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
1554
National Ranking
304

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

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

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

Exploring online degrees in the business and management field opens up a wide range of career pathways. Today’s students have access to flexible, accredited programs in areas such as leadership, healthcare management, and even construction management, allowing them to tailor their education to specific interests and goals.

Those aiming for executive or advanced consulting roles may consider a phd leadership online program. These degrees focus on organizational strategy, policy, and innovation, preparing graduates for key positions in both public and private sectors.

It’s crucial to choose from top accredited online colleges to ensure high standards and employer recognition. This applies to specialized programs as well, such as earning an online degree in construction management or an online healthcare management degree. Both options enable students to enter rapidly growing industries with strong leadership and operational skills.

Online education offers accessible opportunities for those seeking to advance or change their careers in the dynamic field of business and management.

Best Scientists Citing Desheng Dash Wu

Trending Scientists

Recently Published Articles