A high-quality SCI paper generally needs to be revised many times, and it is difficult for an experienced author to finalize it at one time. However, SCI articles after submission often receive revision opinions from editors on various major repairs and minor supplements. There is almost no chance of seeing an article published without modification. A total SCI is always spent in the process of revision. Acceptance after overhaul: When the editor thinks that the paper needs to be greatly revised, he will make this decision. When the author returns the revised manuscript, he needs to attach a point-by-point reply to the reviewer's opinion. The revised papers may also be sent to external reviewers, usually the first round reviewers, but editors also have the right to choose different reviewers. In the second round of review, some journals are called "re-review". According to the author's revision and the reply to the review and editing opinions, the results are determined. Whether it is an overhaul or a minor repair, you can modify the article by the following steps:

First, use accurate, vivid and concise language as much as possible, and resolutely get rid of improper words, such as coinage, misuse of part of speech, confusion of meaning, etc., and resolutely put an end to typos and irregular simplified words and self-made words.

Second, we should pay attention to correcting ungrammatical sentences such as incomplete structure, chaotic structure and improper collocation, so as to make them conform to language norms. But we should respect the original structure of the article, otherwise it may become more and more chaotic.

Third, we should pay attention to the logical connection between sentences, and strive to be coherent from top to bottom, with the same tone and smooth content. The logic is not good, nor is the paper, and the paper looks awkward, not to mention that others can agree with your point of view and your thinking.

The fourth step is about the data of the article. To ensure the accuracy and authenticity of the data, delete those vague data and cases appropriately. If the data is insufficient, you need to find relevant data to supplement it.