[1]  师黎,李俊俊,王松伟,王治忠.基于多元线性逆滤波器的视顶盖神经元集群亮度信息解码研究.科学技术与工程,2016,16(28):37-42.

[2]  师黎,孙朝奎,李晓媛.大鼠杏仁核在条件性恐惧视觉建立过程中的集群编码研究.科学技术与工程,2016,16(24):121-126.

[3]  刘新玉, 海鑫, 尚志刚, 万红. 利用粒子滤波重建位置细胞编码的运动轨迹. 生物化学与生物物理进展, 2016, 43(8): 817~826 (SCI)

[4]  万红, 杨会, 刘新玉, 尚志刚. 运动意图的偏最小二乘解码研究. 生物医学工程学杂志, 2016, 33(4): 626~630 (EI)

[5]  万红, 张超, 刘新玉, 尚志刚. 波形特征的高斯混合模型锋电位分类算法. 中国生物医学工程学报, 2016, 35(4): 402~410

[6]   李晓媛, 恐惧情绪形成过程皮层下通路神经信息表征研究. 河南省,郑州大学,2016-09-28.

[7]  李娅,李蒙蒙,张勇,程敬亮,尚志刚,卜春晓.磁共振图像的纹理分析在儿童常见后颅窝肿瘤鉴别诊断中的应用[J].中华医学杂志,2016,96(23):1853-1855.

[8]  李晓媛. 大鼠皮层下视通路条件性恐惧视觉信息处理机制研究[D].郑州大学,2016.

[9]  Wang S, Liu L, Wang Z, Niu X, Hu Y, Shi L. Luminance information decoding on the basis of local field potential signals of pigeon optic tectum neurons. Neuroreport. 2017 Nov 8;28(16):1036-1042.

[10]师黎,胡汉顶,王松伟.基于信鸽视顶盖神经集群响应的目标类别解码[J].科学技术与工程,2017,17(31):35-41.

[11]师黎,马山峰,王治忠.视顶盖神经元在不同颜色背景下的亮度解码[J].科学技术与工程,2017,17(29):27-32.

[12]胡玉霞,马留洋,张锐,李晓媛,师黎.基于遗传蜂群算法的运动想象BCI系统导联选择[J].计算机应用研究,2018,35(08):2374-2378.

[13] 董芳芳,尚志刚,刘新玉,万红.解码动物转向行为的ICA-小波特征提取方法[J].郑州大学学报(工学版),2017,38(03):39-43.

[14]Liu X, Wan H, Li S, Shang Z, Shi L. The role of nidopallium caudolaterale in the goal-directed behavior of pigeons. Behav Brain Res. 2017 May 30;326:112-120.

[15]李蒙蒙,尚志刚,李志辉.结合投影与近邻操作的支持向量快速筛选方法[J].郑州大学学报(工学版),2017,38(03):49-53.

[16]刘新玉,万红,陈雪美,尚志刚,师丽,李珊,陈艳,聂洁洁.鸽子海马区位置细胞及其空间响应特性分析[J].中国科学:生命科学,2017,47(03):292-304.

[17]尚志刚,董永慧,李蒙蒙,李志辉.基于偏最小二乘回归的鲁棒性特征选择与分类算法[J].计算机应用,2017,37(03):871-875.

[18] Hu Y, Zhang L, Chen M, Li X, Shi L. How Electroencephalogram Reference Influences the Movement Readiness Potential? Front Neurosci. 2017 Dec 11;11:683.

[19] 师黎,陶梦妍,李志辉.鸽子强化学习过程中内部学习状态的动态建模研究.科学技术与工程,2017,17(13):120-125.

[20]Wang Z, Jiao X, Wang S, Niu X, Shi L. Natural image reconstruction on the basis of local field potential signals of pigeon optic tectum neurons. Neuroreport. 2018 Sep 5;29(13):1092-1098.

[21]牛晓可,王治忠.智能控制研究生课程混合式教学模式探索[J].科技创新导报,2018,15(30):137-140.

[22]王松伟,黄淑漫,师丽,王梦珂.鸽视顶盖快速显著感知编码模型研究[J].系统仿真学报,2018,30(11):4086-4099.

