World's Best Scientists 2026 revealed!
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Social Sciences and Humanities
USA
2026

D-Index & Metrics

Social Sciences and Humanities

D-Index
86
Citations
40107
World Ranking
251
National Ranking
115

Engineering and Technology

D-Index
81
Citations
30899
World Ranking
484
National Ranking
164

Research.com Recognitions

  • 2026 - Research.com Social Sciences and Humanities in United States Leader Award

Overview

Joe Zhu is affiliated with Worcester Polytechnic Institute in the United States. Their research primarily spans the fields of Decision Sciences and Economics, Econometrics and Finance, with significant contributions to subfields such as Management Science and Operations Research, Economics and Econometrics, Control and Systems Engineering, Management Information Systems, and Statistics, Probability and Uncertainty.

The scientist's main research topics include Efficiency Analysis Using DEA, Multi-Criteria Decision Making, Forecasting Techniques and Applications, Economic and Environmental Valuation, Advanced Statistical Process Monitoring, Fiscal Policy and Economic Growth, and Optimization and Mathematical Programming.

Joe Zhu's recent publications include the following papers:

  • DEA under big data: data enabled analytics and network data envelopment analysis, 2020, Annals of Operations Research
  • Big data algorithms and applications in intelligent transportation system: A review and bibliometric analysis, 2020, International Journal of Production Economics
  • Innovation performance evaluation for high-tech companies using a dynamic network data envelopment analysis approach, 2020, European Journal of Operational Research
  • Random Forests and the measurement of super-efficiency in the context of Free Disposal Hull, 2022, European Journal of Operational Research
  • Modelling Efficiency in Regional Innovation Systems: A Two-Stage Data Envelopment Analysis Problem with Shared Outputs within Groups of Decision-Making Units, 2020, European Journal of Operational Research

Frequent co-authors working with Joe Zhu include:

  • Dariush Khezrimotlagh
  • Yu Shi
  • Vincent Charles
  • Wade D. Cook
  • Anyu Yu

Joe Zhu's work has been published in several key academic journals, notably:

  • European Journal of Operational Research
  • Journal of the Operational Research Society
  • Annals of Operations Research
  • International Journal of Production Economics
  • Journal of Air Transport Management

In addition to journal articles, Joe Zhu has authored books published by Springer Science+Business Media, including "Data Science and Productivity Analytics" (2020) and "Data-Enabled Analytics" (2021).

Best Publications

  • Data Envelopment Analysis

    Joe Zhu

  • Handbook on data envelopment analysis

    William W. Cooper;Lawrence M. Seiford;Joe Zhu

  • Modeling undesirable factors in efficiency evaluation

    Lawrence M. Seiford;Joe Zhu

  • Data Envelopment Analysis: History, Models, and Interpretations

    William W. Cooper;Lawrence M. Seiford;Joe Zhu

  • Profitability and Marketability of the Top 55 U.S. Commercial Banks

    Lawrence M. Seiford;Joe Zhu

  • Data envelopment analysis: Prior to choosing a model

    Wade D. Cook;Kaoru Tone;Joe Zhu

  • Additive efficiency decomposition in two-stage DEA

    Yao Chen;Wade D. Cook;Ning Li;Ning Li;Joe Zhu

  • Quantitative models for performance evaluation and benchmarking : data envelopment analysis with spreadsheets and DEA Excel Solver

    Joe Zhu

  • Measuring Information Technology's Indirect Impact on Firm Performance

    Yao Chen;Joe Zhu

  • Multi-factor performance measure model with an application to Fortune 500 companies

    Joe Zhu

  • DEA Models for Two-Stage Processes: Game Approach and Efficiency Decomposition

    Liang Liang;Wade D. Cook;Joe Zhu

  • Quantitative Models for Performance Evaluation and Benchmarking

    Joe Zhu

  • DEA models for supply chain efficiency evaluation

    Liang Liang;Feng Yang;Wade D. Cook;Joe Zhu

  • Measuring performance of two-stage network structures by DEA: A review and future perspective

    Wade D. Cook;Liang Liang;Joe Zhu

  • INFEASIBILITY OF SUPER EFFICIENCY DATA ENVELOPMENT ANALYSIS MODELS

    Lawrence M. Seiford;Joe Zhu

  • Returns to scale in different DEA models

    Rajiv D. Banker;William W. Cooper;Lawrence M. Seiford;Robert M. Thrall

  • The DEA Game Cross-Efficiency Model and Its Nash Equilibrium

    Liang Liang;Jie Wu;Wade D. Cook;Joe Zhu

  • Network DEA: Additive efficiency decomposition

    Wade D. Cook;Joe Zhu;Gongbing Bi;Feng Yang

  • Imprecise data envelopment analysis (IDEA): A review and improvement with an application

    Joe Zhu

  • Data envelopment analysis vs. principal component analysis: An illustrative study of economic performance of Chinese cities

    Joe Zhu

Frequent Co-Authors

Wade D. Cook
Wade D. Cook York University
Lawrence M. Seiford
Lawrence M. Seiford University of Michigan–Ann Arbor
Liang Liang
Liang Liang Hefei University of Technology
William W. Cooper
William W. Cooper The University of Texas at Austin
Kaoru Tone
Kaoru Tone National Graduate Institute for Policy Studies
Jie Wu
Jie Wu University of Science and Technology of China
Zhimin Huang
Zhimin Huang Adelphi University
Chiang Kao
Chiang Kao National Cheng Kung University
James F. Burgess
James F. Burgess Boston University
Rajiv D. Banker
Rajiv D. Banker Temple University

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