CrushSCI.com
146.1Average days
114Median days
44Fastest days
394Longest days
432025 publications

Paper Review Records

All Paper Review Records

15 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.

114 days

Archipelago tidal flats in Shinan, Southwestern Korea – sedimentary facies characteristics, sedimentation pattern and holocene rapid accretion

Authors
Hyun Ho Yoon; Tae Soo Chang; Ara Cho; Seung Young Ju; Seoung Soo ChunShow moreShow less
Affiliations
1. Quaternary Geological Research Center, Korea Institute of Geoscience and Mineral Resources (KIGAM), Daejeon, Republic of Korea; 2. Department of Geological and Environmental Sciences, Chonnam National University, Gwangju, Republic of Korea; 3. Research Institute for Geological Environment and Geohazard, Chonnam National University, Gwangju, Republic of Korea; 4. World Heritage Division, Shinan County Office, Shinan-gun, Republic of KoreaShow moreShow less
Source PDF DOI Publisher page
44 days

Distribution of sub-bottom sedimentary features in the Wandel Sea, Northeast Greenland

Authors
Lara F. Pérez; Thomas Funck; Jan Sverre Laberg; Monica Winsborrow; Riko Noormets; Cecilie Juhl Thaarup; Nicki Riber AndreasenShow moreShow less
Affiliations
1. Geological Survey of Denmark and Greenland – GEUS, Copenhagen, Denmark; 2. UiT The Arctic University of Norway, Tromsø, Norway; 3. iC3: Centre for Ice, Cryosphere, Carbon and Climate, Department of Geosciences, UiT The Arctic University of Norway, Tromsø, Norway; 4. The University Centre in Svalbard, Longyearbyen, Norway; 5. The University of Bergen, Bergen, Norway; 6. Danish Geodata Agency (GST), Nørresundby, DenmarkShow moreShow less
Source PDF DOI Publisher page
88 days

Tidal shear fronts and their implications for sediment dynamics in a tidal channel

Authors
Yun PengShow moreShow less
Affiliations
1. Ministry of Education Key Laboratory for Coast and Island Development, School of Geography and Ocean Science, Nanjing University, Nanjing, ChinaShow moreShow less
Source PDF DOI Publisher page

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Machine Learning and Life-Cycle Assessment for Predicting and Optimizing Carbon Emissions in Urban Wastewater Treatment

SampleLatest 5 valid paper samples from 2026

Average review62 days

Median65 days

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