[23]李军锋,徐华兴,夏日升,颜永红.基于听觉感知特性的双耳音频处理技术[J].应用声学,2018,37(05):706-716.

[24]Yan Chen, Xinyu Liu, Shan Li, Hong Wan. Decoding pigeon behavior outcomes using functional connections among local field potentials. Computational Intelligence & Neuroscience, 2018, 1-13. (SCI收录，IF：1.649，中科院Q3，JCR Q2)2018.2出版，Hindawi

[25]逯鹏,张利朋,胡玉霞,陈书立,李新建.基于脑电图的三分类前臂运动方向解析[J].郑州大学学报(工学版),2018,39(06):93-96.

[26]逯鹏,牛新,刘素杰,胡玉霞,胡航航.运动准备电位单次检测技术研究[J].郑州大学学报(工学版),2018,39(04):70-74.

[27]尚志刚,李志辉.学习本质的哲学思考与脑科学启示[J].华夏教师,2018(19):94-95.

[28]逯鹏,谢全威,李新建,胡玉霞,张景景,刘豪杰.基于运动观察EEG的运动方向解析[J].计算机应用研究,2018,35(11):3318-3321.

[29]李珊, 刘新玉, 陈艳, 万红. 神经元功能网络的度量及性能分析. 生物医学工程学杂志. 2018, 35(2), 258-265. （EI收录）2018.3出版，华西医学期刊出版社

[30] 陈书立,李新建,胡玉霞,逯鹏,张锐.互信息引导下的前向搜索脑—机接口导联选择算法[J].计算机应用研究,2018,35(04):1080-1083+1087.

[31]Xinyu Liu, Kun Zhao, Wang Dongyun, Yanna Ping, Hong Wan. Goal-directed behavior elevates gamma oscillations in nidopallium caudolaterale of pigeon. Brain Research Bulletin, 2018, 137: 10~16. (SCI收录，IF：3.44，中科院Q3，JCR Q2) 2018.3出版，Elsevier

[32]万红, 刘录, 赵坤, 刘新玉. 基于relieff算法与偏最小二乘方法的鸽子转向运动解码. 科学技术与工程, 2018, 18(7), 96-100.

[33]万红, 钱锐. 模糊c-均值聚类引导的kinect深度图像修复算法. 计算机应用研究, 2019, 36(5), 1564-1568.

[34]Kun Zhao, Jiejie Nie, Lifang Yang, Xinyu Liu, Zhigang Shang*, Hong Wan*. Hippocampus-nidopallium caudolaterale interactions exist in the goal-directed behavior of pigeon[J]. Brain Research Bulletin, 2019, 153:257-265. （SCI收录，IF：3.103，中科院Q3，JCR Q2）2019.11出版，Elsevier

[35]Mengmeng Li, Zhigang Shang*, Zhongliang Yang, Yang, Yong Zhang Hong Wan*. Machine Learning Methods for MRI Biomarkers Analysis of Pediatric Posterior Fossa Tumors. Biocybernetics and Biomedical Engineering. 2019, 39(3):765-774. （SCI收录，IF：2.537，中科院Q4，JCR Q2）2019.7出版，Elsevier

[36]尚志刚, 王力, 李蒙蒙, 等. 引入迷失探索与集群分裂机制的改进鸽群优化算法[J]. 郑州大学学报(工学版), 2019, 40(4):25-31.（中文核心收录）

[37] Kun Zhao, Hong Wan, Zhigang Shang, Xinyu Liu. Intracortical microstimulation parameters modulate flight behavior in pigeon. Journal of Integrative Neuroscience 2019, 18(1):23-32 （SCI收录，IF：1.193，中科院Q4，JCR Q4）2019.4出版，IMR Press

[38]Zhigang Shang, You Liang, Mengmeng Li, Kun Zhao, Lifang Yang, Hong Wan*. Sequential neural information processing in nidopallium caudolaterale of pigeons during the acquisition process of operant conditioning. NeuroReport, 2019, 30(14):966-973.（SCI收录，IF：1.146，中科院Q4，JCR Q4）2019.9出版，Lippincott Williams and Wilkins Ltd.

