ithenticate查重入口

ithenticate查重入口是什么

ithenticate论文检测系统,采用国际领先的海量论文动态语义跨域识别技术,通过与国内外大专院校、科研机构等资源单位的长期合作,ithenticate查重系统已拥有丰富的全文数据资源,从而保证了比对源的专业性和广泛性,通过运用最新的云检测服务部署使... 详细

支持语言语种 检测需要多久
中文与英文等小语种 7分钟左右高峰期或许延迟。
数据库优势 查重报告
图书300万种,期刊3万多种(6900多万篇),硕士毕业学位论文、会议论文各200多万篇,报纸1800多种(1.8亿多篇)。 支持手机端查看报告,提供word标红文档,提供四份不同维度查重报告。
马上查重

ithenticate相似度分析准吗

ithenticate查重介绍

ithenticate查重是一款强大的原创性检测软件,它可以帮助用户确定自己提交的文献是否与已经发表的文献存在重复或抄袭的问题。它可以检测出文献中存在的抄袭、同义替换等问题,并帮助用户编辑文献,使其符合发表标准。ithenticate查重可以检索文献中的英文、中文及其他多种语言,检索范围覆盖期刊、论文、专利等多种文献,可以帮助用户快速查找已发表的内容,从而确保原创性。

1.ithenticate论文重复率检测准确

ithenticate论文重复率检测准确ithenticate支持真伪验证的检测报告都支持官方验证真伪,和官网一致,假一赔十。

2.安全可靠

安全可靠ithenticate查重系统采用加密传输技术,保证上传的原文件与比对结果的安全性,并且采用了严格的隐私保护措施,保证用户的原创性作品受到保护。

3.高效报告

高效报告ithenticate查重系统采用先进的多核心算法,查重速度快,查重结果及时准确。

4.算法先进

算法先进ithenticate查重系统采用先进的机器学习技术,实现文本的智能分析,能够快速准确地定位文档中的抄袭情况,提高查重精度。

ithenticate检测流程

1、打开点击查重按钮,论文查重页面。 2、在论文提交界面,填写待检测论文的标题(篇名)和作者。如果要去除引用本人已发表文章的重复,请务必填写作者姓名。然后点击【开始上传】按钮上传待检论文。
3、点击【提交论文】按钮并进行支付。 4、提交后,页面会直接跳转至“检测报告”页面。
5、点击下载检测报告即可。 6、查看ithenticate检测报告,html版本报告用浏览器打开,pdf版本需要用pdf专业软件打开,doc版本直接用word打开。

ithenticate论文查重多少钱一千字

价格表:参考价位
1、本科/专科/:1元1000字 2、硕士查重:2元1000字
3、职称评定检测:12元1篇 4、杂志社期刊发表:20元1次
5、博士/书籍:6元1000字 6、函授/成人自考:2元千字

ithenticate注意事项免费问答

问:用ithenticate进行论文查重,安不安全?论文内容会不会被收录?

用ithenticate进行论文查重,安不安全?论文内容会不会被收录?答:ithenticate充分保护用户隐私。在检测完成之后,用户自行下载检测报告,报告在ithenticate的平台上只会保留7天时间,是支持用户自行删除及报告加密的。ithenticate是不会将你提交的任何文件收录、添加到比对数据库,除非你自己将论文发布到了能被收录的期刊上。系统一般收录的优秀毕业论文都是由导师提交到图书馆,再由图书馆统一整理后提交给查重系统。

问:ithenticate检测报告中,系统如何判断相似部分是否引用参考文献?

ithenticate检测报告中,系统如何判断相似部分是否引用参考文献?答:参考文献相似比需要系统能够识别出送检文献的文末参考文献才能得出有效结果,参考文献部分不参与比对。识别参考文献有三个前提条件:(1)需要让用户确认正文后,是否有“参考文献”四字,以及参考文献条目格式是否符合国标《信息与文献参考文献著录规则》(GB/T7714-2015)。
(2)送检文献确实引用了参考文献的原文内容。
(3)参考文献原文在ithenticate检测比对库中收录。

问:ithenticate查重原理、查重规则是什么?

ithenticate查重原理、查重规则是什么?答:其实,查重原理并不难理解,即查重系统有一个庞大的数据库,可以查询不同类型的内容,以不同的方式对比与ithenticate的文章的与数据库里面的海量文章的相似度。

问:总相似度是多少算合格?

总相似度是多少算合格?答:学校不同,规定不同,有些规定总相似比30%以下,有些规定总相似比20%以下,甚至有些学校规定总相似比10%以下。而期刊投稿和职称论文一般总相似比不得超过20%。

CrossCheckSCI英文论文查重算法规则和原理

CrossCheck 学术报告英文论文查重算法规则和原理

CrossCheck is an academic paper plagiari detection algorithm that works by comparing the content of a paper to a large database of other academic papers. The algorithm looks for similarities between the two documents and then gives a score based on how similar they are.

The algorithm works by first breaking down the documents into all chunks of text and comparing them to each other. When two chunks of text are found to be similar, the algorithm uses a set of rules to determine how similar they are. For example, the algorithm may look at the structure of the two chunks of text, the words used, and the order of the words. If the two chunks are very similar, the algorithm will assign a higher score.

The algorithm then compares the scores of the chunks of text with a predetermined threshold. If the score is above the threshold, the algorithm will mark the document as potentially plagiarised. The algorithm also takes into account the size of the documents and the amount of text that is similar, so that large documents with only a few chunks of text that are similar to each other will not be identified as plagiarised.

The algorithm also looks for other signs of plagiari such as similar phrases, repeated words, and similar formatting. It then adds up all of the scores and gives an overall score to the paper. If the overall score is high enough, the algorithm will classify the paper as plagiarised.

Overall, CrossCheck is an effective plagiari detection algorithm that can help identify potential plagiari in academic papers. It is relatively easy to use and gives accurate results.

iThenticate 国际论文英文论文查重算法规则和原理

iThenticate is an international paper plagiari detection algorithm developed by the company iParadigms to help researchers, authors, and editors prevent plagiari and detect potential misconduct. The algorithm was designed to identify similarities between texts and to quickly flag potential plagiari.

The iThenticate algorithm relies on a database of millions of published sources and academic journals, including open access and subscription databases. When a text is submitted to iThenticate, the algorithm searches for matching words and phrases in the database and flags any matches that exceed a certain threshold. The algorithm is designed to take into account the context of a phrase in order to identify meaningful matches.

The algorithm also takes into account any differences in writing styles, such as the use of synonyms or paraphrasing, which can make it difficult to detect plagiari by a human reader. By accounting for these differences, iThenticate is able to provide a more comprehensive and accurate analysis of a text.

In addition to its plagiari detection capabilities, iThenticate is also able to detect potential conflicts of interest in a text. The algorithm can flag any potential conflicts of interest, such as authors citing their own work or other authors who he a financial stake in the research.

Overall, iThenticate is an effective tool for detecting plagiari and potential misconduct in academic research. The algorithm’s ability to quickly and accurately detect similarities between texts makes it a valuable tool for researchers, authors, and editors.