发表的论文:
1. SCI检索论文
[1]. Ying Chen, Fei Hu, Yerong Wang, Cheng Zheng. Hybrid-attention densely connected U-Net for extracting livers from CT volumes[J]. Medical Physics. DOI10.1002/mp.15435,(SCI检索,WOS:000743540700001, IF=4.071,JCR-Q1,中科院二区,EI检索)
[2]. Ying Chen, Zhuang Zeng, Yugang Zeng, Huimin Gan, Huiling Chen, DenseSENet: more accurate and robust cross-domain iris recognition, Journal of Electronic Imaging. 30(6), 063024 (2021), doi: 10.1117/1.JEI.30.6.063024.(SCI检索,WOS:000737383500024, IF=0.945,JCR-Q4,中科院四区,EI检索)
[3]. Ying Chen, Huimin Gan, Zhuang Zeng, Huiling Chen. DADCNet: Dual attention densely connected network for more accurate real iris region segmentation [J]. International Journal of Intelligent Systems. 2022, 37(1):829-858(SCI检索,WOS:000691218600001,IF=8.709,JCR-Q1,中科院一区,EI检索,)https://doi.org/10.1002/int.22649
[4]. Ying Chen, Zhuang Zeng, Huimin Gan, Yugang Zeng, and Wenqiang Wu. Non-Segmentation Frameworks for Accurate and Robust Iris Recognition[J]. Journal of Electronic Imaging. 30(3), 033002 (2021), doi: 10.1117/1.JEI.30.3.033002(SCI检索,IF=0.884,JCR-Q4,中科院四区,WOS:000663803900003,EI检索,)
[5]. Ying Chen, Yerong Wang, Fei Hu. LDNNET:Towards Robust Classification of Lung Nodule and Cancer using Lung Dense Neural Network[J]. IEEE ACCESS, 2021, 9(1): 50301-50320, DOI: 10.1109/ACCESS.2021.3068896(SCI检索,IF=4.098,JCR-Q1,中科院二区,WOS:000475916100001,EI检索,20192907188607,)
[6]. Yanan Zhang, Renjing Liu, Ali Asghar Heidari, Xin Wang, Ying Chen, Mingjing Wang, Huiling Chen. Towards Augmented Kernel Extreme Learning Models for Bankruptcy Prediction: Algorithmic Behavior and Comprehensive Analysis[J]. Neurocomputing, https://doi.org/10.1016/j.neucom.2020.10.038(SCI检索,WOS:000617365300017,IF=4.438,JCR-Q1,中科院一区,Top期刊)
[7]. Jiao Hu, Huiling Chen, Ali Asghar Heidari, Mingjing Wang, Xiaoqin Zhang, Ying Chen, Zhifang Pan. Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection[J]. Knowledge-Based Systems,2021, 213:106684, doi: 10.1016/j.knosys.2020.106684(SCI检索,WOS:000614642900003 ,IF=5.921,JCR-Q1,中科院一区,Top期刊)
[8]. Fengyu Yang, Tao Feng, Ganyang Xu, Ying Chen. Applied method for water-body segmentation based on mask R-CNN[J]. Journal of Applied Remote Sensing. 14(1), 014502 (2020), doi: 10.1117/1.JRS.14.014502(SCI检索,WOS:000512690300001,IF=1.53,JCR-Q4,中科院四区,)
[9]. Ying Chen, Yerong Wang, Fei Hu, Ding Wang. A Lung Dense Deep Convolution Neural Network for Robust Lung Parenchyma Segmentation. IEEE ACCESS. 2020, 8(1): 93527-93547, DOI: 10.1109/ Access. 2020.2993953(SCI检索,WOS:000541121800046,IF=4.098,JCR-Q1,中科院二区,EI检索,20202408806910,)
[10]. Ying Chen, Yangming Ge, Yerong Wang, Zhuang Zeng. An Improved Three-factor User Authentication and Key Agreement Scheme for Wireless Medical Sensor Networks[J]. IEEE ACCESS. 2019, 7(1): 85440-85451, DOI: 10.1109/ACCESS.2019.2923777(SCI检索,WOS:000475916100001,IF=4.098,JCR-Q1,中科院二区, EI检索,20192907188607,)
[11]. Ying Chen, Wenyuan Wang, Zhuang Zeng,Yerong Wang. An Adaptive CNNs Technology for Robust Iris Segmentation[J]. IEEE ACCESS. 2019, 7(1): 64517-64532, DOI: 10.1109/ACCESS.2019.2917153(SCI检索,WOS:000470029700001,IF=4.098,JCR-Q1,中科院二区, EI检索,20192307011501,)