[39]Wang S, Wang M, Wang Z, Shi L. First spike latency of ON/OFF neurons in the optic tectum of pigeons. Integr Zool. 2019 Sep;14(5):479-493.

[40]潘世豪,窦站,李杨,师丽.基于图模型的储罐区火灾事故多米诺效应评定.中国安全科学学报,2019,29(06):83-89.

[41]Zhihui Li, Li Shi, Caitong Yue, Zhigang Shang*, Boyang Qu. Differential evolution based on reinforcement learning with fitness ranking for solving multimodal multiobjective problems, Swarm and Evolutionary Computation, 2019, 49, 234-244. （SCI收录，IF：6.912，中科院Q1，JCR Q1）2019.9出版，Elsevier

[42]王松伟,张涛,师丽.信鸽视顶盖中间层ON-OFF神经元在空间统一白噪声刺激下的编码.科学技术与工程,2019,19(03):55-61.

[43]Wang Zhizhong,Li Hongyi,Han Chuang,Wang Songwei,Shi Li. Arrhythmia Classification Based on Multiple Features Fusion and Random Forest Using ECG[J]. Journal of Medical Imaging and Health Informatics,2019,9(8).

[44]Xuyang Zhu,Peiyang Li,Cunbo Li,Dezhong Yao,Rui Zhang,Peng Xu. Separated channel convolutional neural network to realize the training free motor imagery BCI systems[J]. Biomedical Signal Processing and Control,2019,49.

[45]Mengmeng Li,Zhigang Shang,Zhongliang Yang,Yong Zhang,Hong Wan. Machine learning methods for MRI biomarkers analysis of pediatric posterior fossa tumors[J]. Biocybernetics and Biomedical Engineering,2019,39(3).

[46]Hongyan Dui,Ceng Li,Liwei Chen. Reliability-oriented extended importance measures in uncertain inventory systems for mechanical products[J]. Advances in Mechanical Engineering,2019,11(2).

[47]Hongyan Dui, Liwei Chen, Jinchao Li.Importance analysis in two kinds of redundant systems: k-out-of-n and consecutive k-out-of-n: F systems.Advances in Mechanical Engineering,2019,11(1).

[48]陈书立,焦兴洋,王治忠,王松伟.基于鸽局部场电位信号的数字字符图像重建研究[J].中国生物医学工程学报,2019,38(04):417-423.

[49] Renping Yu,Lishan Qiao,Mingming Chen,Seong-Whan Lee,Xuan Fei,Dinggang Shen. Weighted Graph Regularized Sparse Brain Network Construction for MCI Identification[J]. Pattern Recognition,2019.

[50]李晓媛,周星,武鹏,刘强,王振龙.大鼠恐惧应激模型的建立及其视觉认知效果分析[J].中国实验动物学报,2019,27(01):19-24.

[51]R. Zhang ;Xianpeng Li; Yinwang Wang; Bo Liu; Li Shi; Mingming Chen; Lipeng Zhang,;Yuxia Hu. "Using Brain Network Features to Increase the Classification Accuracy of MI-BCI Inefficiency Subject," in IEEE Access, vol. 7, pp. 74490-74499, 2019.

[52]Zhang Rui,Bringas Vega Maria L.,Nunez Paul,Riera Jorge,Valdes Sosa Pedro A.. Editorial: Through a Glass, Darkly: The Influence of the EEG Reference on Inference About Brain Function and Disorders[J]. Frontiers in Neuroscience,2019.

[53]胡一凡,周怡君,杨莉芳,李蒙蒙,尚志刚.家鸽不同状态下脑电节律特异性分析[J].动物学杂志,2019,54(06):860-866.

[54]Han C, Shi L. Automated interpretable detection of myocardial infarction fusing energy entropy and morphological features. Comput Methods Programs Biomed. 2019 Jul;175:9-23.

[55]李晓媛,刘允,司红玉,武鹏,王振龙.大鼠基底外侧杏仁核对恐惧视觉信息的编码分析[J].科学技术与工程,2020,20(17):6760-6767.

