Exploring the applicability of large language models to citation context analysis
Bibliographic Data
| ID | 21442130 |
|---|---|
| Authors | Kai Nishikawa (0000-0001-5949-3610, Ministry of Education, Culture, Sports, Science and Technology, corresponding author), Hitoshi Koshiba (0000-0002-4502-3164, Ministry of Education, Culture, Sports, Science and Technology) |
| Year | 2024 |
| Volume | 129 |
| Issue | 11 |
| Pages | 6751-6777 |
| Publication date | 2024-11-01 |
| 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/s11192-024-05142-9 |
| OpenAlex | W4402775249 |
| Language | EN |
| Citations received | 7 |
| References cited | 35 |
Archaeology · Citation · Citation analysis · Context (archaeology) · Data science · Information retrieval · Library science · Linguistics · Biomedical Text Mining and Ontologies · Computer Science · History · Philosophy · scientometrics and bibliometrics research · Topic Modeling
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How do large language models and reference analysis differ in tracing disciplinary contributions to interdisciplinary fields
Cicq
Deepening citation understanding in scientific literature via LLM-powered context extraction
What do citation counts measure? A review of studies on citing behavior
What do citation counts measure? An updated review of studies on citations in scientific documents published between 2006 and 2018
How and why are citations between disciplines made? A citation context analysis focusing on natural sciences and social sciences and humanities
A decade of in-text citation analysis based on natural language processing and machine learning techniques
The classification of citing motivations
Mapping narratives of urban resilience in the global south
The anti-politics machine
Politics of Nature
| Citations per year | 7 |
|---|---|
| Citation span | 2025 - 2026 (2) |
| Highly cited | No |