The association between prior knowledge and the disruption of an article

L Sheng, D Lyu, X Ruan, H Shen, Y Cheng - Scientometrics, 2023 - Springer
Disruptive research that reveals an important innovation in science can reshape existing
pathways. This paper studies the relationship between the prior knowledge the research …

Impact of gender composition of academic teams on disruptive output

MZ Zhang, TR Wang, PH Lyu, QM Chen, ZX Li… - Journal of …, 2024 - Elsevier
Intergender collaboration is becoming increasingly common in academia. However, the
impact of team gender structures on innovation remains unknown. Using data from the …

New components and combinations: The perspective of the internal collaboration networks of scientific teams

W Chen, Y Yan - Journal of Informetrics, 2023 - Elsevier
New knowledge arises from the emergence of new knowledge elements and new
combinations of knowledge elements. In this study, the new knowledge generated through …

Influence of political tensions on scientific productivity, citation impact, and knowledge combinations

M Li, Y Wang - Scientometrics, 2024 - Springer
Over the past decades, international scientific collaborations have thrived as a vital avenue
for generating new knowledge and advancing scientific breakthroughs. However, recent …

Does embeddedness in strategic alliances matter for innovation efficiency? The moderating roles of government R&D subsidies and standardization

J Li, D Peng, Y Yu - Business Process Management Journal, 2024 - emerald.com
Purpose This paper investigates the impact of strategic alliance network centrality and
structural holes on firm innovation efficiency. In addition, the paper aims to explore the …

Cooperative R&D networks embeddedness and innovation resilience: the moderating role of environmental turbulence

J Li, D Peng, L Zheng, L Yuan, R Li - European Journal of Innovation …, 2024 - emerald.com
Purpose The relationship between cooperative R&D network embeddedness and firm
innovation resilience is understudied. This paper seeks to answer the questions of whether …

The effects of scientific collaboration network structures on impact and innovation: A perspective from project teams

Z Liu, C Wang, J Yang - Journal of Informetrics, 2025 - Elsevier
Scientific collaboration is critical in tackling complex research challenges, necessitating
optimized configurations of research teams. While existing research primarily examines the …

Investigating the causal effects of affiliation diversity on the disruption of papers in Artificial Intelligence

X Tang, X Li, M Yi - Information Processing & Management, 2024 - Elsevier
Growing multiple-affiliation collaboration in Artificial Intelligence (AI) can help solve complex
integrated problems, but will it trigger the disruption in AI? Scholars have discussed the …

Breaking down the relationship between disruption scores and citation counts

M Li, G Livan, S Righi - PloS one, 2024 - journals.plos.org
The emergence of the disruption score provides a new perspective that differs from
traditional metrics of citations and novelty in research evaluation. Motivated by current …

Exploring and evaluating the index for interdisciplinary breakthrough innovation detection

Z Wang, X Qiao, J Chen, L Li, H Zhang, J Ding… - The Electronic …, 2024 - emerald.com
Exploring and evaluating the index for interdisciplinary breakthrough innovation detection |
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