Y
Yongjun Li
Researcher at University of Science and Technology of China
Publications - 93
Citations - 2414
Yongjun Li is an academic researcher from University of Science and Technology of China. The author has contributed to research in topics: Data envelopment analysis & Selection (genetic algorithm). The author has an hindex of 23, co-authored 82 publications receiving 1733 citations. Previous affiliations of Yongjun Li include University of New England (Australia) & ETH Zurich.
Papers
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Efficiency assessment of Chinese logistics firms using DEA
TL;DR: Wang et al. as discussed by the authors proposed data envelopment analysis (DEA) to evaluate the operational efficiency of three categories, and a total of 36 listed logistics firms in China, which showed that the overall efficiency of Chinese logistic industry is relatively low.
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Assessing the genetic variation of tolerance to red needle cast in a Pinus radiata breeding population
Natalie Graham,Mari Suontama,Tony Pleasants,Yongjun Li,Martin K.-F. Bader,Martin K.-F. Bader,Jaroslav Klápště,Heidi S. Dungey,Nari Williams +8 more
TL;DR: Evidence that breeding for tolerance to P. pluvialis is possible is provided, although continued work into understanding and minimising causes for variance are required.
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An AIC-based approach to identify the most influential variables in eco-efficiency evaluation
TL;DR: The most influential undesirable output in determining provincial industrial systems' eco-efficiency of China is Sulphur dioxide emission and the proposed Akaike information criteria (AIC) rule is robust under different eco- efficiency measurements.
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Controlling Non-Grain Production Based on Cultivated Land Multifunction Assessment
TL;DR: Wang et al. as mentioned in this paper proposed a solution for the control and management of non-grain production based on cultivated land multifunctional assessment using GIS and AHP approach to assess production function via a comprehensive evaluation index.
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Fine identification of the supply–demand mismatches and matches of urban green space ecosystem services with a spatial filtering tool
Yue Lin,Min Zhang,Muye Gan,Lingyan Huang,Congmou Zhu,Qiming Zheng,Shixue You,Ziran Ye,Amir Reza Shahtahmassebi,Yongjun Li,Jinsong Deng,Jing Zhang,Bing Zhang,Ke Ming Wang +13 more
TL;DR: Wang et al. as mentioned in this paper proposed a framework for the fine-scale identification of mismatches and matches between ecosystem service (ES) supply and demand, which can support decision-making, thus promoting the integration of ES knowledge to achieve optimal UGS configurations in the future.