DEA/AR analysis of the 1988-1989 performance of the Nanjing textiles corporation. - Joe Zhu (Ann. Oper. Res., 1996)

An acceptance system decision rule with data envelopment analysis. - Lawrence M. Seiford; Joe Zhu (Comput. Oper. Res., 1998)

On piecewise loglinear frontiers and log efficiency measures. - Lawrence M. Seiford; Joe Zhu (Comput. Oper. Res., 1998)

Stability regions for maintaining efficiency in data envelopment analysis. - Lawrence M. Seiford; 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)

Data envelopment analysis vs. principal component analysis: An illustrative study of economic performance of Chinese cities. - Joe Zhu (Eur. J. Oper. Res., 1998)

Sensitivity analysis of DEA models for simultaneous changes in all the data. - Lawrence M. Seiford; Joe Zhu (J. Oper. Res. Soc., 1998)

Further discussion on linear production functions and DEA. - Joe Zhu (Eur. J. Oper. Res., 2000)

Multi-factor performance measure model with an application to Fortune 500 companies. - Joe Zhu (Eur. J. Oper. Res., 2000)

Setting scale efficient targets in DEA via returns to scale estimation method. - Joe Zhu (J. Oper. Res. Soc., 2000)

Super-efficiency and DEA sensitivity analysis. - Joe Zhu (Eur. J. Oper. Res., 2001)

Modeling undesirable factors in efficiency evaluation. - Lawrence M. Seiford; Joe Zhu (Eur. J. Oper. Res., 2002)

DEA Models for Identifying Critical Performance Measures. - Yao Chen 001; Joe Zhu (Ann. Oper. Res., 2003)

Imprecise data envelopment analysis (IDEA): A review and improvement with an application. - Joe Zhu (Eur. J. Oper. Res., 2003)

Efficiency evaluation with strong ordinal input and output measures. - Joe Zhu (Eur. J. Oper. Res., 2003)

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)

A buyer-seller game model for selection and negotiation of purchasing bids: Extensions and new models. - Joe Zhu (Eur. J. Oper. Res., 2004)

Imprecise DEA via Standard Linear DEA Models with a Revisit to a Korean Mobile Telecommunication Company. - Joe Zhu (Oper. Res., 2004)

Measuring Information Technology's Indirect Impact on Firm Performance. - Yao Chen 001; Joe Zhu (Inf. Technol. Manag., 2004)

Allocation of shared costs among decision making units: a DEA approach. - Wade D. Cook; Joe Zhu (Comput. Oper. Res., 2005)

Hedge fund performance appraisal using data envelopment analysis. - Greg N. Gregoriou; Komlan Sedzro; Joe Zhu (Eur. J. Oper. Res., 2005)

A response to comments on modeling undesirable factors in efficiency evaluation. - Lawrence M. Seiford; Joe Zhu (Eur. J. Oper. Res., 2005)

Context-dependent Dea with an Application to Tokyo Public Libraries. - Yao Chen 001; Hiroshi Morita; Joe Zhu (Int. J. Inf. Technol. Decis. Mak., 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)

DEA models for supply chain efficiency evaluation. - Liang Liang 001; Feng Yang 005; Wade D. Cook; Joe Zhu (Ann. 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)

Evaluation of information technology investment: a data envelopment analysis approach. - Yao Chen 001; Liang Liang 001; Feng Yang 005; Joe Zhu (Comput. Oper. Res., 2006)

Rank order data in DEA: A general framework. - Wade D. Cook; Joe Zhu (Eur. J. Oper. Res., 2006)

Incorporating Multiprocess Performance Standards into the DEA Framework. - Wade D. Cook; Joe Zhu (Oper. Res., 2006)

Within-group common weights in DEA: An analysis of power plant efficiency. - Wade D. Cook; 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)

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)

CAR-DEA: Context-Dependent Assurance Regions in DEA. - Wade D. Cook; Joe Zhu (Oper. Res., 2008)

The DEA Game Cross-Efficiency Model and Its Nash Equilibrium. - Liang Liang 001; Jie Wu 004; Wade D. Cook; Joe Zhu (Oper. Res., 2008)

Additive efficiency decomposition in two-stage DEA. - Yao Chen 001; Wade D. Cook; Ning Li; Joe Zhu (Eur. J. Oper. Res., 2009)

Equivalence in two-stage DEA approaches. - Yao Chen 001; Liang Liang 001; Joe Zhu (Eur. J. Oper. Res., 2009)

Piecewise linear output measures in DEA (third revision). - Wade D. Cook; Joe Zhu (Eur. J. Oper. Res., 2009)

