Paper Review Records
All Paper Review Records
20 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
36
days
Dual-Polarizer Linearly Polarized Light Alters Wavelength- and E -Vector-Dependent Aggregation Responses in Locusta migratoria manilensis
Authors
Qihang Liu; Likui Wang; Fu Wang; Jinhai Yang; Fen Li; Min LiShow moreShow less
Affiliations
1. Henan Institute of Science and Technology, Xinxiang 453003, China; 2. School of Breeding and Multiplication, Sanya Institute of Breeding and Multiplication, Hainan University, Sanya 572025, China; 3. Technology Center of Kunming Customs, Kunming 650228, ChinaShow moreShow less
38
days
Functional Characterization of Trypsin Genes in Spodoptera litura and Their RNA Silencing in Combination with Insecticides
Authors
Li Xu; Ke Wang; Yin Huang; Yunsheng Wei; Hao Yu; Runqiang Liu; Dongzhi LiShow moreShow less
Affiliations
1. College of Plant Protection and Environment, Henan Institute of Science and Technology, Xinxiang 453003, China; 2. Henan Engineering Research Center of Green Pesticide Creation & Intelligent Pesticide Residue Sensor Detection, Henan Institute of Science and Technology, Xinxiang 453003, China; 3. State Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping, Xinxiang 453003, ChinaShow moreShow less
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.
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
- Database shortlist
- Environmental Technology & Innovation
SampleLatest 5 valid paper samples from 2026
Average review62 days
Median65 days