[1]      Songmao Zhang, Ruqian Lu. ACAML – A Markup Language for Ancient Chinese Architecture. Proceedings of the 39th Annual International Conference on Computer Applications and Qualitative Methods in Archaeology (CAA2011), Beijing, China, April 12-16, 2011, pp346-356; also in the book: Revive the Past, pp285-295, Pallas Publications, Amsterdam, 2011.

[2]       Pengfei Sun, Songmao Zhang. Using Rules to Investigate the Differences in Partonomy between Biomedical Ontologies. Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2011), Atlanta, USA, November 11-15, 2011

[3]      Songmao Zhang, Ruqian Lu. ICA3D - Intelligent Computer-Aided Ancient Chinese Architecture Design. Advanced Engineering Informatics 26 (2012) 705–715. http://dx.doi.org/10.1016/j.aei.2012.04.002

[4]      Songmao Zhang. Using the Semantic Web Technologies To Support Automatic Animation. Proceedings of the 2012 IEEE 36th International Conference on Computer Software and Applications (COMPSAC 2012), Turkey, July, 2012, pp309

[5]      Kedian Mu, Zhi Jin, Weiru Liu, Didar Zowghi and Bo Wei, Measuring the significance of inconsistency in the Viewpoints framework, Science Computer Programming. 78(9): 1572-1599, 2013

[6]      Zhigang Cao, Xiaoguang Yang, Complementary cooperation, minimal winning coalitions, and power indices, Theoretical Computer Science, Volume 470, 28 January 2013

[7]      Cao Z.G., Gao H.Y., Qu X.L., Yang M.M., Yang X.G., Fashion, cooperation, and social interactions. PLoS ONE，Vol. 8, No. 1, 2013

[8]      Zhigang Cao, Xiaoguang Yang: A note on anti-coordination and social interactions. J. Comb. Optim. 26(4): 811-818 (2013)

[9]      Wanqiu Guan, Haoyu Gao, Mingmin Yang, , Yuan Li, , Haixin Ma, , Weining Qian, , Zhigang Cao, , Xiaoguang Yang, Analyzing user behavior of the micro-blogging website Sina Weibo during hot social events, Physica A, Volume 395, 1 February 2014, Pages 340–351

[10] Ai-fan Ling, Jie Sun, Xiao-guang Yang, Robust Tracking Error Portfolio Selection with Worst-case Downside Risk Measures, Accepted by Journal of Economic Dynamics and Control

[11] Yingjie Li, Xiaoguang Yang, Shushang Zhu and Donghui Li,  A HYBRID APPROACH FOR INDEX TRACKING WITHPRACTICAL CONSTRAINTS, Accepted by JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION Volume 10, Number 3, July 2014

[12] Huang Jianhuan, Yang Xiaoguang, Cheng Gang, Wang Shouyang, A comprehensive eco-efficiency model and dynamics of regional eco-efficiency in China, Journal of Cleaner Production, Available online 12 December 2013

[13] Songmao Zhang, Ruqian Lu. ICA3D - Intelligent Computer-Aided Ancient Chinese Architecture Design. Proceedings of the 2011 EG-ICE Workshop (European Group for Intelligent Computing in Engineering), University of Twente, The Netherlands, July 6-8, 2011

[14] Xing Chen* and Gui-ying Yan*, Novel human lncRNA-disease association inference based on lncRNA expression profiles. Bioinformatics， 2013，Vol. 29， no. 20,  pages 2617–2624. 

[15] Mikio Kano, Haruhide Matsuda, Masao Tsugaki , Guiying Yan，Spanning k-ended Trees of Bipartite Graphs，Discrete Mathematics，313 (2013), pp. 2903-2907

[16] Xing Chen, Riao Ren, Ming Chen, Ming-xi Liu, Wei Ren, Quan-xin Wang, Li-xin Zhang and Gui-ying Yan. ASDCD: Antifungal Synergistic Drug Combination Database. PLOS ONE. 2013 In press (SCI 3.73).

[17] Ming-xi Liu, Xing Chen, Geng Chen, Qing-hua Cui and Gui-ying Yan. A computational framework to infer human disease-associated long noncoding RNAs. PLOS ONE. 2013 In press (SCI 3.73).

