1.Bin Zhang, Shuyan Chen*，litiezhu, Yongfeng Ma, kun tang., Analysis on spatiotemporal urban mobility based on online car-hailing data. Journal of transport Geography, 2020, 82: 102568,1-8. https://doi.org/10.1016/j.jtrangeo., JCR 1区 IF：3.560 WSO: 510953900016

2.Pan, Y., S. Chen*, S. Niu, Y. Ma, and K. Tang. Investigating the impacts of built environment on traffic states incorporating spatial heterogeneity. Journal of Transport Geography, 83C, 2020, 102663，1-14. (SCI，1区，影响因子：3.560), WSO:000528597500015, Corresponding Author: Shuyan Chen

3.Yingjiu Pan, Fengxiang Qiao, Kun Tang, Shuyan Chen, Satish V. Ukkusuri*. Understanding and estimating the carbon dioxide emissions for urban buses at different road locations: A comparison between new-energy buses and conventional diesel buses, Science of the total environment, 703, 2020, 135533, https://doi.org/10.1016/j.scitotenv.2019.135533 （JCR 1区 影响因子：5.589）WOS:000505924300213

4.Yongfeng Ma,⁎, Kun Tang, Shuyan Chen,⁎, Aemal J. Khattak, Yingjiu Pan . On-line aggressive driving identification based on in-vehicle kinematic parameters under naturalistic driving conditions. Transportation Research Part C: Emerging Technologies, May 2020, Volume 114, Pages 554-571, https://doi.org/10.1016/j.trc.2020.02.028（JCR 1区 影响因子：5.775）

5.Yongfeng Ma, Hongcheng Meng, Shuyan Chen, Jiguang Zhao, ,Shen Li, Qiaojun Xiang, Predicting Traffic Conflicts for Expressway Diverging Areas Using Vehicle Trajectory Data, J. Transp. Eng., Part A: Systems, 2020, 146(3): 04020003.

6.Sajjad M, Ma Y*, Chen S, Tang K, Zhang Z. Investigating the Trip Configured Causal Effect of Distracted Driving on Aggressive Driving Behavior for E-hailing Taxi Drivers. Journal of Traffic and Transportation Engineering (English Edition), 2020. In press

7.Shuyan Chen*,Yingling Fan, Yang Cao, Aemal Khattak. Assessing the relative importance of factors influencing travel happiness, Travel Behaviour and Society, 2019. https://doi.org/10.1016/j.tbs.2019.01.002. (SCI)

8.Pan, Y., S. Chen*, F. Qiao, S. V. Ukkusuri, and K. Tang. Estimation of Real-Driving Emissions for Buses Fueled with Liquefied Natural Gas Based on Gradient Boosted Regression Trees. Science of The Total Environment, Vol. 660, 2019, pp. 741–750. https://doi.org/10.1016/j.scitotenv.2019.01.054. (SCI: Q1, IF 4.610)

9.Kun Tang, Shuyan Chen*, and Zhiyuan Liu. Citywide spatial-temporal travel time estimation using big and sparse trajectories. IEEE Transactions on Intelligent Transportation Systems, 2018, 19(12),:1-12, DOI: 10.1109/TITS.2018.280

10.3085. (SCI: Q1, IF: 4.051).

11.Kun Tang, Shuyan Chen*, Zhiyuan Liu, Aemal Khattak. A tensor-based Bayesian probabilistic model for citywide personalized travel time estimation. Transportation Resrach Part C: Emerging Technologies, 2018, 90:260-280, DOI: 10.1016/j.trc.2018.03.004. (SCI: Q1, IF: 3.968)

12.Kun Tang, Shuyan Chen*, Aemal Khattak. Personalized travel time estimation for urban road networks: A tensor-based context-aware approach, Expert Systems with Applications. 2018, 103: 118-132, DOI: 10.1016/j.eswa.2018.02.033. (SCI: Q1, IF: 3.768)

13.Shuyan Chen,Wei Wang, Henk van Zuylen. A comparison of outlier detection algorithms for ITS data, Expert Systems with Applications, 2010, 37 (2),1169-1178. (SCI)

14.Shuyan Chen,Wei Wang, Henk van Zuylen. Construct support vector machine ensemble to detect incident. Expert systems with applications, 36 (2009), pp. 10976-10986. (SCI)

15.Shuyan Chen,Wei Wang. Decision tree learning for Freeway Automatic Incident Detection. , Expert systems with applications, Volume 36, Issue 2, Part 2, March 2009, Pages 4101-4105. (SCI)

16.Kun Tang, Shuyan Chen, Aemal Khattak. A spatial-temporal multi-task collaborative learning model for multi-Step traffic flow prediction. Transportation Research Record，2018.12, 2372(45)：1-13. DOI: 10.1177/0361198118790330 (SCI: Q3, IF: 0.748). WOS号：WOS:000467532100001.

