Shubo Wu

627 total citations
23 papers, 445 citations indexed

About

Shubo Wu is a scholar working on Control and Systems Engineering, Transportation and Building and Construction. According to data from OpenAlex, Shubo Wu has authored 23 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Control and Systems Engineering, 9 papers in Transportation and 8 papers in Building and Construction. Recurrent topics in Shubo Wu's work include Traffic control and management (11 papers), Transportation Planning and Optimization (8 papers) and Traffic Prediction and Management Techniques (7 papers). Shubo Wu is often cited by papers focused on Traffic control and management (11 papers), Transportation Planning and Optimization (8 papers) and Traffic Prediction and Management Techniques (7 papers). Shubo Wu collaborates with scholars based in China, United States and Australia. Shubo Wu's co-authors include Xinqiang Chen, Chaojian Shi, Jiansen Zhao, Ruimin Ke, Yanguo Huang, Yongsheng Yang, Junjie Fu, Yajie Zou, Yue Zhang and Lingtao Wu and has published in prestigious journals such as PLoS ONE, Sensors and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Shubo Wu

21 papers receiving 434 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shubo Wu China	11	144	137	113	104	69	23	445
Dali Wei United States	14	33 0.2×	131 1.0×	162 1.4×	144 1.4×	83 1.2×	48	784
Sadko Mandžuka Croatia	11	34 0.2×	115 0.8×	113 1.0×	130 1.3×	68 1.0×	52	337
Bingnan Jiang China	10	64 0.4×	238 1.7×	204 1.8×	49 0.5×	165 2.4×	28	638
Sina Dabiri United States	6	79 0.5×	285 2.1×	47 0.4×	324 3.1×	45 0.7×	8	575
Ioanna Spyropoulou Greece	14	42 0.3×	97 0.7×	149 1.3×	200 1.9×	156 2.3×	42	495
Binfang Cao China	10	245 1.7×	223 1.6×	510 4.5×	352 3.4×	76 1.1×	24	665
Michal Weiszer United Kingdom	14	22 0.2×	64 0.5×	179 1.6×	135 1.3×	125 1.8×	32	522
Afshin Abadi Iran	8	21 0.1×	281 2.1×	124 1.1×	159 1.5×	35 0.5×	10	477
Zhaosheng Yang China	13	31 0.2×	304 2.2×	237 2.1×	229 2.2×	78 1.1×	120	528
Pranamesh Chakraborty United States	11	25 0.2×	224 1.6×	51 0.5×	100 1.0×	92 1.3×	24	460

Countries citing papers authored by Shubo Wu

Since Specialization

Citations

This map shows the geographic impact of Shubo Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shubo Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shubo Wu more than expected).

Fields of papers citing papers by Shubo Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shubo Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shubo Wu. The network helps show where Shubo Wu may publish in the future.

Co-authorship network of co-authors of Shubo Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Shubo Wu. A scholar is included among the top collaborators of Shubo Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shubo Wu. Shubo Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zou, Yajie, et al.. (2025). Comparing Car-Following Behavior Patterns of Human-Driven Vehicles and Autonomous Vehicles in a Mixed Traffic Environment. IEEE Transactions on Intelligent Transportation Systems. 26(5). 6814–6830. 4 indexed citations

Wu, Shubo, et al.. (2025). Investigating Traffic Characteristics at Freeway Merging Areas in Heterogeneous Mixed-Flow Environments. Sustainability. 17(5). 2282–2282. 5 indexed citations

Peng, Yichuan, et al.. (2025). Enhancing Mixed Traffic Flow with Platoon Control and Lane Management for Connected and Autonomous Vehicles. Sensors. 25(3). 644–644. 6 indexed citations

Zou, Yajie, et al.. (2025). Analyzing mandatory and discretionary lane change interaction patterns using hidden Markov model-based approaches. Advanced Engineering Informatics. 66. 103404–103404. 2 indexed citations

Wu, Shubo, et al.. (2025). Modeling car-following behaviors considering driver heterogeneity: A multi-regime stochastic framework. Transportation Research Part C Emerging Technologies. 179. 105282–105282. 2 indexed citations

Li, Yang, et al.. (2024). Unraveling Spatial–Temporal Patterns and Heterogeneity of On-Ramp Vehicle Merging Behavior: Evidence from the exiD Dataset. Applied Sciences. 14(6). 2344–2344. 1 indexed citations

Liu, Bo, et al.. (2023). Analyzing Parking Demand Characteristics Using a Bayesian Model Averaging. Applied Sciences. 13(24). 13245–13245.

Zou, Yajie, et al.. (2023). Cross-Border Travel Behavior Analysis of Hong Kong-Zhuhai-Macao Bridge Using MXL-BMA Model. Journal of Advanced Transportation. 2023. 1–12. 2 indexed citations

Wu, Shubo, Yajie Zou, Lingtao Wu, & Yue Zhang. (2023). Application of Bayesian model averaging for modeling time headway distribution. Physica A Statistical Mechanics and its Applications. 620. 128747–128747. 31 indexed citations

10.

Wu, Shubo, et al.. (2021). Analyzing Accident Injury Severity via an Extreme Gradient Boosting (XGBoost) Model. Journal of Advanced Transportation. 2021. 1–11. 23 indexed citations

11.

Wu, Shubo, Xinqiang Chen, Chaojian Shi, et al.. (2021). Ship detention prediction via feature selection scheme and support vector machine (SVM). Maritime Policy & Management. 49(1). 140–153. 43 indexed citations

12.

Luo, Qiang, et al.. (2020). Research of Vehicle Rear-End Collision Model considering Multiple Factors. Mathematical Problems in Engineering. 2020. 1–11. 10 indexed citations

13.

Fu, Junjie, Xinqiang Chen, Shubo Wu, et al.. (2020). Mining ship deficiency correlations from historical port state control (PSC) inspection data. PLoS ONE. 15(2). e0229211–e0229211. 28 indexed citations

14.

Chen, Xinqiang, Shubo Wu, Chaojian Shi, et al.. (2020). Sensing Data Supported Traffic Flow Prediction via Denoising Schemes and ANN: A Comparison. IEEE Sensors Journal. 20(23). 14317–14328. 189 indexed citations

15.

Fu, Junjie, Xinqiang Chen, Shubo Wu, et al.. (2020). Ship Detention Situation Prediction via Optimized Analytic Hierarchy Process and Naïve Bayes Model. Mathematical Problems in Engineering. 2020. 1–11. 12 indexed citations

16.

Fu, Junjie, et al.. (2020). Evaluation of PSC on Container Ships Under Improved NIR Ship Targeting Model. 3 indexed citations

17.

Luo, Qiang, et al.. (2019). Analyzing start-up time headway distribution characteristics at signalized intersections. Physica A Statistical Mechanics and its Applications. 535. 122348–122348. 16 indexed citations

18.

Xu, Jianmin, et al.. (2018). Research on early-warning model of vehicle lane-changing on the fast lane based on driver type. 1244–1249. 1 indexed citations

19.

Wu, Shubo, Jiaxiang Liu, & Yuan Yu. (2017). Design of a new double layer spreading plate for a turbo air classifier. Powder Technology. 312. 277–286. 22 indexed citations

20.

Wu, Shubo, Jiaxiang Liu, & Yuan Yu. (2016). Prediction of cut size for pneumatic classification based on a back propagation (BP) neural network. 69(11). 71. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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