CrushSCI.com
186.5Average days
179Median days
66Fastest days
324Longest days
1952025 publications

Paper Review Records

All Paper Review Records

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

188 days

Multiphysics joint inversion with deep neural network representation for seismic, gravity, and direct current resistivity data

Authors
Tianze Zhang; Xiaohui Cai; Kristopher InnanenShow moreShow less
Affiliations
College of Instrumentation and Electrical Engineering, Jilin University, Changchun, 130061, China; CREWES Project, 2500 University Dr NW, Calgary, AB T2N 1N4, CanadaShow moreShow less
Source PDF DOI Publisher page
322 days

3D gravity inversion for heterogeneous sedimentary basin with cubic b-spline polynomial approximation using differential evolution algorithm

Authors
Chandra Prakash Dubey; Rajdeep Das; Anurag MondalShow moreShow less
Affiliations
Department of Geology and Geophysics, Indian Institute of Technology Kharagpur, Kharagpur, 721302, West Bengal, India; Department of Applied Geophysics, Indian Institute of Technology (Indian School of Mines), Dhanbad, 826004, Jharkhand, IndiaShow moreShow less
Source PDF DOI Publisher page
80 days

A boundary-enhanced and feature-interactive CNN–transformer network for shoreline extraction in complex coastal environments

Authors
Lin Liu; Zhiwei Zhang; Zhen Guo; Bin Guo; Chen Ma; Jianing Meng; Kaiman XuShow moreShow less
Affiliations
College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, PR China; Research Center for Islands & Coastal Zone, First Institute of Oceanography, Ministry of Natural Resources, Qingdao, PR ChinaShow moreShow less
Source PDF DOI Publisher page
175 days

Video compression for spatiotemporal Earth system data

Authors
Oscar J. Pellicer-Valero; Cesar Aybar; Gustau Camps VallsShow moreShow less
Affiliations
Image Processing Laboratory, Universitat de València, València, SpainShow moreShow less
Source PDF DOI Publisher page
303 days

Efficient nonlinear preconditioning for reservoir simulation history matching using random features learning

Authors
Antoine Lechevallier; Tor Harald Sandve; David Landa-Marbán; Birane Kane; Sarah GasdaShow moreShow less
Affiliations
NORCE Research AS, NorwayShow moreShow less
Source PDF DOI Publisher page
298 days

URAL: Uncertainty-driven Region-based Active Learning for data-efficient fault interpretation

Authors
Jing Wang; Yue Liu; Sicheng Xia; Siteng Ma; Ruihai DongShow moreShow less
Affiliations
School of Computer Science and Engineering, North China Institute of Aerospace Engineering, LangFang 065000, Hebei, China; School of Computer Science, University College Dublin, Dublin, IrelandShow moreShow less
Source PDF DOI Publisher page

Expert Matching · Case Demo

Turn Your Submission Goalsinto a Verifiable Journal Plan

Share your field, deadline, and author profile. CrushSCI uses real review records to suggest a title direction, shortlist journals, and estimate timelines.

We will reply within 30 minutes.

CrushSCI online

Client

I work in environmental engineering and need an SCI paper published within three months. I have no grant funding or prominent co-author. Which journals could I target?

CrushSCI

Yes. We will first screen for feasibility against the 90-day deadline, then identify comparable papers without grant support or prominent co-authors. The final shortlist will prioritize research quality and journal scope.

Suggested title
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

Contact CrushSCI

Contact CrushSCI

Leave your email address to discuss academic polishing, structural refinement, or one-to-one guidance.

We will reply within 30 minutes.

Selected service: Academic Consulting Service

Leave your email address

Or email us directly at [email protected]

Enter your email address so we can reply. Your details will remain private.