Joe Zhu

According to our database, Joe Zhu authored at least 120 papers between 1996 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Bank financial sustainability evaluation: Data envelopment analysis with random forest and Shapley additive explanations.

Yu Shi, Vincent Charles, Joe Zhu

Eur. J. Oper. Res., 2025

2024

A general computational framework and a hybrid algorithm for large-scale data envelopment analysis.

Junfei Chu, Yuting Rui, Dariush Khezrimotlagh, Joe Zhu

Eur. J. Oper. Res., 2024

2023

The role of unobserved units in two-stage network data envelopment analysis.

Dariush Khezrimotlagh, Joe Zhu

J. Oper. Res. Soc., May, 2023

Estimating Effectiveness of Identifying Human Trafficking via Data Envelopment Analysis.

Geri L. Dimas, Malak El Khalkhali, Alex Bender, Kayse Lee Maass, Renata A. Konrad, Jeffrey S. Blom, Joe Zhu, Andrew C. Trapp

INFORMS J. Appl. Anal., 2023

Random Forests and the measurement of super-efficiency in the context of Free Disposal Hull.

Miriam Esteve, Juan Aparicio, Jesús Javier Rodríguez-Sala, Joe Zhu

Eur. J. Oper. Res., 2023

2022

Information technology and performance: Integrating data envelopment analysis and configurational approach.

Jiawen Liu, Yeming Gong, Joe Zhu, Ryad Titah

J. Oper. Res. Soc., 2022

Multivariate returns to scale production frontiers.

Dariush Khezrimotlagh, Joe Zhu

J. Oper. Res. Soc., 2022

DEA under big data: data enabled analytics and network data envelopment analysis.

Joe Zhu

Ann. Oper. Res., 2022

2021

Data science and productivity: A bibliometric review of data science applications and approaches in productivity evaluations.

Yu Shi, Joe Zhu, Vincent Charles

J. Oper. Res. Soc., 2021

Efficiency measurement for hierarchical situations.

Wanghong Li, Wade D. Cook, Zhepeng Li, Joe Zhu

J. Oper. Res. Soc., 2021

Special Issue Data Science for Better Productivity.

Vincent Charles, Juan Aparicio, Joe Zhu

J. Oper. Res. Soc., 2021

Innovation performance evaluation for high-tech companies using a dynamic network data envelopment analysis approach.

Anyu Yu, Yu Shi, Jianxin You, Joe Zhu

Eur. J. Oper. Res., 2021

Production scale-based two-stage network data envelopment analysis.

Junfei Chu, Joe Zhu

Eur. J. Oper. Res., 2021

Using Operational and Stock Analytics to Measure Airline Performance: A Network DEA Approach.

Qian Zhang, Dimitrios Koutmos, Kun Chen, Joe Zhu

Decis. Sci., 2021

An Alternative Approach to Dealing with the Composition Approach for Series Network Production Processes.

Biresh K. Sahoo, Hilda Saleh, Morteza Shafiee, Kaoru Tone, Joe Zhu

Asia Pac. J. Oper. Res., 2021

Shared and unsplittable performance links in network DEA.

Yu Shi, Anyu Yu, Huong Ngo Higgins, Joe Zhu

Ann. Oper. Res., 2021

Number of performance measures versus number of decision making units in DEA.

Dariush Khezrimotlagh, Wade D. Cook, Joe Zhu

Ann. Oper. Res., 2021

Piezoelectric-Based Respiratory Monitoring: Towards Self-Powered Implantables for the Airways.

Luis Lopez Ruiz, Vivian Lin, Lucy Fitzgerald, Joe Zhu, Larry Borish, Daniel Quinn, John C. Lach

Proceedings of the 17th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2021

2020

Efficiency measurement with products and partially desirable co-products.

Wade D. Cook, Wanghong Li, Zhepeng Li, Liang Liang, Joe Zhu

J. Oper. Res. Soc., 2020

Measuring efficiency in DEA in the presence of common inputs.

Sonia Valeria Avilés-Sacoto, Wade D. Cook, David Güemes-Castorena, Joe Zhu

J. Oper. Res. Soc., 2020

A nonparametric framework to detect outliers in estimating production frontiers.

Dariush Khezrimotlagh, Wade D. Cook, Joe Zhu

Eur. J. Oper. Res., 2020

A survey of data envelopment analysis applications in the insurance industry 1993-2018.

