英文文章
1.Yanjiao Zhang, Xueying Liu, Lin Chen, Ying Fu, Changyu Li, Zhaoming Qi, Jianan Zou, Rongsheng Zhu, Shuping Li, Wei Wei, Jinhui Wang, Huilin Chang, Yan Shi, Jieqi Wang, Qingying Li, Jingyi Zhu, Hongwei Jiang, Xiaoxia Wu, Cunguang Jia, Zhengong Yin, Zhenbang Hu, Chunyan Liu, Qingshan Chen, Dawei Xin. Mining for genes encoding proteins associated with NopL of Sinorhizobium fredii HH103 using quantitative trait loci in soybean (Glycine max Merr.) recombinant inbred lines. Plant and Soil(2018).https://doi.org/10.1007/s11104-018-3745-z.(SCI)
2.Hongtao Qin, Zhangxiong Liu, Yuyang Wang, Mingyue Xu, Xinrui Mao, Huidong Qi, Zhengong Yin, Yongliang Li, Hongwei Jiang, Zhenbang Hu, Xiaoxia Wu, Rongsheng Zhu, Chunyan Liu, Qingshan Chen, Dawei Xin, Zhaoming Qi. Meta‐analysis and overview analysis of quantitative trait locis associated with fatty acid content in soybean for candidate gene mining.Plant Breeding (2018).https://doi.org/10.1111/phr.12562.(SCI)
3.Zhaoming Qi, Zhanguo Zhang, Zhongyu Wang, Jingyao Yu, Hongtao Qin, Xinrui Mao, Hongwei Jiang, Dawei Xin, Zhengong Yin, Rongsheng Zhu, Chunyan Liu, Wei Yu,Zhenbang Hu, Xiaoxia Wu, Jun liu, Qingshan Chen. Plant,Cell &Environment(2018), https://doi.org/10.1111/pce.13175.(SCI)
4.Zhengong Yin, Huidong Qi, Qingshan Chen, Zhanguo Zhang, Hongwei Jiang, Rongsheng Zhu, Zhenbang Hu, Xiaoxia Wu, Candong Li, Yong Zhang, Chunyan Liu, Guohua Hu, Dawei Xin, Zhaoming Qi. Soybean plant height QTL mapping and meta‐analysis for mining candidate genes. Plant Breeding(2017).https://doi.org/10.1111/pbr.12500.(SCI)
5. Xin D, Qi Z, Jiang H, Hu Z, Zhu R, Hu J, Han H, Hu G, Liu C, Chen Q: QTL Location and Epistatic Effect Analysis of 100-Seed Weight Using Wild Soybean (Glycine soja Sieb. & Zucc.) Chromosome Segment Substitution Lines. PloS one 2016, 11(3):e0149380. (SCI)
6. Rongsheng Zhu, Zanguo Zhang, Yang Li, Zhenbang Hu, Dawei Xin, Zhaoming Qi, Qingshan Chen: Discovering Numerical Differences between Animal and Plant microRNAs. PloS one 2016, 10(21). (SCI)
7. Qi Z, Pan J, Han X, Qi H, Xin D, Li W, Mao X, Wang Z, Jiang H, Liu C, Zhu R, Chen Q : Identification of major QTLs and epistatic interactions for seed protein concentration in soybean under multiple environments based on a high-density map. Molecular Breeding 2016, 36(5):1-16. (SCI)
8. Chen Q, Mao X, Zhang Z, Zhu R, Yin Z, Leng Y, Yu H, Jia H, Jiang S, Ni Z: SNP-SNP Interaction Analysis on Soybean Oil Content under Multi-Environments. PloS one 2016, 11(9):e0163692.(SCI)
9. Zhao-ming Q, Meng H, Xue H, Hui-dong Q, Hong-wei J, Da-wei X, Rong-sheng Z, Zhen-bang H, Chun-yan L, Guo-hua H: Association analysis of soybean oil and protein content for Northeast soybean cultivar in China. Chinese Journal of Oil Crop Sciences 2014, 36(2).
