已发表论文

[1]刘元宁,常亚萍,李誌,张浩,田明尧,针对H1N1病毒的多特征siRNA设计研究,吉林大学学报(工学版), 2010.05, Vol.40,No.3,p776-781. (EI检索号: 20102312987649,他引次数:2)

[2]LIU Yuan-ning,YAN Wen ,ZHANG Hao ,LI ZHI,LU Hui-jun ,Prediction of miRNA based on miRNA Biogenesis using one-class SVM,CHEMICAL JOURNAL OF CHINESE UNIVERSITIES, 2010.09,Vol.26,No.5,p803-809. (SCI检索号: 672WU ,他引次数:1)

[3]李誌(学生第1),刘元宁,武泽旭,常亚萍,何飞,徐宝林,张浩,基于动态算法的序列分析,吉林大学学报(信息学版),2010.01,Vol.28, No.1, p41-46.(他引次数:1)

[4]王俊勇,张长海,刘元宁(通讯作者),朱晓冬,何飞,基于ROI归一化手段的ICA/PCA虹膜识别方法,吉林大学学报(理学版),2010.09,Vol.48, No.5, p793-798.(他引次数:1)

[5]Gang Wang(学生第一), Yuan-ning Liu, Hui-ling Chen, Xiao-dong Zhu, Xiao-kui Li, A Hybrid IFGPS Approach for Gene Selection, 2010 3rd International Conference on Computer and Electrical Engineering(ICCEE 2010), Chengdu,China, Nov.16-18, 2010, Ei

[6]Gang Wang(学生第一), Yuan-ning Liu, Xiao-dong Zhu, Hui-ling Chen, Zhen Liu,A new fuzzy adaptive multi-population genetic algorithm based spam filtering method,The 2nd International Conference on Information Engineering and Computer Science (ICIECS2010),Wuhan,China,Dec.25-26, 2010,Ei,http://www.iciecs.org/(EI检索号:20110813673807,他引次数:1)

[7]董浩(学生第一),刘元宁,分子动力学模拟研究A1408G突变对核糖体 16S rRNA片段的影响, 高等化学学报(中文版),2010.09, Vol.31, No.9, p1815-1819

[8]刘元宁,董浩,张浩,李誌,马尔可夫链在RNA二级结构预测中的应用 吉林大学学报(工学版),2010.09,Vol.40,No.1, p324-327 (EI检索号:20104613383720)

[9]Jun Yu, Changhai Zhang, Yuanning Liu(通讯作者), Xin Li,Simulating the Folding Pathway of RNA Secondary Structure Using the Modified Ant Colony Algorithm,Journal of Bionic Engineering,Vol.7,NO.4,December 2010,p382-389

[10]刘元宁,胡宗星,朱晓冬,何飞,基于轮廓跟踪的虹膜定位算法,吉林大学学报(理学版),2011.02,Vol.49, No.2, p273-278.(他引次数:4)

[11]Yuanning Liu, Hao Dong, Hao Zhang, Gang Wang, Zhi Li and Huiling Chen, Prediction of RNA Secondary Structure Based on Particle Swarm Optimization, CHEMICAL RESEARCH IN CHINESE UNIVERSITES, 2011(1) 27(1): 108-112.(SCI检索号:727TN,他引次数:1)

[12]王刚, 刘元宁, 陈慧灵, 董浩, 朱晓东. 粗糙集与支持向量机在肝炎诊断中的应用, 吉林大学学报(工学版), 2011(1),.41(1): 160-164.(EI检索号:20110813693177,他引次数:7)

[13]Yuanning Liu, Gang Wang, Hui-ling Chen, Hao Dong, Xiao-dong Zhu. An improved particle swarm optimization for feature selection, Journal of Bionic Engineering,JOURNAL OF BIONIC ENGINEERING 2011(6),Vol. 8 No. 2 pp: 191-200 ( EI检索号:20112414062865,他引次数:24)

[14]刘元宁,王刚,赵正东,陈慧灵,朱晓冬,基于自适应多种群遗传算法的特征选择,吉林大学学报(工学版),2011(11) Vol. 41 (6): 1690-1693

