1.1 期刊论文

[1] 金都, 刘广忱, 孙博文等. 计及风电场的飞轮储能一次调频控制策略[J].储能科学与技术, 2024, 13 (6): 1911-1920. https://doi.org/10.19799/ j.cnki.2095-4239. 2024.0039.

[2] Aftab Ahmad, Basharat Ullah, Zahoor Ahmad, Guangchen Liu*, Muhammad Jawad. Performance Analysis of Tubular Moving Magnet Linear Oscillating Actuator for Linear Compressors [J]. Energies, MDPI, 2022, vol.15(9), pages 1-19, https://doi.org/10.3390/en15093224

[3] 杜洪刚, 刘广忱, 李阳, 王方胜. 基于DSP和AUKF的锂离子电池SOC估计[J].电源技术, 2022, 46(09): 1009-1012.

[4] Zhang*, H. Wang, G. Liu, G. Tian, M. Rivera, P. Wheeler. "Virtual Synchronous Generator Control Strategy of Grid-Forming Matrix Converter for Renewable Power Generation," IEEE Access, 2024(12): 106672-106684.

[5] 张建伟*，喻研，温素芳，田桂珍，刘广忱. "飞轮储能系统含参数辨识的双矢量交替顺序模型预测控制, " 太阳能学报，2024, 已录用.

[6] J. Zhang*, Y. Wang, G. Liu, G. Tian. "A Review of Control Strategies for Flywheel Energy Storage System and a Case Study with Matrix Converter," Energy Reports, 2022(8): 3948-3963.

[7] 张建伟*，曹乔森，常海宸，田桂珍，刘广忱. "新能源汽车整流器的抗扰模型预测控制策略研究, " 太阳能学报，2024, 45(01): 545-551.

[8] 张建伟*，祁国龙，杨再欣，刘广忱. "永磁同步电机的改进自抗扰控制策略研究, " 电力电子技术，2024，已录用.

[9] 张建伟*，王云辉，田桂珍，刘广忱. "矩阵变换器的间接模型预测控制策略, " 电力电子技术，2023，57(10)：123-126.

[10] 王云辉，张建伟*，田桂珍，刘广忱. "基于矩阵变换器的飞轮储能模型预测控制策略," 电气工程学报, 2024，19(02): 26-33. （一作为所指导的学生）

[11] 曹乔森，张建伟*，田桂珍，刘广忱. "基于直接转矩控制的双矢量直接电压模型预测控制策略," 电气工程学报, 2024，2024，19(02): 92-99.（一作为所指导的学生）

[12] 张建伟*，杨再欣，王云辉，刘广忱. "基于EKF参数辨识的矩阵变换器间接模型预测控制”电气传动，2024，已录用.

[13] Paul Takyi Aninakwa, Shunli Wang*, Hongying Zhang, Xiaoyong Yang, Carlos Fernandez. An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries. Applied Energy 2022.vol.326, pp1-13 (SCI-1[IF: 11.446]; Top; ESI; EI)

[14] Shunli Wang*, Haiying Gao, Paul Takyi-Aninakwa, Josep M. Guerrero, Carlos Fernandez, Qi Huang. Improved multiple feature-electrochemical thermal circuitry modeling of lithium-ion batteries at low-temperature with real-time coefficient correction. Protection and Control of Modern Power Systems 2024; 9(3): 157-173. (SCI-1[IF: 11]; Top; EI)

[15] Shunli Wang*, Daniel-Ioan Stroe, Carlos Fernandez, Xiong Liying, Yongcun Fan, Wen Cao. A novel power state evaluation method for the lithium battery packs based on the improved external measurable parameter coupling model. Journal of Cleaner Production 2020; 242: 1-13. (SCI-1[IF: 11.072]; Top; EI)

[16] Yanxin Xie, Shunli Wang*, Gexiang Zhang, Yongcun Fan, Frede Blaabjerg. Optimized multi-hidden layer long short-term memory modeling and suboptimal fading extended Kalman filtering strategies for the synthetic state of charge estimation of lithium-ion batteries. Applied Energy 2023.vol.336, pp1-14 (SCI-1[IF: 11.446]; Top; ESI; EI)

[17] Xin Zhang, and Yanfang Gao*. Molybdenum Disulfide Nanozymes for Colorimetric Determination of Hydrogen Peroxide[J]. Chinese journal of analytical chemistry, 2022, 50(10): 1491-1501.

[18] Liu Juyin, Bao Jiali, Zhang Xin, Gao Yanfang,* Zhang Yao, Liu Ling,* Cao Zhenzhu. MnO2-based materials for supercapacitor electrodes: challenges, strategies and prospects[J]. RSC Advances, 2022, 12 (55): 35556-35578.

[19] Dong Yuanxing; Xing Li; Li Xiaofeng; Gao Yanfang,* Cao Zhenzhu, Liu Jinrong. A membrane-less molten hydroxide direct carbon fuel cell with fuel continuously supplied at low temperatures: A modeling and experimental study[J]. Applied Energy, 2022, 324: 119585.

[20] Zhang Xin, Wang Siqin, Dao Jiahao, Guo Jiajing, Gao Yanfang. A colorimetric sensing platform for the determination of H2O2 using 2D-1D MoS2-CNT nanozymes[J]. RSC Advances, 2022, 12 (44): 28349-28358.

[21] Liu Juyin, Ma Dongni, Zhang Xin, Li Lijun, Liu Ling*, Gao Yanfang,* Cao Zhenzhu. Degraded chitosan hydrogel-derived N, O self-doped hierarchical porous carbon as electrode material for symmetric supercapacitor[J]. IONIC, 2023, 29 (3): 1173-1185.

[22] Xiaoqi Zhao, Yingxiao Li, Xue Zhang, Yanfang Gao*, Ling Liu*. Fe2O3/Fe/Fe-N multidimensional cross-linked composite enhancing oxygen reduction reaction of al-air batteries: Oxygen vacancies and bandgap engineering.[J]. Applied Surface Science, 2023, 638: 158050.

[23] Guo Zhenkai, Ren Xu, Li Lijun*, He Ridong*, and Gao Yanfang. Hierarchical Porous Electrode Impedance Model Based on Diffusion Dynamics and the Electrode Morphology and Prediction of Electric Double-Layer Structures[J]. ACS Applied Energy Materials, 2023, 6(1): 508-518.

[24] Wang Zhiwei, Guo Zihan, Gao Yanfang*, Wang Dong, Cui Xiaoming. Stable Mo/1T-MoS2 Monolith Catalyst with a Metallic Interface for Large Current Water Splitting[J]. ACS Applied Materials & Interfaces , 2023, 15(11): 14206-14214.

[25] Xiaoqi Zhao, Xue Zhang, Yingxiao Li, Ling Liu* and Yanfang Gao*. ZIF-L-derived autocatalytic growth of Fe, N co-doped carbon nanotubes to form a hierarchical porous structure as an efficient oxygen reduction and oxygen evolution catalyst for Zn–air batteries[J]. New Journal of Chemistry, 2023,47, 19569-19577.

[26] Juyin Liu, Xiaoze Ren, Yanfang Gao*, Ling Liu*. Ammonium ion intercalation and oxygen-rich vacancies in birnessite-type MnO2 for supercapacitors and oxygen evolution applications[J]. New Journal of Chemistry, 2024, 48(30): 13413-13427.

[27] Xiaoqi Zhao, Zhenxu Hao, Xue Zhang, Lijun Li, Yanfang Gao,* and Ling Liu. Alkaline oxygen reduction/evolution reaction electrocatalysis: A critical review focus on orbital structure, non-noble metal catalysts, and descriptors[J]. Chemical Engineering Journal, 2024, (Accpet)

[28] Dong Wang, Zihan Guo, Zhiwei Wang and Yanfang Gao*. Ultrafine VN quantum dots modified with a nitrogen-doped reduced graphene oxide anode material for enhanced rate capability and lifespan of lithium-ion batteries[J]. New Journal of Chemistry, 2024, 48(18): 8454-8463.

[29] Dong Wang, Zihan Guo, Zhiwei Wang and Yanfang Gao. Ultrafine VN quantum nanodots anchored in three-dimensional porous N-doped carbon with excellent pseudocapacitive behaviour for high rate lithium-ion batteries[J]. New Journal of Chemistry, 2024, (Accpet)

[30] Zhiwei Wang, Xin Zhang*, Yanfang Gao*, Hong Wang. Transition metal (Fe, Co, Ni) doping enhanced monolith catalysts of 1T-MoS2/Mo for the large-current hydrogen evolution reaction. International Journal of Hydrogen Energy, 2024, 56: 75-83.

