Feng Mai

Feng Mai

Stevens Institute of Technology

H-index: 17

North America-United States

About Feng Mai

Feng Mai, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at Stevens Institute of Technology, specializes in the field of FinTech, Text Mining, Online Communities, Information Systems, Business Analytics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Stigmergy in Open Collaboration: An Empirical Investigation Based on Wikipedia

The Impact of Accelerated Digitization on Patient Portal Use by Underprivileged Racial Minority Groups During COVID-19: Longitudinal Study

Female equity analysts and corporate environmental and social performance

A computational framework for understanding firm communication during disasters

Stand for Something or Fall for Everything: Predict Misinformation Spread with Stance-Aware Graph Neural Networks

Dissecting Corporate Culture Using Generative AI–Insights from Analyst Reports

Effect of online review sentiment on product sales: The moderating role of review credibility perception

The Effect of Learning Bots on User Participation in Open Collaboration Communities

Feng Mai Information

University

Position

___

Citations(all)

2335

Citations(since 2020)

2181

Cited By

698

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

18

i10Index(since 2020)

17

Email

University Profile Page

Stevens Institute of Technology

Google Scholar

View Google Scholar Profile

Feng Mai Skills & Research Interests

FinTech

Text Mining

Online Communities

Information Systems

Business Analytics

Top articles of Feng Mai

Title

Journal

Author(s)

Publication Date

Stigmergy in Open Collaboration: An Empirical Investigation Based on Wikipedia

Journal of Management Information Systems

Lei Zheng

Feng Mai

Bei Yan

Jeffrey V Nickerson

2023/7/3

The Impact of Accelerated Digitization on Patient Portal Use by Underprivileged Racial Minority Groups During COVID-19: Longitudinal Study

Journal of Medical Internet Research

Feng Mai

Dong-Gil Ko

Zhe Shan

Dawei Zhang

2023/8/9

Female equity analysts and corporate environmental and social performance

Available at SSRN 4154013

Kai Li

Feng Mai

Gabriel Wong

Chelsea Yang

Tengfei Zhang

2023/6/8

A computational framework for understanding firm communication during disasters

Information Systems Research

Bei Yan

Feng Mai

Chaojiang Wu

Rui Chen

Xiaolin Li

2023/11/7

Stand for Something or Fall for Everything: Predict Misinformation Spread with Stance-Aware Graph Neural Networks

2023 International Conference on Information Systems Proceedings (ICIS)

Zihan Chen

Jingyi Sun

Rong Liu

Feng Mai

2023/10/4

Dissecting Corporate Culture Using Generative AI–Insights from Analyst Reports

Available at SSRN 4558295

Kai Li

Feng Mai

Rui Shen

Chelsea Yang

Tengfei Zhang

2023/8/31

Effect of online review sentiment on product sales: The moderating role of review credibility perception

Computers in Human Behavior

Qiang Wang

Wen Zhang

Jian Li

Feng Mai

Zhenzhong Ma

2022/8/1

The Effect of Learning Bots on User Participation in Open Collaboration Communities

ACM Collective Intelligence

LEI NICO ZHENG

FENG MAI

B Yan

JV Nickerson

2022

The role of corporate culture in bad times: Evidence from the COVID-19 pandemic

Journal of Financial and Quantitative Analysis

Kai Li

Xing Liu

Feng Mai

Tengfei Zhang

2021/11

The Effect of Learning Machines on Online Community Governance

Workshop on Information Technology and Systems

Lei Nico Zheng

Feng Mai

Bei Yan

Jeffrey V Nickerson

2021/1

The effect of content depth and deviation on online review helpfulness: Evidence from double-hurdle model

Information & Management

Chaojiang Wu

Feng Mai

Xiaolin Li

2021/3/1

Measuring Corporate Culture Using Machine Learning

The Review of Financial Studies

Kai Li

Feng Mai

Rui Shen

Xinyan Yan

2021

Empirical Analysis of Multi-Task Learning for Reducing Identity Bias in Toxic Comment Detection

Proceedings of the International AAAI Conference on Web and Social Media

Ameya Vaidya

Feng Mai

Yue Ning

2020/5/26

Predicting shareholder litigation on insider trading from financial text: An interpretable deep learning approach

Information & Management

Rong Liu

Feng Mai

Zhe Shan

Ying Wu

2020/12/1

See List of Professors in Feng Mai University(Stevens Institute of Technology)

Co-Authors

H-index: 49
James R Evans

James R Evans

University of Cincinnati

H-index: 33
Jeffrey V. Nickerson

Jeffrey V. Nickerson

Stevens Institute of Technology

H-index: 26
June Cotte

June Cotte

Western University

H-index: 24
Roger H.L. Chiang

Roger H.L. Chiang

University of Cincinnati

H-index: 22
Neil Bendle

Neil Bendle

University of Georgia

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