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据中国科学技术信息研究所《2014年中国科技论文统计结果》显示,《热加工工艺》的1篇论文入选“2014年中国百篇最具影响优秀国内学术论文”。《热加工工艺》入选的这篇论文是:《基于主成分分析与B P神经网络的激光拼焊板力学性能预测》。这篇论文发表于本刊2012年第5期,第一作者是江苏大学的李新城教授。据《2014中国科技论文统计结果》介绍,从2007年开始,中国科学技术信息研究所首次发布
According to the “China Science and Technology Papers Statistics in 2014” issued by China Science and Technology Information Institute, one paper of “Hot Processing Technology” was selected as “2014 China Top 100 Most Influential Domestic Academic Paper”. The article “Hot Processing Technology” was selected: “Prediction of Mechanical Properties of Laser Tail Blanks Based on Principal Component Analysis and BP Neural Networks.” This paper was published in Issue 5, 2012, the first author is Professor Li Xincheng from Jiangsu University. According to the “2014 China Science and Technology Statistics Results” introduction, starting from 2007, China Science and Technology Information Institute first released