[31] Jiahe Wang, Jia Zhang, Hang Xu, Yao Zhang,* and Yanfang Gao. Ce doped UiO-66(Hf) electrolyte for all-solid-state lithium metal batteries[J]. Applied Surface Science, 2024, 660: 159979

[32] Chunmei Wang, Pengfei Shi, Hao Zhang, Yao Zhang,* and Yanfang Gao. TpDa-Li COFs-based solid-state electrolyte for all solid lithium metal batteries[J]. International Journal of Hydrogen Energy, 2024, 73: 443-450

[33] Hao Zhang, Zhiyuan Zhou, Xinyao Sun, Yao Zhang,* and Yanfang Gao.Metal organic framework MOF-74 based solid-state electrolytes for all-solid-state sodium metal batteries[J]. Journal of Solid State Chemistry, 2024, 334: 124643

[34] 周志远, 王春梅, 张 嘉, 孙鑫垚, 张 瑶,* 丁大千, 高艳芳. MOFs基固体电解质在钠离子电池中的应用进展[J]. 化工新型材料, 2024, 52(5): 21-26.

[35] Chunmei Wang, Jia Zhang, Pengfei Shi, Zhiyuan Zhou, Yao Zhang* and Yanfang Gao. Metal organic framework MOF-808-based solid-state electrolytes for lithium-ion batteries[J]. New Journal of Chemistry, 2023, 47: 14114–14117.

[36] Yao Zhang, Chunmei Wang, Xinyao Sun, Yuanyuan Gao, Yanfang Gao. Dual metal ions adjustable nickel and cobalt oxide nanosheets for asymmetric supercapacitors[J]. Chinese Journal of Inorganic Chemistry, 2023, 39(12): 2415‐2424.

[37] 王春梅, 周志远, 张瑶,* 高艳芳. 新型锂离子固体电解质应用进展[J]. 功能材料. 2023, 5(54): 5038-5046.

[38] Jia Zhang, Yao Zhang,* Zhiyuan Zhou and Yanfang Gao*.Hf-based UiO-66-type solid electrolytes for all-solid-state lithium batteries[J]. New Journal of Chemistry, 2022, 46: 8779–8785.

[39] 郭佳靖, 高艳芳, 张欣.* CeO2纳米酶活性与抗菌性能研究进展[J]. 化学试剂, 2022, 44(9):1249-1256.

[40] Ridong He,* Ling Liu, Zhanjie Zhu, GuoJun Ji, and Yanfang Gao.The Effect of Surfactants on Double-Layer Capacitance Induced by Electric Fields[J]. ACS Applied Energy Materials,2024, 7, 15, 6839–6844.

[41] 格格塔娜 , 贺日东,* 冀国俊. 柔性抗冻水凝胶电解质的快速制备与性能研究[J]. 功能材料, 2024, 55(6): 6202-6211.

[42] Xiangru Hou, Lu Ga, Xin Zhang*, Jun Ai*. Advances in the application of logic gates in nanozymes[J]. Analytical and Bioanalytical Chemistry, 2024, (Accpet).

[43] 白明明，贾美美*，徐赫阳，李冰. 新忆阻神经元混沌系统的混沌控制[J]. 内蒙古工业大学学报，2023，42（1）：58-64.

[44] 陈大全，贾美美*，李娜. 基于新耦合Duffing振子系统的微弱信号检测[J]. 内蒙古工业大学学报，2022，41（2）：150-158.

[45] 李苹，贾美美*，白明明，白明宇. 无平衡点的新型忆阻耦合超混沌系统[J]. 内蒙古工业大学学报，2022，41（1）：69-79.

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[47] Pengfei Ma, Chaoyi Dong*, Ruijing Lin, Huanzi Liu, Dongyang Lei, Xiaoyan Chen, Huan Liu, A Brain Functional Network Feature Extraction Method Based on Directed Transfer Function and Graph Theory for MI-BCI Decoding Tasks, 2024, Frontiers in Neuroscience 18:1306283（SCI 检索号: 001196340800001，IF:5.15，SCI二区，JCR Q2区，Top Journal）

[48] Lin, Ruijing, Dong, Chaoyi*, Ma, Zhou, Peng, Pengfei, Ma, Shuang, Chen, Xiaoyan, Liu, Huanzi (2024). "Motor imagery EEG task recognition using a nonlinear Granger causality feature extraction and an improved Salp swarm feature selection." Biomedical Signal Processing and Control 88: 105626.( SCI检索号:001093208300001, EI检索号: 20234314958135, IF:5.1, SCI二区，JCR Q2区)

[49] Zan, Weidong, Dong, Chaoyi*, Zhang, Zhiming, Chen, Xiaoyan, Zhao, Jianfei, Hao, fu(2023)."Defect Identification of Power Line Insulators Based on a MobileViT-Yolo Deep Learning Algorithm" IEEJ Transactions on Electrical and Electronic Engineering 18(8):1271-1279. ( SCI检索号: 000982044200001 , EI检索号: 20231914063079, IF:0.923, SCI四区，JCR Q4区，T3区)

[50] Ma, Pengfei, Dong, Chaoyi*, Lin, Ruijing, Ma, Shuang, Jia, Tingting, Liu, Huanzi, Lei, Dongyang, Chen, Xiaoyan (2023). "Effect of Local Network Characteristics on the Performance of the SSVEP Brain-Computer Interface." Innovation and Research in BioMedical engineering (IRBM) 44(4): 100781.( SCI检索号:000983468200001, EI检索号:, IF:5.5, SCI三区，JCR Q2区)

[51] Lin, Ruijing, Dong, Chaoyi*, Ma, Pengfei, Ma, Shuang, Chen, Xiaoyan, Liu, Huanzi (2022)."A Fused Multidimensional EEG Classification Method Based on an Extreme Tree Feature Selection" Computational intelligence and neuroscience 2022:7609196. ( SCI检索号:000873231800021 , EI检索号: 20223512639247, IF:3.12, SCI三区，JCR Q2区)

[52] Ma, Pengfei, Dong, Chaoyi*, Lin, Ruijing, Ma, Shuang, Jia, Tingting, Chen, Xiaoyan, Xiao, Zhiyun, Qi, Yongsheng (2022). "A classification algorithm of an SSVEP brain-Computer interface based on CCA fusion wavelet coefficients." Journal of Neuroscience Methods 371: 109502. （10.1016/j.jneumeth.2022.109502, SCI 检索号: WOS:000784337600001，IF:2.987，SCI四区，JCR Q3区）

[53] Ma, Shuang, Dong, Chaoyi*, Jia, Tingting, Ma, Pengfei, Xiao, Zhiyun, Chen, Xiaoyan, Zhang, Lijie (2022). "A Feature Extraction Algorithm of Brain Network of Motor Imagination Based on a Directed Transfer Function" Computational intelligence and neuroscience 2022: 4496992. (10.1155/2022/4496992, SCI 检索号:WOS:000774621700005，EI 检索号:20221211819852，IF:3.120，SCI三区，JCR Q2区）

[54] Gao, L., Dong, C., Liu, X., Ye, Q., Zhang, K., and Chen X. (2022). "A 2D Laser SLAM Graph Optimization Based On A Position And Angle Partition And Cholesky Decomposition." Journal of Applied Science and Engineering 26(9): 1255-1262. DOI: 10.6180/jase.202309_26(9).0006（EI检索号：20230213377518）

[55] 周鹏，董朝轶*，陈晓艳，赵肖懿，王启来.（2023）“基于Tent混沌和透镜成像学习策略的平衡优化器算法”，控制与决策，2023，38 (6)，1569-1576（EI检索号：20232314196044，中文核心，T2区）

[56] Pang Chunlin, Wu Haitao∗, Jia Boyuan."A multi-mode coordinate doperation control strategy for optical storage DC microgrid." Energy Reports, 9(2023): 230-235.

[57] Haitao Wu∗, Yunbin Li, Zhihe Wang."A novel low-voltage current-limiting control strategy with improved voltage compensation." Energy Reports, 9(2023): 847-855.

[58] 武海涛*，庞春林，张宁宁.“兼顾提升功率分配精度与抑制电压偏差的自适应下垂控制”，电力系统保护与控制，2024，52（4）：109-120

[59] 武海涛，张宁宁，曹志轩，温素芳，李磊 ，李会珍. “弱电网下光伏并网系统锁相环参数自适应控制”，电网与清洁能源，2024,40（1）：52-61

[60] 寇志伟,靳乐乐,齐咏生,等.基于随机森林的风机状态分类算法研究[J/OL].计算机仿真,1-7 [2024-08-22].

[61] 高金喆,寇志伟,孔哲,等.基于激光雷达的牧场巡检机器人定位与建图算法设计[J].中国农机化学报, 2024,45(04):222-230.

[62] 高金喆,寇志伟,许寒琪,等.基于改进鱼群算法的牧场巡检机器人路径规划研究[J/OL].中国农机化学报,1-8[2024-07-25].

[63] Qin C, Zhu X, Zhu P, Lin W, Liu L, Che C, Liang H, Hua H. Partial Discharge Signal Pattern Recognition of Composite Insulation Defects in Cross-Linked Polyethylene Cables. Sensors (Basel). 2024 May 27;24(11):3460.

[64] Qin, C.; Huang, Y.; Liu, L.; Liang, H.; Shang, J.; Xue, Y. Study on Power Frequency Breakdown Characteristics of Nano-TiO2 Modified Transformer Oil under Severe Cold Conditions. Appl. Sci. 2023, 13, 9656.

[65] Zhang Na*，Ren Qiang，Liu Guangchen，et al．Short-term PV Output Power Forecasting Based on CEEMDAN-AE-GRU， Journal of Electrical Engineering & Technology， 2022， 17(1)：1183-1194．

[66] 陈骏嚎，张娜*，刘广忱，等.基于EOSSA-ELM的光伏短期输出功率预测[J].可再生能源，2022，40(07)：890-898.

[67] 张娜*，任强，刘广忱，等.基于VMD-GWO-ELMAN的光伏功率短期预测方法[J].中国电力，2022，55(05)：57-65.

[68] Zhang Na*，Wang Shouxiang，Liu Guang-Chen，et al．All-factor short-term phot ovoltaic output power forecast， IET Renewable Power Generation，2021，1(1)：1752-1416．

[69] 张娜*，葛磊蛟．基于SOA优化的光伏短期出力区间组合预测， 太阳能学报， 2021， 42(5)：252-259.

[70] 栾浩天,齐咏生*,刘利强,等.VanillaFaceNet：一种高精度快速推理的牛脸识别方法[J].农业工程学报,2024,40(18):120-131.

[71] 贾舜宇,齐咏生*,魏淑娟,等.基于RF与D-S证据理论融合的多通道齿轮箱复合故障诊断[J].振动与冲击,2024,43(13):115-125.DOI:10.13465/j.cnki.jvs.2024.13.013.

[72] 阴国华,齐咏生*,刘利强,等.基于Ghost-TiFPN的轻量化快速目标跟踪算法[J].兵工学报,2024,45(05):1703-1716.

[73] 齐咏生*,陈培亮,高学金,等.高精度实时语义分割算法框架:多通道深度加权聚合网络[J].控制与决策,2024,39(05):1450-1460.DOI:10.13195/j.kzyjc.2022.1699.

[74] 袁国帅,齐咏生*,刘利强,等.一种基于因子图消元优化的激光雷达视觉惯性融合SLAM方法[J].电子学报,2023,51(11):3042-3052.

[75] 齐咏生*,焦杰,鲍腾飞,等.基于自适应注意力机制的复杂场景下牛脸检测算法[J].农业工程学报,2023,39(14):173-183.

[76] 李东泽,齐咏生*,刘利强.基于LSTM-ATTENTION融合神经网络的光伏功率预测[J].内蒙古工业大学学报(自然科学版),2023,42(04):350-354+384.DOI:10.13785/j.cnki.nmggydxxbzrkxb.2023.04.007.

[77] 齐咏生*,巩育瑞,高胜利,等.基于中心损失-改进卷积自编码器的滚动轴承半监督故障诊断[J].振动与冲击,2023,42(07):301-311.DOI:10.13465/j.cnki.jvs.2023.07.035.

[78] 齐咏*生,杜晓旭,朱俊峰,等.基于增强型轻量深度网络的牧区牲畜高效检测[J].计算机工程,2023,49(07):278-287.DOI:10.19678/j.issn.1000-3428.0064802.

[79] 齐咏生*,单成成,贾舜宇,等.一种基于增强型最大二阶循环平稳盲解卷积的齿轮箱复合故障诊断[J].中国机械工程,2022,33(24):2927-2941+2952.

[80] 齐咏生*,白宇,高胜利,等.基于改进的数据融合滚动轴承故障诊断[J].铁道学报,2022,44(10):24-32.

[81] 齐咏生*,单成成,高胜利,等.基于AEWT-KELM的风电机组轴承故障诊断策略[J].太阳能学报,2022,43(08):281-291.DOI:10.19912/j.0254-0096.tynxb.2020-1321.

[82] 齐咏生*,姚辰武,刘利强,等.基于信息融合描述子的机器人复杂场景位姿估计算法[J].农业机械学报,2022,53(10):293-305.

[83] 单成成,齐咏生*,高胜利,等.基于信息图与MK-MOMEDA的齿轮箱复合故障诊断[J].控制工程,2022,29(10):1907-1915.DOI:10.14107/j.cnki.kzgc.cpcc2020-157.