Paper Review Records
全部论文审稿周期
25 篇有效样本 · 按发表日期由新到旧排列
审稿天数=录用日期-收稿日期；保留 PDF/DOI/网页源链接
151
天
GE-PEFT: Gated Expandable Parameter-Efficient Fine-Tuning for Continual Learning
作者
Janna Omeliyanenko; Andreas Hotho; Daniel Schlör展开收起
作者单位
1. Center for Artificial Intelligence and Data Science (CAIDAS), Würzburg, Germany; 2. Data Science Chair, Julius-Maximilians-University of Würzburg, Würzburg, Germany展开收起
346
天
Adaptive Swarm Mesh Refinement Using Deep Reinforcement Learning with Local Rewards
作者
Niklas Freymuth; Philipp Dahlinger; Tobias Würth; Simon Reisch; Luise Kärger; Gerhard Neumann展开收起
作者单位
1. Karlsruhe Institute of Technology (KIT), Autonomous Learning Robots, Karlsruhe, Germany; 2. Karlsruhe Institute of Technology (KIT), Institute of Vehicle System Technology, Karlsruhe, Germany展开收起
87
天
Towards Adaptive and Communication-Efficient Dynamic Federated Learning
作者
Shunxin Guo; Jiaqi Lv; Qiufeng Wang; Xin Geng展开收起
作者单位
1. School of Computer Science and Engineering, Southeast University, Nanjing, China; 2. Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, Nanjing, China展开收起
109
天
Top- k Diverse Polarized Communities in Signed Networks
作者
Francesco Gullo; Domenico Mandaglio; Andrea Tagarelli展开收起
作者单位
1. Department of Information Engineering, Computer Science, and Mathematics (DISIM), University of L’Aquila, L’Aquila, Italy; 2. Department Computer Engineering, Modeling, Electronics, and Systems Engineering (DIMES), University of Calabria, Rende, Italy展开收起
158
天
Fast Rashomon Sets of Sparse Rule Sets
作者
Cristina Molero-Río; Boxuan Li; Tong Wang; Cynthia Rudin展开收起
作者单位
1. Departamento de Estadística e Investigación Operativa & Instituto de Matemáticas de la Universidad de Sevilla, Universidad de Sevilla, Seville, Spain; 2. Department of Industrial Engineering and Operations Research, Columbia University, New York, USA; 3. School of Management, Yale University, New Haven, USA; 4. Department of Computer Science, Duke University, Durham, USA展开收起
197
天
Expert Matching · Case Demo
把投稿要求，转成可验证的期刊方案
说清专业、时限和作者背景，CrushSCI 结合真实审稿样本，给出拟题方向、期刊初筛与周期判断。
客户询问
我是环境工程专业，需要一篇 SCI，希望 3 个月内见刊。没有基金，也没有大牛挂名，可以投哪些期刊？
CrushSCI回复
可以。先按 90 天时限做可行性筛选，同步查找无基金、无知名作者挂靠的典型论文案例，作为选刊依据。重点核对研究质量与期刊 scope。
- 拟题建议
- 《融合机器学习与生命周期评价的城市污水处理碳排放预测与优化》
样本口径2026 年最近 5 篇有效论文样本
平均审稿62 天
中位数65 天