被抄袭的文章：
1. Goehring Tobias, Bolner Federico, Monaghan Jessica JM, van Dijk Bas, Zarowski Andrzej, Bleeck Stefan (2017) Speech enhancement based on neural networks improves speech intelligibility in noise for cochlear implant users. Hearing Research 344: 183-194.
2. Acharya U. Rajendra, Oh Shu Lih, Hagiwara Yuki, Tan, Jen Hong, Adam Muhammad, Gertych Arkadiusz and Tan, Ru San (2017) A Deep Convolutional Neural Network Model to Classify Heartbeats. Computers in Biology and Medicine. 89(1): 389-396.
3. Monaghan Jessica JM, Goehring Tobias and Xin Yang (2017) Auditory inspired machine learning techniques can improve speech intelligibility and quality for hearing-impaired listeners. The Journal of the Acoustical Society of America 141(3).
4. Khaleelur Rahiman PF, Jayanthi VS and Jayanthi AN (2019) Deep convolutional neural network-based speech enhancement to improve speech intelligibility and quality for hearing-impaired listeners. Medical & Biological Engineering & Computing 57 (4):757-759. （文章的前期版别）
上面第 4 篇文章，也就是被撤文章的前期版别。前期版别被撤稿就是由于与其他文章 [1、2、3] 有着显着的重复。
第一次抄袭的文章：
1. C Tobias Goehring, Federico Bolner, Jessica J.M. Monaghan, Bas van Dijk, Andrzej Zarowski, Stefan Bleeck:“Speech enhancement based on neural networks improves speech intelligibility in noise for cochlear implant users”, Hearing Research 344, pp. 183-194 (2017),
2. Acharya, U. Rajendra and Oh, Shu Lih and Hagiwara, Yuki and Tan, Jen Hong and Adam, Muhammad and Gertych, Arkadiusz and Tan, Ru San:“A Deep Convolutional Neural Network Model to Classify Heartbeats”, Comput. Biol. Med. 89 C, pp. 389-396 (2017)
3. Jessica J. M. Monaghan, Tobias Goehring, and Xin Yang:“Auditory inspired machine learning techniques can improve speech intelligibility and quality for hearing-impaired listeners”, The Journal of the Acoustical Society of America 141, 1985 (2017)
然儿，我们惊讶的发现，第 2 次撤稿抄袭的文章和第一次撤稿抄袭的文章一样，也就是说，作者第一次因抄袭被撤稿后，并没有对抄袭内容进行修正，反而换了标题和期刊，持续投稿！
这心得有多大，才敢这样啊
参考信息：
https://journals.sagepub.com/doi/10.1177/1460458219893850?url_ver=Z39.882003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%20%200www.ncbi.nlm.nih.gov.