[15]王刚,刘元宁,张晓旭,赵正东,朱晓冬,刘震,基于模糊自适应粒子群的垃圾邮件过滤方法,吉林大学学报(工学版),2011(5) Vol. 41 (03): 716-720(EI检索号:20112013990688,他引次数:3)

[16]Yuan-ning Liu, Gang Wang, Hui-ling Chen, Zheng-dong Zhao, Xiao-dong Zhu, Zhen Liu, An adaptive fuzzy ant colony optimization for feature selection, Journal of Computational Information Systems, 2011(4),7(4):1206-1213. (EI检索号:20111913971951,他引次数:4)

[17]Yang Jieming, Liu Yuanning, Liu Zhen , Zhu Xiaodong,Zhang Xiaoxu,A new feature selection algorithm based on binomial hypothesis testing for spam filtering, KNOWLEDGE-BASED SYSTEMS , 2011(8),24(6):904-914 . (SCI检索号:785JH,他引次数:9)

[18]Chen Ying, Liu Yuanning, Liu Jing, He Fei,Design of PDM multi-version management model based on polychromatic sets theory, Advanced Materials Research, 2011,vol. 271-273, p 28-33.

[19]He Fei, Liu Yuanning, Liu Jing, Chen Ying, Workflow model design based on N-tree for process management in PDM, Advanced Materials Research, 2011,vol. 268-270, p 76-81.

[20]余军, 张长海, 张浩, 赵冠男, 刘元宁, 基于茎区的动态规划算法的核糖核酸二级结构预测,吉林大学学报(工学版),2011(3) Vol. 41 (02): 452-457. (EI检索号:20112914166256,他引次数:1)

[21]刘元宁,李鑫,张浩,沈廷杰,李誌,田明尧,鲁会军,调控流感病毒基因片段的人编码microRNA的新方法,吉林大学学报(工学版), 2011(11) Vol. 41 (6): 1704-1708

[22]徐宝林, 于大川, 高冬, 张浩, 刘元宁, siRNA序列特征的RNA干扰效率预测的新方法,吉林大学学报(信息版), 2011(9) Vol. 29 (5): 436-443(他引次数:2)

[23]李誌, 刘元宁(第一作者), 张浩,沈廷杰,李杰,翟洪亮;基于动态规划 RNA二级结构的比较研究,吉林大学学报(工学版)2011年 9月 第41卷 增刊2

[24]孙凤芳, 朱晓冬, 刘元宁(通讯作者),张晓旭, 张巍, 李为韬, 李鑫,一种Personality_OCC情感建模的新方法,吉林大学学报(理学版),2012.01,Vol.50, No.1, p106-110(他引次数:1)

[25]刘元宁; 沈廷杰; 张浩; 李鑫; 魏庆凯; 赫羽喆; microRNA靶基因特征提取新方法,吉林大学学报(工学版),2012.03,Vol.42, No.2, p418-422.

[26]董浩,刘元宁,张浩,王刚,基于隐Markov模型的RNA二级结构预测新方法,计算机研究与发展,2012年04期 49(4):812-817

[27]Jieming Yang,Yuanning Liu, Xiaodong Zhu ,Zhen Liu , Xiaoxu Zhang , A new feature selection based on comprehensive measurement both in inter-category and intra-category for text categorization,Information Processing & Management,Volume 48, Issue 4, July 2012, Pages 741–754

[28]Zhang Hao , Li Zhi,Liu Yuanning(通讯作者), Li Yanpu, Duan Yunna, Xu Dong ,RNA Secondary Structure Comparison Based on Dynamic Programming,2012 7th International Conference on Computing and Convergence Technology (ICCIT, ICEI and ICACT)(EI检索号:20133316602744 )

[29]Zhang Hao, Li Xin, Liu Yuaning(通讯作者), Li Zhi, Hu Minggang, Xu Dong,Human Encoded miRNAs that Regulate the Inflenenza Virus Genome, 2012 IEEE 6th International Conference on Systems Biology, ISB 2012(EI检索号:20124615669837 他引次数:1)

