一、科研论文
[1] Yong He, Nuo Liao, Kunrong Lin. Can China’s industrial sector achieve energy conservation and emission reduction goals dominated by energy efficiency enhancement? A multi-objective optimization approach. Energy Policy, 2021, 149: 112108.
[2] Yong He, Feifei Fu, Nuo Liao. Exploring the path of carbon emissions reduction in China's industrial sector through energy efficiency enhancement induced by R&D investment. Energy, 2021, 225:120208
[3] Yong He, Nuo Liao, Jiwen Rao, Zhihao Chen. EnergyconservationpathofChinairon and steel industrydriven by relativepolicies. Energy Efficiency, 2021,14:14.
[4]Yong He, Kunrong Lin, Nuo Liao, Zhihao Chen, Jiwen Rao..Exploring the spatial effects and influencing factors of PM2.5 concentration in the Yangtze River Delta Urban Agglomerations of China.Atmospheric Environment,2022,268:118805
[5]Yong He,Hongyan Zuo, Nuo Liao.Assessing the impactof reverse technology spillover of outward foreign direct investment on energy efficiency.Environment Development and Sustainability, 2022,doi.org/10.1007/s10668-022-02204-x
[6]Yong He, Nuo Liao, Jiwen Rao, Feifei Fu, Zhihao Chen.The optimization of investment strategy for resource utilization andenergy conservation in iron mines based on Monte Carlo andintelligent computation.Journal of Cleaner Production,2019,232:672-691
[7]Yong He, Nuo Liao, Jiajing Bi, Liwei Guo.Investment decision-making optimization of energy efficiency retrofit measures in multiple buildings under financing budgetary restraint. Journal of Cleaner Production, 2019, 215:1078-1094 (中科院SCI一区)
[8]Nuo Liao, Yong He.Exploring the effects of influencing factors on energy efficiency in industrial sector using cluster analysis and panel regression model. Energy, 2018,158 :782-795 (中科院SCI一区)
[9]Yong He, Nuo Liao, Ya Zhou. Analysis on provincial industrial energy efficiency and its influencing factors in China based on DEA-RS-FANN. Energy, 2018,142:79-89(中科院SCI一区)
[10]Yong He, Nuo Liao, Jiajing Bi. Intelligent integrated optimization of mining and ore-dressing grades in metal mines. Soft Computing, 2018, 22(1):283-299 (中科院SCI三区)
[11]Yong He, Siwei Gao, Nuo Liao, Hongwei Liu. A nonlinear goal-programming-based DE and ANN approach to grade optimization in iron mining. Neural Computing and Application, 2016, 27(7):2065-2081(中科院SCI二区)
[12]Yong He, Siwei Gao, Nuo Liao.An intelligent computing approach to evaluating the contribution rate of talent on economic growth. Computational Economics, 2016,48(3):399-423 (SSCI二区)
[13] Yong He, Nuo Liao, Hongwei Liu, Yinghong Zhong.A new method of soft computing to estimate the contribution rate of S&T progress on economic growth. Applied Soft Computing, 2012, 12(6):1801-1809 (中科院SCI二区)
