1.        Li Z P, Tang X J, Chen B H, Yang J and Su P. Why continuous discussion can promote the consensus of opinions? Computational Social Networks, Vol.3, Issue 1, No.9, 2016. DOI:10.1186/s40649-016-0035-x (Open -Access)

2.        Wei C P, Ren Z L, Tang X J and Feng J G, Information aggregation operators based on hesitant fuzzy sets and prioritization relationship, Journal of Intelligent & Fuzzy Systems, 2016, 31(2):765–774  [SCI]

3.        Lu Fengbin, Qiao Han, Wang Shouyang, Lai Kin Keung, Li Yuze. Time-varying coefficient vector autoregressions model based on dynamic correlation with an application to crude oil and stock markets. Environmental Research, Jul. 2016, http://dx.doi.org/10.1016/j.envres.2016.07.015.

4.        Zhigang Cao, Xujin Chen, Xiaodong Hu, Changjun Wang, Approximation algorithms for pricing with negative network externalities." Journal of Combinatorial Optimization: 1-32.

5.        Xinglong Qu, Changli Zhou, Zhigang Cao, Xiaoguang Yang, Conditional dissociation as a punishment mechanism in the evolution of cooperation." Physica A: Statistical Mechanics and its Applications 449: 215-223

6.        Zhang, X., Yu, D., Zou, G. and Liang, H. Optimal model averaging estimation for generalized linear models and generalized linear mixed-effects models. Journal of American Statistical Association, 111, 1775-1790.

7.        Zhao, S., Zhang, X.* and Gao, Y. (2016). Model averaging with averaging covariance matrix. Economics Letters, 145, 214-217. (*corresponding author).

8.        Gao, Y., Zhang, X.*, Wang, S. and Zou, G. (2016). Model averaging based on leave-subject-out cross validation. Journal of Econometrics, 192, 139-151. (*corresponding author).

9.        Magnus, J., Wang, W. and Zhang, X. (2016). Weighted-average least squares prediction. Econometric Reviews, 35, 1040-1074.

10.     Zhang, X., Liang, H., Liu, A., Ruppert, D. and Zou, G. (2016). Selection strategy for covariance structure of random effects in linear mixed-effects models. Scandinavian Journal of Statistics, 43, 275-291.

11.     Zhang, X., Ullah, A. and Zhao, S. (2016). On the dominance of Mallows model averaging estimator over ordinary least squares estimator. Economics Letters, 142, 69-73.

12.     Jing Ai, Lin Zhao and Wei Zhu, 2016. Contracting with Present-Biased Consumers in Insurance Markets. Geneva Risk and Insurance Review, to appear.

13.     Frank Y. Feng, Michael R. Powers, Ruian Xiao and Lin Zhao, 2016. Berry-Esseen Bounds for Compound-Poisson Loss Percentiles. Scandinavian Actuarial Journal, 10.1080/1182064.

14.     Dongmei Guo. Yi Hu, Shouyang Wang and Lin Zhao, 2016. Comparing Risks with Reference Points: A Stochastic Dominance Approach. Insurance: Mathematics and Economics, 70, 105-116.

15.     Ling Tang, Jiaqian Wu, Lean Yu*, Qin Bao, Carbon Allowance Auction Design of China's Emissions Trading Scheme: A multi-agent-based Approach, Energy Policy, 2017,102: 30-40.

16.     Hong Li*, Qin Bao, Xusheng Ren, Yuantao Xie, Jingzheng Ren, Yingkui Yang, Reducing Rebound Effect Through Fossil Subsidies Reform: A Comprehensive Evaluation in China, Journal of Cleaner Production, 2017, 141: 305-314.

17.     Ling Tang, Jiarui Shi, Lean Yu*, Qin Bao*, Economic and Environmental Influences of Coal Resource Tax in China: A Dynamic Computable General Equilibrium Approach, Resources, Conservation and Recycling, 2017, 117(A): 34-44.

18.     Ling Tang*, Jiarui Shi, Qin Bao, Designing an Emissions Trading Scheme for China with a Dynamic Computable General Equilibrium Model, Energy Policy, 2016, 97: 507-520.