[30]Liu Yuanning, Chang Yaping ,Zhang Chao,Wei Qingkai,Chen Jingbo,Chen Huiling,Xu Dong, Influence of mRNA features on siRNA interference efficacy, Journal of Bioinformatics and Computational Biology, 卷:11 期:3 特刊:SI, JUN 2013

[31]Liu Yuanning,Chang Yaping,Xu Dong,Li Zhi,Zhang Hao,Li Jie,Tian Mingyao, Optimised design of siRNA based on multi-featured comparison and analysis of H1N1 Virus, INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS, 卷:7 期:4 页:345-357,2013

[32]Sun Liang,Luo HaiTao,Liao Qi,Bu DeChao,Zhao GuoGuang,Liu ChangNing,Liu YuanNing,Zhao Yi, Systematic Study of Human Long Intergenic Non-coding RNAs And Their Impact on Cancer, SCIENCE CHINA-LIFE SCIENCES, 卷:56 期:4 页:324-334, APR 2013(SCI检索号:126JK,他引次数:3)

[33]Liang Sun, Haitao Luo, Dechao Bu, Guoguang Zhao, Kuntao Yu, Changhai Zhang, Yuanning Liu, Rensheng Chen, Yi Zhao[J].Utilizing sequence intrinsic composition to classify protein-coding and long non-coding transcripts, Nucleic Acids Research,2013,doi:10.1093/nar/gkt646(IF:8.278 ,SCI检索228HF,他引次数:3)

[34]王友卫,刘元宁,朱晓冬. 用于图像内容认证的半脆弱水印新算法. 浙江大学学报(工学版), 2013, 47(6): 969-976.(EI检索号:20133216588069)

[35]Yu Yang, Liu Yuan Ning, Li Meng. Design of flexible workflow engine based on .NET. Applied Mechanics and Materials, 2013, v 433-435, p 1776-1781. (EI检索号:20134716999280)

[36]Deng Ning, Zhu Xiao Dong, Liu Yuan Ning, Li Yan Pu, Chen Ying. A workflow management model based on workflow node property. Applied Mechanics and Materials, 2014, v 442, p 450-457. (EI检索号:20134616980581)

[37]Deng Ning, Zhu Xiao Dong, Liu Yuan Ning, Li Yan Pu, Chen Ying. Time management model of workflow based on time axis. Applied Mechanics and Materials, 2014, v 442, p 458-465. (EI检索号:20134616980582)

[38]He Fei,Liu Yuanning,Zhu Xiaodong(通讯作者),Deng Weijie ,Zhang Xiaoxu ,Huo Guang,The affection of gabor parameters to iris recognition and their optimization ,2012 International Conference on Service-Oriented Computing, ICSOC 2012,November 16, 2013 - November 17, 2013,Jinan, China(EI检索号:20140617268416)

[39]Chen Ying; Liu Yuanning; Zhu Xiaodong(通讯作者); Zhang Xiaoxu; Xu Haiying; Huo Guang; Deng Ning,A novel iris image quality evaluation based on coarse-to-fine method,2012 International Conference on Service-Oriented Computing, ICSOC 2012,November 16, 2013 - November 17, 2013,Jinan, China(EI检索号:20140617268420)

[40]Zhang Hao, Li Zhi,Li Yanpu , Liu Yuanning(通信作者) ,Liu Junxin,Li Xin,Shen Tingjie,Duan Yunna,Hu Minggang,Xu Dong,A computational method for predicting regulation of human microRNAs on the influenza virus genome,BMC Systems Biology 2013, 7(Suppl 2):S3(SCI检索号:249VL,EI:20144600200764)

[41]Huo G, Liu Y N, Zhu X D. 2D-Gabor Filter Design and Parameter Selection Based on Iris Recognition[J]. Journal of Information and Computational Science, 2014,11(6).(EI检索号:20141917704059)