A modified super-efficiency DEA model for infeasibility. - Wade D. Cook; Liang Liang 001; Y. Zha; Joe Zhu (J. Oper. Res. Soc., 2009)

Nonlinear inputs and diminishing marginal value in DEA. - Wade D. Cook; Feng Yang 005; Joe Zhu (J. Oper. Res. Soc., 2009)

Context-dependent performance standards in DEA. - Wade D. Cook; Joe Zhu (Ann. Oper. Res., 2010)

Deriving the DEA frontier for two-stage processes. - Yao Chen 001; Wade D. Cook; Joe Zhu (Eur. J. Oper. Res., 2010)

DEA model with shared resources and efficiency decomposition. - Yao Chen 001; Juan Du 001; H. David Sherman; Joe Zhu (Eur. J. Oper. Res., 2010)

Network DEA: Additive efficiency decomposition. - Wade D. Cook; Joe Zhu; Gongbing Bi; Feng Yang 005 (Eur. J. Oper. Res., 2010)

A slacks-based measure of super-efficiency in data envelopment analysis: A comment. - Juan Du 001; Liang Liang 001; Joe Zhu (Eur. J. Oper. Res., 2010)

A bargaining game model for measuring performance of two-stage network structures. - Juan Du 001; Liang Liang 001; Yao Chen 001; Wade D. Cook; Joe Zhu (Eur. J. Oper. Res., 2011)

Super-efficiency DEA in the presence of infeasibility. - Hsuan-Shih Lee; Ching-Wu Chu; Joe Zhu (Eur. J. Oper. Res., 2011)

Efficient Resource Allocation via Efficiency Bootstraps: An Application to R&D Project Budgeting. - Chien-Ming Chen 002; Joe Zhu (Oper. Res., 2011)

Multiple Variable Proportionality in Data Envelopment Analysis. - Wade D. Cook; Joe Zhu (Oper. Res., 2011)

Output-specific input-assurance regions in DEA. - Wade D. Cook; Joe Zhu (J. Oper. Res. Soc., 2011)

Undesirable factors in integer-valued DEA: Evaluating the operational efficiencies of city bus systems considering safety records. - Chien-Ming Chen 002; Juan Du 001; Jiazhen Huo; Joe Zhu (Decis. Support Syst., 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)

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)

Additive super-efficiency in integer-valued data envelopment analysis. - Juan Du 001; Chien-Ming Chen 002; Yao Chen 001; Wade D. Cook; Joe Zhu (Eur. J. Oper. Res., 2012)

Super-efficiency infeasibility and zero data in DEA. - Hsuan-Shih Lee; Joe Zhu (Eur. J. Oper. Res., 2012)

Network DEA pitfalls: Divisional efficiency and frontier projection under general network structures. - Yao Chen 001; Wade D. Cook; Chiang Kao; Joe Zhu (Eur. J. Oper. Res., 2013)

Integrated data envelopment analysis: Global vs. local optimum. - 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)

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)

Data Envelopment Analysis with Nonhomogeneous DMUs. - Wade D. Cook; Julie Harrison; Raha Imanirad; Paul Rouse; Joe Zhu (Oper. Res., 2013)

Incorporating health outcomes in Pennsylvania hospital efficiency: an additive super-efficiency DEA approach. - Juan Du 001; Justin Wang; Yao Chen 001; Shin-Yi Chou; Joe Zhu (Ann. Oper. Res., 2014)

Fixed cost and resource allocation based on DEA cross-efficiency. - Juan Du 001; Wade D. Cook; Liang Liang 001; Joe Zhu (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)

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)

DEA Cobb-Douglas frontier and cross-efficiency. - Wade D. Cook; Joe Zhu (J. Oper. Res. Soc., 2014)

DEA Models for Parallel Systems: Game-Theoretic Approaches. - Juan Du 001; Joe Zhu; Wade D. Cook; Jiazhen Huo (Asia Pac. J. Oper. Res., 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)

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)

DEA cross-efficiency evaluation under variable returns to scale. - Sungmook Lim; Joe Zhu (J. Oper. Res. Soc., 2015)

Data Envelopment Analysis with Output-Bounded Data. - Juan Du 001; Jiazhen Huo; Joe Zhu (Asia Pac. J. Oper. Res., 2016)

DEA models for non-homogeneous DMUs with different input configurations. - Wanghong Li; Liang Liang 001; Wade D. Cook; 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)

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)

Best cooperative partner selection and input resource reallocation using DEA. - Jie Wu 004; Qingyuan Zhu; Wade D. Cook; Joe Zhu (J. Oper. Res. Soc., 2016)