19.     Wei Shang, Hsinchun Chen, Christine Livoti, Adverse Drug Reaction Early Warning Using User Search Data. Online Information Review (Accepted)

20.     Wei Xu, Lingyu Liu, Wei Shang*, Leveraging cross-media analytics to detect events and mine opinions for emergency management. Online Information Review (Accepted)

21.     Qi zhang, Jue Wang, Jian Ma and Shouyang Wang. An Improved SMO Algorithm for Financial Credit Risk Assessment-Evidence from China's banking.  Neurocomputing， In press, 2017.

22.     Quanrun Chen, Erik Dietzenbacher, Bart Los, Cuihong Yang, 2016, Modeling the short-run effect of fiscal stimuli on GDP: A new semi-closed input–output model, Economic Modelling, 58: 52-63

23.     Xuemei Jiang, Quanrun Chen, Dabo Guan, Kunfu Zhu, and Cuihong Yang, 2016, Revisiting the Global Net Carbon Dioxide Emission Transfers by International Trade, Journal of Industrial Ecology, 20(3): 506-514

24.     Haiying Wang*, Rong Zhu* and Ping Ma (*equal contribution) (2016). Optimal Subsampling for Large Sample Logistic Regression. forthcoming in Journal of American Statistical Association (Top Journal in Statistics)

25.     Rong Zhu (2016).  Gradient-based Sampling: An Adaptive Importance Sampling for Least-squares.  Advances in Neural Information Processing Systems 30 (NIPS 2016). (Top conference in Machine learning)

26.     Qiming Li, Ke Cheng , Xiaoguang Yang, Response pattern of stock returns to international oil price shocks: From the perspective of China’s oil industrial chain, Applied Energy, Volume 185, Part 2, 1 January 2017, Pages 1821–1831

27.     Aifan Ling, Jie Sun , Nai-hua Xiu , Xiaoguang Yang, Robust Two-stage Stochastic Linear Optimization with Risk Aversion, European Journal of Operational Research, Volume 256, Issue 1, 1 January 2017, Pages 215–229

28.     Huangxia Huang, Jie Cao, Fenghua Wen, Xiaoguang Yang, Stability analysis of SIR model with distributed delay on complex networks, PLOS One, PLOS ONE | DOI:10.1371/journal.pone.0158813 August 4, 2016

29.     Xinglong Qu, Changli Zhou, Zhigang Cao, Xiaoguang Yang, Conditional dissociation as a punishment mechanism in the evolution of cooperation, Physica A 449 (2016) 215–223

30.     Qiming Li , Wenhuan Wang , Yiping Lou , Ke Cheng and Xiaoguang Yang, Diversification and Corporate Performance:Evidence from China’s Listed Energy Companies, Sustainability 2016, 8, 983

31.     Yingli Wang, Mingmin Yang, Xiangyin Chen, Changli Zhou,and Xiaoguang Yang, The Network Topology of the Chinese Creditees, Knowledge and Systems Sciences, Volume 660 of the series Communications in Computer and Information Science pp 104-114

32.      Liu Xiuli(#)，Hewings, J. D. Geoffrey，Chen Xikang(*)，Wang Shouyang，A Factor Decomposing Model of Water Use Efficiency at Sector Level and Its Application in Beijing，Journal of Systems Science & Complexity，2016.4.01，29(2)：405~427，EI，

33.     Wei Yang, Ai Han*, Yongmiao Hong & Shouyang Wang, Analysis of Crisis Impact on Crude Oil Prices: A New Approach with Interval Time Series Modelling, Quantitative Finance, 2016. Published online, DOI: 10.1080/14697688.2016.1211795.

34.     Ai Han, Yongmiao Hong, Shouyang Wang & Xin Yun, A Vector Autoregressive Moving Average Model for Interval-Valued Time Series Data, Advances in Econometrics, 2016, 36: 417-460.

35.     Qingrong Zou, Xiuli Liu (通讯作者), Economic effects analysis of seawater desalination in China with input-output technology, Desalination (IF=4.412), 2016, 380,18-28.

