CrushSCI.com
165.8Average days
160Median days
80Fastest days
275Longest days
1332025 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.

96 days

Scrap weight prediction for different scrap types based on semantic segmentation and machine learning

Authors
Jihu Yin; Pengcheng Xiao; Bixia Zhang; Liguang ZhuShow moreShow less
Affiliations
1. College of Metallurgy and Energy, North China University of Science and Technology, Tangshan, China; 2. Yanzhao Iron and Steel Laboratory, Tangshan, China; 3. College of Artificial Intelligence, Tianjin University of Science and Technology, Tianjin, China; 4. College of Materials Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, ChinaShow moreShow less
Source PDF DOI Publisher page
144 days

GDAN: global–dual attention with multi-scale fusion for robust SAR object detection

Authors
Shengjie Lei; Zhiyong Wei; Yulian Zhang; Meihua Fang; Baowen WuShow moreShow less
Affiliations
1. College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, China; 2. Wenshan College, Wenshan, ChinaShow moreShow less
Source PDF DOI Publisher page
93 days

Multiscale feature optimization for accurate small object detection in remote sensing imagery

Authors
Bingxiang Wang; Mugen Zhou; Wenzhuo Ma; Tianyu Li; Changsheng ZhuShow moreShow less
Affiliations
1. School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China; 2. School of Software Engineering, Xi’an Jiaotong University, Xi’an, China; 3. School of Microelectronics, Xi’an Jiaotong University, Xi’an, China; 4. School of Computer Science and Artificial Intelligence, Lanzhou University of Technology, Lanzhou, ChinaShow moreShow less
Source PDF DOI Publisher page
126 days

ViT-KANMoE: a vision transformer enhanced with a pure Kolmogorov–Arnold network-based mixture-of-experts for malaria blood smear image classification

Authors
Aluri Jitendra Chowdary; Mukesh Medikonda; Jasti Ramakrishna; Jyostna Devi BodapatiShow moreShow less
Affiliations
1. Department of Artificial Intelligence and Machine Learning, Vignan’s Foundation for Science, Technology and Research (VFSTR), Vadlamudi, IndiaShow moreShow less
Source PDF DOI Publisher page
222 days

YOLO-GHS: high-precision detection of insulator defects on transmission lines under severe weather conditions

Authors
Xiaoyang Song; Liqun Liu; Qingfeng Wu; Kai Yang; Ruizhen LiuShow moreShow less
Affiliations
1. School of Electronic Information Engineering, Taiyuan University of Science and Technology, Taiyuan, China; 2. Department of Automation, Taiyuan Institute of Technology, Taiyuan, ChinaShow 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.