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[HTML][HTML] Nestedness in complex networks: observation, emergence, and implications
The observed architecture of ecological and socio-economic networks differssignificantly
from that of random networks. From a network science standpoint, non-random structural …
from that of random networks. From a network science standpoint, non-random structural …
Lithium compounds for thermochemical energy storage: A state-of-the-art review and future trends
The world is currently going through significant changes in technology, and alongside these
advances, new developments of strategies to store and supply energy are crucial for the …
advances, new developments of strategies to store and supply energy are crucial for the …
Combining deep neural network and bibliometric indicator for emerging research topic prediction
Predicting emerging research topics is important to researchers and policymakers. In this
study, we propose a two-step solution to the problem of emerging topic prediction. The first …
study, we propose a two-step solution to the problem of emerging topic prediction. The first …
Technology convergence assessment: Case of blockchain within the IR 4.0 platform
Technological evolutions are leveraged by organizations to assess and formulate their
strategic goals for achieving market dominance. Disruptive technologies have challenged …
strategic goals for achieving market dominance. Disruptive technologies have challenged …
Learning on knowledge graph dynamics provides an early warning of impactful research
JW Weis, JM Jacobson - Nature Biotechnology, 2021 - nature.com
The scientific ecosystem relies on citation-based metrics that provide only imperfect,
inconsistent and easily manipulated measures of research quality. Here we describe …
inconsistent and easily manipulated measures of research quality. Here we describe …
Early detection of valuable patents using a deep learning model: Case of semiconductor industry
An essential concept in technology management is the early detection of valuable patents.
Traditional classification approaches have been utilized to identify effective patents based …
Traditional classification approaches have been utilized to identify effective patents based …
Unveiling technological innovation in hospitality and tourism through patent data: Development perspective and competition landsca**
This study fills a gap in the literature by focusing on hospitality and tourism technology
development (supply-side perspective) rather than technological adoption (demand-side …
development (supply-side perspective) rather than technological adoption (demand-side …
Technological potential analysis and vacant technology forecasting in the graphene field based on the patent data mining
C Wang, H Geng, R Sun, H Song - Resources Policy, 2022 - Elsevier
Graphene is considered the most promising and revolutionary frontier material in the 21st
century, thus both developed and emerging countries have accelerated the advanced …
century, thus both developed and emerging countries have accelerated the advanced …
Multilayer patent citation networks: A comprehensive analytical framework for studying explicit technological relationships
The use of patent citation networks as research tools is becoming increasingly
commonplace in the field of innovation studies. However, these networks rarely consider the …
commonplace in the field of innovation studies. However, these networks rarely consider the …
[HTML][HTML] Dynamic patterns of the disruptive and consolidating knowledge flows in Nobel-winning scientific breakthroughs
AJ Yang, S Deng - Quantitative Science Studies, 2024 - direct.mit.edu
Scientific breakthroughs possess the transformative potential to reshape research
trajectories and scientific paradigms. However, there is limited systematic evidence on how …
trajectories and scientific paradigms. However, there is limited systematic evidence on how …