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Cited by 331

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

Renewable energy technology innovation, industrial structure upgrading and green development from the perspective of China's provinces

Su, Yi, Fan, Qi-ming·2022·Technological Forecasting and Social Change
DOI 10.1016/j.techfore.2022.121727
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Registry

Crossref · 10.1016/j.techfore.2022.121727

Cites

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Metadata

Authors
Su, Y., & Fan, Q.-M.
Venue
Technological Forecasting and Social Change
Publisher
Elsevier BV
Published
2022-07
Volume
180
Pages
121727
ISSN
0040-1625 (ISSN-L)
DOI
10.1016/j.techfore.2022.121727
OpenAlex
W4225158827
Cited by
331
References
24
FWCI
58.66
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Renewable energy technology innovation, industrial structure upgrading and green development from the perspective of China's provinces. https://app.cochat.ai/papers/10.1016/j.techfore.2022.121727
The paper
Su, Y., & Fan, Q.-M. (2022). Renewable energy technology innovation, industrial structure upgrading and green development from the perspective of China's provinces. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2022.121727

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.