World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
5508
World Ranking
12104
National Ranking
4930

Ming Dong publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Ming Dong sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 153 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Ming Dong D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Ming Dong sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Computer Science is a dynamic field, but students interested in related areas can explore a wide array of online degree options and emerging career paths. Many learners benefit from a fast track computer science degree, which allows for rapid entry into the workforce or advancement in tech-driven roles.

For those with an interest in environmental concerns, there are valuable pathways such as environmental engineering bachelor's degree online and degree programs focusing on sustainability and conservation. These lead to a wide range of jobs for environmental science majors, from environmental analysts to policy advisors.

Similarly, aspiring engineers can now enroll in flexible and online mechanical engineering degrees to launch or advance careers in industries such as manufacturing, robotics, and energy. With so many accredited online programs, students can align their studies with their interests and career ambitions—all while balancing other commitments.

Best Scientists Citing Ming Dong

Trending Scientists

Recently Published Articles