10. Qi Z, Huang L, Zhu R, Xin D, Liu C, Han X, Jiang H, Hong W, Hu G, Zheng H: A high-density genetic map for soybean based on specific length amplified fragment sequencing. PLoS One 2014, 9(8):e104871.(SCI)
11. Qi Z, Han X, Hou M, Xin D, Wang Z, Zhu R, Hu Z, Jiang H, Li C, Liu C: QTL analysis of soybean oil content under 17 environments. Canadian Journal of Plant Science 2014, 94(2):245-261.(SCI)
12. Jiang H-w, Xin D-w, Liu C-y, Qiu H-m, Zhu R-s, Hu Z, Shan C-y, Wang J-h, Hu G-h, Chen Q-s: A comparative proteomics analysis of soybean cotyledon and unifoliolate leaves under heat (chilling) treatments. Current Proteomics 2014, 11(1):61-70.(SCI)
13. Zhu R, Li X, Chen Q: Discovering numerical laws of plant microRNA by evolution. Biochemical and biophysical research communications 2011, 415(2):313-318.(SCI)
14. Wang L, Li J, Zhu R, Xu L, He Y, Zhang R, Rao S: A novel stepwise support vector machine (SVM) method based on optimal feature combination for predicting miRNA precursors. African Journal of Biotechnology 2011, 10(74):16720-16731.
中文文章
1、孙凯,闫学慧,朱荣胜.圆形水果自动分选和贴标签机的设计与应用[J].食品与机械,2018(08):79-84.
2、朱荣胜,金会会,王志豪,陈庆山.大豆MIR156基因家族起源与进化模式研究[J].东北农业大学学报,2016,47(02):8-15.
3、胡振帮,刘航,辛大伟,蒋洪蔚,朱荣胜,陈庆山,齐照明,刘春燕.基于野生大豆导入系的大豆粒长和粒宽的QTL分析[J].大豆科学,2015,34(06):945-949.
4、朱荣胜,刘景璐,陈庆山.MicroRNA数字特征综述[J].东北农业大学学报,2015,46(02):100-108.
5、齐照明,侯萌,韩雪,齐慧冬,蒋洪蔚,辛大伟,朱荣胜,胡振邦,刘春燕,胡国华,陈庆山.东北地区大豆主栽品种油份蛋白含量的关联分析[J].中国油料作物学报,2014,36(02):168-174.
6、吴琼、朱荣胜、陈庆山. 大豆油分含量位点主要等位基因挖掘.大豆科学,2012，31（4）：542-551
7、胡振帮、朱荣胜、陈庆山. 黑龙江省大豆品种单株粒重与其他农艺性状的灰色关联度分析. 东北农业大学学报. 2011，42（11）：57-62
8、朱荣胜、陈庆山、胡振帮、胡国华. 基于一种新测度的基因型分类方法研究.东北农业学报，2010，41（6）：140-143
9、朱荣胜、陈庆山、杨佳、吴贝贝、吴绪霞、李荟、孟军. 大豆叶片的特征提取方法研究. 农机化研究，2010，5：13-16
10、朱荣胜、陈庆山、胡振帮、胡国华. 大豆复杂性状候选位点的效应分析. 东北农业学报，2010，41（4）：108-111
11、单大鹏、朱荣胜（并列一）、陈立君、齐照明、刘春燕、胡国华、陈庆山. 大豆蛋白质含量相关QTL间的上位效应和QE互作效应. 作物学报，2009，35（1）：41-47
12、高运来、朱荣胜（并列一）、刘春燕、李文福、蒋洪蔚、李灿东、姚丙晨、胡国华、陈庆山. 黑龙江部分大豆品种分子ID的构建. 作物学报，2009，35（2）：211-218
13、王吉权、邱立春、朱荣胜. 龚帕兹曲线参数估计方法及应用研究. 数学的实践与认识. 2009，39（21）：74-79
14、王晶,朱荣胜,宋万坤,张闻博,刘春燕,胡国华,陈庆山.microRNA的实验和生物信息学开发方法[J].生物技术通报,2008(S1):125-130.
15、朱荣胜,王福林.黑龙江省农机总动力趋势包络预测与分析[J].东北农业大学学报,2006(04):512-515.
16、王福林,朱荣胜.趋势包络预测方法及其参数估计问题[J].系统工程理论方法应用,2003(04):340-342.
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