Guoyuan Wu

5.8k total citations
199 papers, 4.2k citations indexed

About

Guoyuan Wu is a scholar working on Automotive Engineering, Control and Systems Engineering and Transportation. According to data from OpenAlex, Guoyuan Wu has authored 199 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Automotive Engineering, 107 papers in Control and Systems Engineering and 77 papers in Transportation. Recurrent topics in Guoyuan Wu's work include Traffic control and management (105 papers), Transportation Planning and Optimization (76 papers) and Vehicle emissions and performance (73 papers). Guoyuan Wu is often cited by papers focused on Traffic control and management (105 papers), Transportation Planning and Optimization (76 papers) and Vehicle emissions and performance (73 papers). Guoyuan Wu collaborates with scholars based in United States, China and Japan. Guoyuan Wu's co-authors include Matthew Barth, Kanok Boriboonsomsin, Ziran Wang, Xuewei Qi, Peng Hao, Qiu Jin, Kyungtae Han, Xishun Liao, Xuanpeng Zhao and Yadan Luo and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Environmental Pollution.

In The Last Decade

Guoyuan Wu

189 papers receiving 4.1k citations

Peers

Guoyuan Wu

CSE

EEE

TRANS

Kanok Boriboonsomsin United States

Xinkai Wu China

Jiaqi Ma United States

Meng Wang China

Mashrur Chowdhury United States

Xuegang Ban United States

Yiheng Feng United States

Zhigang Xu China

Jakob Erdmann Germany

Shuo Feng China

Kanok Boriboonsomsin United States

Guoyuan Wu

3.5k ×1.2

2.1k ×0.9

CSE

1.3k ×0.9

EEE

1.8k ×1.5

TRANS

624 ×0.9

Citations per year, relative to Guoyuan Wu Guoyuan Wu (= 1×) peers Kanok Boriboonsomsin

Countries citing papers authored by Guoyuan Wu

Since Specialization

Citations

This map shows the geographic impact of Guoyuan 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 Guoyuan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoyuan Wu more than expected).

Fields of papers citing papers by Guoyuan Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guoyuan 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 Guoyuan Wu. The network helps show where Guoyuan Wu may publish in the future.

Co-authorship network of co-authors of Guoyuan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Guoyuan Wu. A scholar is included among the top collaborators of Guoyuan 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 Guoyuan Wu. Guoyuan 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

Wu, Guoyuan, Yuxin Fang, Jiayi Zhu, et al.. (2025). Discovery of Potent PDEδ/NAMPT Dual Inhibitors: Preclinical Evaluation in KRAS Mutant Pancreatic Cancer Cells. Journal of Medicinal Chemistry. 68(9). 9241–9259.

Wu, Guoyuan, et al.. (2024). Bi-Objective Battery Electric Truck Dispatching Problem with Backhauls and Time Windows. Transportation Research Record Journal of the Transportation Research Board. 2678(11). 1850–1862. 1 indexed citations

Zhang, Ruixuan, et al.. (2024). Agent-Based Simulation Evaluation of CBD Tolling: A Case Study from New York City. 1–6. 1 indexed citations

Wu, Guoyuan, et al.. (2024). VEhicular Secure Network Open Simulator (VESNOS): A Cyber-security oriented co-simulation platform for connected and automated driving. 108–118.

Bai, Zhengwei, Guoyuan Wu, Matthew Barth, et al.. (2024). A Survey and Framework of Cooperative Perception: From Heterogeneous Singleton to Hierarchical Cooperation. IEEE Transactions on Intelligent Transportation Systems. 25(11). 15191–15209. 10 indexed citations

Shang, Wen‐Long, et al.. (2023). Estimation of traffic energy consumption based on macro-micro modelling with sparse data from Connected and Automated Vehicles. Applied Energy. 351. 121916–121916. 30 indexed citations