[12]. Ying Chen, Wenyuan Wang, Zhuang Zeng,Yerong Wang. An Adapted Deep Convnets Technology for Robust Iris Recognition[J]. Journal of Electronic Imaging. 2019,28(3), 033008, DOI:10.1117/1.JEI.28.3.033008(SCI检索,WOS:000473732200008,IF=0.924,JCR-Q4,中科院四区, EI检索:20193007218173,)
[13]. Ying Chen, Yangming Ge, Wenyuan Wang, Fengyu Yang. A Biometric-based User Authentication and Key Agreement Scheme for Heterogeneous Wireless Sensor Networks[J]. KSII Transactions on Internet and Information Systems,2018,12(4):1779-1798. DOI: 10.3837/tiis.2018.04.021.(http://itiis.org/digital-library/manuscript/1991)(SCI检索, WOS:000432227900021,IF:0.611,EI检索,20182005207090)()
[14]. Yuanning Liu, Fei He, Xiaodong Zhu, Zhen Liu, Ying Chen, Ye Han, Lijiao Yu. The Improved Characteristics of Bionic Gabor Representations by Combining with SIFT Key-points for Iris Recognition[J]. 2015, 12:504-517. Journal of Bionic Engineering. (SCI检索, WOS:000358269700017,IF:1.632)
[15]. Ying Chen, Yuanning Liu, Xiaodong Zhu. Robust iris segmentation algorithm based on self-adaptive Chan-Vese level set model[J]. Journal of Electronic Imaging. 24 (4), 043012 07/2015; doi: 10.1117/1.JEI.24.4.043012(SCI检索,WOS:000362485300012 , IF:0.672)
[16]. Yang Fengyu, Chen Ying, Hu zheng, Zheng Wei, Duan Xilong. Design and Implement of a Flexible Workflow Model Based on UML Modeling Technology[J]. Applied Mechanics and Materials, Volumes 738-839, pp304-310.
[17]. Yuanning Liu, Fei He, Xiaodong Zhu, Ying Chen, Ye Han, Yanning Fu. Video Sequence-Based Iris Recognition Inspired by Human Cognition Manner[J]. Journal of Bionic Engineering, 2014, 11(3):481-489. (SCI检索, WOS:000339601200014,IF:1.632)
[18]. Fei He, Yuanning Liu, Xiaodong Zhu, Chun Huang, Ye Han, and Ying Chen. A Score Level Fusion Scheme based on adaptive local Gabor Features for Face-Iris-Fingerprint Multi-modal Biometrics[J], Journal of Electronic Imaging, 2014, 23(3): 033019,. (SCI检索, WOS:000338984500020,IF:1.081 )
[19]. Ying Chen, Yuanning Liu, Xiaodong Zhu, Huiling Chen, Fei He, and Yutong Pang. Novel Approaches to Improve Iris Recognition System Performance Based on Local Quality Evaluation and Feature Fusion[J]. The Scientific World Journal, vol. 2014, Article ID 670934, 21 pages, 2014. doi:10.1155/2014/670934. (SCI检索, WOS:000331897300001, IF: 1.73)
[20]. Ying Chen, Yuanning Liu, Xiaodong Zhu, Fei He, Hongye Wang, and Ning Deng. Efficient Iris Recognition Based on Optimal Subfeature Selection and Weighted Subregion Fusion[J]. The Scientific World Journal, vol. 2014, Article ID 157173, 19 pages, 2014. doi:10.1155/2014/157173. (SCI检索, WOS:000331766700001, IF: 1.73)
2. EI检索论文
[21]. Yugang Zeng,Ying Chen*,Huimin Gan,Zhuang Zeng. Incomplete Texture Repair of Iris Based on Generative Adversarial Networks. Chinese Conference on Biometric of Recognition(CCBR2021),2021年09月10~11日在上海,Lecture Notes in Computer Science( LNCS 12878),pp. 335–345, DOI: 10.1007/978-3-030-86608-2_37(EI检索:20213910948096,ISTP:)
