[HTML][HTML] Nestedness in complex networks: observation, emergence, and implications

MS Mariani, ZM Ren, J Bascompte, CJ Tessone - Physics Reports, 2019 - Elsevier
The observed architecture of ecological and socio-economic networks differssignificantly
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

PE Marín, Y Milian, S Ushak, LF Cabeza… - … and Sustainable Energy …, 2021 - Elsevier
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 …

Combining deep neural network and bibliometric indicator for emerging research topic prediction

Z Liang, J Mao, K Lu, Z Ba, G Li - Information Processing & Management, 2021 - Elsevier
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 …

Technology convergence assessment: Case of blockchain within the IR 4.0 platform

PC Bhatt, V Kumar, TC Lu, T Daim - Technology in Society, 2021 - Elsevier
Technological evolutions are leveraged by organizations to assess and formulate their
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 …

Early detection of valuable patents using a deep learning model: Case of semiconductor industry

P Chung, SY Sohn - Technological Forecasting and Social Change, 2020 - Elsevier
An essential concept in technology management is the early detection of valuable patents.
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**

H Kim, J Yoon, JL Nicolau - International Journal of Hospitality Management, 2023 - Elsevier
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 …

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 …

Multilayer patent citation networks: A comprehensive analytical framework for studying explicit technological relationships

K Higham, M Contisciani, C De Bacco - Technological forecasting and …, 2022 - Elsevier
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 …

[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 …