[18] Geng Chen, Zi-yun Wang, Dong-qing Wang, Cheng-xiang Qiu, Ming-xi Liu, Xing Chen, Qi-peng Zhang, Gui-ying Yan* and Qing-hua Cui*，LncRNADisease: a database for long noncoding RNA associated diseases. Nucleic Acids Research, 2013 Jan;41(Database issue):D983-6

[19] Xia ZHANG，Guiying YAN，Jiansheng CAI， f-Class Two Graphs Whose f-Cores have Maximum Degree Two，Acta Mathematica Sinica, English Series，已接受

[20] Jiansheng CAI，Changchun Teng，Changchun Teng， A sufficient condition for planar graphs with maximum degree 8 to be 9-totally colorable，Acta Mathematica Sinica, English Series，已接受。

[21] Wu Yu Wen, Improved upper bounds on acyclic edge colourings, Acta Mathematicae Applicatae Sinica (English Series), 已接受。

[22] Laihao Ding, Guanghui Wang, Guiying Yan, Neighbor sum distinguishing total colorings via the Combinatorial Nullstellensatz,Science in China, 已接受。

[23] Xing Chen, Ming Xi Liu, Guiying Yan*, Qing Hua Cui*, Prediction of disease-related interactions between microRNAs and environmental factors based on a semi-supervised classifier, PLoS ONE, 7(8), 1-10, 2012. 

[24] Baoyin Wu, Xinhui An, Guojie Liu, Guiying Yan, Xiaoping Liu, Minimum degree, edge-connectivity and radius, Journal of Combinatorial Optimization, (2012), DOI 10.1007/s10878-012-9479-6

[25] Baoyin Wu, Xingchao Deng, Xinhui An,  Guiying Yan, A Note on Semi-coloring of Graphs, Graphs and Combinatorics, July 2013, Volume 29, Issue 4, 1135-1140. 

[26] Cai J.S., Wang G.H., Yan G.Y., Planar graphs with maximum degree 8 and without intersecting chordal 4-cycles are 9-totally colorable, Science in China, (2012), 55(12): 2601-2612.  

[27] Xing Chen, Ming Xi Liu, Guiying Yan, RWRMDA: predicting novel human microRNA-disease associations，Molecular BioSystems，(2012), 8(10), 2792-2798, 2012. 

[28] Xing Chen, Ming Xi Liu, Guiying Yan*, Drug–target interaction prediction by random walk on the heterogeneous network, Molecular BioSystems，vol. 8 (2012), 151-167.( Top ten most accessed articles in June) 

[29] Tang X J.  Exploring On-line Societal Risk Perception for Harmonious Society Measurement. Journal of Systems Science and Systems Engineering, Vol.22, No.4,  December 2013. (刊号：ISSN 1004-3756)

[30] Wei C.P., Tang X J. Wang X J. Linguistic Multi-attribute Decision Making with a Prioritization Relationship. International Journal of Knowledge and Systems Science, 4(4): October – December 2013  [SCI, EI][31] Li Z. P., Tang X J. Collective Threshold Model Based on Utility and Psychological Theories. International Journal of Knowledge and Systems Science, 4(4), October-December 2013.[32] Zhang Xinyu, Lu Zudi and Zou Guohua (2013). Adaptively combined forecasting for discrete response time series.  Journal of Econometrics, 176(1), 80-91.

[33] Wang Haiying, Zou Guohua and Wan ATK (2013). Adaptive lasso for varying-coefficient partially linear measurement error models.  Journal of Statistical Planning and Inference, 143(1), 40-54.

[34] Chen Xinjie, Zou Guohua* and Zhang Xinyu (2013). Frequentist model averaging for linear mixed-effects models.  Frontiers of Mathematics in China, 8(3), 497-515. (*通讯作者)

[35] Zhang Xinyu, Zou Guohua and Liang Hua (2013). Choice of weights in FMA estimators under general parametric models. Science in China Ser.A, 56(3), 443-457.

[36] Zhang Xinyu, Wan ATK and Zou Guohua (2013). Model averaging by Jackknife criterion in models with dependent data.  Journal of Econometrics, 174(2), 82-94.

[37] Qiang Huang, Ling-Yun Wu, Xiang-Sun Zhang. Corbi: A new R package for biological network alignment and querying. BMC Systems Biology, 7(S2):S6, 2013.

[38] Qiang Huang, Ling-Yun Wu, Yong Wang, and Xiang-Sun Zhang. GOMA: Functional enrichment analysis tool based on GO modules. Chinese Journal of Cancer, 32(4):195-204, 2013.