[22]. Wenqiang Wu,Ying Chen*,Zhuang Zeng. Non-Segmentation and Deep-Learning Frameworks for Iris Recognition. Chinese Conference on Biometric of Recognition(CCBR2021),2021年09月10~11日在上海,Lecture Notes in Computer Science( LNCS 12878),pp. 325-334,DOI: 10.1007/978-3-030-86608-2_36(EI检索:20213910948095,ISTP:)
[23]. Ying Chen, Zhuang Zeng, Fei Hu. End to end robust recognition method for iris using a dense deep convolutional neural network. Chinese Conference on Biometric of Recognition(CCBR2019),2019年10月12~13日在湖南株洲,Lecture Notes in Computer Science(LNCS)11817,pp.364-375,2019,(EI检索:19037472,ISTP:)https://doi.org/10.1007/978-3-030-31456-9_41
[24]. Ying Chen, Ding Wang. Lung parenchymal segmentation algorithm based on improved marker watershed for lung CT images,Chinese Conference on Pattern Recognition and Computer Vision,PRCV2019,Lecture Notes in Computer Science( LNCS)11858,pp.126-137,2019,2019年11月8-11日在西安举行,(EI检索:19143726,ISTP:)https://doi.org/10.1007/978-3-030-31723-2_11
[25]. Ying Chen, Xiang Hu. Comparative Study on Routing Protocol for Ad Hoc Networks[J]. The 5th Annual International Conference on Network and Information Systems for Computers (ICNISC 2019), April 19-20, 2019, Wuhan, China. (EI检索,20193707437116,)IOP Conf. Series: Journal of Physics: Conf. Series 1288 (2019) 011001,doi:10.1088/1742-6596/1288/1/011001
[26]. Ying Chen, Yuanning Liu, Xiaodong Zhu, Xiaoxu Zhang, Haiying Xu, Guang Huo, and Ning Deng. A Novel Iris Image Quality Evaluation Based on Coarse-to-Fine Method[J]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8232 LNCS, pp. 353-360, 2013. (EI: 20140617268420)
[27]. Ning Deng, Xiaodong Zhu, Yuanning Liu, Yanpu Li, Ying Chen. Time Management Model of Workflow Based on Time Axis[J]. Applied Mechanics and Materials, Vol. 442, pp. 458-465. (EI: 20134616980582)
[28]. Ning Deng, Xiaodong Zhu, Yuanning Liu, Yanpu Li, Ying Chen. A Workflow Management Model Based on Workflow Node Property[J]. Applied Mechanics and Materials, Vol. 442, pp. 450-457. (EI: 20134616980581)
[29]. Ying Chen, Fengyu Yang, Huiling Chen. An Effective Iris Recognition System Based on Combined Feature Extraction and Enhanced Support Vector Machine Classifier[J]. Journal of Information and Computational Science, 2013, 10 (17): 5505-5519 (EI: 20135017075188)
[30]. Fengyu Yang, Ying Chen. A Research on MapReduce-based redundancy pruning for record linkage. Advanced Materials Research. Vols. 753-755 (2013) pp 3009-3013. (EI: 20134116828515)
[31]. Ying Chen, Fengyu Yang. Study on Iris Segmentation Method Using Chan-Vese Model. Advanced Materials Research. Vols. 753-755 (2013) pp 2995-2999. (EI: 20134116828512)
[32]. Ying Chen, Fengyu Yang. Design and Implementation of Dynamic Menu Based on Role-Based Access Control. Advanced Materials Research. Vols. 753-755 (2013) pp 2990-2994. (EI: 20134116828511)
[33]. Ying Chen, Fengyu Yang. Analysis of Iris Image Segmentation Methods Based on Level Set. Advanced Materials Research. Vols. 753-755 (2013) pp 2985-2989. (EI: 20134116828510)
[34]. Yi-Bing Liu, Xiao-Dong Zhu, Ying Chen, Yu Li. Automatic Building Process of Self-closed Modified N-Tree. TELOMNIKA Indonesian Journal of Electrical Engineering, 2014, 12 (1): pp. 157-166. (EI检索)
