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
310
天
Classifying multipartite continuous-variable entanglement structures through data-augmented neural networks
作者
Xiaoting Gao; Mingsheng Tian; Feng-Xiao Sun; Ya-Dong Wu; Yu Xiang; Qiongyi He展开收起
作者单位
1. State Key Laboratory of Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics and Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, China; 2. Department of Physics, The Pennsylvania State University, University Park, USA; 3. State Key Laboratory of Information Photonics and Optical Communications and School of Physical Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China; 4. John Hopcroft Center for Computer Science, Shanghai Jiao Tong University, Shanghai, China; 5. Ministry of Education Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, Shaanxi Province Key Laboratory of Quantum Information and Quantum Optoelectronic Devices, School of Physics, Xi’an Jiaotong University, Xi’an, China; 6. Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan, China; 7. Peking University Yangtze Delta Institute of Optoelectronics, Nantong, China; 8. Hefei National Laboratory, Hefei, China展开收起
166
天
Capable language models can outgrow the benefits of collaboration
作者
Yubin Kim; Ken Gu; Chanwoo Park; Chunjong Park; Samuel Schmidgall; A. Ali Heydari; Yao Yan; Zhihan Zhang; Yuchen Zhuang; Yun Liu; Mark Malhotra; Paul Pu Liang; Hae Won Park; Yuzhe Yang; Xuhai Xu; Yilun Du; Shwetak Patel; Tim Althoff; Daniel McDuff; Xin Liu展开收起
作者单位
1. Google Research, Seattle, USA; 2. Massachusetts Institute of Technology, Cambridge, USA; 3. Google DeepMind, Mountain View, USA展开收起
278
天
Neural sampling from cognitive maps enables goal-directed imagination and planning
作者
Hui Lin; Yukun Yang; Rong Zhao; Giovanni Pezzulo; Wolfgang Maass展开收起
作者单位
1. Department of Precision Instruments, Center for Brain-Inspired Computing Research (CBICR), Tsinghua University, Beijing, China; 2. Institute of Machine Learning and Neural Computation, Graz University of Technology, Graz, Austria; 3. Institute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy展开收起
259
天
Enabling local neural operators to perform equation-free system-level analysis
作者
Gianluca Fabiani; Hannes Vandecasteele; Somdatta Goswami; Constantinos Siettos; Ioannis G. Kevrekidis展开收起
作者单位
1. Hopkins Extreme Materials Institute, Johns Hopkins University, Baltimore, USA; 2. Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, USA; 3. Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, USA; 4. Department of Civil and Systems Engineering, Johns Hopkins University, Baltimore, USA; 5. Dipartimento di Matematica e Applicazioni ‘Renato Caccioppoli’, Università degli Studi di Napoli Federico II, Naples, Italy; 6. School of Medicine’s Department of Urology, Johns Hopkins University, Baltimore, USA展开收起
432
天
A unifying framework from neural superposition to sparse interpretable codes
作者
David Klindt; Charles O’Neill; Patrik Reizinger; Harald Maurer; Nina Miolane展开收起
作者单位
1. Cold Spring Harbor Laboratory, Cold Spring Harbor, USA; 2. Australian National University, Canberra, Australia; 3. Max Planck Institute for Intelligent Systems, ELLIS Institute, Tübingen, Germany; 4. University of Tübingen, Tübingen, Germany; 5. University of California Santa Barbara, Santa Barbara, USA展开收起
317
天
A manifesto for Sustainability Robotics
作者
S. Song; B. Mazzolai; M. Kovač展开收起
作者单位
1. Department of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea; 2. Laboratory of Sustainability Robotics, Swiss Federal Laboratories for Materials Science and Technology (Empa), Dübendorf, Switzerland; 3. Bioinspired Soft Robotics Laboratory, Istituto Italiano di Tecnologia (IIT), Genova, Italy; 4. Laboratory of Sustainability Robotics, Swiss Federal Institute of Technology in Lausanne (EPFL), Lausanne, Switzerland; 5. Aerial Robotics Laboratory, Imperial College London, London, UK展开收起
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