CrushSCI.com
396.6平均天数
370中位天数
168最短天数
764最长天数
2382025发文量

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

404 天

A practical toolbox for modelling fibrosis in vitro

作者
Margaretha A. J. Morsink; Sharon Fleischer; Trevor R. Nash; Thomas Falcucci; Julie Leonard-Duke; Vanessa Li; Meghan Pinezich; Jugal Kishore Sahoo; Onur Hasturk; Andy Lee; Sophia Theodossiou; Jaewon Choi; Pamela Graney; Clark Hung; David L. Kaplan; Gordana Vunjak-Novakovic展开收起
作者单位
1. Department of Biomedical Engineering, Columbia University, New York, USA; 2. The Shmunis School of Biomedicine and Cancer Research, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel; 3. Department of Medicine, Columbia University, New York, USA; 4. Department of Biomedical Engineering, Tufts University, Medford, USA; 5. College of Dental Medicine, Columbia University, New York, USA展开收起
PDF源文件 DOI 网页
267 天

Deep-learning triage of three-dimensional pathology datasets for comprehensive and efficient pathologist assessments

作者
Gan Gao; Renao Yan; Andrew H. Song; Huai-Ching Hsieh; Lindsey A. Erion Barner; Fiona Wang; David Brenes; Sarah S. L. Chow; Rui Wang; Kevin W. Bishop; Yongjun Liu; Xavier Farre; Mukul Divatia; Michelle R. Downes; Funda Vakar-Lopez; Priti Lal; Wynn Burke; Anant Madabhushi; Lawrence D. True; Deepti M. Reddi; William M. Grady; Faisal Mahmood; Jonathan T. C. Liu展开收起
作者单位
1. Department of Mechanical Engineering, University of Washington, Seattle, USA; 2. Department of Pathology, Stanford University School of Medicine, Stanford, USA; 3. Department of Pathology, Mass General Brigham, Harvard Medical School, Boston, USA; 4. Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, USA; 5. Institute for Data Science in Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA; 6. Department of Bioengineering, Stanford University, Stanford, USA; 7. Department of Bioengineering, University of Washington, Seattle, USA; 8. Department of Laboratory Medicine and Pathology, University of Washington, Seattle, USA; 9. Public Health Agency of Catalonia, Lleida, Spain; 10. Division of Anatomic Pathology, Department of Laboratory Medicine and Molecular Diagnostics, Precision Diagnostics and Therapeutics Program, Sunnybrook Health Sciences Centre, Laboratory Medicine and Pathobiology, Toronto, Canada; 11. Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, USA; 12. Department of Medicine, University of Washington, Seattle, USA; 13. The Translational Science and Therapeutics Division, Fred Hutchinson Cancer Research Center, Seattle, USA; 14. Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, USA; 15. Atlanta Veterans Medical Center, Atlanta, USA; 16. Cancer Program, Broad Institute of Harvard and MIT, Cambridge, USA; 17. Data Science Program, Dana-Farber Cancer Institute, Boston, USA; 18. Harvard Data Science Initiative, Harvard University, Cambridge, USA展开收起
PDF源文件 DOI 网页
168 天

Foundation models in biomedical imaging: turning hype into reality

作者
Amgad Muneer; Kai Zhang; Ibraheem Hamdi; Rizwan Qureshi; Muhammad Waqas; Shereen Fouad; Hazrat Ali; Syed Muhammad Anwar; Jia Wu展开收起
作者单位
1. Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, USA; 2. Pediatric Surgical Research Laboratories, Massachusetts General Hospital, Boston, USA; 3. Department of Computer Science, Salim Habib University, Karachi, Pakistan; 4. School of Computer Science and Digital Technologies, Aston Centre for Artificial Intelligence Research and Application, Aston University, Birmingham, UK; 5. School of Computing Data and Mathematical Sciences, University of Stirling, Stirling, UK; 6. School of Medicine and Health Sciences, George Washington University, Washington, USA; 7. Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Hospital, Washington, USA; 8. Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA展开收起
PDF源文件 DOI 网页
212 天

Causal graph neural networks for healthcare

作者
Munib Mesinovic; Max Buhlan; Tingting Zhu展开收起
作者单位
1. Department of Engineering Science, University of Oxford, Oxford, UK; 2. Faculty of Medicine, Leipzig University, Leipzig, Germany; 3. Oxford Centre for Clinical Magnetic Resonance Research, Medical Sciences Division, University of Oxford, Oxford, UK展开收起
PDF源文件 DOI 网页
370 天

Engineered lipid nanoparticles for in vivo and durable editing of haematopoietic stem cells within humanized mice

作者
Jingjing Du; Zijin Luo; Dan Xie; Yan Chen; Ming Yang; Qiang Li; Lisha Wang; Lu Han; Yiming Zhang; Haiwei Li; Zilin Lan; Haoping Shi; Yinghui Li; Qiang Cheng; Fang Dong; Yingdai Gao; Yao Yao; Tao Cheng; Tuo Wei; Shuquan Rao展开收起
作者单位
1. State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China; 2. State Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Sciences, Beijing, China; 3. Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China; 4. University of Chinese Academy of Sciences, Beijing, China; 5. Tianjin Institutes of Health Science, Tianjin, China; 6. Department of Biomedical Engineering, College of Future Technology, Beijing Advanced Center of RNA Biology (BEACON), Peking University, Beijing, China展开收起
PDF源文件 DOI 网页
178 天

XunZi, an AI biologist, reveals disease-modifying targets

作者
Xinhe Huang; Junhong Qin; Fei Tang; Chenyu Yang; Linhua Xu; Junfen Wei; Dan Liu; Kang Chen; Chi Zhang; Miaomiao Chen; Yujie Gou; Jiayi Zhang; Yongze Ma; Lin Zhao; Yingfeng Tu; Peng Lei; Yu Xue; Da Jia展开收起
作者单位
1. Key Laboratory of Molecular Biophysics of Ministry of Education, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China; 2. Key Laboratory of Birth Defects and Related Diseases of Women and Children, Department of Pediatrics, West China Second University Hospital, State Key Laboratory of Biotherapy, Sichuan University, Chengdu, China; 3. Department of Neurology and State Key Laboratory of Biotherapy, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China; 4. Hubei Hongshan Laboratory, Wuhan, China; 5. College of Informatics, Huazhong Agricultural University, Wuhan, China展开收起
PDF源文件 DOI 网页

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。

我们会在半小时内回复。

CrushSCI 在线

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

Contact CrushSCI

联系 CrushSCI

留下手机号或微信号,我们将与你确认学术润色、结构优化或一对一辅导咨询需求。

我们会在半小时内回复。

当前选择:学术咨询服务

预留联系方式

也可以直接发送邮件至 [email protected]

手机号和微信号至少填写一项,仅用于本次咨询联系,不会公开。