[39] Yan Xu, Jun Ding, Ling-Yun Wu, and Kuo-Chen Chou. iSNO-PseAAC: Predict cysteine s-nitrosylation sites in proteins by incorporating position specific amino acid propensity into pseudo amino acid composition. PLoS ONE, 8(2):e55844, 2013.

[40] Yan Xu, Xiao-Jian Shao, Ling-Yun Wu, Nai-Yang Deng and Kuo-Chen Chou. iSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteine S-nitrosylation sites in proteins. PeerJ, 1:e171, 2013.

[41] Peter Csermely, Andras London, Ling-Yun Wu, and Brian Uzzi. Structure and dynamics of core/periphery networks. Journal of Complex Networks, 1:93-123, 2013.

[42] Peter Csermely, Janos Hodsagi, Tamas Korcsmaros, Dezso Modos, Aron R. Perez-Lopez, Kristof Szalay, Daniel V. Veres, Katalin Lenti, Ling-Yun Wu, and Xiang-Sun Zhang. Cancer stem cells display extremely large evolvability: alternating plastic and rigid networks as a potential mechanism. Seminars in Cancer Biology, in press, 2013.

[43] Yongcui Wang and Yong Wang. Computational Study of Drugs by Integrating Omics Data with Kernel Methods. Molecular Informatics. In press, 2013.

[44] Pengjun Zhang, Meng Zou, Xinyu Wen, Feng Gu, Juan Li, Gaixia, Liu, Jingxiao, Dong, Xinxin Deng, Jing Gao, Xiaolong Li, Xingwang Jia, Zhennan Dong, Luonan Chen, Yong Wang, Yaping Tian. Development of Serum Parameters Panels for the Early Detection of Pancreatic Cancer, International Journal of Cancer, in press, 2013.

[45] Yong Wang, Xiang-Sun Zhang, and Luonan Chen. Computational systems biology in the big data era, BMC Systems Biology, 2013, 7(Suppl 1):S1.

[46] Yongcui Wang, Nai-Yang Deng, Shi-Long Chen, Yong Wang. Drug repositioning by kernel integration molecular structure, molecular activity, and phenotype data. PLoS One. 8(11): e78518, 2013.

[47] Tao Zeng, Shao-Yan Sun, Yong Wang, Hailong Zhu, and Luonan Chen. Network biomarkers reveal dys-functional gene regulations during disease progression. FEBS Journal. Vol. 280, No. 22,5682C5695, 2013.

[48] Shao-Yan Sun, Tao Zeng, Zhi-Ping Liu, YongWang, and Luonan Chen. Spatio-temporal analysis of type 2 diabetes mellitus based on differential expression networks. Scientific Report, 3, 2268; DOI:10.1038/srep02268, 2013.

[49] Zhong-Yuan Zhang, Yong Wang, and Yong-Yeol Ahn. Overlapping community detection in complex networks using symmetric binary matrix factorization. Physical Review E. 87, 062803, 2013.

[50] Xianwen Ren, Yong Wang, Xiang-Sun Zhang, and Qi Jin. iPcc: a novel feature extraction method for accurate disease class discovery and prediction. Nucleic Acids Research. Vol. 41, No. 4, e143, 2013.

[51] Zikai Wu, Yong Wang, and Luonan Chen. Network-based drug repositioning Mol. BioSyst. 2013, 9 (6), 1268-1281.

[52] Yongcui Wang, Nai-Yang Deng, Shi-Long Chen, Yong Wang. Network predicting drug’s anatomical therapeutic chemical code. Bioinformatics, 2013 29: 1317-1324.

[53] Zikai Wu, Yong Wang, and Luonan Chen. Drug repositioning framework by incorporating functional information IET Systems Biology, 2013 7(5):188-194.

[54] Junhua Zhang, Shihua Zhang, Yong Wang, Xiang-Sun Zhang. Integrating somatic mutation, copy number variation, and gene expression data to identify mutated core modules in cancers. BMC Systems Biology, 2013, 7(Suppl 1):S4.

[55] Qiang Huang, Ling-Yun Wu, Yong Wang, and Xiang-Sun Zhang. GOMA: Functional enrichment analysis tool based on GO modules. Chinese Journal of Cancer. 32(4):195-204, 2013.

[56] Xianwen Ren, Yong Wang, Luonan Chen, Xiang-Sun Zhang, and Qi Jin. ellipsoidFN: a tool for identifying a heterogeneous set of cancer biomarkers based on gene expressions Nucleic Acids Research. 2013 41: e53.