[42]Liu Yuan-Ning, Xu Bao-Lin, Zhang Hao, Chen Jing-Bo, Han Ye, Yu Jian-Long,基于siRNA-mRNA结合热力学特征的高效siRNA筛选,吉林大学学报(工学版)v 44, n 1, p 191-195, January 2014 (EI检索号:20140517253061)

[43]Liu Y, He F, Zhu X, et al. Video Sequence-Based Iris Recognition Inspired by Human Cognition Manner[J]. Journal of Bionic Engineering, 2014, 11(3): 481-489.(SCI检索号:AM1JC, WOS:000339601200014,他引次数:0 ,EI:20142917948855)

[44]He F, Liu Y, Zhu X, et al. Multiple local feature representations and their fusion based on an SVR model for iris recognition using optimized Gabor filters[J]. EURASIP Journal on Advances in Signal Processing, 2014, 2014(1): 95.(SCI检索号:AO6XA , WOS:000341494800001,他引次数:0,EI:20143017984099)

[45]He F, Liu Y, Zhu X, et al. Score level fusion scheme based on adaptive local Gabor features for face-iris-fingerprint multimodal biometric[J]. Journal of Electronic Imaging, 2014, 23(3): 033019-033019.(SCI检索号:AL2VU, WOS:000338984500020,他引次数:0,EI:20143318073997)

[46]Chen Y, Liu Y, Zhu X, et al. Novel Approaches to Improve Iris Recognition System Performance Based on Local Quality Evaluation and Feature Fusion[J]. The Scientific World Journal, 2014.

[47]Chen Y, Liu Y, Zhu X, et al. Efficient Iris Recognition Based on Optimal Subfeature Selection and Weighted Subregion Fusion[J]. The Scientific World Journal, 2014, 2014.

[48]Liu Y, Wang Y, Zhu X. Novel robust multiple watermarking against regional attacks of digital images[J]. Multimedia Tools and Applications, 2014: 1-23.(EI检索号:20143600043731,SCI:WOS:000357130400015)

[49]Liu Y, Wang Y, Zhu X, et al. Term frequency combined hybrid feature selection method for spam filtering[J]. Pattern Analysis and Applications, 2014: 1-15.

[50]Liu Y, Han Y, Zhu X, et al. The Application of Incomplete Information System of Rough Set Theory in Spam Filtering[J].Journal of Information & Computational Science,2014,11(11):3847–3856.(EI检索号:20143600062464)

[51]王友卫, 刘元宁, 朱晓冬. 抵抗图像区域攻击的鲁棒性水印算法[J]. 吉林大学学报: 工学版, 2014 (4): 1151-1158.(EI检索号:IP52981199)

[52]Huo G, Liu Y, Zhu X, et al. An Effective Iris Recognition System Based on Local Multi-resolution Feature Extraction[J].Journal of Information & Computational Science,2014,11(11):3695–3702.(EI检索号:20143600062449)

[53]Liu W, Zhu X D, Liu Y N, et al. Design of a Workflow Engine Based on Product Structure[C]//Advanced Materials Research. 2014, 1048: 554-559.(SCI:000347918000114 ,EI检索号:20150300421123)

[54]王友卫, 刘元宁, 凤丽洲, 朱晓冬. 基于用户兴趣度的垃圾邮件在线识别新方法. 华南理工大学学报(自然科学版), 2014, 42 (7).

[55]HUO G, LIU Y, ZHU X. An Efficient Iris Recognition Method Based on Energy-orientation Histogram Feature Descriptor[J]. Journal of Computational Information Systems, 2014, 10(18): 7693-7700.(EI检索号:20144900286083)

[56]Liu Y N, Han Y, Zhu X D, et al. An Expanded Feature Extraction of E-Mail Header for Spam Recognition[J]. Advanced Materials Research, 2014, 846: 1672-1675.(EI检索号:20140217186978,SCI: WOS:000339412900367)

[57]Huo G, Liu Y, Zhu X, et al. An Effective Iris Recognition Method Based on Scale Invariant Feature Transformation[M]//Biometric Recognition. Springer International Publishing, 2014: 301-310.(SCI:000354865000034)

[58]Wang YouWei, Liu YuanNing, Zhu XiaoDong.Two-step based hybrid feature selection method for spam filtering.JOURNAL OF INTELLIGENT & FUZZY SYSTEMS ,2014,27卷6页(SCI:000345981600008 ,EI检索号:20145000315365,影响因子:1.004,分区:4)

[59]Wang, Youwei, Liu, Yuanning ,Zhu, Xiaodong ,Feng, Lizhou ,Wu, Jianfeng. Novel online spam classification method based on K-means clustering. Journal of Computational Information Systems 2014,10卷21页(EI:20150300435577, 影响因子:0.764 分区:4 ccf推荐:c)

[60]Guang Huo,Yunning Liu,Xiaodong Zhu,Hongxing Dong.A Secondary Iris Recognition Method Based on Local Energy-Orientation Feature.JOURNAL OF ELECTRONIC IMAGING.2015.01, 24(1), 013033.(SCI, WOS:000350466100034 影响因子:0.616,分区:4)

[61]Youwei Wang, Yuanning Liu, Lizhou Feng, Xiaodong Zhu.Novel feature selection method based on harmony search for email classification. Knowledge-Based Systems, Volume 73, January 2015, Pages 311-323. (SCI检索号:AW4AW,影响因子:3.325,分区:2)

[62]Liu YuanNing,He Fei,Zhu XiaoDong,Liu Zhen,Chen Ying,Han Ye,Yu LiJiao.The Improved Characteristics of Bionic Gabor Representations by Combining with SIFT Key-points for Iris Recognition.JOURNAL OF BIONIC ENGINEERING .2015.07, 12(3).(SCI,WOS:000358269700017 ,影响 因子:1.466,分区:3)

[63]王友卫, 刘元宁, 凤丽洲, 朱晓冬. 基于用户兴趣集的在线垃圾邮件快速 识别新方法. 电子学报, 2015.

[64]Wang, You-Wei;Liu, Yuan-Ning;Feng, Li-Zhou;Zhu, Xiao-Dong.A novel quick online spam identification method based on user interest set.Chinese Institute of Electronics.2015.10.1,volume 43,pages 1963-1970.(EI 检索:20154901646767)

[65]Liu, Yuan-Ning. Ai, Lu-Lu1.Duan, Yun-Na1.Li, Zhi. Tian, Ming-Yao. Zhang, Hao. RNA pseudoknot prediction based on local structure Interaction.吉林大学学报(工学版)。v 45, n 2, p 613-618, March 1, 2015。(EI检索号:20151300678684)

[66]Liu, Yuan-Ning.Qi Zhao.Zhang Hao.Rui Xu.Yang Li.Liyan Wei.A New Method to Predict RNA Secondary Structure Based on RNA Folding Simulation.

[67]Huo, Guang,Liu, Yuanning,Zhu, Xiaodong, Face-iris multimodal biometric scheme based on feature level fusion,JOURNAL OF ELECTRONIC IMAGING,Vol: 24 No: 6, NOV 2015 ( WOS:000375861200013,影响因子:0.616,分区:4)

[68]Liu, Yuanning,Wang, Youwei,Zhu, Xiaodong,Novel robust multiple watermarking against regional attacks of digital images,MULTIMEDIA TOOLS AND APPLICATIONS, Vol: 74,No: 13,pp: 4765-4787, JUN 2015

[69]Huo, Guang, Liu, Yuanning,Zhu, Xiaodong,An Iris Recognition Method Based on Annule-energy Feature,10th Chinese Conference on Biometric Recognition (CCBR), Tianjin, CHINA ,NOV 13-15, 2015 (WOS:000374793400040)

[70]Huo, Guang,Liu, Yuanning,Zhu, Xiaodong,An Efficient Iris Recognition Method Based on Restricted Boltzmann Machine, 10th Chinese Conference on Biometric Recognition (CCBR),Tianjin,CHINA,NOV 13-15, 2015 (WOS:000374793400041)

[71]Huang, Biao; Liu, Yuanning; Zhu, Xiaodong; A model of time management based on tree in Product Data Management, International Conference on Materials Engineering and Information Technology Applications (MEITA) ,Guilin, CHINA, AUG 30-31, 2015 (WOS:000365117600184)

