World's Best Scientists 2026 revealed!

D-Index & Metrics

Business and Management

D-Index
64
Citations
12446
World Ranking
429
National Ranking
28

Engineering and Technology

D-Index
65
Citations
13402
World Ranking
1556
National Ranking
303

Desheng Dash Wu publication distribution in Business and Management in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Business and Management in 2026. The highlighted bar marks where Desheng Dash Wu sits on this spectrum.

35–39 publications: 2 scientists 40–44 publications: 2 scientists 45–49 publications: 5 scientists 50–54 publications: 20 scientists 55–59 publications: 39 scientists 60–64 publications: 66 scientists 65–69 publications: 52 scientists 70–74 publications: 80 scientists 75–79 publications: 83 scientists 80–84 publications: 116 scientists 85–89 publications: 94 scientists 90–94 publications: 111 scientists 95–99 publications: 122 scientists 100–104 publications: 104 scientists 105–109 publications: 113 scientists 110–114 publications: 96 scientists 115–119 publications: 97 scientists 120–124 publications: 112 scientists 125–129 publications: 93 scientists 130–134 publications: 79 scientists 135–139 publications: 69 scientists 140–144 publications: 80 scientists 145–149 publications: 81 scientists 150–154 publications: 85 scientists 155–159 publications: 50 scientists 160–164 publications: 74 scientists 165–169 publications: 61 scientists 170–174 publications: 40 scientists 175–179 publications: 44 scientists 180–184 publications: 47 scientists 185–189 publications: 59 scientists 190–194 publications: 35 scientists 195–199 publications: 37 scientists 200–204 publications: 49 scientists 205–209 publications: 48 scientists 210–214 publications: 34 scientists 215–219 publications: 31 scientists 220–224 publications: 37 scientists 225–229 publications: 34 scientists 230–234 publications: 25 scientists 235–239 publications: 28 scientists 240–244 publications: 34 scientists 245–249 publications: 28 scientists 250–254 publications: 23 scientists 255–259 publications: 22 scientists 260–264 publications: 11 scientists 265–269 publications: 16 scientists 270–274 publications: 23 scientists 275–279 publications: 12 scientists 280–284 publications: 16 scientists 285–289 publications: 10 scientists 290–294 publications: 12 scientists 295–299 publications: 12 scientists 300–304 publications: 8 scientists 305–309 publications: 13 scientists 310–314 publications: 13 scientists 315–319 publications: 6 scientists 320–324 publications: 10 scientists 325–329 publications: 9 scientists 330–334 publications: 7 scientists 335–339 publications: 10 scientists 340–344 publications: 10 scientists 345–349 publications: 7 scientists 350–354 publications: 4 scientists 355–359 publications: 10 scientists 360–364 publications: 3 scientists 365–369 publications: 7 scientists 370–374 publications: 2 scientists 375–379 publications: 8 scientists 380–384 publications: 4 scientists 385–389 publications: 5 scientists 390–394 publications: 5 scientists 395–399 publications: 2 scientists 400–404 publications: 2 scientists 405–409 publications: 4 scientists 410–414 publications: 3 scientists 415–419 publications: 2 scientists 420–424 publications: 5 scientists 425–429 publications: 3 scientists 430–434 publications: 1 scientists 435 publications: 1 scientists 436+ publications: 100 scientists
35 publications 436+

This scientist: 329 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 436 publications or more.

Desheng Dash Wu D-index placement in Business and Management in 2026

The chart shows the D-index (discipline H-index) distribution of Business and Management scientists ranked by Research.com in 2026. The highlighted bar marks where Desheng Dash Wu sits on this spectrum.

