Capturing knowledge trajectories of mobile learning research: A main path analysis

D Yu, Z Yan, X He - Education and Information Technologies, 2022 - Springer
With the development of mobile communication technology and the widespread
popularization of mobile devices, mobile learning (m-learning) as a new learning model has …

Combining machine learning and main path analysis to identify research front: from the perspective of science-technology linkage

D Yu, Z Yan - Scientometrics, 2022 - Springer
With the development of the era of big data, research data are accumulating, and various
research directions emerge endlessly. It is difficult for researchers to grasp the hotspots and …

Identifying the impact of patent family on the patent trajectory: A case of thin film solar cells technological trajectories

KK Lai, PC Bhatt, V Kumar, HC Chen, YH Chang… - Journal of …, 2021 - Elsevier
Incessant technology development and evolution has thrusted the need to recognize
promising technological opportunities for organizations. Since patents contain information …

How to detect the sleeping beauty papers and princes in technology considering indirect citations?

S Feng, H Li, Y Qi - Journal of Informetrics, 2023 - Elsevier
In science-technology research, papers and patents are used to represent science and
technology, respectively. Detecting sleeping beauty papers and their princes in technology …

An artificial intelligence-based framework for data-driven categorization of computer scientists: a case study of world's top 10 computing departments

N Ali, Z Halim, SF Hussain - Scientometrics, 2023 - Springer
The total number of published articles and the resulting citations are generally
acknowledged as suitable criteria of the scientist's evaluation. However, it is challenging to …

Extracting the evolutionary backbone of scientific domains: The semantic main path network analysis approach based on citation context analysis

X Jiang, J Liu - Journal of the association for information …, 2023 - Wiley Online Library
Main path analysis is a popular method for extracting the scientific backbone from the
citation network of a research domain. Existing approaches ignored the semantic …

Citation bias in measuring knowledge flow: Evidence from the web of science at the discipline level

H Lyu, Y Bu, Z Zhao, J Zhang, J Li - Journal of Informetrics, 2022 - Elsevier
Abstract Knowledge flow between scientific disciplines has commonly been measured
based on citation data. Previous studies using citing relationships have mostly considered …

Evaluating scientific impact of publications: Combining citation polarity and purpose

H Huang, D Zhu, X Wang - Scientometrics, 2022 - Springer
Citation counts are commonly used to evaluate the scientific impact of a publication on the
general premise that more citations probably mean more endorsements. However, two …

Main path analysis considering citation structure and content: Case studies in different domains

D Yu, Z Yan - Journal of Informetrics, 2023 - Elsevier
Main path analysis (MPA) is an effective method widely accepted in science and technology
for extracting knowledge diffusion paths. Traditional citation analysis assumes that all …

The local structure of citation networks uncovers expert-selected milestone papers

J Wang, S Xu, MS Mariani, L Lü - Journal of Informetrics, 2021 - Elsevier
Recent works aimed to understand how to identify “milestone” scientific papers of great
significance from large-scale citation networks. To this end, previous results found that …