Feng Mai

3.3k total citations · 3 hit papers
38 papers, 2.1k citations indexed

About

Feng Mai is a scholar working on Artificial Intelligence, Sociology and Political Science and Management Information Systems. According to data from OpenAlex, Feng Mai has authored 38 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Sociology and Political Science and 7 papers in Management Information Systems. Recurrent topics in Feng Mai's work include Digital Marketing and Social Media (8 papers), Auditing, Earnings Management, Governance (5 papers) and Sentiment Analysis and Opinion Mining (4 papers). Feng Mai is often cited by papers focused on Digital Marketing and Social Media (8 papers), Auditing, Earnings Management, Governance (5 papers) and Sentiment Analysis and Opinion Mining (4 papers). Feng Mai collaborates with scholars based in United States, Canada and China. Feng Mai's co-authors include Kai Li, Rui Shen, Xinyan Yan, Chaojiang Wu, Xiaolin Li, Zhe Shan, Chihoon Lee, Ling Ma, Shaonan Tian and Roger H.L. Chiang and has published in prestigious journals such as Journal of Consumer Research, Review of Financial Studies and European Journal of Operational Research.

In The Last Decade

Feng Mai

35 papers receiving 2.0k citations

Hit Papers

Measuring Corporate Culture Using Machine Learning 2018 2026 2020 2023 2020 2018 2018 100 200 300 400

Peers

Feng Mai
Comparison fields: 5 of 101
  • Accounting 570
  • Sociology and Political Science 522
  • Economics and Econometrics 435
  • Strategy and Management 414
  • Artificial Intelligence 370
Replace Hailiang Chen with:
Hailiang Chen Hong Kong
Prodromos Chatzoglou Greece
Robert Seamans United States
Alina Sorescu United States
Ahmed El‐Masry United Kingdom
Waymond Rodgers United States
Hian Chye Koh Singapore
Robyn L. Raschke United States
Michael Siering Germany
Michael Dowling Ireland
Hailiang Chen Hong Kong View profile →
Citations per field, relative to Feng Mai
Feng Mai · 1×
Citations per year, relative to Feng Mai
Feng Mai · 1×

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-authorship network of co-authors of Feng Mai

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Mai. A scholar is included among the top collaborators of Feng Mai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Feng Mai. Feng Mai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 0
4 1
5 0
6 11
7 13
8 2
9 20
10
Measuring Corporate Culture Using Machine Learning breakdown →
484
11
Bursty Coordination in Online Communities
3
12
Does Sleep Deprivation Cause Online Incivility? Evidence from a Natural Experiment
2
13 35
14 75
15
Deep learning models for bankruptcy prediction using textual disclosures breakdown →
272
16
How Does Social Media Impact Bitcoin Value? A Test of the Silent Majority Hypothesis breakdown →
229
17 228
18 17
19 80
20
The Impacts of Social Media on Bitcoin Performance
11

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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