Paper Review Records
All Paper Review Records
10 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
76
days
The application of the attention deep learning model based on Particle Swarm Optimization in heating load prediction
Authors
Xin Zhang; Xin Zhang; Jiliang Han; Bo Wang; Qiang Pan; Fang Zhao; Zhaowei Zhang; Yida WangShow moreShow less
Affiliations
1. Harbin Meteorological Service Center, Harbin150028, People’s Republic of China; 2. Harbin Software Research Institute of Chinaunicom; 3. Heilongjiang Provincial Meteorological Data Center, Harbin150028, People’s Republic of China; 4. Harbin Meteorological Observatory, Harbin150028, People’s Republic of ChinaShow moreShow less
64
days
Quantifying the impact of occupancy sensor errors on energy savings, thermal comfort, and peak demand in residential smart thermostats
Authors
Leandro Pinheiro; Zhechao Wang; Zheng O'Neill; Zhihong PangShow moreShow less
Affiliations
1. Louisiana State University; 2. Texas A&M UniversityShow moreShow less
164
days
Federated learning for enhancing extrapolation ability of HVAC models: case study on two real-life DOAS units
Authors
Seongkwon Cho; Cheol Soo ParkShow moreShow less
Affiliations
1. Seoul National UniversityShow moreShow less
92
days
Optimized graph-based modelling of multi-zone building energy systems: a sensitivity–identifiability-driven calibration approach
Authors
Zeinab Echreshavi; Mohsen Farbood Palangari; Enrico Sisti; Mirco Rampazzo; Ruggero CarliShow moreShow less
Affiliations
1. University of PadovaShow 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