[HTML][HTML] An analysis of the thematic evolution of ageing and healthcare expenditure using word embedding: a scoping review of policy implications

M Lopreite, M Misuraca, M Puliga - Socio-Economic Planning Sciences, 2023 - Elsevier
Thanks to the advances in public health and medical sciences, the increasing of elderly has
become a structural phenomenon in Europe and the rest of the World. This demographic …

Global research trends in food safety in agriculture and industry from 1991 to 2018: A data-driven analysis

K Hu, J Liu, B Li, L Liu, SMT Gharibzahedi, Y Su… - Trends in Food Science …, 2019 - Elsevier
Food safety (FS), as a topic important to human health and wellbeing, has attracted a great
deal of attention. With the large volume of publications in the area, it is hard to gain a …

A scientometric analysis of agricultural pollution by using bibliometric software VoSViewer and Histcite™

B Li, K Hu, V Lysenko, KY Khan, Y Wang… - … Science and Pollution …, 2022 - Springer
While modern agriculture brings more food to people, it causes environmental pollution as
well. Agricultural pollution has attracted extensive public attention. A lot of reviews on …

Analysis of the causes of inferiority feelings based on social media data with Word2Vec

Y Liu, C Xu, X Kuai, H Deng, K Wang, Q Luo - Scientific Reports, 2022 - nature.com
Feelings of inferiority are complex emotions that usually indicate perceived weakness and
helplessness. A lack of timely and effective interventions may bring serious consequences to …

Understanding the topic evolution of scientific literatures like an evolving city: Using Google Word2Vec model and spatial autocorrelation analysis

K Hu, Q Luo, K Qi, S Yang, J Mao, X Fu, J Zheng… - Information Processing …, 2019 - Elsevier
Topic evolution has been described by many approaches from a macro level to a detail
level, by extracting topic dynamics from text in literature and other media types. However …

Semantic-enhanced topic evolution analysis: a combination of the dynamic topic model and word2vec

Q Gao, X Huang, K Dong, Z Liang, J Wu - Scientometrics, 2022 - Springer
The combination of the topic model and the semantic method can help to discover the
semantic distributions of topics and the changing characteristics of the semantic …

Identification of topic evolution: network analytics with piecewise linear representation and word embedding

L Huang, X Chen, Y Zhang, C Wang, X Cao, J Liu - scientometrics, 2022 - Springer
Understanding the evolutionary relationships among scientific topics and learning the
evolutionary process of innovations is a crucial issue for strategic decision makers in …

Measuring the interdisciplinarity of Information and Library Science interactions using citation analysis and semantic analysis

L Huang, Y Cai, E Zhao, S Zhang, Y Shu, J Fan - Scientometrics, 2022 - Springer
Interdisciplinary interaction and integration have become major features of current science
and technology development. Hence, ways to measure the strength of the interdisciplinary …

[HTML][HTML] Co-author and co-cited reference network analysis for chlorophyll fluorescence research from 1991 to 2018

K Hu, G Govindjee, J Tan, Q Xia, Z Dai, Y Guo - Photosynthetica, 2020 - ps.ueb.cas.cz
Chlorophyll a fluorescence has been extensively used in studying photosynthesis and
overall physiology of plants, algae, and cyanobacteria. As a research hotspot, a large …

Value creation in emerging technologies through text mining: The case of blockchain

F Chiarello, P Belingheri, A Bonaccorsi… - … Analysis & Strategic …, 2021 - Taylor & Francis
As technology progresses, organisations must understand where to direct their value-
creating efforts to achieve or sustain competitive advantage. This is even more true in the …