(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)
(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)