[57] Ying Wang, Xiaowei Chen, Zhi-Ping Liu, Qiang Huang, Yong Wang, Derong Xu, Xiang-Sun Zhang, Runsheng Chen and Luonan Chen. De novo prediction of RNACprotein interactions from sequence information, Mol. BioSyst., 2013, 9, 133–142.

[58] Yong Wang. Bioinformatics studies on induced pluripotent stem cell, Current Bioinformatics, 2013, Vol. 8. No. 1. 80–87.

[59] Xujin Chen, Xiaodong Hu, Weidong Ma, Changjun Wang， Reducing price of anarchy of selfish task allocation with more selfishness, Theoretical Computer Science, 507 (2013), 17-33.

[60] Xiang Li，Xiaodong Hu，Wonjun Lee，On the union of intermediate nodes of shortest paths, Journal of Combinatorial Optimization, 26 (1) (2013), 82-85.

[61] Xiuli Liu（Corresponding Author）, A grey neural network and input-output combined forecasting model and its application in primary energy related CO2 emissions estimation by sector in China (EI), Energy Procedia, 2013, 36:815–824.

[62] Xiuli Liu（Corresponding Author）, Geoffrey J. D. Hewings, Xikang Chen, Shouyang Wang , A Multi-Factor Decomposing Model and Its Application in Finding Impacting Factors of Beijing Water Use Efficiency, Journal of Chemical and Pharmaceutical Research (EI), 2013, Accepted.

[63] Zou Cui, Xiuli Liu（Corresponding Author）, Urban Building Energy Consumption Calculation with the IPAT Theory, Advanced Materials Research (EI), 2013, 689: 482-486.

[64] 邹璀，刘秀丽（Corresponding Author），山东省粮食产量预测研究，系统科学与数学(EI)，2013,33(1):97-109.

[65] Jue Wang, Wei Xu, Jian Ma, Shouyang Wang, A Vague Set Based Decision Support Approach for Evaluating Research Funding Programs, European Journal of Operational Research , Vol. 230,  pp. 656-665, 2013. (SCI)

[66] Jue Wang, Qi Zang, Abdel-Rahman Hedarb, Abdel-Monem M. Ibrahimc. A rough set approach to feature selection based on Scatter Search metaheuristic. Journal of Systems Science and Complexity. In Press. (SCI)

[67] HailongYang, ShouyangWang, Jue Wang，Fuzzy probabilistic rough set model on two universes and its applications. International Journal of Approximate Reasoning, Vol. 54, pp.1410-1420, 2013. (SCI)

[68] G. Xie, S. Wang, Y. Zhao, K.K. Lai, Hybrid approaches based on LSSVR model for container throughput forecasting: A comparative study, Applied Soft Computing 13 (5) (2013) 2232-2241.（SCI）

[69] G. Xie, Y. Zhao, M. Jiang, N. Zhang, A novel ensemble learning approach for corporate financial distress forecasting in fashion and textiles supply chains, Mathematical Problems in Engineering, vol. 2013, Article ID 493931, 9 pages, 2013. doi:10.1155/2013/493931.（SCI）

[70] Y. Zhao, L. Ma, G. Xie, Coordination of supply chains with bidirectional option contracts, European Journal of Operational Research 229 (2013) 375-381. （SCI）

[71] G. Xie, Modeling decision processes of a green supply chain with regulation on energy saving level, Computers & Operations Research, in press. （SCI）

[72] Xie, H., X. Zhang and S. Wang, 2013. The more the better: forecasting oil price with decomposition-based vector autoregressive model, International Journal of Energy Statistics, 1(1): 45-53, DOI: 10.1142/S233568041350004X

[73] Xu, L., S. Fang, and X. Zhang, 2013. Transport costs and china's exports: some empirical evidences, to appear in Journal of Systems Science & Complexity, 25(6): 365-382

[74] Xiao Yi, Xiao Jin, Lu Fengbin, Wang Shouyang, 2013. Ensemble ANNs-PSO-GA approach for day-ahead stock E-exchange prices forecasting. International Journal of Computational Intelligence Systems (SCI), 6(1), 96-114.

[75] Qin Bao, Ling Tang, Zhongxiang Zhang, Shouyang Wang, 2013, Impacts of border carbon adjustments on China’s sectoral emissions: Simulations with a dynamic computable general equilibrium model , China Economic Review, 24: 77-94.

