Deep learning for journal recommendation system of research papers
Bibliographic Data
| ID | 21442002 |
|---|---|
| Authors | Esra Gündoğan (0000-0001-7331-3348, Fırat University, corresponding author), Mehmet Kaya (0000-0003-2995-8282, Fırat University, corresponding author), Ali Daud (0000-0002-8284-6354, Abu Dhabi University, corresponding author) |
| Year | 2023 |
| Volume | 128 |
| Issue | 1 |
| Pages | 461-481 |
| Publication date | 2023-01-01 |
| 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/s11192-022-04535-y |
| OpenAlex | W4304147679 |
| Language | EN |
| Citations received | 1 |
| References cited | 44 |
Data science · Field (mathematics) · Information retrieval · Library science · Political science · Publishing · Recommender system · Scope (computer science) · Similarity (geometry) · World Wide Web · Artificial Intelligence · Computer Science · Recommender Systems and Techniques · Topic Modeling · Web Data Mining and Analysis
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |