(1) Zhigang Yan#*, Jiazheng Han; Jieqing Yu; Yuanxuan Yang, Water inrush sources monitoring and identification based on mine IoT, CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2018, 10, DOI: https://doi.org/10.1002/cpe.4843, (SCI)
(2) Zhigang Yan#*, Kan Yao, Yuanxuan Yang, A novel adaptive differential evolution SVM model for predicting coal and gas outbursts, JOURNAL OF DIFFERENCE EQUATIONS AND APPLICATIONS, 2017, 23(1-2): 238~248, (SCI)
(3) Zhigang Yan#*, Yuanxuan Yang, and Songnian Li, A Novel Intelligent Computational Model for Analyzing and Predicting Coal Mine Water Inrush, Journal of Computational and Theoretical Nanoscience, 2015, 12(12): 6172-6177,(EI)
(4) Zhigang Yan#*, Yuanxuan Yang, Performance Analysis and Coding Strategy of ECOC SVMs, International Journal of Grid and Distributed Computing, 2014, 7(1): 67-75,(EI)
(5) Yan Zhigang#*, Yang Yuanxuan, Yunjing Ding, An Experimental Study of the Hyper-parameters Distribution Region and Its Optimization Method for Support Vector Machine with Gaussian Kernel, International Journal of Signal Processing, Image Processing and Pattern Recognition, 2013, 6(5): 437-446,(EI)
(6)Zhigang Yan#*, Chengling, Cui, An Intelligent Model for Predicting the Damage Depth of Coal Seam Floor Based on LS-SVM Optimized by PSO, Journal of Applied Sciences, 2013,13(11):1954-1959,(EI)
(7)闫志刚#*, 杜培军, H-SVMs的构造方法, 东南大学学报(自然科学版), 2009, 39(S1): 204-209,(EI)
(8)闫志刚#*, 杜培军; 张海荣, 矿井突水信息处理的SVM-RS模型, 中国矿业大学学报, 2008.5.15, (03): 295-299,(EI)
(9)闫志刚#*, SVM及其在矿井突水信息处理中的应用研究, 岩石力学与工程学报, 2008, (1): 215-215
(10)闫志刚#*, 杜培军 , 郭达志, 矿井涌水水源分析的支持向量机模型, 煤炭学报，2007.8，32(8): 842-847,(EI)
(11)Yan, Zhi-Gang#*, Zhang Hai-Rong, Du Pei-Jun, Application of SVM in analyzing the headstream of gushing water in coal mine, Journal of China University of Mining and Technology, 2006, 12,16(4): 433-438,(EI)
(12) Zhigang YAN#*, Yuanxuan Yang, APPLICATION OF ECOC SVMS IN REMOTE SENSING IMAGE CLASSIFICATION, ISPRS Technical Commission II Midterm Symposium 2014, Toronto, ON, Canada, 2014.10.06-2014.10.08,(EI)
(13) Jing Ding , Zhigang Yan* and Xuchen We,High-Accuracy Recognition and Localization of Moving Targets in an Indoor Environment Using Binocular Stereo Vision[J],ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2021,10(4):234 DOI10.3390/ijgi10040234,(SCI)
(14) Jing Ding, Zhigang Yan*, Xuchen Wei, Xiaoshun Li, “Light-weight residual learning for single image dehazing,” J. Electron. Imaging 28(3), 033013 (2019), doi: 10.1117/1.JEI.28.3.033013.(SCI)