17.Yingjiu Pan, Shuyan Chen, Qiao Fengxiang, Bin Zhang and Saisai Li. 2018.Characteristics Analysis and Modeling of Emissions for Bus with Liquefied Natural Gas Fuel System in Real World Driving, Transportation Research Record: Journal of the Transportation Research Board，2018.12, 2672(25)：46-56, WOS号：WOS:000467123600005. DOI: 10.1177/0361198118780826.

18.Yingjiu Pan, Shuyan Chen, Tiezhu Li, Shifeng Niu, Kun Tang. Exploring spatial variation of the bus stop influence zone with multi-source data: a case study in Zhenjiang, China. Journal of transport geography. 2019, 76, 166-177. DOI: 10.1016/j.jtrangeo.2019.03.012 WOS:000470950500015 （JCR 1,IF：3.560）

19.Tang, K., Chen, S. and Khattak, A. J..2019. Deep architecture for citywide travel time estimation incorporating contextual information. Journal of Intelligent Transportation Systems- Technology, Planning, and Operations, 2019.05, 1547-2450:1-18, https://doi.org/10.1080/15472450.2019.1617141. WOS:000473615000001. (SCI: Q2, IF: 2.568)

20.Bin Zhang, Shuyan Chen，litiezhu, Yongfeng Ma, kun tang., Analysis on spatiotemporal urban mobility based on online car-hailing data. Journal of transport Geography, 2020 (JCR 1, IF：3.560)

21.Yongfeng Ma,⁎, Kun Tang, Shuyan Chen,⁎, Aemal J. Khattak, Yingjiu Pan . On-line aggressive driving identification based on in-vehicle kinematic parameters under naturalistic driving conditions. Transportation Research Part C: Emerging Technologies, Volume 114, May 2020, Pages 554-571

22.Yongfeng Ma, Hongcheng Meng, Shuyan Chen, Jiguang Zhao, ,Shen Li, Qiaojun Xiang, Predicting Traffic Conflicts for Expressway Diverging Areas Using Vehicle Trajectory Data, J. Transp. Eng., Part A: Systems, 2020, 146(3): 04020003.

23.Yingjiu Pan, Shuyan Chen, Shifeng Niu, Yongfeng Ma, Kun Tang. Exploring the spatiotemporal impacts of built environment on traffic states using multi-source data, Journal of Transport Geography, 2020.

24.Zhang,Bin; Chen,Shuyan. Online car-hailing trip purpose inference based on spatiotemporal attribute, CICTP 2019: Transportation in China - Connecting the World - Proceedings of the 19th COTA International Conference of Transportation Professionals, 2019, July 6-8：6010-6021, EI, DOI: 10.1061/9780784482292.516, Conference code: 149754

25.Pan, Y., S. Chen, F. Qiao, S. V. Ukkusuri, and K. Tang. Estimation of Real-Driving Emissions for Buses Fueled with Liquefied Natural Gas Based on Gradient Boosted Regression Trees. Science of The Total Environment, Vol. 660, 2019, pp. 741–750. https://doi.org/10.1016/j.scitotenv.2019.01.054. WOS:000457725700076 (SCI: Q1, IF 5.589)

26.Yingjiu Pan, Fengxiang Qiao, Kun Tang, Shuyan Chen, Satish V. Ukkusuri. Understanding and estimating the carbon dioxide emissions for urban buses at different road locations: A comparison between new-energy buses and conventional diesel buses, Science of the total environment, 2019, 135533, https://doi.org/10.1016/j.scitotenv.2019.135533

27.Kun Tang, Shuyan Chen, Aemal Khattak, and Yingjiu Pan. On-Line aggressive driving identification based on in-vehicle kinematic parameters under naturalistic driving conditions. Transportation Research Part C: Emerging Technologies. 2019.（JCR 1. IF：5.775）

28.Yongfeng Ma, Ziyu Zhang, Shuyan Chen, et al. A Comparative Study of Aggressive Driving Behavior Recognition Algorithms Based on Vehicle Motion Data, IEEE Access,On page(s): 1-11,Print ISSN: 2169-3536,Online ISSN: 2169-3536, Digital Object Identifier: 10.1109/ACCESS.2018.2889751

29.Ma, Y., Zhang, W., Tang, K., Chen, S. and Tao, N., 2018. “Effectiveness evaluation of barrier-free traffic facilities for visually impaired people: a case study in Nanjing, China”. Transportation Research Record: Journal of the Transportation Research Board. (SCI: Q3, IF: 0.695)

30.Ma, Y., Yu, Y., Chen, S. and Tang, K., 2018. “Factors affecting driver’s perceptual bias of aggressive driving behavior in China”. Transportation Research Record: Journal of the Transportation Research Board. (SCI: Q3, IF: 0.695)

