Open Access
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volume 36
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issue 10
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pages 102230
Knowledge-embedded multi-layer collaborative adaptive fusion network: Addressing challenges in foggy conditions and complex imaging
Publication type: Journal Article
Publication date: 2024-12-01
scimago Q1
wos Q1
SJR: 1.357
CiteScore: 15.8
Impact factor: 6.1
ISSN: 13191578, 22131248
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Journal of King Saud University - Computer and Information Sciences
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Total citations:
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Citations from 2024:
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GOST
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Chen Zhu et al. Knowledge-embedded multi-layer collaborative adaptive fusion network: Addressing challenges in foggy conditions and complex imaging // Journal of King Saud University - Computer and Information Sciences. 2024. Vol. 36. No. 10. p. 102230.
GOST all authors (up to 50)
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Chen Zhu, Li Fan, Diao Y., Zhao W., Fan P. Knowledge-embedded multi-layer collaborative adaptive fusion network: Addressing challenges in foggy conditions and complex imaging // Journal of King Saud University - Computer and Information Sciences. 2024. Vol. 36. No. 10. p. 102230.
Cite this
RIS
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TY - JOUR
DO - 10.1016/j.jksuci.2024.102230
UR - https://linkinghub.elsevier.com/retrieve/pii/S1319157824003197
TI - Knowledge-embedded multi-layer collaborative adaptive fusion network: Addressing challenges in foggy conditions and complex imaging
T2 - Journal of King Saud University - Computer and Information Sciences
AU - Chen Zhu
AU - Li Fan
AU - Diao, Yueqin
AU - Zhao, Wanlong
AU - Fan, Puyin
PY - 2024
DA - 2024/12/01
PB - Springer Nature
SP - 102230
IS - 10
VL - 36
SN - 1319-1578
SN - 2213-1248
ER -
Cite this
BibTex (up to 50 authors)
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@article{2024_Chen Zhu,
author = {Chen Zhu and Li Fan and Yueqin Diao and Wanlong Zhao and Puyin Fan},
title = {Knowledge-embedded multi-layer collaborative adaptive fusion network: Addressing challenges in foggy conditions and complex imaging},
journal = {Journal of King Saud University - Computer and Information Sciences},
year = {2024},
volume = {36},
publisher = {Springer Nature},
month = {dec},
url = {https://linkinghub.elsevier.com/retrieve/pii/S1319157824003197},
number = {10},
pages = {102230},
doi = {10.1016/j.jksuci.2024.102230}
}
Cite this
MLA
Copy
Chen Zhu, et al. “Knowledge-embedded multi-layer collaborative adaptive fusion network: Addressing challenges in foggy conditions and complex imaging.” Journal of King Saud University - Computer and Information Sciences, vol. 36, no. 10, Dec. 2024, p. 102230. https://linkinghub.elsevier.com/retrieve/pii/S1319157824003197.