36.     Xiuli Liu (通讯作者), Geoffrey Hewings, Xikang Chen, Shouyang Wang, A Factor Decomposing Model on Water Use Efficiency at Sector Level and Its Application in Beijing, Journal of Systems Science and Complexity, 2016, 29(2),405-427.

37.     Xiuli Liu(第一作者), Ana Salome Garcia Muniz, Blanca Moreno, Primary energy consumption forecasts in Spanish Economic sectors. A Grey neural network and input-output combined forecasting model, Energy (IF=4.292), 2016, 115:1042-1054

38.     Xiuli Liu, A Way to Close Green Gap by Producers: Choosing Wastes Treatment Way and Pricing Green Products, Journal of Residuals Science & Technology, 2015.8, Accepted

39.     Qing Liu, Xiuli Liu (通讯作者), Prediction and Analysis of Beijing’s Population Structure Based on the PDE Model, Management Information and Optoelectronic Engineering, 11-19.

40.     Xiuli Liu, A New Indicator to Evaluate By Sector Water Use Efficiency and Its Application, World Scientific Journal, EI, Accepted, 2016.12

41.     Xiuli Liu, Total Water Demand Forecast in China in 2015, , World Scientific Journal, EI, Accepted, 2016.11

42.     Yanmin Shao*, Shouyang Wang, Productivity Growth and Environmental Efficiency of China’s Nonferrous Metals Industry, Journal of Cleaner Production (SCI期刊, IF 3.844), 37:1663-1671, 2016

43.     Yanmin Shao*, Analysis of Energy Savings Potential of China’s Nonferrous Metals Industry, Resources, Conservation & Recycling (SCI期刊, IF 2.564), 117:25-33, 2017

44.     Yanmin Shao*, Changfu Sun, Performance Evaluation of China’s Air Routes Based on Network Data Envelopment Analysis Approach, Journal of Air Transport Management (SSCI期刊), 55: 67-75, 2016

45.     Rongbao Gu*, Yanmin Shao, How Long the Singular Value Decomposed Entropy Predicts the Stock Market?—Evidence from the Dow Jones Industrial Average Index, Physica A: Statistical Mechanics and its Applications (SCI期刊), 453(1): 150–161,2016

46.     Yali Wang, Yanmin Shao*, Motivations of Chinese Outward Direct Investment: the Sector Perspective, Journal of System Science and Complex (SCI期刊), 29:698-721, 2016

47.     Wei Yang, Jinfeng Shi, Han Qiao, Yanmin Shao*, Shouyang Wang, Regional technical efficiency of Chinese Iron and steel industry based on bootstrap network data envelopment analysis, Socio-Economic Planning Sciences, Online, http://www.sciencedirect.com/science/article/pii/S0038012116301392

48.     Mingting Kou, Kaihua Chen, Shouyang Wang, Yanmin Shao, Measuring Efficiencies of Multi-period and Multi-division Systems Associated with DEA: An Application to OECD Countries’ National Innovation Systems, Expert Systems with Applications (SCI期刊, IF 2.240), 46:494–510, 2016

49.     Changfu Sun, Yanmin Shao*, An Empirical Analysis of the Spatial Links in China’s Outward Foreign Direct Investment, IEEE International Conference on Logistics, Informatics and Service Sciences(EI检索), 2016

50.     Xie Gang. Cooperative strategies for sustainability in a decentralized supply chain with competing suppliers. Journal of Cleaner Production, 113 (2016) 807-821. （SCI, IF: 4.959）

51.     Zhang, Z. Y., Yang, H., Shi, M. J. 2016. Spatial and sectoral characteristics of China’s international and interregional virtual water flows -based on interregional input-output models of 2002 and 2007. Economic Systems Research. 28(3):362-382.（SSCI）

52.     Zhang, Z. Y., Yang, H., Shi, M. J. Alleviating the water scarcity in the North China Plain: the role of virtual water and real water transfer. The Chinese Economy （accepted）

