Zhanfeng Li

Dr. Zhanfeng Li


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2021 in Neural Networks
Verified
Journal Article
Closed access
JZJiaming Zhang
Jiaming Zhang
ZLZhanfeng Li
Zhanfeng Li
XSXinyuan Song
Xinyuan Song
HNHanwen Ning
Hanwen Ning

19 October 2025 in Applied Sciences
Verified
Journal Article
Open access
PDF file
XKXi Kang
Xi Kang
ZLZhanfeng Li
Zhanfeng Li
Technological decoupling, geopolitical tensions, and carbon neutrality pressures have created systemic risks, making supply chain security a global concern. Digital-driven new quality productivity (NQP), as a key driver of supply chain upgrading, plays a crucial role in restructuring modern supply chain systems and enhancing resilience. Based on data from Chinese supply chain data from listed companies (2012–2023), this study integrates enterprise-level NQP and applies complex network methods and the Hadamard product model to analyze how NQP regulates supply chain resilience. The results show that NQP affects network resilience through three nonlinear coupling mechanisms: strengthening defense at fixed points, promoting recovery through chain reinforcement, and enhancing sustainability via network expansion. Its impact is stage-dependent—showing partial vulnerability during early technology diffusion but significantly improving overall resilience at maturity, with structural imbalance remaining a potential risk. This study provides theoretical and practical insights for optimizing supply chain structures and improving risk prevention and collaborative capabilities.