Zobrazeno 1 - 10
of 142
pro vyhledávání: '"Shen Zhesi"'
Publikováno v:
Journal of Data and Information Science, Vol 9, Iss 3, Pp 1-3 (2024)
Externí odkaz:
https://doaj.org/article/950c019a29c249bfbc7f574e780c2732
Publikováno v:
Journal of Data and Information Science, Vol 9, Iss 2, Pp 41-55 (2024)
The notable increase in retraction papers has attracted considerable attention from diverse stakeholders. Various sources are now offering information related to research integrity, including concerns voiced on social media, disclosed lists of paper
Externí odkaz:
https://doaj.org/article/1aed4ce26bc74d19aa00c2d8dd715ba2
Publikováno v:
Journal of Data and Information Science, Vol 9, Iss 1, Pp 11-36 (2024)
Accurately assigning the document type of review articles in citation index databases like Web of Science(WoS) and Scopus is important. This study aims to investigate the document type assignation of review articles in Web of Science, Scopus and Publ
Externí odkaz:
https://doaj.org/article/6b79da94861144beafa58d1b5d3915e6
Publikováno v:
Journal of Data and Information Science, Vol 8, Iss 4, Pp 8-9 (2023)
Externí odkaz:
https://doaj.org/article/2c818f0d096d4ebeba171afa5f2f3c57
Monitoring and fostering research aligned with the Sustainable Development Goals (SDGs) is crucial for formulating evidence-based policies, identifying best practices, and promoting global collaboration. The key step is developing a labeling system t
Externí odkaz:
http://arxiv.org/abs/2408.17084
With the growing importance of sustainable development goals (SDGs), various labeling systems have emerged for effective monitoring and evaluation. This study assesses six labeling systems across 1.85 million documents at both paper level and topic l
Externí odkaz:
http://arxiv.org/abs/2408.13455
Publikováno v:
Journal of Data and Information Science, Vol 7, Iss 4, Pp 1-2 (2022)
Externí odkaz:
https://doaj.org/article/08c13f71c07c4477aaae89da3b44ef2a
Publikováno v:
Journal of Data and Information Science, Vol 8, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/877144367105401ebf66e679ce88f963
Publikováno v:
Journal of Data and Information Science, Vol 7, Iss 2, Pp 4-5 (2022)
Externí odkaz:
https://doaj.org/article/d3836f5e47e948b8b28a8a0e0d518005
Publikováno v:
Journal of Data and Information Science, Vol 4, Iss 2, Pp 79-92 (2019)
To investigate the effectiveness of using node2vec on journal citation networks to represent journals as vectors for tasks such as clustering, science mapping, and journal diversity measure.
Externí odkaz:
https://doaj.org/article/45800c396fd241a398100bbc4318b74d