1, hownet: Hownet has a wide range of duplicate checking and authoritative results. With high-quality content resources, leading technology and professional services, China HowNet enjoys a high reputation in the industry. In 2007, China HowNet China Academic Journal Online Publishing Database won the first "China Publishing Government Award", and the full-text database of China's doctoral dissertations and the online publishing database of China Yearbook were nominated. This is the highest award in China's publishing field.
2.turnitin duplicate inspection: This inspection system mainly checks the duplicate of foreign documents. If students write foreign papers, it is more appropriate to use turnitin. By comparing the similarity between the manuscript uploaded by users and Turnitin massive cloud database and web page, the source of plagiarism is indicated for reference by reviewers.
3.PaperPass detection system is a product of Beijing Zhizhihui Technology Co., Ltd., and the website was born in 2007. After years of operation, it has developed into a reliable online website for checking Chinese originality and preventing plagiarism in China. The system adopts self-developed dynamic fingerprint leapfrog scanning detection technology, which has the advantages of fast detection speed, high precision and good market response.
4. Ant duplicate checking network has been the leading self-help duplicate checking website in China since it provided paper detection service. Direct access to the entrance of the official paper detection system used in colleges and universities, that is, students submit their own papers and download the duplicate check report themselves, and the whole process is completed by students themselves. It can be used for individuals to check the duplicate of undergraduate thesis, degree thesis, master thesis, doctoral thesis and published small thesis, and the test results are consistent with those of the school.
5.PaperOK paper detection system: the brand of Hunan Xuesou Technology Co., Ltd., based on the massive academic literature resources and Internet resources of big data, adheres to the principles of objectivity, fairness, accuracy and comprehensiveness, manages academic misconduct, provides users with objective and detailed duplicate checking reports, and provides support for publishing, scientific research and academics.