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, Xinyan Yan, Rui Shen, Chaojiang Wu, Xiaolin Li, Zhe Shan, Shaonan Tian, Chihoon Lee, Ling Ma 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

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Measuring Corporate Culture Using Machine Learning

2020 484 citations Kai Li, Feng Mai et al. Review of Financial Studies profile →
Deep learning models for bankruptcy prediction using textual disclosures

2018 272 citations Feng Mai, Shaonan Tian et al. European Journal of Operational Research profile →
How Does Social Media Impact Bitcoin Value? A Test of the Silent Majority Hypothesis

2018 229 citations Feng Mai, Zhe Shan et al. Journal of Management Information Systems profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Feng Mai	570	522	435	414	370	38	2.1k
Hailiang Chen	550 1.0×	559 1.1×	417 1.0×	241 0.6×	159 0.4×	56	1.8k
Prodromos Chatzoglou	218 0.4×	423 0.8×	301 0.7×	592 1.4×	314 0.8×	96	2.9k
Robert Seamans	276 0.5×	622 1.2×	764 1.8×	583 1.4×	177 0.5×	79	2.2k
Alina Sorescu	360 0.6×	531 1.0×	369 0.8×	862 2.1×	169 0.5×	31	2.4k
Ahmed El‐Masry	624 1.1×	680 1.3×	276 0.6×	219 0.5×	192 0.5×	46	1.8k
Hian Chye Koh	1.1k 1.9×	270 0.5×	245 0.6×	536 1.3×	220 0.6×	53	2.8k
Waymond Rodgers	490 0.9×	647 1.2×	124 0.3×	610 1.5×	139 0.4×	82	2.2k
Robyn L. Raschke	380 0.7×	285 0.5×	220 0.5×	682 1.6×	106 0.3×	52	2.0k
Michael Siering	245 0.4×	608 1.2×	680 1.6×	140 0.3×	308 0.8×	28	1.8k
Michael Dowling	442 0.8×	195 0.4×	1.1k 2.5×	159 0.4×	278 0.8×	85	2.5k

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Mai, Feng, et al.. (2025). A new technique for measuring a firm’s marketing emphasis. Marketing Letters. 36(4). 823–837. 1 indexed citations

Li, Kai, et al.. (2025). Dissecting Corporate Culture Using Generative AI. Review of Financial Studies. 39(1). 253–296.

Mai, Feng, et al.. (2025). Lean operations and firm resilience - contrasting effects of COVID-19 and economic recession. Omega. 135. 103308–103308. 2 indexed citations

Yang, Shanshan, Steve Y. Yang, & Feng Mai. (2024). Financial Semantic Textual Similarity: A New Dataset and Model. 1–8. 1 indexed citations

Sun, Jingyi, et al.. (2023). Stand for Something or Fall for Everything: Predict Misinformation Spread with Stance-Aware Graph Neural Networks. SSRN Electronic Journal.

Li, Kai, et al.. (2023). Dissecting Corporate Culture Using Generative AI – Insights from Analyst Reports. SSRN Electronic Journal. 13 indexed citations

Mai, Feng, et al.. (2023). The Impact of Accelerated Digitization on Patient Portal Use by Underprivileged Racial Minority Groups During COVID-19: Longitudinal Study. Journal of Medical Internet Research. 25. e44981–e44981. 11 indexed citations

Mai, Feng, et al.. (2021). The Role of Corporate Culture in Bad Times: Evidence from the COVID-19 Pandemic. Journal of Financial and Quantitative Analysis. 56(7). 2545–2583. 139 indexed citations

Yu, Yongbin, et al.. (2020). Deep CNN with SE Block for Speaker Recognition. 240–244. 2 indexed citations

10.

Liu, Rong, et al.. (2020). Predicting shareholder litigation on insider trading from financial text: An interpretable deep learning approach. Information & Management. 57(8). 103387–103387. 20 indexed citations

11.

Mai, Feng, et al.. (2019). Bursty Coordination in Online Communities. Journal of the Association for Information Systems. 3 indexed citations

12.

Mai, Feng, et al.. (2019). Does Sleep Deprivation Cause Online Incivility? Evidence from a Natural Experiment. Journal of the Association for Information Systems. 2 indexed citations

13.

Ko, Dong‐Gil, et al.. (2019). Operational efficiency and patient‐centered health care: A view from online physician reviews. Journal of Operations Management. 65(4). 353–379. 75 indexed citations

14.

Mai, Feng, Shaonan Tian, Chihoon Lee, & Ling Ma. (2018). Deep learning models for bankruptcy prediction using textual disclosures. European Journal of Operational Research. 274(2). 743–758. 272 indexed citations breakdown →

15.

Li, Kai, Feng Mai, Rui Shen, & Xinyan Yan. (2018). Measuring Corporate Culture Using Machine Learning. SSRN Electronic Journal. 19 indexed citations

16.

Li, Xiaolin, Chaojiang Wu, & Feng Mai. (2018). The effect of online reviews on product sales: A joint sentiment-topic analysis. Information & Management. 56(2). 172–184. 228 indexed citations

17.

Mai, Feng, Zhe Shan, Qing Bai, Xin Wang, & Roger H.L. Chiang. (2018). How Does Social Media Impact Bitcoin Value? A Test of the Silent Majority Hypothesis. Journal of Management Information Systems. 35(1). 19–52. 229 indexed citations breakdown →

18.

Mai, Feng, Matthew W. Ford, & James R. Evans. (2018). An empirical investigation of the Baldrige framework using applicant scoring data. International Journal of Quality & Reliability Management. 35(8). 1599–1616. 17 indexed citations

19.

Mai, Feng, et al.. (2016). Supply-chain performance anomalies: Fairness concerns under private cost information. European Journal of Operational Research. 252(1). 170–182. 80 indexed citations

20.

Mai, Feng, et al.. (2015). The Impacts of Social Media on Bitcoin Performance. International Conference on Information Systems. 11 indexed citations

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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