[56]余仁萍,陈明明,费选.新工科背景下复变函数与积分变换教学改革探索[J].教育现代化,2020,7(49):34-36.

[57]Han C, Shi L. ML-ResNet: A novel network to detect and locate myocardial infarction using 12 leads ECG. Comput Methods Programs Biomed. 2020 Mar;185:105138.

[58]陈明明,余仁萍,张锐.“医学成像技术”课程教学改革探究[J].教育教学论坛,2020(20):203-204.

[59]王松伟,赵秋阳,王宇航,饶小平.基于深度学习的脑片图像区域划分方法[J].计算机应用,2020,40(04):1202-1208.

[60]Wang J, Niu X, Wang S, Wang Z, Shi L. Entrainment within neuronal response in optic tectum of pigeon to video displays. J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 2020 Nov;206(6):845-855.

[61]牛晓可,黄伊鑫,徐华兴,蒋震阳.基于听皮层神经元感受野的强噪声环境下说话人识别[J].计算机应用,2020,40(10):3034-3040.

[62]Niu X, Huang S, Yang S, Wang Z, Li Z, Shi L. Comparison of pop-out responses to luminance and motion contrasting stimuli of tectal neurons in pigeons. Brain Res. 2020 Nov 15;1747:147068.

[63]王治忠,钱龙龙,韩闯,师丽.基于统计特征和熵特征融合的心肌梗死辅助诊断方法.计算机应用,2020,40(02):608-615.

[64]尚志刚,沈晓阳,李蒙蒙,等.基于格兰杰因果的效应性连接分析方法综述[J].郑州大学学报(工学版),2020,41(3):1-7.

[65]Mengmeng Li, Haofeng Wang, Lifang Yang, You Liang, Zhigang Shang*, Hong Wan*. Fast hybrid dimensionality reduction approach for classification based on feature selection and grouped feature extraction. Expert Systems With Applications, 2020, 150: 113277. （SCI收录，IF：5.452，中科院Q2，JCR Q1）2020.2出版，Elsevier

[66]万红,李蒙蒙,王昊锋,岳彩通,王力,尚志刚.多目标优化在特征选择子集评价中的应用[J].计算机应用研究,2020,37(08):2320-2323+2337.

[67]王治忠,闫文明,王松伟.基于鸽子视顶盖神经元响应对不同颜色背景字符图像的重建研究[J].计算机应用研究,2020,37(01):308-312.

[68]Lifang Yang, Mengmeng Li, Long Yang, Haofeng Wang, Hong Wan, Zhigang Shang*. Functional connectivity changes in the intra- and inter-brain during the construction of the multi-brain network of pigeons. Brain Research Bulletin, 2020, 161:147-157. （SCI收录，IF：3.103，中科院Q3，JCR Q2）2020.4出版，Elsevier

[69]王治忠,李泓毅,韩闯.基于香农能量与自适应阈值的心电QRS复合波检测算法[J].计算机应用,2020,40(01):304-310.

[70]Mengmeng Li, You Liang, Lifang Yang, Haofeng Wang, Zhongliang Yang, Kun Zhao, Zhigang Shang*, Hong Wan*. Automatic bad channel detection in implantable brain-computer interfaces using multimodal features based on local field potentials and spike signals. Computers in Biology and Medicine. 2020, 39(3):765-774.（SCI收录，IF：3.434，中科院Q3，JCR Q1）2019.12出版，Elsevier

[71]赵宇平,李楠,闫朋宣,毛晓波,高金峰,尚志刚,黄璐琦.中医药人工智能现状研究及发展思考[J].中国中西医结合杂志,2020,40(06):746-749.

