Predicting citation impact of research papers using GPT and other text embeddings (2025)
- Authors:
- USP affiliated authors: OLIVEIRA JUNIOR, OSVALDO NOVAIS DE - IFSC ; AMANCIO, DIEGO RAPHAEL - ICMC ; VITAL JUNIOR, ADILSON - ICMC
- Unidades: IFSC; ICMC
- DOI: 10.1016/j.physa.2025.130789
- Subjects: REDES COMPLEXAS; PROCESSAMENTO DE LINGUAGEM NATURAL; CIENTOMETRIA
- Keywords: Complex networks; Text analysis; GPT; Embeddings
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
VITAL JUNIOR, Adilson et al. Predicting citation impact of research papers using GPT and other text embeddings. Physica A, v. 674, p. 130789-1-130789-13 + supplementary data, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2025.130789. Acesso em: 04 ago. 2025. -
APA
Vital Junior, A., Silva, F. N., Oliveira Junior, O. N. de, & Amancio, D. R. (2025). Predicting citation impact of research papers using GPT and other text embeddings. Physica A, 674, 130789-1-130789-13 + supplementary data. doi:10.1016/j.physa.2025.130789 -
NLM
Vital Junior A, Silva FN, Oliveira Junior ON de, Amancio DR. Predicting citation impact of research papers using GPT and other text embeddings [Internet]. Physica A. 2025 ; 674 130789-1-130789-13 + supplementary data.[citado 2025 ago. 04 ] Available from: https://doi.org/10.1016/j.physa.2025.130789 -
Vancouver
Vital Junior A, Silva FN, Oliveira Junior ON de, Amancio DR. Predicting citation impact of research papers using GPT and other text embeddings [Internet]. Physica A. 2025 ; 674 130789-1-130789-13 + supplementary data.[citado 2025 ago. 04 ] Available from: https://doi.org/10.1016/j.physa.2025.130789 - A comparative analysis of local similarity metrics and machine learning approaches: application to link prediction in author citation networks
- Comparing random walks in graph embedding and link prediction
- Text authorship identified using the dynamics of word co-occurrence networks
- On the role of words in the network structure of texts: application to authorship attribution
- Authorship identification using network dynamics
- Classificação de textos com redes complexas
- Authorship attribution via network motifs identification
- Labelled network subgraphs reveal stylistic subtleties in written texts
- Authorship recognition via fluctuation analysis of network topology and word intermittency
- Extractive multi document summarization using dynamical measurements of complex networks
Informações sobre o DOI: 10.1016/j.physa.2025.130789 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
3257551.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