Sepideh Kaffash, Roza Azizi, Ying Huang, Joe Zhu

Eur. J. Oper. Res., 2020

A conic relaxation model for searching for the global optimum of network data envelopment analysis.

Kun Chen, Wade D. Cook, Joe Zhu

Eur. J. Oper. Res., 2020

Balancing Fairness and Efficiency: Performance Evaluation with Disadvantaged Units in Non-homogeneous Environments.

Chialin Chen, Wade D. Cook, Raha Imanirad, Joe Zhu

Eur. J. Oper. Res., 2020

Modelling Efficiency in Regional Innovation Systems: A Two-Stage Data Envelopment Analysis Problem with Shared Outputs within Groups of Decision-Making Units.

Sonia Valeria Avilés-Sacoto, Wade D. Cook, David Güemes-Castorena, Joe Zhu

Eur. J. Oper. Res., 2020

2019

Scale efficiency in two-stage network DEA.

Kun Chen, Joe Zhu

J. Oper. Res. Soc., 2019

Data envelopment analysis and big data.

Dariush Khezrimotlagh, Joe Zhu, Wade D. Cook, Mehdi Toloo

Eur. J. Oper. Res., 2019

When to increase firms' sustainable operations for efficiency? A data envelopment analysis in the retailing industry.

Yeming Gong, Jiawen Liu, Joe Zhu

Eur. J. Oper. Res., 2019

Computational tractability of chance constrained data envelopment analysis.

Kun Chen, Joe Zhu

Eur. J. Oper. Res., 2019

The curse of dimensionality of decision-making units: A simple approach to increase the discriminatory power of data envelopment analysis.

Vincent Charles, Juan Aparicio, Joe Zhu

Eur. J. Oper. Res., 2019

How the Great Recession affects performance: a case of Pennsylvania hospitals using DEA.

Ya Chen, Justin Wang, Joe Zhu, H. David Sherman, Shin-Yi Chou

Ann. Oper. Res., 2019

2018

Data envelopment analysis application in sustainability: The origins, development and future directions.

Haibo Zhou, Yi Yang, Yao Chen, Joe Zhu

Eur. J. Oper. Res., 2018

Trends in operational research approaches for sustainability.

Ernesto Del R. Santibanez-Gonzalez, Joe Zhu, Simone Zanoni, Nelson Maculan

Eur. J. Oper. Res., 2018

Identification of congestion in data envelopment analysis under the occurrence of multiple projections: A reliable method capable of dealing with negative data.

Mahmood Mehdiloozad, Joe Zhu, Biresh K. Sahoo

Eur. J. Oper. Res., 2018

Evaluating the Efficiencies of Academic Research Groups: A Problem of Shared Outputs.

Sonia Valeria Avilés-Sacoto, Wade D. Cook, David Güemes-Castorena, Francisco Benita, Hector Ceballos, Joe Zhu

Asia Pac. J. Oper. Res., 2018

DEA as a tool for auditing: application to Chinese manufacturing industry with parallel network structures.

Yande Gong, Joe Zhu, Ya Chen, Wade D. Cook

Ann. Oper. Res., 2018

2017

Preface.

Sungmook Lim, Joe Zhu

INFOR Inf. Syst. Oper. Res., 2017

Non-cooperative two-stage network DEA model: Linear vs. parametric linear.

Chuanyin Guo, Joe Zhu

Eur. J. Oper. Res., 2017

Decomposition weights and overall efficiency in two-stage additive network DEA.

Chuanyin Guo, Roohollah Abbasi Shureshjani, Ali Asghar Foroughi, Joe Zhu

Eur. J. Oper. Res., 2017

Goal congruence analysis in multi-Division Organizations with shared resources based on data envelopment analysis.

Jing-Jing Ding, Wei Dong, Liang Liang, Joe Zhu

Eur. J. Oper. Res., 2017

Within-group common benchmarking using DEA.

Wade D. Cook, José L. Ruiz, Inmaculada Sirvent, Joe Zhu

Eur. J. Oper. Res., 2017

Second order cone programming approach to two-stage network data envelopment analysis.

Kun Chen, Joe Zhu

Eur. J. Oper. Res., 2017

Efficiency Measurement of Multistage Processes: Context Dependent Numbers of Stages.

