《计算机研究与发展》2019年论文高被引TOP10

排名论文信息1 施巍松,张星洲,王一帆,张庆阳.边缘计算:现状与展望[J].计算机研究与发展,2019,56(1):6989ShiWeisong,ZhangXingzhou,WangYifan,ZhangQingyang.EdgeComputing:State-of-the-ArtandFutureDirec-tions[J].JournalofComputerResearchandDevelopment,2019,56(1):69892 黄继鹏,史颖欢,高阳.面向小目标的多尺度Faster-RCNN检测算法[J].计算机研究与发展,2019,56(2):319327HuangJipeng,ShiYinghuan,GaoYang.Multi-ScaleFaster-RCNNAlgorithmforSmallObjectDetection[J].Jour-nalofComputerResearchandDevelopment,2019,56(2):3193273 彭宇新,綦金玮,黄鑫.多媒体内容理解的研究现状与展望[J].计算机研究与发展,2019,56(1):183208PengYuxin,QiJinwei,HuangXin.CurrentResearchStatusandProspectsonMultimediaContentUnderstanding[J].JournalofComputerResearchandDevelopment,2019,56(1):1832084 郑庆华,董博,钱步月,田锋,魏笔凡,张未展,刘均.智慧教育研究现状与发展趋势[J].计算机研究与发展,2019,56(1):209224ZhengQinghua,DongBo,QianBuyue,TianFeng,WeiBifan,ZhangWeizhan,LiuJun.TheStateoftheArtandFutureTendencyofSmartEducation[J].JournalofComputerResearchandDevelopment,2019,56(1):2092245 夏清,李帅,郝爱民,赵沁平.基于深度学习的数字几何处理与分析技术研究进展[J].计算机研究与发展,2019,56(1):155182XiaQing,LiShuai,HaoAimin,ZhaoQinping.DeepLearningforDigitalGeometryProcessingandAnalysis:ARe-view[J].JournalofComputerResearchandDevelopment,2019,56(1):1551826 纪守领,李进锋,杜天宇,李博.机器学习模型可解释性方法、应用与安全研究综述[J].计算机研究与发展,2019,56(10):20712096JiShouling,LiJinfeng,DuTianyu,LiBo.SurveyonTechniques,ApplicationsandSecurityofMachineLearningInterpretability[J].JournalofComputerResearchandDevelopment,2019,56(10):207120967 任家东,刘新倩,王倩,何海涛,赵小林.基于KNN离群点检测和随机森林的多层入侵检测方法[J].计算机研究与发展,2019,56(3):566575RenJiadong,LiuXinqian,WangQian,HeHaitao,ZhaoXiaolin.AMulti-LevelIntrusionDetectionMethodBasedonKNNOutlierDetectionandRandomForests[J].JournalofComputerResearchandDevelopment,2019,56(3):5665758 赵志远,王建华,徐开勇,郭松辉.面向云存储的支持完全外包属性基加密方案[J].计算机研究与发展,2019,56(2):442452ZhaoZhiyuan,WangJianhua,XuKaiyong,GuoSonghui.FullyOutsourcedAttribute-BasedEncryptionwithVerifi-abilityforCloudStorage[J].JournalofComputerResearchandDevelopment,2019,56(2):4424529 陈游旻,陆游游,罗圣美,舒继武.基于RDMA的分布式存储系统研究综述[J].计算机研究与发展,2019,56(2):227239ChenYoumin,LuYouyou,LuoShengmei,ShuJiwu.SurveyonRDMA-BasedDistributedStorageSystems[J].JournalofComputerResearchandDevelopment,2019,56(2):22723910 赵洪科,吴李康,李徵,张兮,刘淇,陈恩红.基于深度神经网络结构的互联网金融市场动态预测[J].计算机研究与发展,2019,56(8):16211631ZhaoHongke,WuLikang,LiZhi,ZhangXi,LiuQi,ChenEnhong.PredictingtheDynamicsinInternetFinanceBasedonDeepNeuralNetworkStructure[J].JournalofComputerResearchandDevelopment,2019,56(8):16211631