53.     Ruqian Lu, A peep at knowedge science from categorical prospect, Frontiers of Computer Science, 10(5):pp. 767-768, 2016

54.     XJ Yi，BS Dhillon，HP Dong，Jian Shi，JP Jiang (2016) . Quantitative Analysis of Repairable Systems with Double Inputs Closed-Loop Feedback Based on GO Methodology. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2016 1-14. DOI: 10.1007/s40430-016-0665-9 (SCI)

55.     XJ Yi，BS Dhillon，Jian Shi，HN Mu，Z Zhang (2016). A new reliability analysis method for vehicle systems based on goal-oriented methodology. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. 2016. DOI: 10.1177/0954407016671276 (SCI)

56.     X. Yi, Jian Shi, H. Mu, Y Zhang and S. Guo (2016). Reliability Analysis on Repairable System with Dual Input Closed-Loop Feedback Link Considering Shutdown Correlation Based on Goal Oriented Methodology. 东华大学学报（英文版）, 2016, 33(2).

57.     X. Yi, Jian Shi, H. Mu, H. Dong and Z. Zhang. (2016). Reliability analysis of repairable system with multiple-input and multi-function component based on GO methodology. ASME Journal of Risk and Uncertainty in Engineering Systems. Part B: Mechanical Engineering. 3(1) 2016. Doi:10.1115/1.4034744.

58.     Qin Chen, Xujin Chen, Wenan Zang, A polyhedral description of kernels, Mathematics of Operations Research 41 (2016), 969-990.

59.     Xujin Chen, Xiaodong Hu, Tie-Yan Liu, Weidong Ma, Tao Qin, Pingzhong Tang, Changjun Wang, Bo Zheng, Efficient mechanism design for online scheduling, Journal of Artificial Intelligence Research 56 (2016), 429-461.

60.     Xujin Chen, Xiaodong Hu, Changjun Wang, Approximation for the minimum cost doubly resolving set problem, Theoretical Computer Science 609 (2016), 526-543.

61.     Xujin Chen, Zhuo Diao, Xiaodong Hu, Network Characterizations for Excluding Braess’s Paradox, Theory of Computing Systems 59 (2016), 747-780.

62.     Zhigang Cao, Xujin Chen, Xiaodong Hu, Changjun Wang, Approximation algorithms for pricing with negative network externalities, Journal of Combinatorial Optimization (2016), DOI:10.1007/s10878-015-9988-1.

63.     Xujin Chen, Zhuo Diao, Xiaodong Hu, Zhongzheng Tang, Sufficient conditions for Tuza's conjecture on packing and covering triangles, Proceedings of the 27th International Workshop on Combinatorial Algorithms (IWOCA), Lecture Notes in Computer Science 9843 (2016), 266-277.

64.     Xujin Chen, Zhuo Diao, Network topologies for weakly Pareto optimal nonatomic selsh routing, Proceedings of the 22th International Conference on Computing and Combinatorics (COCOON), Lecture Notes in Computer Science 9797 (2016), 27-38.

65.     Xujin Chen, Zhuo Diao, Xiaodong Hu, Zhongzheng Tang, Total dual integrality of triangle covering, Proceedings of the 10th International Conference on Combinatorial Optimization and Applications (COCOA), Lecture Notes in Computer Science 10043 (2016), 128-143.

66.     C.Ding, Variational Analysis of the Ky Fan k-norm, Set-Valued and Varia- tional Analysis, DOI: 10.1007/s11228-016-0378-3 (2016).

67.     C. Ding and H.D. Qi, Convex Euclidean Distance Embedding for Collaborative Position Localization with NLOS Mitigation, Computational Optimization and Applications, DOI: 10.1007/s10589-016-9858-5(2016).

68.     C. Ding and H.D. Qi, Convex Optimization Learning of Faithful Euclidean Distance Representations in Nonlinear Dimensionality Reduction, Mathematical Programming, DOI: 10.1007/s10107-016-1090-7 (2016).

69.     C. Ding, D.F. Sun and L.W. Zhang, Characterization of the Robust Isolated Calmness for a Class of Conic Programming Problems, SIAM Journal on Optimization, accepted (2016).

70.     Fang Liu, Ke Liu, and Xin-li Xie, “Monitoring and Limiting Deceptive Counterfeiting: a Two-Stage Model”, J. Oper. Res. Sco. China (2016) 4:265-308.

71.     Ping Cao, Mengmeng Fan， Ke Liu，“Optimal Dynamic Pricing Problem Considering Patient and Impatient Customers' Purchasing Behavior”，International Journal of Production Research 2015 52(22), 6719-6735（补遗）

72.     刘文静，刘克，杨璐，“A dynamic programming model for effect of worker’s type on wage arrears”, CEJOR, DOI 10.1007/s10100-016-0435-x，2016

73.     Zhixiang Lin, Can Yang, Ying Zhu, John Duchia, Yao Fu, Yong Wang, Bai Jiang, Mahdi Zamanighomi,Xuming Xu, Mingfeng Li, Nenad Sestan, Hongyu Zhao, and Wing Hung Wong. Simultaneous dimension reduction and adjustment forconfounding variation. PNAS. in press. 2016. pnas.1617317113

74.     Yong Wang, Rui Jiang, and Wing Hung Wong. Modeling the causal regulatory network by integrating chromatin accessibility and transcriptome data. National Science Review. in press, 2016; doi: 10.1093/nsr/nww025

75.     Duren Zhana, Yong Wang. A systematic method to identifymodulation of transcriptional regulation via chromatin activity reveals regulatory network during mESC differentiation. Scientific Report. in press, 2015.

76.     Bo Jin, Yifan Zhao, Shiying Hao, Andrew Young Shin, Yue Wang, Chunqing Zhu, Zhongkai Hu, Changlin Fu, Jun Ji, Yong Wang, Yingzhen Zhao, Yunliang Jiang, Dorothy Dai, Devore S. Culver, Shaun T. Alfreds, Todd Rogow, Frank Stearns, Karl G. Sylvester, Eric Widen, and Xuefeng B. Ling. Prospective stratification of patients at risk for emergency department revisit: resource utilization and population management strategy implications, BMC Emergency Medicine, 16:10, 2016.

77.     Qiaofeng Wu, Meng Zou, Mingxiao Yang, Siyuan Zhou, Xianzhong Yan, BoSun, Yong Wang, Shyang Chang, Yong Tang,  Fanrong Liang, and Shuguang Yu. Revealing potential biomarkers of functional dyspepsia by combining 1H NMR metabonomics techniques and an integrative multi-objective optimization method. Scientific Report. in press, 2015.

78.     Yuzhen Guo, Zikai Wu, Ying Wang, and Yong Wang. An extended particle swarm optimization method for folding protein on triangle lattice. IET Systems Biology. in press, 2015.

79.     Yongcui Wang, Nai-Yang Deng, Shi-Long Chen, and Yong Wang. Computational probing protein-protein interactions targeting small molecules. Bioinformatics, 32: 226-234, 2016.

80.     Meng Zou, Peng-Jun Zhang, Luonan Chen, Ya-Ping Tian, and Yong Wang. Identifying joint biomarker panel from multiple level dataset by an optimization model.Biomarkers in Medicine. in press, 2016.

81.     Yan Xu, Jun Ding, and Ling-Yun Wu. iSulf-Cys: prediction of S-sulfenylation sites in proteins with physicochemical properties of amino acids. PLoS ONE, 11(4): e0154237, 2016.

82.     Yan Xu, Ya-Xin Ding, Jun Ding, Ling-Yun Wu, and Yu Xue. Mal-Lys: prediction of lysine malonylation sites in proteins integrated sequence-based features with mRMR feature selection. Scientific Reports, 6:38318, 2016.

83.     Zhi-Ping Liu, Shutang Liu, Ruitang Chen, Xiaopeng Huang, and Ling-Yun Wu. Structure alignment-based classification of RNA-binding pockets reveals regional RNA recognition motifs on protein surfaces. BMC Bioinformatics, in press, 2016.