[35]. Ying Chen, Jian Shu, Fengyu Yang, Huiling Chen. User Authentication and Data Cryptograph System Based on Biometric Key for Wireless Sensor Networks. Journal of Computational Information Systems. 9: 10 (2013) 3949-3959 (EI: 20132416422425)
[36]. Fengyu Yang, Ying Chen and Ye Zhang. A Practical Approach for Scalable Record Linkage on Hadoop. Advanced Materials Research. Vols. 753-755 (2013) pp 3018-3024. (EI: 20134116828517)
[37]. Ying Chen, Fengyu Yang. Research on Characteristic Properties of Gray Level Co-occurrence Matrix, Applied Mechanics and Materials, 2012, Vols. 204-208, pp. 4755-4759. (EI: 20124815725602)
[38]. Ying Chen, Fengyu Yang. Analysis of Image Texture Features Based on Gray Level Co-occurrence Matrix, Applied Mechanics and Materials, 2012, Vols.204-208, pp. 4746-4750. (EI: 20124815725600)
[39]. Fei He, Yuan-ning Liu, Jing Liu, Ying Chen. Workflow Model Design Based on N-Tree for Process Management in PDM,Advanced Materials Research,Vols.268-270(2011) pp.76-81, (EI: 20112914166256)
[40]. Ying Chen, Yuan-ning Liu, Jing Liu, Fei He. Design of PDM Multi-Version Management Model Based on Polychromatic Sets Theory,Advanced Materials Research,Vols.271-273(2011) pp.28-33,(EI: 20113014175095)
[41]. Ying Chen, Jian Shu. Wireless Sensor Networks Security Issues as Smart Materials Systems,Applied Mechanics and Materials. Vols. 63-64 (2011) pp.497-501,(EI: 20112714110132)
[42]. Hong Liu, Jianxiang Zheng, Ying Chen. The Application of Multi-thread-based Embedded System in the Fire Monitor, In Processing of 2nd International Symposium on Electronic Commerce and Security, ISECS 2009, pp.506-508. (EI:20100312642020)
[43]. Hong Liu, Ying Chen, Jian Shu. Fusion Coding Algorithm of Node Energy in Wireless Sensor Networks. In Processing of Workshop on Computer Science and Engineering, WCSE 2009, Qingdao, China. pp: 317-322 (EI:20101412821531)
[44]. Ying Chen, Jian Shu, Hong Liu, Linlan Liu, Jiajie Gong. MRDWA: Multi-Role Dynamic Weighting Aggregation Algorithm in Event Driven Wireless Sensor Networks. In Processing of 5th International Conference on Information Assurance and Security, IAS 2008, Xi’an, China, v2, pp. 311-314. (EI:20100312642791)
[45]. 朱晓冬, 陈英, 李敏基, 王善辉. 系列虹膜图像质量评价. 仪器仪表学报, 2006, 27(6)Z: 2173-2176.(EI:20064210187619)
3. ISPT检索论文
[46]. Ying Chen, Fengyu Yang. Study on Importance of Initial Contour to Iris Segmentation Using Chan Vese Model[C]. 2nd International Conference on Sensors, Instrument and Information Technology (ICSIIT 2015) , 27-28 June, 2015, Guangzhou, China, pp.46-52.(ISTP检索,WOS:000380587300008)
[47]. Ying Chen, Fengyu Yang. Study on Parameters Setting of Chan and Vese Model to Iris Segmentation[C]. In Proceedings of the 4th International Conference on Information Technology and Management Innovation (ICITMI 2015), September 12-13, 2015, Shenzhen, China, ACSR-Advances in Computer Science Research丛书, pp. 494-499. (ISTP检索,WOS:000371016400080)
4. 教改类论文
[48]. 吴博雄,陈英,江智康. 基于ELO体系的学科竞赛排名模型优化研究[J].长江信息通信, 2021, 34(10):60-64.