31.Ma, Y., Zhang, Z., Chen, S., Yu, Y. and Tang, K., 2018. “A comparative study of aggressive driving behavior recognition algorithms based on vehicle motion data”. Transportation Research Record: Journal of the Transportation Research Board. (SCI: Q3, IF: 0.695)

32.Song Ningning;Chen Shuyan;Chen Qian;Lao Yechun. Analysis of drivers' travel behavior under variable message sign conditions, CICTP 2017: Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation - Proceedings of the 17th COTA International Conference of Transportation Professionals, EI; SCOPUS, 2018-January, pp:623-632. https://doi.org/10.1061/9780784480915.064，检索号9780784480915

33.Yang Cao，Shuyan Chen，Zhongbin Xiao. Analysis of Pedestrian Violation Behavior Based on Herd Mentality. January 2018, DOI: 10.2991/ifmeita-17.2018.104, Conference: 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)

34.Fangwei Zhang, Shuyan Chen, Jianbo Li, Weiwei Huang. New distance measures on hesitant fuzzy sets based on the cardinality theory and their application in pattern recognition, SOFT COMPUTING， 2018，22（4）：1237-1245，WOS号：WOS:000426566200015，EI; SCOPUS; SCIE

35.Yingjiu Pan, Shuyan Chen, Fengxiang Qiao, et al. Characteristics Analysis and Modeling of Emissions for LNG Bus in Real World Driving[C]. 2018 TRB

36.Yechun Lao, Shuyan Chen. Combined PCA and NB to Predict Traffic Incident Duration，ITASC 2017 (EI 20171603584765)

37.Ningning Song, Shuyan Chen. .Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast University, Nanjing, China, P.O. Box 2100096。Analysis of Drivers’ Travel Behavior under Variable Message Sign Conditions，CICTP2017 ((EI )

38.Jiping Xing, Shuyan Chen. School of Transportation, Southeast Univ., Nanjing, Jiangsu Province, China，the impact of waiting time on pedestrian violations at signalized intersections，Third International Conference on Civil Engineering and Urban Planning (CEU-2017) (EI )

39.Liu Liangyun, Chen Shuyan, Li Tao. Real-Time Traffic Estimation with Incomplete Information under Urban Traffic Network. International Conference on Smart City & System, 2017:163-166. (EI)

40.Yechun Lao, Shuyan Chen, Ningning Song, Combined PCA and NB to Predict Traffic Incident Duration, Apr 2017, International Symposium for Intelligent Transportation and Smart City.

41.Wei Wang, Shuyan Chen, et al. Incident detection algorithm based on partial least squares regression. Transportion research part C, 2008, 16(1): 54-70.(SCI)

42.Jian Lu, Shuyan Chen,Wei Wang, Henk van Zuylen. A Hybrid Model of Partial Least Squares and Neural Network for Traffic Incident Detection, Expert Systems With Applications2012，39,4775-4784（SCI）

43.Jian Lu, Shuyan Chen,Wei Wang, Bin Ran. Traffic Automatic Incident Detection based on nFOIL，Expert Systems With Applications，2012，39, 6547–6556（SCI）

44.Shuyan Chen and Wei Wang (2006): Traffic volume forecasting based on wavelet transform and neural networks. Lecture Notes in Computer Science, 3973 LNCS,1-7. (SCI)

45.Jian Gu and Shuyan Chen, Traffic Speed Time Series Short Term Forecasting Using Aggregated Model, Discrete Dynamics in Nature and Society, vol. 2014, 2014（SCI）

46.Shuyan Chen. Traffic Incident Detection Based On Partial Least Squares and Neural Networks, Postdoctor report, Technology University of Delft, 2009.03

47.Wei Wang, Shuyan Chen and Xiaojian Hu. Novel integrated method of bus speed guidance and dispatching based on "one route one line and run straight mode" [ J ]. Journal of Southeast University (Natural Science Edition), 2008, 38(6) : 1110-1115.

48.Shuyan Chen Wei Wang, and Gaofeng Qu. Outlier detection in traffic data sets serving for intelligent transportation system [J]. Journal of Southeast University (Natural Science Edition), 2008, 38 (4) : 723-726.

49.Shuyan Chen Wei Wang, and Jian Lu. Data analysis with outlier detection to detect pavement roughness, International conference of Chinese logistics and transportation professionals, 2008, Chengdu, China, 2602-2607

50.Gaofeng Qu, Shuyan Chen and, Qingbao Zhu, etc. Determine traffic signal timing plan with particle swarm optimization, Journal of Computational Information Systems ,2008,4(4): 2809-2816.

51.Wei Wang, Shuyan Chen and Gaofeng Qu. Shuyan Chen, Wei Wang, et al. Comparison between partial least square and support vector machine for freeway incident detection, Proceedings of the 2007 IEEE Intelligent Transportation Systems Conference, Seattle, WA, USA, Sept. 30 - Oct. 3, 2007, 190-195.