[72]Mengmeng Li, Haofeng Wang, Zhigang Shang*, Zhongliang Yang, Yong Zhang, Hong Wan*. Ependymoma and Pilocytic Astrocytoma: Differentiation Using Radiomics Approach Based on Machine Learning. Journal of Clinical Neuroscience, 2020, 78: 175-180. （SCI收录，IF：1.76，中科院Q4，JCR Q3）2020.4出版，Elsevier

[73]周怡君, 胡一凡, 李蒙蒙, 杨莉芳, 尚志刚*. 联合主成分分析-小波与整体平均经验模态分解的锋电位去噪方法[J]. 生物医学工程学杂志, 2020, 37(2):271-279.（EI收录）2020.3出版，华西医学期刊出版社

[74]Liwei Chen,Hongyan Dui,Chi Zhang. A resilience measure for supply chain systems considering the interruption with the cyber-physical systems[J]. Reliability Engineering and System Safety,2020,199.

[75]费选,余仁萍,赵玉娟.工程教育认证背景下Linux课程体系建设与教学改革研究[J].教育教学论坛,2020(20):194-196.

[76]X. Zhao, C. Liu, Z. Xu, L. Zhang and R. Zhang, "SSVEP Stimulus Layout Effect on Accuracy of Brain-Computer Interfaces in Augmented Reality Glasses," in IEEE Access, vol. 8, pp. 5990-5998, 2020.

[77]李晓媛,武鹏,刘允,司红玉,王振龙.基于人脸视频的心率参数提取[J].光学精密工程,2020,28(03):548-557.

[78]Zheng Ning,Wang Zhi-Zhong,Wang Song-Wei,Yang Fang-Jia,Zhu Xu-Tao,Lu Chen,Manyande Anne,Rao Xiao-Ping,Xu Fu-Qiang. Co-localization of two-color rAAV2-retro confirms the dispersion characteristics of efferent projections of mitral cells in mouse accessory olfactory bulb.[J]. Zoological research,2020,41(2).

[79]李晓媛,刘强,司红玉,刘允,刘登辉,王振龙.基于自然图像认知的大鼠上丘神经元恐惧信息编码机制[J].科学技术与工程,2020,20(22):8909-8915.

[80] ChuangHan, LiShi.ML–ResNet: a novel network to detect and locate myocardial infarction using 12 leads ECG,Computer methods and programs in biomedicine,2020,185:1-10.

[81] 王治忠,庞晨.基于鸽视顶盖神经元动作电位的图像重建[J].计算机应用,2020,40(03):832-836.

[82]Zhang Rui,Zhang Lipeng,Guo Yongkun,Shi Li,Gao Jinfeng,Wang Xinjun,Hu Yuxia. Effects of High-Definition Transcranial Direct-Current Stimulation on Resting-State Functional Connectivity in Patients With Disorders of Consciousness[J]. Frontiers in Human Neuroscience,2020.

[83]余仁萍,余海飞,万红.基于静息态功能磁共振成像的精神分裂症脑网络特征分类研究[J].生物医学工程学杂志,2020,37(04):661-669.

[84]Zhizhong Wang, Donghaisheng Liu, Yuehui Lei, Xiaoke Niu, Songwei Wang & Li Shi . Small target detection based on bird’s visual information processing mechanism. Multimed Tools Appl 79, 22083–22105 (2020).

[85]Sun Hong,Li Chuyi,Zhang Yifeng,Jiang Mengwan,Dong Qianqian,Wang Zhenlong. Light-resetting impact on behavior and the central circadian clock in two vole species (genus: Lasiopodomys).[J]. Comparative biochemistry and physiology. Part B, Biochemistry & molecular biology,2020,248-249.

[86]尚志刚,徐若灏,乔康加,杨莉芳,李蒙蒙.基于生成模型的Q-learning二分类算法[J].计算机应用研究,2020,37(11):3326-3329+3333.

[87]Zhizhong Wang,Longlong Qian,Chuang Han,Li Shi. Application of multi-feature fusion and random forests to the automated detection of myocardial infarction[J]. Cognitive Systems Research,2020,59.

[88]Chen Liwei,Kou Meng,Wang Songwei. On the Use of Importance Measures in the Reliability of Inventory Systems, Considering the Cost[J]. Applied Sciences,2020,10(21).

[89]杨中良,李蒙蒙,徐若灏,杨莉芳,尚志刚.一种融合各类最小主成分子空间的特征变换方法[J/OL].计算机应用研究:1-5[2021-03-18].