailiang Chen Hong Kong Hailiang Chen's profile →
Citations per field
00.5×1.5×2.4×
Hailiang Chen · 1×
Citations per year

Countries citing papers authored by Feng Mai

Since Specialization
Citations

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

Fields of papers citing papers by Feng Mai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Measuring Corporate Culture Using Machine Learning
Hit paper breakdown →
2020530
2
Deep learning models for bankruptcy prediction using textual disclosures
Hit paper breakdown →
2018285
3
How Does Social Media Impact Bitcoin Value? A Test of the Silent Majority Hypothesis
Hit paper breakdown →
2018240
4 2018232
5 2021152
6 202284
7 201580
8 201680
9 201977
10 202062
11 202055
12 201837
13 201936
14 201329
15 202026
16 201525
17 202021
18 201819
19 201817
20 202316

About Feng Mai

Feng Mai is a scholar working on Artificial Intelligence, Sociology and Political Science, Management Information Systems, Strategy and Management and Information Systems, having authored 35 papers that have together received 2.2k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (8 papers), Auditing, Earnings Management, Governance (5 papers), Financial Markets and Investment Strategies (4 papers), Stock Market Forecasting Methods (4 papers), Sentiment Analysis and Opinion Mining (4 papers), Corporate Finance and Governance (4 papers), Customer Service Quality and Loyalty (4 papers) and Corporate Social Responsibility Reporting (3 papers). The work is most often cited by research in Accounting (597 citations), Marketing (342 citations), Finance (309 citations), Strategy and Management (434 citations) and Management Information Systems (244 citations). Feng Mai has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Kai Li, Xinyan Yan, Rui Shen, Chaojiang Wu, Xiaolin Li, Zhe Shan, Chihoon Lee, Ling Ma, Shaonan Tian and Roger H.L. Chiang. Their work appears in journals such as European Journal of Operational Research, Information & Management, Review of Financial Studies, Journal of the Association for Information Systems and Journal of Management 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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