Publications
Peer-reviewed journal articles.
Generalized Ordinal Priority Approach with Small-Sample Incomplete Preference Learning for Multi-Attribute Decision-Making
Renlong Wang
Annals of Operations Research (SCI JCR-Q1, IF: 4.5)
Clarifies how ordinal rankings translate into decision weights and extends this mapping with entropy-based utility reconstruction to support robust choices under limited and noisy preference information.
Oral presentation: Oral presentation at 2024 POMS Summer School in China; Excellent Paper Award.
A Robust Relative Efficiency Evaluation Method under Uncertainty in Decision-Makers' Preferences (in Chinese)
Xiong Liu, Fengjing Zhu, Renlong Wang, Baoguang Xu, Xueyan Shao, Mingang Gao†
Chinese Journal of Management Science (中国管理科学) (CSSCI)
Integrates ordinal preference analysis and budgeted robustness into DEA to produce more interpretable and stable efficiency assessments.
Prospect-Theoretic Risk Assessment of Emergency Response Performance Under Procedural Dependency and Organizational Collaboration: A Dynamic Metanetwork-Based Framework
Renlong Wang, Jingyao Yue, Mingang Gao†, Anh Ngoc Quang Huynh, Jintao Lu
Risk Analysis (SSCI JCR-Q1, IF: 3.3)
Connects operational response workflows with behavioral utility modeling to diagnose performance bottlenecks in emergency management, illustrated through the Manchester Arena attack case.
Oral presentation: Oral presentation at 2024 International Symposium on Emergency Management; Best Paper First Prize.
Robust Consensus Ordinal Priority Approach for Improvisational Emergency Supplier Selection under Expert Consensus Ambiguity
Hezheng Mao, Renlong Wang†
Scientific Reports (SCI JCR-Q1, IF: 3.9)
Derives expert influence from ranking agreement and embeds it in a tractable worst-case weighting scheme to support transparent and reliable supplier choices during time-critical disaster procurement.
Nuclear Energy Technology R&D Portfolio Selection under Scenario Uncertainty: Distributionally Robust Ordinal Priority Approach
Shutian Cui, Fengjing Zhu, Renlong Wang†
Energy (SCI JCR-Q1, IF: 9.4)
Develops a ranking-based decision framework that balances uncertain future energy pathways and expert judgments to identify robust technology investment priorities for China's 2030 strategy.
Mastering the Complexity: An Enhanced Cellular Automata-Based Framework for Simulating Resilience of Hospital Power-Water-Firefighting-Space Nexus System
Renlong Wang, Lingzhi Li†, Wenjie Lin, Endong Wang, Jingfeng Yuan
Simulation Modelling Practice and Theory (SCI JCR-Q1, IF: 4.6)
Develops a scalable rule-based simulation approach to reveal how cascading failures, resource redistribution, and pandemic-driven demand surges shape the recovery of interdependent hospital lifeline services.
Multi-Attribute Decision-Making Approach for Improvisational Emergency Supplier Selection: Partial Ordinal Priority Approach
Renlong Wang, Rui Shen, Hong Chi, Xueyan Shao, Mingang Gao†
Expert Systems with Applications (SCI JCR-Q1, IF: 7.5)
Transforms simple expert rankings into dominance structures that reveal Pareto-optimal and backup supplier choices, enabling faster and more transparent disaster procurement decisions under uncertainty.
Oral presentation: Oral presentation at 2023 POMS Summer School in China; Excellent Paper Award.
Policy-Driven Analysis of Carbon Emission Efficiency under Uncertainty and its Application in Chinese Industry: Hybrid Delta-Slacks-Based Model and Ordinal Priority Approach
Shutian Cui, Renlong Wang†, Xiaoyan Li, Xiuguang Bai†
Energy (SCI JCR-Q1, IF: 9.4)
Links government priority settings with robust DEA-based benchmarking to classify Chinese provinces and guide tailored industrial low-carbon transition strategies.
A Hybrid MADM Method Considering Expert Consensus for Emergency Recovery Plan Selection: Dynamic Grey Relation Analysis and Partial Ordinal Priority Approach
Renlong Wang
Information Sciences (SCI JCR-Q1, IF: 6.8)
Transforms stakeholder ranking judgments into transparent dominance maps that identify robust recovery strategies and backup options for post-disaster decision-making under uncertainty.
