Knowledge-driven intelligent quality problem-solving system in the automotive industry. - Zhaoguang Xu; Yanzhong Dang; Peter Munro (Adv. Eng. Informatics, 2018)

Typical short-term remedy knowledge mining for product quality problem-solving based on bipartite graph clustering. - Zhaoguang Xu; Yanzhong Dang; Zhongzhao Zhang; Jingfeng Chen (Comput. Ind., 2020)

Automated digital cause-and-effect diagrams to assist causal analysis in problem-solving: a data-driven approach. - Zhaoguang Xu; Yanzhong Dang (Int. J. Prod. Res., 2020)

A data-driven approach for constructing the component-failure mode matrix for FMEA. - Zhaoguang Xu; Yanzhong Dang; Peter Munro; Yuhang Wang (J. Intell. Manuf., 2020)

Solution knowledge mining and recommendation for quality problem-solving. - Zhaoguang Xu; Yanzhong Dang (Comput. Ind. Eng., 2021)

Construction of Double-Layer Knowledge Coordination Network for Product Quality Problem Solving. - Yubin Wang; Zhaoguang Xu; Yanzhong Dang (IEEE Access, 2022)

Potential buyer identification and purchase likelihood quantification by mining user-generated content on social media. - Zhaoguang Xu; Yanzhong Dang; Qianwen Wang (Expert Syst. Appl., 2022)

Data-driven causal knowledge graph construction for root cause analysis in quality problem solving. - Zhaoguang Xu; Yanzhong Dang (Int. J. Prod. Res., 2023)

Quality Improvement Decisions in Service Supply Chains with Collaborative and Free-Riding Behaviors. - Wenfang Shang; Zaixin Han; Zhaoguang Xu; Tao Li (Syst., 2024)

From features to benefits: a data-driven approach for the economic design of adaptive quality control. - Zhaoguang Xu; Stefan Minner (Int. J. Prod. Res., 2025)