Liao, Xishun, et al.. (2023). A Real-World Data-Driven approach for estimating environmental impacts of traffic accidents. Transportation Research Part D Transport and Environment. 117. 103664–103664. 7 indexed citations

Un-Noor, Fuad, George Scora, Guoyuan Wu, Seungju Yoon, & Kanok Boriboonsomsin. (2023). Cost-Effectiveness of Off-Road Equipment Electrification Incentives: Cost Estimation, Evaluation, and Usage Framework. Transportation Research Record Journal of the Transportation Research Board. 2678(2). 574–593. 1 indexed citations

Bai, Zhengwei, Xuanpeng Zhao, Guoyuan Wu, et al.. (2023). Cyber Mobility Mirror: A Deep Learning-Based Real-World Object Perception Platform Using Roadside LiDAR. IEEE Transactions on Intelligent Transportation Systems. 24(9). 9476–9489. 7 indexed citations

10.

Shang, Wen‐Long, et al.. (2023). Multi-Lane Coordinated Control Strategy of Connected and Automated Vehicles for On-Ramp Merging Area Based on Cooperative Game. IEEE Transactions on Intelligent Transportation Systems. 24(11). 13448–13461. 41 indexed citations

11.

Bai, Zhengwei, et al.. (2023). VINet: Lightweight, scalable, and heterogeneous cooperative perception for 3D object detection. Mechanical Systems and Signal Processing. 204. 110723–110723. 9 indexed citations

12.

Wu, Guoyuan, et al.. (2022). Physical Model versus Artificial Neural Network (ANN) Model: A Comparative Study on Modeling Car-Following Behavior at Signalized Intersections. Journal of Advanced Transportation. 2022. 1–18. 4 indexed citations

13.

Wu, Guoyuan, et al.. (2022). Differentiated Speed Planning for Connected and Automated Electric Vehicles at Signalized Intersections considering Dynamic Wireless Power Transfer. Journal of Advanced Transportation. 2022. 1–13. 3 indexed citations

14.

Wu, Guoyuan, Peng Hao, Michael Todd, et al.. (2020). Dyno-in-the-Loop: An Innovative Hardware-in-the-Loop Development and Testing Platform for Emerging Mobility Technologies. SAE technical papers on CD-ROM/SAE technical paper series. 1. 6 indexed citations

15.

Ye, Fei, Peng Hao, Guoyuan Wu, et al.. (2020). Deep Learning-Based Queue-Aware Eco-Approach and Departure System for Plug-In Hybrid Electric Buses at Signalized Intersections: A Simulation Study. SAE International Journal of Advances and Current Practices in Mobility. 2(6). 3240–3247. 7 indexed citations

16.

Wang, Ziran, Xishun Liao, Xuanpeng Zhao, et al.. (2020). A Digital Twin Paradigm: Vehicle-to-Cloud Based Advanced Driver Assistance Systems. 1–6. 98 indexed citations

17.

Kamal, Md Abdus Samad, Mohsen Ramezani, Guoyuan Wu, et al.. (2020). Partially Connected and Automated Traffic Operations in Road Transportation. Journal of Advanced Transportation. 2020. 1–3. 2 indexed citations

18.

Wang, Ziran, Guoyuan Wu, & Matthew Barth. (2017). Developing a Distributed Consensus-Based Cooperative Adaptive Cruise Control (CACC) System. Transportation Research Board 96th Annual MeetingTransportation Research Board. 5 indexed citations

19.

Wu, Guoyuan, et al.. (2017). Prediction of real-time particulate matter concentrations on highways using traffic information and emission model. eScholarship (California Digital Library). 1 indexed citations

20.

Wu, Guoyuan, Kanok Boriboonsomsin, & Matthew Barth. (2013). Development and Evaluation of Intelligent Energy Management Strategy for Plug-in Hybrid Electric Vehicle. Transportation Research Board 92nd Annual MeetingTransportation Research Board. 3 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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