CrushSCI.com
258.7Average days
198Median days
145Fastest days
527Longest days
782025 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.

396 days

Molybdenum isotope fractionation in Collision-type magmatic-hydrothermal systems: evidence from the Leimengou porphyry Mo deposit

Authors
Nan Qi; Anthony E. Williams-Jones; YunPeng Dong; Ryan Mathur; XinKai Chen; YanJing ChenShow moreShow less
Affiliations
1. State Key Laboratory of Continental Evolution and Early Life, Department of Geology, Northwest University, Xi’an, China; 2. Key Laboratory of Crustal and Orogenic Evolution, Peking University, Beijing, China; 3. Department of Earth and Planetary Sciences, McGill University, Quebec, Canada; 4. Department of Geology, Juniata College, Huntingdon, USAShow moreShow less
Source PDF DOI Publisher page
283 days

Copper and molybdenum isotope signatures along a vertical section through the Valeriano epithermal-porphyry Cu-Au system, El Indio-Maricunga belt, northern Chile

Authors
Stephanie Lohmeier; Bernd Lehmann; Andrew Hodgkin; Jan Pašava; Lukáš Ackerman; Ondřej Šebek; Alexandre Andronikov; Albrecht SchneiderShow moreShow less
Affiliations
1. Clausthal University of Technology, Institute of Geotechnology and Mineral Resources, Clausthal-Zellerfeld, Germany; 2. SBX Consultores, Las Condes, Santiago de Chile, Chile; 3. Czech Geological Survey, Praha 1, Czech Republic; 4. Institute of Geology of the Czech Academy of Sciences, Praha 6, Czech Republic; 5. ATEX Resources/SBX Consultores, Las Condes, Santiago de Chile, ChileShow moreShow less
Source PDF DOI Publisher page
527 days

Petrogenesis of Fe-Ti-V oxide mineralisation in the Kalka intrusion (Giles intrusions – Musgrave Province, South Australia)

Authors
Adam Abersteiner; Carl Spandler; Benjamin WadeShow moreShow less
Affiliations
1. Institute for Sustainability, Energy and Resources, The University of Adelaide, Adelaide, Australia; 2. Department of Earth Sciences, School of Physics, Chemistry and Earth Sciences, The University of Adelaide, Adelaide, Australia; 3. Department of Geosciences and Geography, Research programme of Geology and Geophysics (GeoHel), University of Helsinki, Helsinki, Finland; 4. ARC, Centre in Critical Resources for the Future, Perth, Australia; 5. Adelaide Microscopy, The University of Adelaide, Adelaide, AustraliaShow 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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