[49]. 陈英,刘忠民. 计算机网络课程进行“课程思政”的策略研究[J]. 教育现代化, 2021, 5(29):170-173.
[50]. 陈英,江智康,章文贵,裴威凤. 算法设计与分析课程以赛励教的教学模式及效果分析[J]. 高教学刊, 2020, 5:77-79.
[51]. 郑巍,刘方利,游倩婧,樊鑫, 杨丰玉, 陈英. 基于交互网络的协作学习模式实证研究[J]. 教育现代化,2020,7(71):1-5,10.
[52]. 陈英, 郑巍, 杨丰玉, 段喜龙. 程序设计类竞赛集训模式探讨及作用分析[J]. 计算机教育, 2019, 4:116-119.
[53]. 陈英,袁东,谢蔚,熊家俊. 多校联合训练赛对我校学生综合素质提高的作用分析[J]. 高教学刊, 2019, 4:88-90+93.
[54]. 陈英, 郑巍, 杨丰玉, 段喜龙. 程序设计类竞赛对教学质量的作用及分析[J]. 高教学刊, 2018, 91(9):92-95
[55]. 杨丰玉, 陈英, 段喜龙, 郑巍, 张晔. 《WEB技术基础》课程教学中引入分层导学探讨[J]. 教育学研究, 2014, 2: 13-15.
[56]. 杨丰玉, 陈英, 杨柳, 苏曦. 企业案例贯穿课程教学探索. 计算机教育. 2010, 18: 77-80+83.
5. 核心期刊论文
[57]. 陈英,洪晨丰. 运动模糊图像的恢复技术研究[J]. 传感器与微系统,2021, 40(04): 63-65+73.
[58]. 徐长英, 赖伟财, 陈英. 基于深度学习的交通标志检测和识别[J]. 现代电子技术,2020, 43(23):72-75.
[59]. 徐长英,曾艳娇, 陈英. 基于加权模型的无参考图像质量评价方法[J]. 现代电子技术, 2020,43(21):43-46.
[60]. 陈英,董思羽. 基于可信度小波神经网络的多传感器数据融合方法,吉林大学学报(理学版),2020,58(4):953-959
[61]. 杨丰玉, 王宝英, 陈英, 冯涛, 陈涛苹. 一种考虑风力作用的KNN城市AQI预测算法[J]. 计算机应用研究, 2019, 36(6):1679-1682+1722
[62]. 葛芸, 江顺亮, 叶发茂, 姜昌龙, 陈英. 聚合CNN特征的遥感图像检索[J]. 国土资源遥感, 2019, 31(1):49-57. doi:10.6046/gtzyyg.2019.01.07
[63]. 尹红, 符祥, 曾接贤, 段宾, 陈英. 选择性卷积特征融合的花卉图像分类[J]. 中国图象图形学报. 2019, 24(05):0762-0772. [DOI:10.11834/jig.180426] (国家自然基金号,第3)
[64]. 陈英,李磊,汪文源,徐嘉伯,杨丰玉. 家用水表字符的识别算法研究[J]. 现代电子技术,2018,41(18):99-103. ()
[65]. 陈英, 胡艳霞, 刘元宁, 朱晓冬. 多传感器数据的处理及融合[J]. 吉林大学学报(理学版),2018,56(5):1170-1178()
[66]. 陈英,张鹏鹏,汪文源. 基于异向高斯核与RILPQ的模糊人脸表情识别方法[J]. 传感器与微系统,2018, 37(11):48-50. ()
[67]. 陈英,王静,段喜龙. 基于改进水平集的肝脏CT图像分割方法[J]. 传感器与微系统,2018, 37(10):4446.