[14] Yong He, Kejun Zhu. Theory and Method of Genetic-neural Optimizing cut-off grade and grade of crude ore. Expert Systems with Applications 2009,36(4):7617-7623 (中科院SCI二区)
[15] Shiwei Yu, Kejun Zhu, Yong He. A hybrid intelligent optimization method for multiple metal grades optimization. Neural Computing and Applications, 2012, 21(6): 1391-1402 (中科院SCI二区)
[16] Yong He. Multi-objective optimization of grades based on soft computing. Lecture note in computer science 6063, Springer-Verlag Berlin Heidelberg 2010, pp. 144-151
[17] Yong He, Sixin Xu, Kejun Zhu. A Genetic-neural Method of Optimizing Cut-off Grade and Grade of Crude ore.Lecture note in computer science 5264, Springer-Verlag Berlin Heidelberg 2008, pp.588-597
[18] Yong He, Kejun Zhu. The optimal cluster number of FCM in complex economic system. IEEE World Congress on Computational Intelligence, Hong Kong, 2008, pp.766-770
[19] Yong He, Kejun Zhu. A Soft Computing Method to Estimate the Effect of Production Factors on Economic Growth. IEEE Congress on Evolutionary Computation, Singapore, 2007, pp.4337-4343
[20]廖诺,卢晨,贺勇.碳交易政策下节能服务公司参与供应链合作减排策略研究.中国管理科学,2021,29(2):160-167(国家基金委管理科学部A类期刊)
[21]廖诺,赵亚莉,贺勇,周雅.碳交易政策对电煤供应链利润及碳排放量影响的仿真分析.中国管理科学,2018,26(8):154-163.(国家基金委管理科学部A类期刊)
[22]贺勇,廖诺,张紫君.我国省际人才集聚对经济增长的贡献测算.科研管理,2019,40(11):247-256(国家基金委管理科学部A类期刊)
[23]贺勇,陈志豪,廖诺.政府补贴方式对绿色供应链制造商减排决策的影响机制.中国管理科学,2020(国家基金委管理科学部A类期刊)
[24]廖诺,梁佩仪,贺勇,罗雪韵.能源费用托管型合同下嵌入视角的供应链合作减排决策研究.中国管理科学,2022(国家基金委管理科学部A刊)
[25]贺勇,廖诺,莫赞.基于PSO和ANN的采选品位智能约束优化.系统管理学报, 2014, 23(5): 737-742(国家基金委管理科学部A类期刊)
[26]贺勇,廖诺.资源利用与能耗约束下铁矿采选品位的智能优化.运筹与管理, 2016,25(5):88-94(国家基金委管理科学部A类期刊)
[27]廖诺,贺勇.基于PSO-GA-ANN的铁矿采选品位与投资策略优化.系统管理学报,2018,27(3):493-511(国家基金委管理科学部A类期刊)
[28]贺勇,欧阳粤青,廖诺.服务质量、关系质量与物流外包绩效——基于合作关系视角的案例研究,管理案例研究与评论,2016,9(6):567-579
[29]贺勇,钱婷婷,廖诺.外包情境下品牌商主导的绿色供应链减排决策分析.工业工程,2022,25(1):38-46
[30]贺勇,诸克军.品位组合优化的粒子群-神经计算方法.系统管理学报(原系统工程理论方法应用),2010,19(2):204-209(国家基金委管理科学部A类期刊)
[31]贺勇,诸克军.基于软计算的生产要素对地区经济影响分析.系统管理学报(原系统工程理论方法应用),2009,3,pp.284-290(国家基金委管理科学部A类期刊)
[32]贺勇,诸克军,徐思新.一种PSO和ANN集成的品位优化模型.运筹与管理,2009,18(2):89-96(国家基金委管理科学部A类期刊)
[33]郭海湘,诸克军,贺勇,陈希.基于模糊聚类和粗糙集提取我国经济增长的模糊规则. 管理学报. 2005(04):437-440
[34]贺勇,马爱文.基于DEA和ANN的我国各地区工业能源效率及其影响因素分析.数学的实践与认识, 2016,46(9): 87-96
[35]廖诺,张紫君,贺勇.考虑产能约束和分配方式的供应链信息共享价值创造与共享意愿.统计与决策, 2017(17):47-52
[36]贺勇,欧阳粤青,廖诺,邓法正.第三方物流服务质量对物流外包绩效影响的实证研究-关系质量的中介作用,软科学,2016,30(12):127-130
[37]贺勇,余荣军,黄仕明,马月华.考虑时间变量的报童问题模型及计算机模拟求解.统计与决策, 2014(4):40-42
[38]贺勇;杨倩霞;唐可欣.广州市科技进步对经济增长贡献份额的测算.科技管理研究,2013, 33(16): 44-47
[39]贺勇.基于聚类和Cobb-Douglas函数的我国人才贡献率测算.数学的实践与认识, 2014, 44(19):130-138
[40]贺勇.复杂经济系统FCM划分最佳聚类数的确定.计算机应用研究,2011,28(5):1668-1670
[41]贺勇,钟映竑.一种社会经济系统模糊C划分聚类数的确定方法.统计与决策,2011,12:13-15
[42]贺勇.广东省科技进步对经济增长贡献率的软计算.统计与决策,2011,15:125-128
[43]贺勇,诸克军.一种基于精简的模糊规则库的分类算法.计算机应用研究,2007,24(2):24-26
[44]贺勇,诸克军.一种模糊神经网络的结构和参数的确定方法,计算机应用研究,2007,24(3):247-252.
[45]贺勇,诸克军,郭海湘.我国各地区经济产出的模糊建模,科技进步与对策,2006(10):151-154.