Bounded and discrete data and Likert scales in data envelopment analysis: application to regional energy efficiency in China. - Ya Chen 001; Wade D. Cook; Juan Du 001; Hanhui Hu; 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 001; Joe Zhu (Ann. Oper. Res., 2017)

Modeling efficiency in the presence of multiple partial input to output processes. - Wanghong Li; Liang Liang 001; Sonia Valeria Avilés-Sacoto; Raha Imanirad; Wade D. Cook; Joe Zhu (Ann. 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 001; Jason Hockenberry (Ann. Oper. Res., 2017)

Efficiency Measurement of Multistage Processes: Context Dependent Numbers of Stages. - Wade D. Cook; Chuanyin Guo; Wanghong Li; Zhepeng Li; Liang Liang 001; Joe Zhu (Asia Pac. 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)

Within-group common benchmarking using DEA. - Wade D. Cook; José L. Ruiz 002; Inmaculada Sirvent; 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 001; 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)

Non-cooperative two-stage network DEA model: Linear vs. parametric linear. - Chuanyin Guo; Joe Zhu (Eur. J. Oper. Res., 2017)

Preface. - Sungmook Lim; Joe Zhu (INFOR Inf. Syst. Oper. Res., 2017)

DEA as a tool for auditing: application to Chinese manufacturing industry with parallel network structures. - Yande Gong; Joe Zhu; Ya Chen 001; Wade D. Cook (Ann. 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)

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)

Trends in operational research approaches for sustainability. - Ernesto Del R. Santibanez-Gonzalez; Joe Zhu; Simone Zanoni; Nelson Maculan (Eur. J. Oper. Res., 2018)

Data envelopment analysis application in sustainability: The origins, development and future directions. - Haibo Zhou; Yi Yang; Yao Chen 001; Joe Zhu (Eur. J. Oper. Res., 2018)

How the Great Recession affects performance: a case of Pennsylvania hospitals using DEA. - Ya Chen 001; Justin Wang; Joe Zhu; H. David Sherman; Shin-Yi Chou (Ann. 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)

Computational tractability of chance constrained data envelopment analysis. - Kun Chen; Joe Zhu (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)

Data envelopment analysis and big data. - Dariush Khezrimotlagh; Joe Zhu; Wade D. Cook; Mehdi Toloo (Eur. J. Oper. Res., 2019)

Scale efficiency in two-stage network DEA. - Kun Chen; Joe Zhu (J. Oper. Res. Soc., 2019)

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)

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)

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)

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 nonparametric framework to detect outliers in estimating production frontiers. - Dariush Khezrimotlagh; Wade D. Cook; Joe Zhu (Eur. J. Oper. Res., 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)

Efficiency measurement with products and partially desirable co-products. - Wade D. Cook; Wanghong Li; Zhepeng Li; Liang Liang 001; Joe Zhu (J. Oper. Res. Soc., 2020)

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 (BSN, 2021)

Number of performance measures versus number of decision making units in DEA. - Dariush Khezrimotlagh; Wade D. Cook; Joe Zhu (Ann. Oper. Res., 2021)

Shared and unsplittable performance links in network DEA. - Yu Shi; Anyu Yu; Huong Ngo Higgins; Joe Zhu (Ann. Oper. Res., 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)

Using Operational and Stock Analytics to Measure Airline Performance: A Network DEA Approach. - Qian Zhang 027; Dimitrios Koutmos; Kun Chen; Joe Zhu (Decis. Sci., 2021)

Production scale-based two-stage network data envelopment analysis. - Junfei Chu; Joe Zhu (Eur. J. Oper. Res., 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)

Special Issue Data Science for Better Productivity. - Vincent Charles; Juan Aparicio; Joe Zhu (J. Oper. Res. Soc., 2021)

Efficiency measurement for hierarchical situations. - Wanghong Li; Wade D. Cook; Zhepeng Li; Joe Zhu (J. Oper. Res. Soc., 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)

DEA under big data: data enabled analytics and network data envelopment analysis. - Joe Zhu (Ann. Oper. Res., 2022)

Multivariate returns to scale production frontiers. - Dariush Khezrimotlagh; Joe Zhu (J. Oper. Res. Soc., 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)

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)

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)

The role of unobserved units in two-stage network data envelopment analysis. - Dariush Khezrimotlagh; Joe Zhu (J. Oper. Res. Soc., 2023)

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)

Implementing no free disposability in data envelopment analysis. - Dariush Khezrimotlagh; Joe Zhu (Eur. J. Oper. Res., 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)