Qingxian Wang

Papers

Total Citations

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About

Qingxian Wang is a forward-thinking researcher at the intersection of operations research, sustainable logistics, and smart manufacturing, with a particular focus on the emerging paradigm of Industry 5.0. Their most-cited work, "Reconcile autonomous garbage truck and workload for multiple-period waste pickup schedule considering service frequency for industry 5.0" (2025), introduces a novel optimization framework that harmonizes autonomous vehicle routing with workload balancing for municipal waste collection. This contribution addresses a critical gap in smart city infrastructure by integrating service frequency constraints with multi-period scheduling, offering practical solutions for reducing operational costs and environmental impact. Though early in its citation trajectory, this paper has already garnered attention for its timely application of AI-driven logistics to real-world sustainability challenges. Wang’s research is distinguished by its interdisciplinary approach, bridging industrial engineering, computer science, and environmental policy. Their work is particularly valuable for students and practitioners seeking to understand how autonomous systems can be ethically and efficiently deployed in public services, marking Wang as a rising voice in the transition toward human-centric, resilient Industry 5.0 systems.