期刊论文投稿留言模板

每份期刊都有自己的办刊方向和栏目特点，要找到和自己专业相匹配的学术期刊，了解其投稿要求和编排规范等，做到知己知彼，百战不殆。壹品优刊无定金发表，见录用后收费。

这个你在投稿的时候在邮件上写就可以了。现在论文投稿太普遍了，不需要特殊的说明。

Cover Letter, 即投稿信，是论文投递时与论文一起发送给编辑的信件，其目的是让编辑在阅读你的论文之前，简单了解你文章的基本情况。 不知道编辑是谁的情况下直接用 Dear editor; 但是，只要用心一点，去期刊官网查找，一般都能找到的。 在以第一段直接给出文章的标题 如 Letter, communications, article, review还是comments。 这个其实也可以不写，因为在投稿时会选择投稿文章类型。 简要包括研究背景，发现以及可以发表在期刊上的原因等等 一般为通讯作者姓名，所属机构，通讯地址，联系电话，邮箱等 经将这一部分挪到了投稿网站系统上，Cover letter中可以不再列出） 讲了这么多，分享一个实际的案例吧。 Dear Dr. Ciaccio, 杂志主编 On behalf of all coauthors, I am submitting our manuscript entitled “文章标题”for your consideration for publication in Biology and Medicine. 我谨代表所有合著者，提交我们题为“文章标题”的手稿，供您考虑在生物学和医学上发表。 Although there has been a large amount of research focusing on medical image segmentation, few studies have focused specifically on the segmentation of tiny organs. The difficulty of tiny organ segmentation is that the shape varies greatly among individuals and the boundary with surrounding tissues is not clear. In the current study, we proposed a 方法, which successfully solves the above two difficulties. The experimental results show that our proposed 方法 outperforms the state-of-the-art deep learning method in segmenting xxx with respect to accuracy. Another strength of our method is that it requires fewer trainable parameters and imposes a smaller demand on computational resources. The proposed method can potentially assist clinicians in diagnosis and treatment planning by quickly inspecting abnormalities in xxx and further quantitative analysis. 虽然已经有大量的研究集中在医学图像分割上，但是很少有研究专门针对微小器官的分割。微小器官分割的难点在于个体间形状差异较大，与周围组织的边界不清晰。 在本研究中，我们提出了一种新的xxx方法，成功地解决了上述两个难题。实验结果表明，我们提出的xxx优于最先进的深度学习方法。我们方法的另一个优点是，它需要较少的可训练参数，并且对计算资源的需求较小。 该方法通过快速检测xxx形态计量学异常和进一步定量分析，有可能帮助临床医生制定诊断和治疗计划。 We believe that this article is appropriate for publication by the Biology and Medicine, it would be of great interest to a broad range of readers including radiologists, clinical researchers, computer scientists, and other researchers in related fields. Finally, we would like to make the following declarations: All authors of this paper have read and approved the final version submitted and contents of this manuscript have not been copyrighted or published previously and is not under consideration for publication elsewhere. 我们相信这篇文章适合于生物学和医学出版，它将引起包括放射科医生、临床研究人员、计算机科学家和其他相关领域研究人员在内的广大读者的极大兴趣。 最后，我们谨声明：本文的所有作者均已阅读并批准提交的最终版本，本手稿的内容此前未受版权保护或出版，也未考虑在其他地方出版。(这一段可通用) Thank you for your consideration. I am looking forward to your assessment of our manuscript. 谢谢你的考虑。我期待着你对我们的手稿进行评估。 原文截图： Thank you for your email of Jul 19, 2021 (论文返修时间). We appreciate the encouraging and enthusiastic comments and suggestions made by you and reviewers, on the basis of which we have revised and (we think) strengthened our paper. In particular, we have added a detailed description of xxx, restructured the article to make it more logical and easy to understand. Moreover we added a performance comparison with the xxx algorithm, which is considered as the benchmark in the field of biomedical image segmentation. The results show that our proposed method is superior to xxx in the subfield of xxx segmentation, and our proposed model is much easier to train and deploy. Changes are tracked and highlighted in the revised manuscript, and all our responses to reviewers’ comments are detailed in ‘Response to Reviewers’. (通用，说明修改情况) 感谢您2021年7月19日的电子邮件。我们感谢您和审稿人提出的鼓舞人心和热情的评论和建议，在此基础上，我们修改并（我们认为）加强了我们的论文。 特别是，我们添加了xxx的详细描述，对文章进行了重组，使其更具逻辑性，更易于理解。此外，我们还添加了与xxx算法的性能比较，xxx算法被认为是生物医学图像分割领域的基准。 结果表明，该方法在xxx分割领域优于xxx，且该模型易于训练和部署。修改后的手稿中跟踪并强调了变更，我们对评审员意见的所有回复详见“Response to Reviewers”。 We look forward to hearing your decision on our revised manuscript. 我们期待着听到你对我们修改稿的决定。 原文截图： 有没有给到你启发呢？ 关于论文写作方面的教程一直在更新。查看之前的教程的方法：