In: Tree Physiology, 2018, vol. 38, no. 9, p. 1345-1355
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In: Environmental Science and Pollution Research, 2015, vol. 22, no. 16, p. 12490-12500
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In: Stochastic Environmental Research and Risk Assessment, 2015, vol. 29, no. 7, p. 1809-1822
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In: Frontiers in Genetics, 2020, vol. 11, p. -
Classification of histopathological images of cancer is challenging even for well- trained professionals, due to the fine-grained variability of the disease. Deep Convolutional Neural Networks (CNNs) showed great potential for classification of a number of the highly variable fine-grained objects. In this study, we introduce a Bilinear Convolutional Neural Networks (BCNNs) based deep learning...
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In: Journal of Informetrics, 2020, vol. 14, no. 3, p. 101038
Evaluating scholars’ achievements is an important problem in the science of science with applications in the evaluation of grant proposals and promotion applications. Since the number of scholars and the number of scholarly outputs grow exponentially with time, well-designed ranking metrics that have the potential to assist in these tasks are of prime importance. To rank scholars, it is...
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In: International Journal of Modern Physics C, 2020, vol. 31, no. 04, p. 2050056
Community division in complex networks has become one of the hot topics in the field of network science. Most of the methods developed based on network topology ignore the dynamic characteristics underlying the structure. By exploring the diffusion process in the network based on random walk, this paper sums up the general rule with temporal characteristics as a temporary local balancing...
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In: Journal of Informetrics, 2020, vol. 14, no. 1, p. 101005
Despite the increasing use of citation-based metrics for research evaluation purposes, we do not know yet which metrics best deliver on their promise to gauge the significance of a scientific paper or a patent. We assess 17 network-based metrics by their ability to identify milestone papers and patents in three large citation datasets. We find that traditional information-retrieval evaluation...
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In: Emerging Microbes & Infections, 2020, vol. 9, no. 1, p. 1011–1022
Klebsiella pneumoniae carbapenemase (KPC)-producing K. pneumoniae (KPC-KP) have disseminated worldwide and emerged as major threats to public health. Of epidemiological significance, the international pandemic of KPC-KP is primarily associated with CG258 isolates and bla KPC-IncF plasmids. CRISPR-Cas system is an adaptive immune system that can hinder gene expansion driven by horizontal gene ...
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In: Physics Reports, 2020, vol. 846, p. 1–66
Biological entities are involved in intricate and complex interactions, in which uncovering the biological information from the network concepts are of great significance. Benefiting from the advances of network science and high-throughput biomedical technologies, studying the biological systems from network biology has attracted much attention in recent years, and networks have long been...
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In: Physica A: Statistical Mechanics and its Applications, 2020, vol. 540, p. 123140
Interacting with each other, individuals in a population form various social network topologies. Models of evolutionary games on networks provide insight into how the collective behaviors of structured populations are influenced by individual decision making and network topologies. In a hierarchical society, many social resources are allocated according to certain social rankings, such as...
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