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
348
天
Improved forecasting of spring flood volume and low-flow discharge in the Buktyrma river (Kazakhstan) using hydrometeorological and soil–water indicators
作者
Serik B. Sairov; Nurgalym T. Serikbay; Javier Rodrigo-Ilarri; Sayat K. Alimkulov; Tursyn A. Tillakarim; María-Elena Rodrigo-Clavero展开收起
作者单位
1. Research Center, Republican State Enterprise “Kazhydromet”, Astana, Kazakhstan; 2. Department of Meteorology and Hydrology, Al- Farabi, Kazakh National University, Almaty, Kazakhstan; 3. Instituto de Ingeniería del Agua y del Medio Ambiente (IIAMA), Universitat Politècnica de València (UPV), Valencia, Spain; 4. Institute of Geography and Water Security, Almaty, Kazakhstan展开收起
367
天
Arsenic removal from wastewater using the bio-based graphene oxide and magnetite nanocomposites: reaction kinetic study
作者
Muhammad Shahbaz Akhtar; Raja Ameer Zulkifal; Shinho Chung; Seok Dockko; Ali Irfan; M. Khairy; Yoshitaka Nakashima; Muhammad Atif Irshad; Sami A. Al-Hussain; Magdi E. A. Zaki展开收起
作者单位
1. Department of Environmental Sciences, Forman Christian College University, Lahore, Pakistan; 2. Graduate School of Environmental, Life, Natural Science and Technology, Okayama University, Okayama, Japan; 3. Department of Civil and Environmental Engineering, Dankook University, Yongin-si, South Korea; 4. The Green Institute of Chemical Biomedical and Environmental Sciences (GICBES), Lahore, Pakistan; 5. Department of Chemistry, Government college University Faisalabad, Faisalabad, Pakistan; 6. Department of Chemistry, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia; 7. Department of Environmental Sciences, The University of Lahore, Lahore, Pakistan展开收起
164
天
Interpretable machine learning for groundwater-level prediction incorporating pumping-well power consumption
作者
Sheng-Wei Wang; Masaomi Kimura; Andreas Wunsch; Yen-Yu Chen; Wen-Chi Chen展开收起
作者单位
1. Department of Civil Engineering, National Central University, Taoyuan, Taiwan (ROC); 2. Faculty of Agriculture, Kindai University, Nara, Japan; 3. Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, Karlsruhe, Germany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