[68]. 杨丰玉, 方正, 陈英, 王宝英. 基于碰撞域检测优化的测试用例自动生成方法[J]. 计算机应用研究, 2018, 35(1):135-139
[69]. 陈英, 汪文源, 朱晓冬, 刘元宁. 基于增强型无参考质量评价的序列图像自动选优策略[J]. 计算机应用研究, 2018, 35(7):2203-2206
[70]. 陈英,葛杨铭,杨丰玉. 基于虹膜生物特征的WSN访问认证方法研究[J]. 传感器与微系统,2016, 35(8):60-62+66.
[71]. 陈英,杨丰玉,符祥. 基于支持向量机和灰度共生矩阵的纹理图像分割方法,传感器与微系统, 2012, 31(9): 60-63
[72]. 杨丰玉,陈英,吴振华. 一种面向物联网应用的底层网络通信模块设计,计算机应用研究,2012, 29(3):1057-1059+1075.
[73]. 陈英, 舒坚. 基于信息熵的无线传感器网络的节点能量汇报机制, 传感器与微系统,2011,30(12):54-56+59.
[74]. 陈英,舒坚. 无线传感器网络监测数据的汇报机制研究, 传感器与微系统,2011,30(10):65-68.
[75]. 陈英, 舒坚, 刘琳岚, 黄韬. 无线传感器网络时间同步与成簇算法, 传感器与微系统. 2008, 29(1): 44-48
[76]. 李梁,刘琳岚,舒坚,陈英. 基于可靠最小跳数场的路由协议研究,微计算机信息,2007,23(12-1):pp.44-48
[77]. 陈英, 舒坚, 陈宇斌, 殷民. 无线传感器网络技术研究, 传感器与微系统. 2007, 26(10): 1-4+8.
[78]. 朱晓冬, 王善辉, 陈英. 基于数字水印的广告监控解决方案. 计算机工程与应用, 2007, 43(18): 231-233
[79]. 朱晓冬, 王善辉, 陈英. 一种数字电视信号监控的解决方案. 仪器仪表学报, 2006, 27(6) Z: 2208-2210
软件著作权:
[1]. 陈英,王博(学,18202132),祝成铭(学,18202128),熊晨宇(学,18202101). 基于中控指纹仪的大学生寝室楼门禁管理系统1.0,登记号:2020SR0901474,软著登字第5780170号,No.06192170,授权日期:2020/08/10
[2]. 陈英,熊家俊(学,162031班),江智康(学),章文贵(学).面向高校的编程学习互动平台V1.0,登记号:2019SR0884181,软著登字第4304938号,No.04482136,授权日期:2019/07/01
[3]. 陈英,黄鑫(学,142071班). 基于医疗场景的无线传感器网络访问控制系统V1.0,登记号:2018SR720917,软著登字第3050012号,No. 02990156,授权日期:2018/09/06
[4]. 范世超(学,152013班),陈英,蒋文峰(学),马嘉力(学),徐嘉伯(学). 数据结构与算法演示系统V1.0,登记号:2018SR521825,软著登字第2850920号,No.02769468,授权日期:2018/07/05
[5]. 熊家俊(学,162031班),陈英,袁东(学),谢蔚(学). 程序设计类竞赛数据统计分析平台V1.0,登记号:2018SR521816,软著登字第2850911号,No.02769467,授权日期:2018/07/05
[6]. 陈英, 汪文源(学). 基于联合特征的虹膜识别系统V1.0, 登记号:2017SR523260,软著登字第2108544号,No.01974255,授权日期:2017/09/18.
[7]. 陈英, 钟雅林(学,132071班),葛杨铭(学). 无线传感器网络的用户接入认证系统V1.0, 登记号:2017SR523515,软著登字第2108799号,No.01974270,授权日期:2017/09/18
[8]. 陈英, 李磊(学,132031班), 杨丰玉, 段喜龙. 家用水表字符自动识别系统V1.0, 登记号:2017SR362397,软著登字第1947681号,No.01807402,授权日期:2017/07/11
[9]. 陈英,段喜龙,张晔. 虹膜生物特征密钥生成系统的演示实验V1.0, 登记号2015SR171570, 软著登字第1058656号,No.00803877,授权日期:2015/09/06