52.Shuyan Chen, Wei Wang, et al. Traffic Incident Detection- A Rough Sets Approach, Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, Hong Kong, 19-22 August 2007, pp.3734-3739.

53.Hailin CHEN, Shuyan CHEN, Zhenyu LIU, and Henhong LIANG, Development of Management System of Traffic Monitoring Resource Based on GIS, (11th International Conference of Chinese Transportation Professionals) ICCTP 2011,1063-1072.(EI, 20114014393123)

54.Changjiang Zheng, Qiang Zhou, Shuyan Chen, and Zhangxiao Yu. Urban Road Traffic Incident Auto-Detecting Based on Decision Fusion, ICCTP 2011, 1348-1359. (EI)

55.Wei-wei Wu, Shuyan Chen, and Chang-jiang Zheng. Traffic Incident Duration Prediction Based on Support Vector Regression, ICCTP 2011, 2412-2421. (EI, 20114014393275)

56.Jian Gu, Shuyan Chen. Forecasting the short-term traffic flow based on wavelet transform and support vector regression, ICTIS 2013: Improving Multimodal Transportation Systems-Information, Safety, and Integration. pp. 1046-1052.

57.Xuanqiang Wang, Shuyan Chen, Wenchang Zheng. Analysis of Regression Method on Traffic Incident Duration Prediction, The 2nd International Conference on Transportation Information and Safety； ICTIS 2013: pp. 1008-1015

58.Xuanqiang Wang, Shuyan Chen, Wenchang Zheng. Traffic incident duration prediction based on partial least squares regression, COTA International conference of transportation professionals (CICTP 2013). COTA International Conference of Transportation Professionals CICTP2013, pp.425 – 432

59.Xuanqiang Wang, Shuyan Chen, Jian Gu, Wenchang Zheng. Traffic incident duration analysis based on cyclic subspace regression, The Fourth International Conference on Transportation Engineering； ICTE 2013: pp. 2854-2860.

60.Wenchang Zheng, Shuyan Chen, etc. An Imbalanced Datasets Based SVDD-AID Algorithm, American Society of Civil Engineers, ICTIS 2013, 1178-1184.

61.Jian Gu, Shuyan Chen. Traffic Speed Time Series Short Term Forecasting Using Aggregated Model, 2014 International Conference on Civil Engineering, Architecture and Building materials, Applied mechanics and materials vols.587-589(2014,July),pp:2057-2062.

62.Jian Gu, Shuyan Chen.Urban expressway density analysis based on the cusp catastrophe theory, CEBM2014-4th International Conference on Civil Engineering and Building Materials, Hongkong, 2014.11.22-24 (EI)

63.Miaohua Li, Shuyan Chen. Use Subsampling to Solve Imbalanced Dataset Problem for Automatic Incident Detection Algorithm, 2014 International Conference on Civil Engineering, Architecture and Building Materials (CEABM 2014)， Applied Mechanics and Materials Vols. 587-589 (2014),pp 2114-2119. (EI)

64.Miaohua Li, Shuyan Chen. Resampling Methods for Solving Class Imbalance Problem in Traffic Incident Detection, Applied Mechanics and Materials, 2014 4th International Conference on Civil Engineering and Transportation, ICCET 2014, 12.24-25.

65.Sijun Zhang, Shuyan Chen. Design & Implementation of Real-time Broadcast System of Urban Public Transport Crowding Index Based on the Internet of things , Advanced Materials Research Vols. 1049-1050 (2014) pp 1753-1758 (EI)

66.Zhao Kang-jia，Chen Shu-yan，Lao Ye-chun. Cellular Automaton Based Traffic Simulation Model for Traffic Incident，Journal of Highway and Transportation Research and Development, 2014，Vol.8 , No. 4, 123-128.

67.Chen Shu-yan，Yu Yong-bo, etc.. Analysis of Vehicle-Following Behavior under Trafic Accidents Based on Cellular Automata, Journal of Dalian Jiaotong University, 2014,35(4): 5-8.

68.Zhen Yang, WeiWang, Shuyan Chen,etc. Genetic Algorithm for Multiple Bus Line Coordination on Urban Arterial, Hindawi Publishing Corporation，Computational Intelligence and Neuroscience，Volume 2015, Article ID 868521, 7 pages，pp.1-7.

69.JianxiaXin, Shuyan Chen.Bus dwell time prediction based on KN. The 6th International Conference on Green Intelligent Transportation System and Safety,2015.

70.S.J. Zhang, S.Y. Chen. Traffic freight volume forecasting based on optimized GM(1,1) power model. The 4th International Conference on Civil Engineering and Urban Planning.CEUP2015.10.20-23.