Wade D. Cook, Chuanyin Guo, Wanghong Li, Zhepeng Li, Liang Liang, Joe Zhu

Asia Pac. J. Oper. Res., 2017

Investigation of the Impact of the Massachusetts Health Care Reform on Hospital Costs and Quality of Care.

Fabienne Miller, Justin Wang, Joe Zhu, Ya Chen, Jason Hockenberry

Ann. Oper. Res., 2017

Modeling efficiency in the presence of multiple partial input to output processes.

Wanghong Li, Liang Liang, Sonia Valeria Avilés-Sacoto, Raha Imanirad, Wade D. Cook, Joe Zhu

Ann. Oper. Res., 2017

Units invariant DEA when weight restrictions are present: ecological performance of US electricity industry.

Wade D. Cook, Juan Du, Joe Zhu

Ann. Oper. Res., 2017

Bounded and discrete data and Likert scales in data envelopment analysis: application to regional energy efficiency in China.

Ya Chen, Wade D. Cook, Juan Du, Hanhui Hu, Joe Zhu

Ann. Oper. Res., 2017

2016

Best cooperative partner selection and input resource reallocation using DEA.

Jie Wu, Qingyuan Zhu, Wade D. Cook, Joe Zhu

J. Oper. Res. Soc., 2016

A DEA based composite measure of quality and its associated data uncertainty interval for health care provider profiling and pay-for-performance.

Michael Shwartz, James F. Burgess Jr., Joe Zhu

Eur. J. Oper. Res., 2016

A note on two-stage network DEA model: Frontier projection and duality.

Sungmook Lim, Joe Zhu

Eur. J. Oper. Res., 2016

DEA models for non-homogeneous DMUs with different input configurations.

Wanghong Li, Liang Liang, Wade D. Cook, Joe Zhu

Eur. J. Oper. Res., 2016

Data Envelopment Analysis with Output-Bounded Data.

Juan Du, Jiazhen Huo, Joe Zhu

Asia Pac. J. Oper. Res., 2016

2015

DEA cross-efficiency evaluation under variable returns to scale.

Sungmook Lim, Joe Zhu

J. Oper. Res. Soc., 2015

Two-stage network DEA: when intermediate measures can be treated as outputs from the second stage.

Sonia Valeria Avilés-Sacoto, Wade D. Cook, Raha Imanirad, Joe Zhu

J. Oper. Res. Soc., 2015

Partial input to output impacts in DEA: The case of DMU-specific impacts.

Raha Imanirad, Wade D. Cook, Sonia Valeria Avilés-Sacoto, Joe Zhu

Eur. J. Oper. Res., 2015

DEA Models for Parallel Systems: Game-Theoretic Approaches.

Juan Du, Joe Zhu, Wade D. Cook, Jiazhen Huo

Asia Pac. J. Oper. Res., 2015

2014

DEA Cobb-Douglas frontier and cross-efficiency.

Wade D. Cook, Joe Zhu

J. Oper. Res. Soc., 2014

Decomposing technical efficiency and scale elasticity in two-stage network DEA.

Biresh K. Sahoo, Joe Zhu, Kaoru Tone, Bernhard M. Klemen

Eur. J. Oper. Res., 2014

Use of DEA cross-efficiency evaluation in portfolio selection: An application to Korean stock market.

Sungmook Lim, Kwang Wuk Oh, Joe Zhu

Eur. J. Oper. Res., 2014

Fixed cost and resource allocation based on DEA cross-efficiency.

Juan Du, Wade D. Cook, Liang Liang, Joe Zhu

Eur. J. Oper. Res., 2014

Incorporating health outcomes in Pennsylvania hospital efficiency: an additive super-efficiency DEA approach.

Juan Du, Justin Wang, Yao Chen, Shin-Yi Chou, Joe Zhu

Ann. Oper. Res., 2014

2013

Data Envelopment Analysis with Nonhomogeneous DMUs.

Wade D. Cook, Julie Harrison, Raha Imanirad, Paul Rouse, Joe Zhu

Oper. Res., 2013

Corrigendum to: "Incorporating performance measures with target levels in data envelopment analysis" [European Journal of Operational Research 230 (2013) 634-642].

Sungmook Lim, Joe Zhu

Eur. J. Oper. Res., 2013

Incorporating performance measures with target levels in data envelopment analysis.

