基于RWD数据库的能源学科撤稿论文特征分析及启示

Analysis of Retracted Papers in Energy Discipline Based on Retraction Watch Database

摘要: 近10多年来，全球学术论文大规模撤稿现象日益突出，分析撤稿论文特征，总结撤稿现象背后的规律性问题，有助于了解、识别和防范学术不端行为。基于RWD数据库，对能源学科的撤稿论文进行文献计量学研究，分析撤稿论文的整体趋势、撤稿时滞、国家分布、主体类型、撤稿原因等多方面特征，对比中国、印度、美国在学术不端行为方面的差异，提出要正确认识撤稿现象，各种科研主体应协同防范和治理学术不端，重视和合理评价人工智能时代的AIGC论文等建议。研究结果为我国能源学科科研活动全流程监管提供预警信息，为学术不端行为的识别、防范和治理提供参考。

Abstract: In recent 10 years, the phenomenon of large-scale retractions of academic papers has become increasingly prominent worldwide. Analyzing the characteristics of retracted papers and summarizing the regularity behind the phenomenon will help to understand, identify and prevent academic misconduct. Based on RWD database, this paper conducts a bibliometric research on retracted papers in energy discipline, analyzes the overall trend, time lag, country distribution, subject types, reasons for retractions and other characteristics of retractions, compares the differences in academic misconduct in China, India and the United States, and proposes to correctly understand the retractions phenomenon. Various scientific research bodies should cooperate to prevent and control academic misconduct, attach importance to and reasonably evaluate AIGC papers and other suggestions in the era of artificial intelligence. The research results provide early warning information for the whole process supervision of energy scientific research activities in China, and provide reference for the identification, prevention and management of academic misconduct.