30 D-Index: 156 scientists 31 D-Index: 159 scientists 32 D-Index: 171 scientists 33 D-Index: 161 scientists 34 D-Index: 135 scientists 35 D-Index: 124 scientists 36 D-Index: 114 scientists 37 D-Index: 111 scientists 38 D-Index: 103 scientists 39 D-Index: 89 scientists 40 D-Index: 81 scientists 41 D-Index: 97 scientists 42 D-Index: 80 scientists 43 D-Index: 69 scientists 44 D-Index: 68 scientists 45 D-Index: 63 scientists 46 D-Index: 54 scientists 47 D-Index: 69 scientists 48 D-Index: 50 scientists 49 D-Index: 58 scientists 50 D-Index: 54 scientists 51 D-Index: 62 scientists 52 D-Index: 54 scientists 53 D-Index: 43 scientists 54 D-Index: 49 scientists 55 D-Index: 35 scientists 56 D-Index: 40 scientists 57 D-Index: 44 scientists 58 D-Index: 34 scientists 59 D-Index: 29 scientists 60 D-Index: 48 scientists 61 D-Index: 32 scientists 62 D-Index: 30 scientists 63 D-Index: 22 scientists 64 D-Index: 22 scientists 65 D-Index: 19 scientists 66 D-Index: 20 scientists 67 D-Index: 18 scientists 68 D-Index: 17 scientists 69 D-Index: 21 scientists 70 D-Index: 20 scientists 71 D-Index: 19 scientists 72 D-Index: 14 scientists 73 D-Index: 10 scientists 74 D-Index: 16 scientists 75 D-Index: 24 scientists 76 D-Index: 13 scientists 77 D-Index: 19 scientists 78 D-Index: 8 scientists 79 D-Index: 6 scientists 80 D-Index: 4 scientists 81 D-Index: 12 scientists 82 D-Index: 7 scientists 83 D-Index: 7 scientists 84 D-Index: 6 scientists 85 D-Index: 10 scientists 86 D-Index: 4 scientists 87 D-Index: 11 scientists 88 D-Index: 6 scientists 89+ D-Index: 96 scientists
30 D-Index 89+

This scientist: 64 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 89 D-Index or more.

Research.com Recognitions

  • 2019 - Member of Academia Europaea
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts

Overview

Desheng Dash Wu is affiliated with the Chinese Academy of Sciences in China. Their primary field of study is Computer Science, with significant contributions across subfields including Artificial Intelligence, Economics and Econometrics, Management Science and Operations Research, Molecular Biology, and Strategy and Management.

Their recent publications cover a range of interdisciplinary topics, reflecting a focus on both technical and applied research. Notable papers include:

  • Graph neural networks for molecular and materials representation, 2023, Journal of Materials Informatics
  • Research Advances on the Stability of mRNA Vaccines, 2023, Viruses
  • Association between the nasopharyngeal microbiome and metabolome in patients with COVID-19, 2021, Synthetic and Systems Biotechnology
  • A hybrid risk prioritization approach in construction projects using failure mode and effective analysis, 2020, Engineering Construction & Architectural Management
  • A systematic approach of determining compensation and allocation for river basin water environment based on total pollutants control, 2020, Journal of Environmental Management

The scientist's work encompasses key topics such as Supply Chain Resilience and Risk Management, Energy, Environment, Economic Growth, Advanced Mathematical Physics Problems, Topic Modeling, COVID-19 epidemiological studies, Sustainable Supply Chain Management, and Efficiency Analysis Using DEA.

Frequent co-authors collaborating with Desheng Dash Wu include:

  • David L. Olson
  • Cuicui Luo
  • Jianhong Cao
  • Songlin Hu
  • Guangyuan Ma

Publications appear often in venues such as:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Sustainability
  • Risk Analysis
  • Industrial Management & Data Systems

Desheng Dash Wu has also contributed to the academic literature through books published by reputable publishers. These include:

  • Pandemic Risk Management in Operations and Finance (Springer Nature, 2020)
  • Enterprise Risk Management Models (Springer International Publishing, 2023)
  • Business Analytics with R and Python (AI for risks, 2024)

The scientist's recognition includes election as a member of prominent academic bodies such as the Academia Europaea in 2019 and the European Academy of Sciences and Arts.

