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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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DEA Models for Extended Two-Stage Network Structures
TL;DR: Two models are proposed to evaluate the performance of this type general two-stage network structures where all outputs of the first stage are the only inputs to the second stage, and a non-cooperative model, in which one of the stages is regarded as the leader and the other is the follower.
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Genotype by environment interactions in forest tree breeding: review of methodology and perspectives on research and application
TL;DR: The importance of level-of-expression interaction, relative to rank-change interaction, as being greater than in many past reports, especially for deployment decisions is discussed, and possible ways of exploiting G×E to maximise genetic gain in forest tree breeding are discussed.
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Allocating the fixed cost as a complement of other cost inputs: A DEA approach
TL;DR: This paper investigates the relationship between the allocated cost and the DEA efficiency score and develops a DEA-based approach to allocate the fixed cost among various DMUs.
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Allocating a fixed cost based on data envelopment analysis and satisfaction degree
TL;DR: In this paper, the authors used the Data Envelopment Analysis (DEA) technique to solve the problem of allocating a fixed cost across a set of comparable decision-making units (DMUs) in a fair way.
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Sustainability assessment of inland transportation in China: A triple bottom line-based network DEA approach
TL;DR: Li et al. as mentioned in this paper proposed a network data envelopment analysis (DEA) measure, which organizes the three components of the system into a parallel structure, allocates shared input across subsystems, and incorporates undesirable output.