World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
5508
World Ranking
12106
National Ranking
4930

Overview

Ming Dong is affiliated with Wayne State University in the United States and has contributed extensively to the fields of economics, econometrics, and finance, with a notable focus on business, management, and accounting. Their research centers on finance, economics and econometrics, and accounting, with additional work in gender studies and strategy and management.

Their recent research covers topics including financial markets and investment strategies, market dynamics and volatility, corporate finance and governance, auditing, earnings management, governance, the impacts of the COVID-19 pandemic, sexual assault and victimization studies, and gender politics and representation.

Key recent publications by Ming Dong include:

  • Misvaluation and Corporate Inventiveness, 2020, Journal of Financial and Quantitative Analysis
  • Global weather-based trading strategies, 2022, Journal of Banking & Finance

Their frequent co-authors comprise Andréanne Tremblay, Shiu-Yik Au, Xinyao Zhou, David Hirshleifer, and Siew Hong Teoh.

Ming Dong has published multiple papers in a variety of academic journals and venues, notably:

  • SSRN Electronic Journal
  • PubMed
  • Journal of Financial and Quantitative Analysis
  • Journal of Business Ethics
  • Management Science

Their work shows a recurring collaboration pattern, particularly with Andréanne Tremblay and Shiu-Yik Au, reflecting ongoing research partnerships.

Their research areas reflect substantial engagement with corporate finance, investment strategies, and the economic consequences of social issues such as workplace sexual harassment and the COVID-19 pandemic.

Best Publications

  • Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks

    Qirong Mao;Ming Dong;Zhengwei Huang;Yongzhao Zhan

  • On distributed fault-tolerant detection in wireless sensor networks

    X. Luo;M. Dong;Y. Huang

  • Speech Emotion Recognition Using CNN

    Zhengwei Huang;Ming Dong;Qirong Mao;Yongzhao Zhan

  • Generating synthetic CTs from magnetic resonance images using generative adversarial networks.

    Hajar Emami;Ming Dong;Siamak P. Nejad-Davarani;Carri K. Glide-Hurst

  • Using Ranking-CNN for Age Estimation

    Shixing Chen;Caojin Zhang;Ming Dong;Jialiang Le

  • Region-based Image Annotation using Asymmetrical Support Vector Machine-based Multiple-Instance Learning

    Changbo Yang;Ming Dong;Jing Hua

  • SPA-GAN: Spatial Attention GAN for Image-to-Image Translation

    Hajar Emami;Majid Moradi Aliabadi;Ming Dong;Ratna Babu Chinnam

  • Non-negative matrix factorization for semi-supervised data clustering

    Yanhua Chen;Manjeet Rege;Ming Dong;Jing Hua

  • Non-Negative Matrix Factorization for Semisupervised Heterogeneous Data Coclustering

    Yanhua Chen;Lijun Wang;Ming Dong

  • The Semantic Web: opportunities and challenges for next-generation Web applications.

    Shiyong Lu;Ming Dong;Farshad Fotouhi

  • Region based image annotation through multiple-instance learning

    Changbo Yang;Ming Dong;Farshad Fotouhi

  • Look-ahead based fuzzy decision tree induction

    Ming Dong;R. Kothari

  • Exemplar-based Visualization of Large Document Corpus (InfoVis2009-1115)

    Yanhua Chen;Lijun Wang;Ming Dong;Jing Hua

  • Localized feature selection for clustering

    Yuanhong Li;Ming Dong;Jing Hua

  • Co-clustering Documents and Words Using Bipartite Isoperimetric Graph Partitioning

    M. Rege;Ming Dong;F. Fotouhi

  • Feature subset selection using a new definition of classifiability

    Ming Dong;Ravi Kothari

  • Graph theoretical framework for simultaneously integrating visual and textual features for efficient web image clustering

    Manjeet Rege;Ming Dong;Jing Hua

  • Cardiac substructure segmentation with deep learning for improved cardiac sparing.

    Eric D. Morris;Eric D. Morris;Ahmed I. Ghanem;Ahmed I. Ghanem;Ming Dong;Milan V. Pantelic

  • Hierarchical Bayesian Theme Models for Multipose Facial Expression Recognition

    Qirong Mao;Qiyu Rao;Yongbin Yu;Ming Dong

  • DECISION TREES FOR CLASSIFICATION: A REVIEW AND SOME NEW RESULTS

    R. Kothari;M. Dong

Frequent Co-Authors

Eishi Asano
Eishi Asano Wayne State University
Hao Ying
Hao Ying Wayne State University
Ratna Babu Chinnam
Ratna Babu Chinnam Wayne State University
Hong Qin
Hong Qin Stony Brook University
Shiyong Lu
Shiyong Lu Wayne State University
Weisong Shi
Weisong Shi Wayne State University
Xianfeng Gu
Xianfeng Gu Stony Brook University
Csaba Juhász
Csaba Juhász Wayne State University
Michael E. Behen
Michael E. Behen Wayne State University
Sylvie Naar-King
Sylvie Naar-King Florida State University

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