Paper Review Records
全部论文审稿周期
15 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
403
天
A DEM-based method for refining delineated stream networks using a longitudinal incision index
作者
Bin Zhang; Wanhong Yang; Jiaojiao Liu; Ping Long; Fanyao Xie; Jinshuai Xu; Junzhi Liu展开收起
作者单位
1. College of Earth and Environmental Sciences, Lanzhou University; 2. Center for Pan-Third Pole Environment, Lanzhou University; 3. Chayu integrated observation and research station of the Xizang Autonomous Region; 4. Key Laboratory of Pan-third Pole Biogeochemical Cycling; 5. Department of Geography, Environment and Geomatics, University of Guelph展开收起
265
天
A direct gridding orthorectification method for mapping remote sensing imagery onto a discrete global grid system
作者
Jinchi Dai; Jun Liu; Jin Ben; Qishuang Liang; Xingfeng Chen展开收起
作者单位
1. Institute of Surveying and Mapping, Information Engineering University; 2. Aerospace Information Research Institute, Chinese Academy of Sciences展开收起
172
天
Geographically and temporally convolutional neural network weighted regression for modelling spatiotemporal non-stationarity on uneven data
作者
Bei Feng; Chenxi Yu; Sensen Wu; Yijun Chen; Jiale Ding; Ziyu Yin; Jin Qi; Bo Huang; Zhenhong Du展开收起
作者单位
1. School of Earth Sciences, Zhejiang University; 2. Zhejiang Key Laboratory of Geographic Information Science; 3. Department of Geography, The University of Hong Kong展开收起
130
天
330
天
Do foundation models work for geospatial tabular data? An investigation of TabPFN and a proposed enhancement based on geospatial sparse attention
作者
Rui Deng; Ziqi Li; Mingshu Wang展开收起
作者单位
1. School of Geographical and Earth Sciences, University of Glasgow; 2. Department of Geography, Florida State University; 3. Spatial Data Science Center, Florida State University展开收起
213
天
GCMCNN: a geographically conditioned multiscale convolutional neural network for downscaling land surface temperature
作者
Yu Ma; Manchun Li; Chen Zhou展开收起
作者单位
1. Department of Geographic Information Science, School of Geography and Ocean Science, Nanjing University; 2. Jiangsu Provincial Key Laboratory for Advanced Remote Sensing and Geographic Information Technology, Nanjing University; 3. Collaborative Innovation Center for the South Sea Studies, Nanjing University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