Mikta maritime research gaps
Data-driven machine learning approach for sustainable collaboration
Datos Bibliográficos
| ID | 12296334 |
|---|---|
| Autores | Yong-Jae Lee (0000-0002-7664-8001, Korea University, autor de correspondencia) |
| Año | 2025 |
| Volumen | 128 |
| Páginas | 104375-104375 |
| Fecha de publicación | 2025-08-04 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Journal of Transport Geography (JOURNAL) |
| Identificadores de la revista | ISSN: 0966-6923 • E-ISSN: 1873-1236 |
| Editorial | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.jtrangeo.2025.104375 |
| OpenAlex | W4412975737 |
| Idioma | EN |
| Referencias citadas | 88 |
Data science · Transport engineering · Big Data and Business Intelligence · Computer Science · Engineering · Technology Assessment and Management
Past, present and future of Industry 4.0 - a systematic literature review and research agenda proposal
Assessing research trends related to Sustainable Development Goals
The science of team science
Social Enterprises as Hybrid Organizations
Networking and innovation
A bibliometric-qualitative literature review of green finance gap and future research directions
A two-stage deep learning-based system for patent citation recommendation
PatentNet
Topic-based technology mapping using patent data analysis
A text-embedding-based approach to measuring patent-to-patent technological similarity
Prevention of antibiotic resistance – an epidemiological scoping review to identify research categories and knowledge gaps
Collaborative Engagement of Local and Traditional Knowledge and Science in Marine Environments
Three Gaps in Opening Science
Mexico, Indonesia, South Korea, Turkey, and Australia (Mikta)
Obstacles to data access for research related to climate and water
The Steel and Shipbuilding Industries of South Korea
Bridging funding gaps for climate and sustainable development
| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |