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[2] Zhiqiang Geng , Ning Chen, Yongming Han ∗, Bo Ma*. An improved intelligent early warning method based on MWSPCA and its application in complex chemical processes. The Canadian Journal of Chemical Engineering.
[3] Yongming Han, Rundong Zhou , Zhiqiang Geng* , Ju Bai , Bo Ma *, Jinzhen Fan. A novel data envelopment ****ysis cross-model integrating interpretative structural model and ****ytic hierarchy process for energy efficiency evaluation and optimization modeling: Application to Ethylene Industries。Journal of Cleaner Production 246 (2020): 118965
[4] Yongming Han, Shuheng Zhang, Zhiqiang Geng*, Qin Wei, Zhi Ouyang. Level Set based Shape Prior and Deep Learning for Image Segmentation[J]. IET Image Processing. 2020, 14(1): 183-191.
[5] Zhiqiang Geng , Guofei Chen, Yongming Han ∗, Fang Li, Gang Lu, Qing Wei*. Semantic relation extraction using sequential and tree-structured LSTM with attention. Information Sciences 509 (2020) 183–192 .
[6] Bo Ma#, Yongming Han#,*, Shiying Cui, Zhiqiang Geng*, Hongda Li, Chong Chu. Risk early warning and control of food safety based on an improved ****ytic hierarchy process integrating quality control ****ysis method. Food Control. 108(2020), 106824.
[7] Yongming Han, Chenyu Fan, Meng Xu, Zhiqiang Geng*, Yanhua Zhong. Production capacity ****ysis and energy saving of complex chemical processes using LSTM based on attention mechani**. Applied Thermal Engineering. 2019, 160, 114072.
[8] Yunfei Cui#, Yongming Han#, Zhiqiang Geng*; Qunxiong Zhu*, Jinzhen Fan, Production Optimization and Energy Saving of Complex Chemical Processes using Novel Competing Evolutionary Membrane Algorithm: Emphasis on Ethylene Cracking. Energy Conversion and Management, 196 (2019) 311–319.
[9] Yongming Han, Shiying Cui, Zhiqiang Geng*, Chong Chu, Kai chen, Yajie Wang. Food quality and safety risk asses**ent using a novel HMM method based on GRA. Food Control 105 (2019) 180–189
[10] Zhiqiang Geng, Rongfu Zeng, Yongming Han *, Yanhua Zhong, Hua Fu. Energy efficiency evaluation and energy saving based on DEA integrated affinity propagation clustering: Case study of complex petrochemical industries. Energy, 2019,179: 863-875.
[11] Yongming Han, Chang Long, Zhiqiang Geng*, Qunxiong Zhu*, Yanhua Zhong. A novel DEACM integrating Affinity Propagation for performance evaluation and energy optimization modeling: Application to complex petrochemical. Energy Conversion and Management, 2019 ，183 , 349–359.
[12] Zhiqiang Geng , Qingchao Meng, Ju Bai, Jie Chen, Yongming Han ∗, Qing Wei*, Zhi Ouyang. A model-free Bayesian classifier. Information Sciences 482(2019) 171–188 .
[13] Xiaoyong Lin, Shiying Cui, Yongming Han*, ZhiqiangGeng*, Yanhua Zhong. An improved ISM method based on GRA for hierarchical ****yzing theinfluencing factors of food safety. Food Control.2019, 99: 48-56
[14] Yongming Han, Hao Wu, Minghui Jia, Zhiqiang Geng*, Yanhua Zhong. Production capacity ****ysis and energy optimization of complex petrochemical industries using novel extreme learning machine integrating affinity propagations. Energy Conversion and Management, 2019, 99, 48–56.
[15] ZhiqiangGeng, Dirui Shang, Yongming Han*,Yanhua Zhong. Early warning modeling and ****ysis based on a deep radial basis function neural network integrating an ****ytic hierarchy process: A case study for food safety. Food Control.2019,96:329-342
[16] ZhiqiangGeng, Xuan Hu, Yongming Han*, Yanhua Zhong, A novel leakage detection method based on the sensitivity matrix of the pipe flow: Case study of water distribution systems. Journal of Water Resources Planning and Management. 2019, 145(2): 04018094-1-12
[17] ZhiqiangGeng, Xuan Hu, Ning Ding, Shanshan Zhao, Yongming Han*.A pattern recognition modeling approach based on the intelligent ensemble classifier：Application to identification and appraisal of water-flooded layers. Part I-Journal of Systems and Control Engineering. 2019, 233(7):737-750.
[18] ZhiqiangGeng, Zun Wang, Haixia Hu, Yongming Han*, Xiaoyong Lin*. A Fault Detection Method based on Horizontal Visibility Graph-Integrated Complex Networks: Application to Complex Chemical Processes. Canadian Journal of Chemical Engineering.2019:97(5):1129-1138.
[19] Yuan Xu, Mingqing Zhang, Liangliang Ye, Qunxiong Zhu , Zhiqiang Geng, Yan-Lin He, YongmingHan*. A novel prediction intervals method integrating an error & selffeedback extreme learning machine with particle swarm optimization for energy consumption robust prediction. Energy, 164 (2018) 137-146.
[20] ZhiqiangGeng,HongdaLi,QunxiongZhu,YongmingHan*. Production prediction and energy-saving model based on Extreme Learning Machine integrated ISM-AHP: Application in complex chemical processes . Energy, 2018, 160: 898-909.
[21] Zhiqiang Geng, Ju Bai, Deyang Jiang, Yongming Han*.Energy structure ****ysis and energy saving of complex chemical industries:A novel fuzzy interpretative structural model. Applied Thermal Engineering 142 (2018) 433–443.
[22] Yongming Han, Qing Zeng, Zhiqiang Geng*, Qunxiong Zhu*. Energy management and optimization modeling based on a novel fuzzy extreme learning machine: Case study of complex petrochemical industries. Energy Conversion and Management, 2018, 145, 41–52.
[23] Yongming Han, Chang Long, Zhiqiang Geng*, Keyu Zhang*. Carbon emission ****ysis and evaluation of industrial departments in China: An improved environmental DEA cross model based on information entropy[J]. Journal of Environmental Management, 2018, 205: 298-307.
[24] Zhiqiang Geng, Yanan Li, Yongming Han*, Qunxiong Zhu*. A Novel Self-Organizing Cosine Similarity Learning Network: An Application to Production Prediction of Petrochemical Systems. Energy, 2018, 142: 400-410.
[25] Zhiqiang Geng , Zhongkun Li , Yongming Han ∗. A new deep belief network based on RBM with glial chains. Information Sciences 463–464 (2018) 294–306 .
[26] Zhiqiang Geng, Jungen Dong, Yongming Han*, Qunxiong Zhu*. Energy and environment efficiency ****ysis based on an improved environment DEA cross-model: Case study of complex chemical processes. Applied Energy, 2017, 205, 465-476.
[27] Zhiqiang Geng, Huachao Gao, Yanqing Wang, Yongming Han*, Qunxiong Zhu*. Energy saving ****ysis and management modeling based on index decomposition ****ysis integrated energy saving potential method: Application to complex chemical processes. Energy Conversion and Management, 2017, 145, 41–52.
[28] Yunfei Cui, Zhiqiang Geng*, Qunxiong Zhu. Yongming Han*. Review: Multi-objective optimization methods and application in energy saving. Energy 2017, 125, 681-704
[29] Zhiqiang Geng, Xiao Yang, Yongming Han*, Qunxiong Zhu*. Energy optimization and ****ysis modeling based on extreme learning machine integrated index decomposition ****ysis: Application to complex chemical processes. Energy 2017,120, 67-78
[30] Zhiqiang Geng, Lin Qin, Yongming Han*, Qunxiong Zhu*. Energy saving and prediction modeling of petrochemical industries: A novel ELM based on FAHP. Energy 2017,122, 350-362 (TOP/SCI)
[31] Yongming Han, Qunxiong Zhu, Zhiqiang Geng*, Yuan Xu*. Energy and carbon emissions ****ysis and prediction of complex petrochemical systems based on an improved extreme learning machine integrated interpretative structural model. Applied Thermal Engineering. 2017, 115, 280-291.
[32] Yongming Han, Zhiqiang Geng*, Yixin Qu, Qunxiong Zhu*. Linear optimization fusion model based on fuzzy C-means: Case study of energy efficiency evaluation in ethylene product. Journal of Analytical and Applied Pyrolysis 2017,125, 347–355
[33] Yaxun Chen, Yongming Han*, Qunxiong Zhu*. Energy and environmental efficiency evaluation based on a novel data envelopment ****ysis: An application in petrochemical industries. Applied Thermal Engineering. 2017, 119, 156-164.