[72]Li, Liangyu; Liu Yuanning; Zhu, Xiaodong;A Role-Based Access Control Model that Supports Authorization with The Combination of Static and Dynamic,International Conference on Materials Engineering and Information Technology Applications (MEITA) ,Guilin, CHINA ,AUG 30-31, 2015 (WOS:000365117600185)

[73]Gao, Si ; Zhu, Xiaodong ; Liu, Yuanning ; He, Fei ; Huo, Guang ,A quality assessment method of Iris image based on support vector machine, 期刊Journal of Fiber Bioengineering and Informatics 检索类型:EI 检索号:20153701273995 分区:4 影响因子:1.004 卷:8 期:2 页:293—300

[74]Yu, Lijiao , Zhang Xiaoxu , Liu Yuanning , Zhu Xiaodong, Iris location algorithm based on small regional search 期刊:Journal of Computational Information Systems 检索类型:EI 检索号:20153201107505 分区:4 ccf推荐:C 影响因子:0.764 卷:11 期:12 页:4221-4228

[75]Dong Hongxing ,Zhu Xiaodong Liu Yuanning ,He Fei ,Huo Guang ,Iris recognition based on CPSO algorithm for optimizing multichannel gabor parameters 期刊:Journal of Computational Information Systems 检索类型:EI 检索号:20150900580284 分区:4 ccf推荐:C 影响因子:0.764 卷:11 期:1 页:333-340

[76]Liu, Yuanning,Wang, Youwei,Feng, Lizhou,Zhu, Xiaodong, Term frequency combined hybrid feature selection method for spam filtering,PATTERN ANALYSIS AND APPLICATIONS,Vol: 19,No: 2,pp: 369-383,MAY 2016 ( WOS:000374172600006)(影响因子:1.104 ,分区:4)

[77]Liu Y, Zhao Q, Zhang H, et al. A New Method to Predict RNA Secondary Structure Based on RNA Folding Simulation. IEEE/ACM Transactions on Computational Biology and Bioinformatics 2016.11, 13(5) (SCI, WOS: Data-in-review, 影响因子:1.6)

[78]Zhao, Q (Zhao, Qi)[ 1,2 ] ; Liu, YN (Liu, Yuanning)[ 1 ] ; Duan, YN (Duan, Yunna)[ 1 ] ; Dai, T (Dai, Tao)[ 1 ] ; Xu, R (Xu, Rui)[ 1 ] ; Guo, H (Guo, Hao)[ 2 ] ; Fan, DM (Fan, Daiming)[ 2 ] ; Nie, YZ (Nie, Yongzhan)[ 2 ] ; Zhang, H (Zhang, Hao)[ 1 ] FledFold: A Novel Software for RNA Secondary Structure Prediction, Letters in Organic Chemistry, SCI卷: 14期: 9页: 714-716 2017 ( WOS:000412055600014,影响因子:0.73 分区:4区)

[79][78] Liu Shuai, Liu Yuanning , Zhu Xiaodong ,Huo Guang , Liu Wentao , Feng Jiakai. Iris double recognition based on modified evolutionary neural network[J].Journal of Electronic Imaging, 2017,26(6):063023.(SCI期刊,影响因子:0.754, WOS: 000419961800036)

[80][79] Han, Y (Han, Ye)[ 1,2 ]; Liu, YN (Liu, Yuanning)[ 1,2 ] ; Zhang, H (Zhang, Hao)[ 1,2 ] ; He, F (He, Fei)[ 3,4,5 ] ; Shu, CH (Shu, Chonghe)[ 1,2 ] ; Dong, LY (Dong, Liyan)[ 1,2 ] , Utilizing Selected Di-and Trinucleotides of siRNA to Predict RNAi Activity.Computationl and Mathematical Methods in Medicine,Volume 2017,ID:5043984.12pages.(SCI JCR分区Q3 ,影响因子:1.506, WOS:000394018700001 )

