Exploring science-technology linkages: A deep learning-empowered solution

X Chen, P Ye, L Huang, C Wang, Y Cai, L Deng… - Information Processing …, 2023 - Elsevier
In-depth exploration of the knowledge linkages between science and technology (S&T) is an
essential prerequisite for accurately understanding the S&T innovation laws, promoting the …

Interdisciplinarity of information science: an evolutionary perspective of theory application

C Zhang, F Wang, Y Huang, L Chang - Journal of Documentation, 2024 - emerald.com
Purpose This paper aims to reveal the interdisciplinarity of information science (IS) from the
perspective of the evolution of theory application. Design/methodology/approach Select …

Transdisciplinary fine-grained citation content analysis: A multi-task learning perspective for citation aspect and sentiment classification

L Kong, W Zhang, H Hu, Z Liang, Y Han, D Wang… - Journal of …, 2024 - Elsevier
The diffusion of citation knowledge is an important measure of transdisciplinary scientific
impact and the diversity of transdisciplinary citation content (sentences). Moreover …

Assessment of knowledge integration in student learning of galvanic cell: An interdisciplinary approach connecting physics and chemistry

D Ye, J Qian, W Xu, Y Lu, S Wang, L **ao, L Bao - Physical Review Physics …, 2024 - APS
The galvanic cell is a typical interdisciplinary topic, which is primarily taught in chemistry but
its underpinning is closely related to physics. Student learning in galvanic cell has been …

An editorial of “AI+ informetrics”: multi-disciplinary interactions in the era of big data

Y Zhang, C Zhang, P Mayr, A Suominen - Scientometrics, 2022 - Springer
Conclusions In the AI+ Informetrics workshop and this special issue, we noted the
enthusiasm from the global community, demonstrating their strong willingness and interests …

Understanding of evolutionary features in the library and information science with interdisciplinary network analysis

Y Liu, X Xu, S Li - Scientometrics, 2025 - Springer
The new round of industrial revolution has put forward new development direction and
requirements for Library and Information Science (LIS) research. Compared with other …

Examining knowledge entities and its relationships based on citation sentences using a multi-anchor bipartite network

D Nam, J Kim, J Yoon, C Song, S Kim, M Song - Scientometrics, 2023 - Springer
This paper proposes a novel entitymetrics approach by exclusively focusing on citation
sentences. Since citation sentences offer authors' research interest, knowledge entities that …

Research on interdisciplinarity of five-metrics in China based on Chinese Citation Data under the background of open science

H Zhao, X Wang - Journal of Information Science, 2024 - journals.sagepub.com
The theories, methods and techniques of bibliometrics, scientometrics, informetrics,
webometrics and knowledgometrics together constitute Five-Metrics. Five-Metrics is one of …

Text-based paper-level classification procedure for non-traditional sciences using a machine learning approach

D Moctezuma, C López-Vázquez, L Lopes… - … and Information Systems, 2024 - Springer
Science as a whole is organized into broad fields, and as a consequence, research,
resources, students, etc., are also classified, assigned, or invited following a similar …

Uses of artificial intelligence and machine learning in systematic reviews of education research

H Karlstrøm - 2024 - nifu.brage.unit.no
The speed and volume of scientific publishing is accelerating, both in terms of number of
authors and in terms of the number of publications by each author. At the same time, the …