Tracing science-technology-linkages
Tracing science-technology-linkages
This Zenodo page describes dataset linking EPO and USPTO in-text references to WoS publications. If you use the code or data, please cite the following paper: Abbasiantaeb, Z., Verberne, S., & Wang, J. (2025). Tracing science-technology-linkages: A machine learning pipeline for extracting and matching patent in-text references to scientific publications. Information Processing & Management, 62(6), 104264. https://doi.org/10.1016/j.ipm.2025.104264 Paper: https://doi.org/10.1016/j.ipm.2025.104264 Data: https://zenodo.org/record/15756322 (DOI: 10.5281/zenodo.15756322) Code: https://github.com/ZahraAbbasiantaeb/Patents.git Certain data included herein are derived from Clarivate™ (Web of Science™). © Clarivate 2025. All rights reserved.
- Leiden University Netherlands
- Leipzig University Germany
- University of Amsterdam Netherlands
Text mining, Science, Patent, Innovation, Natural Language Processing
Text mining, Science, Patent, Innovation, Natural Language Processing
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!