84.     Duanchen Sun, Yinliang Liu, Xiang-Sun Zhang, Ling-Yun Wu. NetGen: a novel network-based probabilistic generative model for gene set functional enrichment analysis. BMC Systems Biology,accepted, 2016.

85.     Xing Chen, Chenggang Clarence Yan, Xu Zhang, Zhu-Hong You, Yu-An Huang, Gui-Ying Yan，HGIMDA: Heterogeneous graph inference for miRNA-disease association prediction，Oncotarget, Vol. 7, No. 40，65257-65269

86.     Ji-Yong An, Fan-Rong Meng, Zhu-Hong You, Xing Chen, Gui-Ying Yan, and Ji-Pu Hu1 Improving protein–protein interactions prediction accuracy using protein evolutionary information and relevance vector machine model ，PROTEIN SCIENCE 2016 VOL 25:1825—1833

87.     Xing Chen, Zhu-Hong You, Gui-Ying Yan, Dun-Wei Gong，IRWRLDA: improved random walk with restart for lncRNA-disease association prediction，Oncotarget, Vol. 7, No. 36，57919-57931

88.     JianshengCai，BinluFeng， Guiying Yan，Acyclic coloring of graphs with some girth restriction，J Comb Optim (2016) 31:1399–1404 DOI 10.1007/s10878-015-9829-2

89.     Xing Chen, Biao Ren, Ming Chen, Quanxin Wang, Lixin Zhang, Guiying Yan，NLLSS: Predicting Synergistic Drug Combinations Based on Semi-supervised Learning， PLOS Computational Biology ，DOI:10.1371/journal.pcbi.1004975 July 14, 2016 ，1-23

90.     Guanghui Wang, Guiying Yan, Xiaowei Yu，Existence of rainbow matchings in strongly edge-colored graphs，Discrete Mathematics 339 (2016) 2457–2460

91.     Ji-Yong An, Zhu-Hong You, Xing Chen, De-Shuang Huang, Guiying Yan, Da-Fu Wang，Robust and accurate prediction of protein self-interactions from amino acids sequence using evolutionary information，Molecular Biosystems，2016, 12(12):3702-3710

92.     Shuangchi He, Dacheng Yao and Hanqin Zhang. 2016.Optimal ordering policy for inventory models with quantity-dependent setup costs.Mathematics of Operations Research, to appear.

93.     Dacheng Yao, Xiuli Chao and Jingchen Wu. 2016.Optimal policies for Brownian inventory systems with a piecewise linear ordering cost.IEEE Transactions on Automatic Control, to appear (full paper)

94.     Junfei HUANG, Hanqin ZHANG, and Jiheng ZHANG, A Unified Approach to Diffusion Analysis of Queues with General Patience-time Distributions, Mathematics of Operations Research, Volume 41 (2016), 1135-1160

95.     Lijian LU, Jing-Sheng Song, and Hanqin ZHANG, Optimal and Asymptotically Optimal Policies for Assemble-to-Order N- and W-systems, Naval Research Logistics, Volume 62(2015), 617-645.

96.     Ky-Quan TRAN, George YIN, Leyi WANG, and Hanqin ZHANG, Singularly Perturbed Multi-scale Switching Diffusions, Dynamics Systems and Applications, Volume 25(2016), 153-173.

97.     刘翱，刘克，舰载机保障作业调度问题研究进展，系统工程理论与实践，2016，36：（1），1-12

98.     吴信东，何进，陆汝钤，郑南宁，从大数据到大知识：HACE + BigKE. 自动化学报， pp. 965-982, 42 (7), 2016.

