Evolution of journal preference based on topic focus
A case study in the technology innovation management field
Bibliographic Data
| ID | 21443595 |
|---|---|
| Authors | Xinhang Zhao (Beijing Institute of Technology), Xuefeng Wang (0000-0002-5759-6920, Beijing Institute of Technology, corresponding author), Yuqin Liu (0000-0003-2779-849X, Beijing Institute of Graphic Communication), Hongshu Chen (0000-0002-0893-1817, Beijing Institute of Technology), Rui Guo (0000-0002-0762-839X, University of Chinese Academy of Sciences) |
| Year | 2025 |
| Volume | 130 |
| Issue | 4 |
| Pages | 2137-2166 |
| Publication date | 2025-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Scientometrics (JOURNAL) |
| Journal identifiers | ISSN: 0138-9130 • E-ISSN: 1588-2861 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11192-025-05279-1 |
| OpenAlex | W4408820242 |
| Language | EN |
| References cited | 38 |
Bibliometrics · Data science · Field (mathematics) · Focus (optics) · Knowledge management · Library science · Preference · Scientometrics · Statistics · Computer Science · Digital Marketing and Social Media · Mathematics · Open Source Software Innovations · Technology Adoption and User Behaviour
Dynamic topic models
SciBert
Sentence-Bert
Identifying interdisciplinary topics and their evolution based on Bertopic
Measuring the evolving stage of temporal distribution of research topic keyword in scientific literature by research heat curve
Identification of topic evolution
Research topic flows in co-authorship networks
Evolution analysis of online topics based on ‘word-topic’ coupling network
Topic evolution, disruption and resilience in early Covid-19 research
Early detection of technology opportunity based on analogy design and phrase semantic representation
Itginsight–discovering and visualizing research fronts in the scientific literature
Mapping the dynamics of research networks in ecology and evolution using co-citation analysis (1975–2014)
Visualizing research trends and research theme evolution in E-learning field
Exploring funding patterns with word embedding-enhanced organization–topic networks
Mapping and comparing the technology evolution paths of scientific papers and patents
Semantic-enhanced topic evolution analysis
Research topics and trends of the hashtag recommendation domain
Identifying technology evolution pathways using topic variation detection based on patent data
| Citation velocity | historical |
|---|---|
| Highly cited | No |