[76] Ziran Li ，Qin Bao， Shouyang Wang， Siwei Cheng, 2013, An empirical analysis of the relationship between Chinese RMB fluctuation and US overall unemployment, Review of Pacific Basin Financial Markets and Policies, 16(1).

[77] Cui Z.W. ， Li Z.R. (Corresponding Author) ， Zhang J. ， Zu L., R&D networks with strategic substitutability, accepted by Review of Development Economics (SSCI).

[78] Li Z.R. Sun J.J., Wang, S.Y. An Information Diffusion-Based Model of Oil Futures Price, Energy Economics, 2013, 36, 518–525 (SSCI/ EI ).

[79] Li Z.R. , Bao Q., Wang, S.Y., Cheng S.W. An Empirical Analysis on the Relationship between Chinese RMB Fluctuation and US Overall Unemployment. Review of Pacific Basin Financial Markets and Policies, 2013, 16, 1350006-1-18.

[80] Ziran Li , Hongmei Chen, Ying Gao. Is there an Intertemporal Risk-return Trade-off for Chinese Stock Markets", 2013, AISS (EI), 5(5) pp. 66–73.

[81] Zhang, Z. Y., Shi, M. J., Zhao, Z. 2013. The compilation of China interregional input-output model 2002. Economic Systems Research (SSCI) (accepted).

[82] ]Ling Tang, Chenghao Wang, Shuai Wang. Energy Time Series Data Analysis based on a Novel Integrated Data Characteristic Testing Approach. Procedia Computer Science.17, 2013, 759–769.

[83] Ling T, Shuai W, Kaijian H Shouyang Wang. A Novel Mode-Characteristic-based Decomposition Ensemble Model for Nuclear Energy Consumption Forecasting. Annals of Operations Research. Accepted.

[84] Rongbao Gu, Yanmin Shao, Qingnan Wang. Is the efficiency of stock market correlated with multifractality? An evidence from the Shanghai stock market, Physica A: Statistical Mechanics and its Applications, 2013, 392(2):361–370.(SCI)

[85] Hongquan Li, Mengyun Tanga, Wei Shang, Shouyang Wang. Securities Transaction Tax and Stock Market Behavior in an Agent-based Financial Market Model. Procedia Computer Science, vol 18, pp: 1764-1773

[86] Yan Qu, Wei Shang, and Shouyang Wang. Webpage Mining for Inflation Emergency Early Warning. Web-Age Information Management. Lecture Notes in Computer Science Volume 7901, 2013, pp 211-222

[87] Jianhui Li, Yuanchun Zhou, Wei Shang, Cungen Cao, Zhihong Shen, Fenglei Yang, Xiao Xiao, and Danhuai Guo. "A cloud Computation Architecture for Unconventional Emergency Management." Web-Age Information Management. Springer Berlin Heidelberg, 2013. 187-198.

[88] Xujin Chen, Xiaodong Hu, Weidong Ma, Changjun Wang, Reducing price of anarchy of selfish task allocation with more selfishness, Theoretical Computer Science 507 (2013) 17-33.

[89] Xujin Chen, Leah Epstein, Elena Kleiman, Rob van Stee, Maximizing the minimum load: The cost of selfishness. Theoretical Computer Science 482 (2013) 9-19.

[90] Xujin Chen, Benjamin Doerr, Xiaodong Hu, Weidong Ma, Rob van Stee, Carola Winzen, The price of anarchy for selfish ring routing is two, ACM Transactions on Economics and Computation, to appear.

[91] Zhigang Cao, Xujin Chen, Changjun Wang, Schedules for marketing products with negative externalities, Theoretical Computer Science, to appear.

[92] 许焱，金芝，李戈，魏强，基于多Web信息源的主题概念网络获取，计算机研究与发展，50(9)：1843-1854，2013

[93] 魏强，金芝，李戈，李力行，物联网服务发现初探：传统SOA的可行性和局限性，计算机科学与探索， 7 (2): 97-113，2013

[94] 尹斌，金芝，李智，问题框架方法的可靠性关注点及系统可靠性增强模式，计算机学报，36(1): 74-87, 2013

[95] 杨晓光; 鲍勤; 杨翠红，新起点——中国经济发展格局的转变与政策选择   中国科学院院刊  2013-01-15 

[96] 杨晓光; 鲍勤，2013年中国经济形势展望   中国科学院院刊  2013-01-15

[97] 王碧峰; 何青; 杨晓光，基于风险-收益模型的外汇储备币种结构的多因素分析   管理评论  2013-02-28 

[98] 凌爱凡; 杨晓光; 唐乐， 具有多元权值约束的鲁棒LPM积极投资组合 管理科学学报  2013-08-15  

[99] 任德平; 龚旭; 文凤华; 杨晓光， 中国股票投资者的处置效应检验和参考价格选择 中国管理科学  2013-06-15 

[100]             尹筑嘉; 杨晓光; 黄建欢，大股东主导的资产重组、公司效率与利益侵占——基于中国重组类整体上市案例的研究   管理科学学报  2013-08-15 

[101]             汪欢; 王晓霞; 杨天光; 杨晓光，次贷危机前后我国各行业上市公司市场风险关联研究   中国证券期货  2013-01-25 

[102]             杨海珍; 熊园; 杨晓光， 人民币汇率参考一篮子货币的结构性变动实证研究 数学的实践与认识  2013-06-23 

[103]             李军; 曹震; 杨晓光，报表系统中公式依赖关系分析及计算性能优化   计算机工程与设计  2013-06-16 

[104]             李军; 杨晓光，全面风险管理信息系统建设思路   金融电子化  2012-12-15

[105]             李振鹏，唐锡晋. 社会影响、观点动向和结构平衡: 基于Hopfield 网络模型仿真研究. 系统工程理论与实践, 33(2):420-429, 2013年2月. [EI]

[106]             李振鹏，唐锡晋. 外生变量和非正社会影响推动群体观点极化.管理科学学报, 16 (3):73-81, 2013年3月. [核心期刊]

[107]             罗斌，唐锡晋. 关于大陆"社会网络"研究的iView分析及知识视图. 系统工程理论与实践, 33 (7): 1661-1671, 2013年7月. [EI]

[108]             刘若阳，崔晋川. 油田A类物资采购决策支持系统研究，运筹学学报，第17卷，第3期，2013年9月，P23－34

[109]             李晖，陈锡康，2013，基于结构分解的中国农村居民收入分析1997-2007，《数学的实践与认识》，2013,43(5): 179-185.

[110]             李晖，陈锡康,2013,基于人口投入产出模型的中国人口结构预测及分析, 管理评论,Vol.25, No.2.pp. 29-34. (CSSCI)

[111]             李晖，陈锡康, 2013, 2013-基于SDA结构分解的中国农村居民收入分析1997-2007,数学的实践与认识,Vol.43, No.5.pp. 179-185.

[112]             祝坤福，陈锡康，杨翠红，2013，中国出口的国内增加值及其影响因素分析，国际经济评论，2013年第4期，第116-127。

[113]             段玉婉，蒋雪梅，陈锡康，杨翠红，2013，最终需求对经济拉动效率的变化，系统工程理论与实践，Vol. XX, No.X, pp. 993-999.

[114]             王玉静，蒋雪梅，陈锡康，2013，基于扩展Almom算法的产业部门类型投入产出表的编制方法，系统工程理论与实践，Vol.33，No.8，pp.1993-1997.

[115]             陈锡康、祝坤福、王会娟，2013，2013年我国GDP增长速度预测与经济走势分析. 载于《2013年中国经济预测与展望》，p.3-10.科学出版社。

[116]             杨翠红 陈锡康, 2013年农业生产形势与展望, 载于《2013年中国经济预测与展望》，p.85-96,科学出版社

[117]             段玉婉，祝坤福，陈锡康，杨翠红. 区分内外资和贸易方式的非竞争型投入产出模型.《系统工程理论与实践》，已录用.

[118]             刘秀丽（Corresponding Author），邹璀，韩一杰，全国及九大流域5类用水影子价格的计算与预测研究，水利水电科技进展，2013.5，已接收

[119]             张标，刘秀丽（Corresponding Author），河北省分季粮食产量预测研究，农业展望，2013, 9(8):42-47.

[120]             孔亦舒，邹璀，刘秀丽（Corresponding Author），2013年山东省粮食产量预测研究，数学的实践与认识，2013.10，已接收

[121]             张戈，王珏。 房地产价格对我国房地产股票超额收益的影响研究，管理评论，录用。

[122]             张恩瑜，王珏。基于Vague集多准则决策的国家自然科学基金资助项目综合评价，管理科学学报，录用。

[123]             周璞，陆凤彬，汪寿阳，2013. 沪深300股指期货与现货市场的非线性信息溢出与价格发现功能研究. 财务与金融, 3, 1-7

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