[34] Zhiqiang Geng, Shanshan Zhao, Guangcan Tao, Yongming Han*. Early warning modeling and ****ysis based on ****ytic hierarchy process integrated extreme learning machine (AHP-ELM): Application to food safety. Food Control 2017, 78, 33-42.
[35] Zhiqiang Geng, Jungen Dong, Jie Chen, Yongming Han*. A new Self-Organizing Extreme Learning Machine soft sensor model and its applications in complicated chemical processes. A new Self-Organizing Extreme Learning Machine soft sensor model and its applications in complicated chemical processes. Engineering Applications of Artificial Intelligence. 2017, 62, 38-50.
[36] Zhiqiang Geng, Jie Chen, Yongming Han*. Energy Efficiency Prediction Based on PCA-FRBF Model: A Case Study of Ethylene Industries. IEEE Transactions on Systems Man Cybernetics-Systems. 2017, 47(8),1763-1773.
[37] Yongming Han, Zhiqiang Geng*, Qunxiong Zhu, Zun Wang, Yunfei Cui. Energy consumption ****ysis and evaluation of petrochemical industries using an improved fuzzy ****ytic hierarchy process approach. Journal of Intelligent & Fuzzy Systems. 2017,32(6),4183-4195.
[38] Zhiqiang Geng, Zun Wang, Chenglong Peng, Yongming Han*. A New Fuzzy Process Capability Estimation Method Based on Kernel Function and FAHP. IEEE Transactions on Engineering Management, 2016, 63(2): 177-188.
[39] Yongming Han, Zhiqiang Geng*, Zun Wang, Peng Mu. Performance ****ysis and optimal temperature selection of ethylene cracking furnaces: A data envelopment ****ysis cross-model integrated ****ytic hierarchy process. Journal of Analytical and Applied Pyrolysis 2016,122, 35–44
[40] Zhiqiang Geng, Zun Wang, Qunxiong Zhu, Yongming Han*. Multi-objective operation optimization of ethylene cracking furnace based on AMOPSO algorithm. Chemical Engineering Science. 2016,153, 21–33
[41] Yongming Han, Zhiqiang Geng *, Qunxiong, Zhu*. Energy optimization and prediction of complex petrochemical industries using an improved artificial neural network approach integrating data envelopment ****ysis. Energy Conversion and Management 2016,124, 73–83
[42] Yongming Han, Zhiqiang Geng*, Qunxiong Zhu*, Yixin Qu. Energy efficiency ****ysis method based on fuzzy DEA cross-model for ethylene production systems in chemical industry. Energy. 2015, 83, 685-695.
[43] Yongming Han, Zhiqiang Geng*, Xiangbai Gu*, Zun Wang. Performance Analysis of China Ethylene Plants by Measuring Malmquist Production Efficiency Based on an Improved Data Envelopment Analysis Cross-Model. Industrial & Engineering Chemistry Research 2015,54, 272-284.
[44] Yongming Han, Zhiqiang Geng*, Xiangbai Gu, Qunxiong Zhu*. Energy Efficiency Analysis based on DEA Integrated ISM: A Case Study for Chinese Ethylene Industries. Engineering Applications of Artificial Intelligence. 2015, 45, 80-89.
[45] Yongming Han, Zhiqiang Geng*, Qunxiong Zhu, Xiaoyong Lin. Energy consumption hierarchical ****ysis based on interpretative structural model for ethylene production. Chinese Journal of Chemical Engineering, 2015, 23(12): 2029-2036.
[46] Yongming Han, Zhiqiang Geng*. Energy Efficiency Hierarchy Evaluation based on Data envelopment ****ysis and its application in Petrochemical Process. Chemical Engineering & Technology, 2014, 37(12), 2085–2095
[47] Yongming Han, Zhiqiang Geng*, Qiyu Liu. Energy Efficiency Evaluation Based on Data Envelopment Analysis Integrated Analytic Hierarchy Process in Ethylene Production. Chinese Journal of Chemical Engineering 2014, 22(12), 1279-1284