Partial Ordinal Priority Approach Considering Pareto Optimal Identification for Multi-Attribute Decision-Making (in Chinese)
Renlong Wang, Rui Shen, Hong Chi, Mingang Gao†
Chinese Journal of Management Science (中国管理科学) (CSSCI)
Transforms simple ranking judgments into adversarial Hasse diagrams that jointly weight experts, criteria, and alternatives, enabling stable decision support when precise data are limited.
Oral presentation: Oral presentation at 2023 (25th) Annual Conference on Management Science in China.
A Novel Cost Analysis Method for Accelerator Driven Advanced Nuclear Energy System (ADANES) Considering Uncertainty Throughout the R&D Cycle
Zhen Li, Mingliang Qi, Renlong Wang, Mingang Gao†, Xuesong Yan, Yangyang Yang
Applied Energy (SCI JCR-Q1, IF: 10.1)
Quantifies how technology-maturity delays and technical uncertainty drive budget overruns in advanced nuclear development, offering simulation-based guidance for managing project continuation risks.
Systematic Scenario Modeling for Priority Assessment of Sustainable Development Goals in China under Interaction and Uncertainty
Renlong Wang, Shutian Cui, Mingang Gao†
Environment, Development and Sustainability (SCI JCR-Q2, IF: 4.7)
Proposes a cellular automata simulation framework, which reveals resilience bottlenecks in hospital utility-service interdependencies.
Evaluating the Effectiveness of the COVID-19 Emergency Outbreak Prevention and Control Based on CIA-ISM
Renlong Wang, Endong Wang†, Lingzhi Li†, Wei Li
International Journal of Environmental Research and Public Health (SCI JCR-Q1, IF: 4.6)
Maps epidemic response actions into causal scenario pathways to identify key leverage points, such as public education, medical reserves, and collaborative governance, for reducing outbreak impacts.
Safety Risk Assessment and Control of Prefabricated Building Construction Based on BN-MNA Model (in Chinese)
Yao Ding, Renlong Wang, Lingzhi Li†, Jingfeng Yuan, Ling Shen
Journal of Civil Engineering and Management (土木工程与管理学报) (PKU Core)
Integrates Bayesian reasoning with meta-network analysis to trace hazard propagation across trades, responsibilities, stages, and workspaces, enabling targeted prevention and diagnostic accountability.
Safety Performance Evaluation of Prefabricated Building Construction from the Perspective of Three-Dimensional Space (in Chinese)
Yilun Zhou, Renlong Wang, Jianjun She†
China Production Safety Science and Technology (中国安全生产科学技术) (PKU Core)
Combines ANP and grey clustering to translate physical, organizational, and digital construction factors into actionable diagnostics for identifying weak safety-management links in industrialized building projects.
Award: CNKI Highly Cited Paper
Drafts
Working papers and manuscripts currently under review.
Assessing Port Logistics Data Governance Capacity through a Governance Mechanism Perspective: a Collaboration-Based Meta-Network Modeling Approach
Renlong Wang†, Endong Wang
Engineering Management Journal
Develops a collaboration-based meta-network approach to assess port logistics data governance capacity and optimize stakeholder data configurations for collaborative improvement.
Consensus Resilience Planning for Multi-Agency Restoration of Interdependent Infrastructure Systems: A Unified Framework and Resilience-Informed Heuristic-Exact Decomposition Algorithm
Renlong Wang
Reliability Engineering & System Safety
Develops a consensus-based planning framework that coordinates shared repair resources among autonomous operators through limited interface feedback, achieving near-centralized recovery performance while revealing dependency-driven bottlenecks.
From Resilience Curves to Cross-System Benchmarking: A Non-Parametric Relative Measurement Framework for Interdependent Infrastructure
Renlong Wang
Reliability Engineering & System Safety
Develops a benchmark-relative measurement framework that transforms disruption–recovery trajectories into peer-referenced diagnostics for comparing recovery strategies, assessing downside performance, and identifying feature-specific resilience gaps.
Preference Robust Ordinal Priority Approach with Preference Elicitation under Incomplete Information for Robust Multi-Attribute Decision-Making
Renlong Wang
Information Sciences
Oral presentation: 2024 Student Academic Forum of the University of Chinese Academy of Sciences; Excellent Paper Award.
Develops a two-stage optimization scheme that elicits worst-case utilities and hedges against ranking ambiguity, enabling reliable supplier selection from limited preference data.
A Comment on the Ordinal Priority Approach in Multi-Attribute Decision-Making: A Centralized DEA-Based Preference Voting Interpretation
Renlong Wang
Journal of the Operational Research Society
Reveals the hidden rank-based logic behind ordinal decision weights, deriving closed-form expert and candidate weight structures that improve interpretability and auditability in group decision-making.