Paper Review Records
全部论文审稿周期
23 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
250
天
An empirical study of self-admitted technical debt in AI agents
作者
Suqi Fang; Zhipeng Gao; Tingting Bi; Haoye Wang; Fangcheng Qiu; Guanlin Chen; Xinyu Wang展开收起
作者单位
School of Computer and Computing Science, Hangzhou City University, Hangzhou, 310015, Zhejiang, China; Shanghai Institute for Advanced Study of Zhejiang University, 201203, Shanghai, China; The University of Melbourne, 3010, Australia; Zhejiang Gongshang University, Hangzhou, 310018, Zhejiang, China; Zhejiang University, Hangzhou, 310027, Zhejiang, China展开收起
244
天
From challenge to change: Design principles for AI transformations
作者
Theocharis Tavantzis; Stefano Lambiase; Daniel Russo; Robert Feldt展开收起
作者单位
Department of Computer Science, Aalborg University, Aalborg, Copenhagen, Denmark; Department of Computer Science and Engineering, Chalmers University of Technology — University of Gothenburg, Gothenburg, Sweden展开收起
250
天
Embrace ad-hoc requirements — A characterization based on a multi-method industry study
作者
Andrea Wohlgemuth; Fabiano Dalpiaz; Erik Kamsties展开收起
作者单位
Utrecht University, Princetonplein 5, Utrecht, 3584 CC, The Netherlands; University of Applied Sciences and Arts Dortmund, Emil-Figge-Straße 42, Dortmund, 44227, Germany展开收起
204
天
210
天
Steel does not Sprint (or does it?): Enabling agility for cyber–physical systems through consistency preservation
作者
Albert Albers; Anne Koziolek; Thomas Alexander Voelk; Razieh Dehghani; Thomas Weber; Tilman Pfersdorff; Frederik Beck; Maximilian Beck; Katharina Bause; Tobias Düser展开收起
作者单位
IPEK - Institute of Product Engineering, Karlsruhe Institute of Technology, Kaiserstr. 10, Karlsruhe, 76131, Baden-Württemberg, Germany; KASTEL - Institute of Information Security and Dependability, Am Fasanengarten 5, Karlsruhe, 76131, Baden-Württemberg, Germany; Institut für Technik der Informationsverarbeitung (ITIV), Karlsruhe Institute of Technology, Engesserstr. 5, Karlsruhe, 76131, Baden-Württemberg, Germany展开收起
112
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