[81]Qi Zhao, Yuanning Liu, Ning Zhang, Menghan Hu, Hao Zhang , Trupti Joshi,Dong Xu Evidence for plant-derived xenomiRs based on a large-scale analysis of public small RNA sequencing data from human samples SCI 卷: 13 期: 6 文献号: e0187519 出版年: JUN 27 2018(WOS:000436549200001,影响因子:2.806:分区:3)

[82]Liu H1,2, Zhang Z3, Wu N4,5, Guo H6, Zhang H7,8, Fan D9, Nie Y10, Liu Y11,12. Integrative Analysis of Dysregulated lncRNA-Associated ceRNA Network Reveals Functional lncRNAs in Gastric Cancer 2018 , 9 (6) GENES(影响因子:3.19 中科院分区:3 )WOS:000436494200035

[83]刘帅, 刘元宁, 朱晓冬, 林泽江, 杨金阳.蚁群变异粒子群优化的2次虹膜识别[J].计算机辅助设计与图形学学报, 2018, 30(9):1604-1614.(EI期刊, 编号: 20184205947594)

[84]刘元宁, 刘帅, 朱晓冬, 陈一浩, 郑少阁, 沈椿壮.基于高斯拉普拉斯算子与自适应优化伽柏滤波的虹膜识别[J].吉林大学学报(工学版), 2018, 48(5):1606-1613. (EI期刊)

[85]Identification of Potential Prognostic Genes for Neuroblastoma Zhong, XD (Zhong, Xiaodan)[ 1,2,3 ] ; Liu, YN (Liu, Yuanning)[ 1,2 ] ; Liu, HM (Liu, Haiming)[ 1,2 ] ; Zhang, YT (Zhang, Yutong)[ 3 ] ; Wang, LY (Wang, Linyu)[ 1,2 ] ; Zhang, H (Zhang, Hao)[ 1,2 ] 卷: 9文献号: 589 出版年: NOV 29 2018 刊物:FRONTIERS IN GENETICS 影响因子 4.151 入藏号: WOS:000451728400001

[86]刘元宁, 刘帅, 朱晓冬, 刘天慧, 杨霞.基于特征加权融合的虹膜识别算法[J].吉林大学学报(工学版), 2019, 49(1) (EI期刊)

[87]刘元宁, 刘帅, 朱晓冬, 霍光, 丁通, 张阔, 姜雪, 郭书君, 张齐贤.基于决策粒子群优化与稳定纹理的虹膜二次识别[J]. 吉林大学学报(工学版), 2019, 49(4) (EI期刊)

[88]Research Progress of Exogenous Plant MiRNAs in Cross-Kingdom Regulation 作者:Zhang, H (Zhang, Hao)[ 1,2,3 ] ; Zhan, MP (Zhan, Mengping)[ 1 ] ; Chang, HW (Chang, Haowu)[ 1 ] ; Song, SZ (Song, Shizeng)[ 1 ] ; Zhang, CH (Zhang, Chunhe)[ 1 ] ; Liu, YN (Liu, Yuanning)[ 1,2,3 ] CURRENT BIOINFORMATICS 卷: 14 期: 3 页: 241-245 DOI: 10.2174/1574893613666181113142414 出版年: 2019 jcr4区

[89]Mining Magnaporthe oryzae sRNAs With Potential Transboundar Regulation of Rice Genes Associated With Growth and Defense Through Expression Profile Analysis of the Pathogen-Infected Rice Hao Zhang1 ,Sifei Liu1 ,Haowu Chang1, Mengping Zhan1 ,Qing-Ming Qin2, , Borui Zhang3,Zhi Li4 and Yuanning Liu Frontiers in Genetics | www.frontiersin.org 1 March 2019 | Volume 10 | Article 296 ORIGINAL RESEARCH published: 29 March 2019

[90]A New Method of RNA Secondary Structure Prediction Based on Convolutional Neural Network and Dynamic Programming Hao Zhang1, Chunhe Zhang1, Zhi Li2, Cong Li1, Xu Wei1, Borui Zhang3, Yuanning Liu1