The author only needs to upload the paper to the duplicate checking system, and the system will check the duplicate in sections according to the paper catalogue. You can search for papers with quick duplicate checking on Baidu, click Start Query, enter the title and author and paste the papers in this place, and then click Start Duplicate Checking. The waiting process may be a bit long, so be patient. After the query, click View Report to get a clear understanding of the repetition rate of the paper.
The duplicate checking system will calculate the overall duplicate checking rate of the paper according to the continuous repetition of 13 characters. Because the databases of different systems contain different documents and algorithms, the results of duplicate checking will be different. When choosing a paper duplicate checking system, we should try our best to choose a duplicate checking system that meets the requirements of universities or colleges, or enterprises should choose a safe, reliable and accurate third-party duplicate checking system for management self-inspection.
Reliable duplicate checking system
1. China hownet
HowNet should be the final system of 985/2 1 1 famous schools. HowNet is mainly aimed at high-end universities and is also the first choice of many magazines.
2. Wanfang detection
Wanfang data document similarity detection service adopts scientific and advanced detection technology, realizes full-text comparison of massive academic document data, adheres to the principles of objectivity, fairness, accuracy and comprehensiveness, and provides users with accurate and detailed similarity detection results, presenting multi-version and multi-dimensional detection reports.
3.VIP paper detection system
The VIP paper detection system independently developed by Chongqing VIP Information Co., Ltd. adopts the advanced technology of dynamic semantic cross-domain identification and fingerprint comparison of massive papers, and deploys cloud detection service to enable it to quickly, stably and accurately detect plagiarism and improper quotations in articles, thus realizing the detection service for academic misconduct.