[1]. Deqi Chen(陈德启),Yan, Liu, et al. Multi-task Fusion Deep Learning Model for Short-term Intersection Operation Performance Forecasting. Remote sensing.2021(SCI检索 Q1)
[2]. Deqi Chen(陈德启),Yan, Liu, et al., A Multiscale-Grid-Based Bidirectional GRU Neural Network Model for Predicting Traffic Speeds of Urban Expressways. IEEE Access.2020(SCI检索 Q1)
[3]. Deqi Chen(陈德启),Yan, Liu, et al., Evaluating and diagnosing road intersection operation performance using floating car data. Sensors. 2019.(SCI检索 Q2)
[4]. Tian, Deqi Chen(陈德启),Yan. et al. Estimation Method of Intersection Signal Cycle Based on Empirical Data, Journal of Transportation Engineering, Part A: Systems, 2021(SCI检索Q3)
[5]. 李奉孝,陈德启,闫学东,城市群节假日顺风车城际出行时空分布特征研究,北京交通大学学报,2021(中文核心)
[6]. 李成兵,陈德启,铁路车辆修理布局集中化研究,计算机工程与应用, 2015(中文核心)
[7]. LIU, Helena, YAN, Wang, Deqi Chen(陈德启) et al., A Passenger-to-Driver Matching Model for Commuter Carpooling: Case Study and Sensitivity Analysis. Transportation Research Part C: Emerging Technologies, 2020(SCI检索 Q1)
[8]. Li, Wei, Yan, Ma, Deqi Chen(陈德启) , and Y. Wang, “A deep adaptive traffic signal controller with longterm planning horizon and spatial-temporal state definition under dynamic traffic fluctuations,” IEEE Access,2020. (SCI检索 Q1)
[9]. Wang Liwei, Yan, X., Deqi Chen(陈德启) Grid Mapping for Road Network Abstraction and Traffic Performance Evaluation based on Floating Car Data, Journal of Transportation Engineering, Part A: Systems.2020(SCI检索 Q3)
[10]. 闫学东; 陈德启; 王立威; 高自友 ; 一种基于网格模型的信号交叉口运行评价方法, 2020-05-05, 中国, 201810348871.0 (专利)
[11]. 闫学东; 陈德启; 刘炀 ; 基于网格模型的交通运行状态评价系统, 2018SRBJ0635, 原始取得, 全部权利, 2018-04-25 (软件著作权)
[12]. 闫学东; 王立威; 陈德启; 高自友 ; 基于浮动车的干线协调控制交叉口的信号控制评价方法, 2020-11-10, 中国, 2018103488585(专利)
[13]. 潘福全; 张游; 张丽霞; 杨晓霞; 杨金顺; 陈德启; 李昕光; 李敏 ; 一种车路协同交叉口车流冲突消解方法, 2021-7-30, 中国, 202110868577.4 (专利)
[14]. 张游; 潘福全; 宋夫才; 张丽霞; 杨金顺; 杨晓霞; 陈德启; 李敏 ; 一种基于车路协同的智能交叉口控制系统, 2021-7-16, 中国, 202121624368.7 (专利)