99.     尚妍, 郑桂环, 邵燕敏*, 汪寿阳, 汇率对中国出口的非对称影响: 基于MRSTR模型的研究, 系统工程理论与实践(EI期刊), 2016, 2016,36(9):2240-2247

100. 彭水军，张文城，卫瑞，2016，,碳排放的国家责任核算方案，经济研究, 第137-150页。

101. 刘秀丽(通讯作者)，邹庆荣，我国需水总量预测研究，系统科学与数学，2015.3，已录用

102. 王会娟，曲双石，陈锡康，2016，城乡就业相互拉动效应模型及实证分析，管理评论，Vol.28,No.1, pp.3-10. （ＣＳＳＣＩ）

103. 陈锡康，祝坤福，王会娟，刘鹏, 2016，2016年中国GDP增长速度预测与分析，载于中国科学院预测科学研究中心：2016中国经济预测与展望. 北京：科学出版社，pp. 3-12 , 2016年1月.( 61273208，71473244，71473245、71173210）

104. 陈全润，杨翠红，陈锡康, 2016, 2015年中国居民收入分析及2016年预测，载于中国科学院预测科学研究中心：2016中国经济预测与展望. 北京：科学出版社，pp.101-110 ,2016年1月. (71201162，71125005，61273208，71473244和中科院STS行动计划资助)

105. 杨翠红，陈锡康, 2016,2016年中国农业生产形势分析与展望，载于《2016年中国经济预测与展望》，pp.111-121 ,科学出版社

106. 陈锡康，杨翠红，刘秀丽，2016，全国及区域粮食产量预测-中国科学院数学与系统科学研究院陈锡康团队成果，科技成果管理与研究，2016年第7期，第63-65页

107. 万谍; 王军波; 杨晓光, 中国股市暴涨暴跌前有迹象吗? 《系统工程学报》2016年 第5期  643-656页

108. 荆中博; 杨海珍; 杨晓光, 中国银行业系统性风险的涵义、度量及影响因素——基于1996-2014年的数据,《南方金融》, 2016(2):39-46

109. 杨晓光; 鲍勤, 新常态下的中国经济转型——在阵痛中稳步前行, 《中国科学院院刊》，  2016, 31(3): 362-375

110. 张玉忠; 杨晓光，离散优化问题最优值函数的连续性质，《运筹学学报》, 2016, 20(3):79-84

111. 刘峰; 魏先华; 杨晓光，农民工汇款与城市融入程度:基于江苏三市调查数据的实证研究，《数学的实践与认识》, 2016(11):27-37

112. 贺腊容; 黄创霞; 文凤华; 杨晓光，基于复杂网络的沪深300股票重要节点的评估和分析，《经济数学》, 2016, 33(3):1-10

113. 田开兰，杨翠红，中欧光伏贸易争端对双方经济损益的影响分析，《系统工程理论与实践》 2016年第7期

114. 王珏 胡蓝艺，齐琛，汪寿阳，基于网络关注度的大宗商品市场预测研究，系统工程理论与实践，已录用。

115. 王珏，齐琛，汪寿阳，SSA-ELM的大宗商品价格预测研究，系统工程理论与实践，已录用。

116. 杨留星; 田贵良; 王珏.基于VAR模型的海港对腹地影响实证研究:以连云港港为例，管理评论，2016, 28(9):250-259。

117. 杨留星，王珏 .我国铁矿石进口价格预测的ECM-SVR混合模型，《系统工程理论与实践》 2016年第7期, 1769-1777.

118. 周永圣，王珏，刘淑琴，政府促进企业实施绿色供应链的博弈研究——基于绿色信贷的视角, 管理科学学报, 已录用。

119. 鲍勤、杨晓光，我国工业去产能、去库存进程与工业经济增长的分析，《科技促进发展》，2016，12（5）：561-572.

120. 魏云捷、崔晓杨、鲍勤、汪寿阳*，汇率波动对我国对外贸易的影响分析，《中国科学院院刊》，2016，31（9）：1074-1081.

121. 杨晓光*、鲍勤，新常态下的中国经济转型——在阵痛中稳步前行，《中国科学院院刊》，2016，31（3）：362-375.

122. 王灿，唐锡晋. 定性综合集成支持技术在灾后群众心理研究中的应用, 系统科学与数学36 (6):770-782, 2016年6月.

123.曹丽娜，唐锡晋. 定性综合集成支持技术在灾后群众心理研究中的应用, 系统科学与数学36 (5):671-682, 2016年5 月