An explainable artificial-intelligence-based approach to investigating factors that influence the citation of papers
Taehyun Ha
| Year of publication: |
2022
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|---|---|
| Authors: | Ha, Taehyun |
| Published in: |
Technological forecasting & social change : an international journal. - Amsterdam : Elsevier, ISSN 0040-1625, ZDB-ID 280700-2. - Vol. 184.2022, p. 1-9
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| Subject: | Bibliometrics | Citations | Machine learning | Big data | SHAP | Bibliometrie | Künstliche Intelligenz | Artificial intelligence | Big Data |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.techfore.2022.121974 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013541860