Best Publications

  • Using text mining and sentiment analysis for online forums hotspot detection and forecast

    Nan Li;Desheng Dash Wu

  • Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm

    Unknown

  • Power load forecasting using support vector machine and ant colony optimization

    Dongxiao Niu;Yongli Wang;Desheng Dash Wu

  • Supply Chain Risk, Simulation, and Vendor Selection

    Desheng Wu;David L. Olson

  • Using DEA-neural network approach to evaluate branch efficiency of a large Canadian bank

    Unknown

  • The method of grey related analysis to multiple attribute decision making problems with interval numbers

    Jijun Zhang;Desheng Wu;D. L. Olson

  • Fuzzy multi-objective programming for supplier selection and risk modeling: A possibility approach

    Desheng Dash Wu;Desheng Dash Wu;Yidong Zhang;Dexiang Wu;David L. Olson

  • Supplier selection: A hybrid model using DEA, decision tree and neural network

    Unknown

  • A review of enterprise risk management in supply chain

    David L. Olson;Desheng Dash Wu

  • Business intelligence in risk management: Some recent progresses

    Desheng Dash Wu;Shu-Heng Chen;David L. Olson

  • Enterprise risk management: a DEA VaR approach in vendor selection

    Desheng Dash Wu;David Olson

  • A deep learning approach for credit scoring using credit default swaps

    Cuicui Luo;Desheng Wu;Dexiang Wu

  • Forecasting Stock Market Movement Direction Using Sentiment Analysis and Support Vector Machine

    Rui Ren;Desheng Dash Wu;Tianxiang Liu

  • Online banking performance evaluation using data envelopment analysis and principal component analysis

    Chien-Ta Bruce Ho;Desheng Dash Wu

  • Enterprise risk management: coping with model risk in a large bank

    Desheng Wu;David L. Olson

  • ROUGH DATA ENVELOPMENT ANALYSIS AND ITS APPLICATION TO SUPPLY CHAIN PERFORMANCE EVALUATION

    Jiuping Xu;Bin Li;Desheng Wu;Desheng Wu

  • Bargaining in competing supply chains with uncertainty

    Desheng Wu;Opher Baron;Oded Berman

  • Risk management models for supply chain: a scenario analysis of outsourcing to China

    David L. Olson;Desheng Wu

  • Simulation of fuzzy multiattribute models for grey relationships

    David L. Olson;Desheng Wu

  • Disaster early warning and damage assessment analysis using social media data and geo-location information

    Desheng Wu;Desheng Wu;Yiwen Cui

  • Chance Constrained Programming

    David L. Olson;Desheng Wu

  • Kernel Discriminant Learning for Ordinal Regression

    Bing-Yu Sun;Jiuyong Li;Desheng Dash Wu;Xiao-Ming Zhang

  • Improving employees' job satisfaction and innovation performance using conflict management

    Xiao‐Hong Chen;Ke Zhao;Xiang Liu;Desheng Dash Wu

  • Modeling technological innovation risks of an entrepreneurial team using system dynamics: An agent-based perspective

    Desheng Dash Wu;Desheng Dash Wu;Xie Kefan;Liu Hua;Zhao Shi

Frequent Co-Authors

David L. Olson
David L. Olson University of Nebraska–Lincoln
John R. Birge
John R. Birge University of Chicago
Liang Liang
Liang Liang Hefei University of Technology
Alexandre Dolgui
Alexandre Dolgui IMT Atlantique
Yongrok Choi
Yongrok Choi Inha University
Shu-Cherng Fang
Shu-Cherng Fang North Carolina State University
Tsan-Ming Choi
Tsan-Ming Choi University of Liverpool
Jiuyong Li
Jiuyong Li University of South Australia
Jiuping Xu
Jiuping Xu Sichuan University
Jian Song
Jian Song Tsinghua University

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