Sungmook Lim, Joe Zhu

Eur. J. Oper. Res., 2013

Integrated data envelopment analysis: Global vs. local optimum.

Sungmook Lim, Joe Zhu

Eur. J. Oper. Res., 2013

Network DEA pitfalls: Divisional efficiency and frontier projection under general network structures.

Yao Chen, Wade D. Cook, Chiang Kao, Joe Zhu

Eur. J. Oper. Res., 2013

2012

Super-efficiency infeasibility and zero data in DEA.

Hsuan-Shih Lee, Joe Zhu

Eur. J. Oper. Res., 2012

Additive super-efficiency in integer-valued data envelopment analysis.

Juan Du, Chien-Ming Chen, Yao Chen, Wade D. Cook, Joe Zhu

Eur. J. Oper. Res., 2012

Relative efficiency measurement: The problem of a missing output in a subset of decision making units.

Wade D. Cook, Julie Harrison, Paul Rouse, Joe Zhu

Eur. J. Oper. Res., 2012

A new methodology for evaluating sustainable product design performance with two-stage network data envelopment analysis.

Chialin Chen, Joe Zhu, Jiun-Yu Yu, Hamid Noori

Eur. J. Oper. Res., 2012

Undesirable factors in integer-valued DEA: Evaluating the operational efficiencies of city bus systems considering safety records.

Chien-Ming Chen, Juan Du, Jiazhen Huo, Joe Zhu

Decis. Support Syst., 2012

2011

Output-specific input-assurance regions in DEA.

Wade D. Cook, Joe Zhu

J. Oper. Res. Soc., 2011

Multiple Variable Proportionality in Data Envelopment Analysis.

Wade D. Cook, Joe Zhu

Oper. Res., 2011

Efficient Resource Allocation via Efficiency Bootstraps: An Application to R&D Project Budgeting.

Chien-Ming Chen, Joe Zhu

Oper. Res., 2011

Super-efficiency DEA in the presence of infeasibility.

Hsuan-Shih Lee, Ching-Wu Chu, Joe Zhu

Eur. J. Oper. Res., 2011

A bargaining game model for measuring performance of two-stage network structures.

Juan Du, Liang Liang, Yao Chen, Wade D. Cook, Joe Zhu

Eur. J. Oper. Res., 2011

2010

A slacks-based measure of super-efficiency in data envelopment analysis: A comment.

Juan Du, Liang Liang, Joe Zhu

Eur. J. Oper. Res., 2010

Network DEA: Additive efficiency decomposition.

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

Eur. J. Oper. Res., 2010

DEA model with shared resources and efficiency decomposition.

Yao Chen, Juan Du, H. David Sherman, Joe Zhu

Eur. J. Oper. Res., 2010

Deriving the DEA frontier for two-stage processes.

Yao Chen, Wade D. Cook, Joe Zhu

Eur. J. Oper. Res., 2010

Context-dependent performance standards in DEA.

Wade D. Cook, Joe Zhu

Ann. Oper. Res., 2010

2009

Nonlinear inputs and diminishing marginal value in DEA.

Wade D. Cook, Feng Yang, Joe Zhu

J. Oper. Res. Soc., 2009

A modified super-efficiency DEA model for infeasibility.

Wade D. Cook, Liang Liang, Y. Zha, Joe Zhu

J. Oper. Res. Soc., 2009

Piecewise linear output measures in DEA (third revision).

Wade D. Cook, Joe Zhu

Eur. J. Oper. Res., 2009

Equivalence in two-stage DEA approaches.

Yao Chen, Liang Liang, Joe Zhu

Eur. J. Oper. Res., 2009

Additive efficiency decomposition in two-stage DEA.

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

Eur. J. Oper. Res., 2009

2008

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

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

Oper. Res., 2008

CAR-DEA: Context-Dependent Assurance Regions in DEA.

Wade D. Cook, Joe Zhu

Oper. Res., 2008

2007

Erratum to "Super-efficiency and DEA sensitivity analysis" [European Journal of Operational Research 129 (2) (2001) 443-455].

Joe Zhu

Eur. J. Oper. Res., 2007

Classifying inputs and outputs in data envelopment analysis.

Wade D. Cook, Joe Zhu

Eur. J. Oper. Res., 2007

Within-group common weights in DEA: An analysis of power plant efficiency.

