Machine learning and artificial intelligence for science, technology, innovation mapping and forecasting: Review, synthesis, and applications

Daniel Hain; Roman Jurowetzki; Sungjoo Lee; Yuan Zhou

doi:10.1007/s11192-022-04628-8

Machine learning and artificial intelligence for science, technology, innovation mapping and forecasting: Review, synthesis, and applications

Daniel Hain^*, Roman Jurowetzki, Sungjoo Lee, Yuan Zhou

^*Corresponding author for this work

Research output: Contribution to journal › Editorial › peer-review

2 Citations (Scopus)

Original language	English
Journal	Scientometrics
Volume	128
Issue number	3
Pages (from-to)	1465-1472
Number of pages	8
ISSN	0138-9130
DOIs	https://doi.org/10.1007/s11192-022-04628-8
Publication status	Published - Mar 2023

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@article{f9a2bd81f7414de48604760327ab9ecd,

title = "Machine learning and artificial intelligence for science, technology, innovation mapping and forecasting: Review, synthesis, and applications",

author = "Daniel Hain and Roman Jurowetzki and Sungjoo Lee and Yuan Zhou",

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language = "English",

volume = "128",

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TY - JOUR

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T2 - Review, synthesis, and applications

AU - Hain, Daniel

AU - Jurowetzki, Roman

AU - Lee, Sungjoo

AU - Zhou, Yuan

PY - 2023/3

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U2 - 10.1007/s11192-022-04628-8

DO - 10.1007/s11192-022-04628-8

M3 - Editorial

AN - SCOPUS:85146675291

SN - 0138-9130

VL - 128

SP - 1465

EP - 1472

JO - Scientometrics

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IS - 3

ER -

Machine learning and artificial intelligence for science, technology, innovation mapping and forecasting: Review, synthesis, and applications

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