Robust minimum cost consensus models with various individual preference scenarios under unit adjustment cost uncertainty. - Shaojian Qu; Jinpeng Wei; Qiuhan Wang; Yuanming Li; Xiaowan Jin; Loubna Chaib (Inf. Fusion, 2023)

The Novel Data-Driven Robust Maximum Expert Mixed Integer Consensus Models Under Multirole's Opinions Uncertainty by Considering Noncooperators. - Jinpeng Wei; Shaojian Qu; Qiuhan Wang; Dongqing Luan; Xiaohui Zhao (IEEE Trans. Comput. Soc. Syst., 2023)

Consensus modeling for maximum expert with quadratic cost under various uncertain contexts: A data-driven robust approach. - Jinpeng Wei; Xuanhua Xu; Shaojian Qu; Qiuhan Wang (Eur. J. Oper. Res., 2025)

Dynamic interactive robust consensus reaching framework for maximum experts considering uncertain cost and adjustment strategy. - Jinpeng Wei; Xuanhua Xu; Qiuhan Wang; Xiaoxia Xu; Chengwei Zhao; Francisco Javier Cabrerizo (Expert Syst. Appl., 2025)

A dynamic interactive consensus deviation correction system driven by hybrid intelligence and its application to NEV policies. - Jinpeng Wei; Xuanhua Xu; Weiwei Zhang; Qiuhan Wang (Expert Syst. Appl., 2025)

Robust fresh front distribution centre location problem considering resilience under demand uncertainty. - Qiuhan Wang; Xujin Pu; Bo Du; Jinpeng Wei (Int. J. Prod. Res., 2025)

Online review data-driven robust maximum expert consensus system with dual uncertainty: An application in NEV policy formulation. - Jinpeng Wei; Xuanhua Xu; Ying Ji; Shaojian Qu; Qiuhan Wang; Weiwei Zhang; Francisco Javier Cabrerizo (Inf. Fusion, 2026)