Wade D. Cook, Joe Zhu

Eur. J. Oper. Res., 2007

2006

Incorporating Multiprocess Performance Standards into the DEA Framework.

Wade D. Cook, Joe Zhu

Oper. Res., 2006

Rank order data in DEA: A general framework.

Wade D. Cook, Joe Zhu

Eur. J. Oper. Res., 2006

Evaluation of information technology investment: a data envelopment analysis approach.

Yao Chen, Liang Liang, Feng Yang, Joe Zhu

Comput. Oper. Res., 2006

Benchmarking with quality-adjusted DEA (Q-DEA) to seek lower-cost high-quality service: Evidence from a U.S.bank application.

H. David Sherman, Joe Zhu

Ann. Oper. Res., 2006

DEA models for supply chain efficiency evaluation.

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

Ann. Oper. Res., 2006

2005

A Special Issue on "data Envelopment Analysis: Theories and Applications" in Honor of William W. Cooper.

Zhimin Huang, Susan X. Li, Joe Zhu

Int. J. Inf. Technol. Decis. Mak., 2005

Context-dependent Dea with an Application to Tokyo Public Libraries.

Yao Chen, Hiroshi Morita, Joe Zhu

Int. J. Inf. Technol. Decis. Mak., 2005

A response to comments on modeling undesirable factors in efficiency evaluation.

Lawrence M. Seiford, Joe Zhu

Eur. J. Oper. Res., 2005

Hedge fund performance appraisal using data envelopment analysis.

Greg N. Gregoriou, Komlan Sedzro, Joe Zhu

Eur. J. Oper. Res., 2005

Allocation of shared costs among decision making units: a DEA approach.

Wade D. Cook, Joe Zhu

Comput. Oper. Res., 2005

2004

Measuring Information Technology's Indirect Impact on Firm Performance.

Yao Chen, Joe Zhu

Inf. Technol. Manag., 2004

Imprecise DEA via Standard Linear DEA Models with a Revisit to a Korean Mobile Telecommunication Company.

Joe Zhu

Oper. Res., 2004

A buyer-seller game model for selection and negotiation of purchasing bids: Extensions and new models.

Joe Zhu

Eur. J. Oper. Res., 2004

Returns to scale in different DEA models.

Rajiv D. Banker, William W. Cooper, Lawrence M. Seiford, Robert M. Thrall, Joe Zhu

Eur. J. Oper. Res., 2004

2003

Efficiency evaluation with strong ordinal input and output measures.

Joe Zhu

Eur. J. Oper. Res., 2003

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

Joe Zhu

Eur. J. Oper. Res., 2003

DEA Models for Identifying Critical Performance Measures.

Yao Chen, Joe Zhu

Ann. Oper. Res., 2003

2002

Modeling undesirable factors in efficiency evaluation.

Lawrence M. Seiford, Joe Zhu

Eur. J. Oper. Res., 2002

2001

Super-efficiency and DEA sensitivity analysis.

Joe Zhu

Eur. J. Oper. Res., 2001

2000

Setting scale efficient targets in DEA via returns to scale estimation method.

Joe Zhu

J. Oper. Res. Soc., 2000

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

Joe Zhu

Eur. J. Oper. Res., 2000

Further discussion on linear production functions and DEA.

Joe Zhu

Eur. J. Oper. Res., 2000

1998

Sensitivity analysis of DEA models for simultaneous changes in all the data.

Lawrence M. Seiford, Joe Zhu

J. Oper. Res. Soc., 1998

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

Joe Zhu

Eur. J. Oper. Res., 1998

On alternative optimal solutions in the estimation of returns to scale in DEA.

Lawrence M. Seiford, Joe Zhu

Eur. J. Oper. Res., 1998

Stability regions for maintaining efficiency in data envelopment analysis.

Lawrence M. Seiford, Joe Zhu

Eur. J. Oper. Res., 1998

On piecewise loglinear frontiers and log efficiency measures.

Lawrence M. Seiford, Joe Zhu

Comput. Oper. Res., 1998

An acceptance system decision rule with data envelopment analysis.

Lawrence M. Seiford, Joe Zhu

Comput. Oper. Res., 1998

1996

DEA/AR analysis of the 1988-1989 performance of the Nanjing textiles corporation.

Joe Zhu

Ann. Oper. Res., 1996