Xiaobo Qu

10.8k total citations · 1 hit paper
241 papers, 8.1k citations indexed

About

Xiaobo Qu is a scholar working on Transportation, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Xiaobo Qu has authored 241 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Transportation, 91 papers in Control and Systems Engineering and 90 papers in Automotive Engineering. Recurrent topics in Xiaobo Qu's work include Transportation Planning and Optimization (101 papers), Traffic control and management (89 papers) and Traffic Prediction and Management Techniques (52 papers). Xiaobo Qu is often cited by papers focused on Transportation Planning and Optimization (101 papers), Traffic control and management (89 papers) and Traffic Prediction and Management Techniques (52 papers). Xiaobo Qu collaborates with scholars based in China, Sweden and Australia. Xiaobo Qu's co-authors include Qiang Meng, Shuaian Wang, Mofan Zhou, Sheng Jin, Xiaopeng Li, Yang Liu, Yang Yu, Jinxian Weng, Ying Yang and Yadan Yan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Cleaner Production.

In The Last Decade

Xiaobo Qu

229 papers receiving 7.9k citations

Hit Papers

Can language models be used for real-world urban-delivery... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaobo Qu China 53 3.6k 3.2k 3.0k 2.1k 1.5k 241 8.1k
Bin Ran United States 47 2.4k 0.7× 3.9k 1.2× 3.5k 1.2× 3.0k 1.5× 926 0.6× 389 7.7k
Hong K. Lo Hong Kong 47 2.4k 0.7× 6.7k 2.1× 3.7k 1.2× 2.5k 1.2× 589 0.4× 306 8.6k
Zhiyuan Liu China 47 2.3k 0.6× 4.4k 1.4× 2.0k 0.7× 2.8k 1.3× 484 0.3× 345 7.1k
S. Travis Waller Australia 45 1.9k 0.5× 3.9k 1.2× 2.4k 0.8× 2.1k 1.0× 469 0.3× 359 7.4k
Michel Bierlaire Switzerland 50 1.5k 0.4× 5.4k 1.7× 1.3k 0.4× 1.8k 0.9× 457 0.3× 399 9.4k
Hesham Rakha United States 53 6.3k 1.7× 6.2k 1.9× 6.0k 2.0× 3.2k 1.5× 1.6k 1.0× 468 10.8k
Srinivas Peeta United States 46 2.3k 0.6× 4.2k 1.3× 3.7k 1.2× 2.2k 1.1× 684 0.5× 257 7.5k
William H. K. Lam Hong Kong 60 3.1k 0.9× 8.8k 2.8× 4.0k 1.3× 4.0k 1.9× 1.3k 0.9× 397 12.1k
Xiaolei Ma China 42 1.6k 0.4× 4.6k 1.4× 2.2k 0.7× 4.8k 2.3× 513 0.3× 180 8.2k
Ziyou Gao China 62 2.7k 0.8× 8.1k 2.5× 2.7k 0.9× 2.8k 1.4× 873 0.6× 436 13.0k

Countries citing papers authored by Xiaobo Qu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobo Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobo Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobo Qu. A scholar is included among the top collaborators of Xiaobo Qu 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 Xiaobo Qu. Xiaobo Qu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shao, Zezhi, Tao Sun, Chengqing Yu, et al.. (2025). HUTFormer: Hierarchical U-Net transformer for long-term traffic forecasting. SHILAP Revista de lepidopterología. 5. 100218–100218.
2.
Liu, Yang, et al.. (2025). LiDAR-IMU SLAM framework in autonomous modular bus docking systems. Green Energy and Intelligent Transportation. 4(6). 100343–100343. 1 indexed citations
4.
5.
Hu, Zhiqiang, et al.. (2024). Entire route eco-driving method for electric bus based on rule-based reinforcement learning. Transportation Research Part E Logistics and Transportation Review. 189. 103636–103636. 5 indexed citations
6.
Zhang, Wei, et al.. (2024). Applying masked language model for transport mode choice behavior prediction. Transportation Research Part A Policy and Practice. 184. 104074–104074. 6 indexed citations
7.
Wang, Liang, et al.. (2024). Enhanced Scene Understanding and Situation Awareness for Autonomous Vehicles Based on Semantic Segmentation. IEEE Transactions on Systems Man and Cybernetics Systems. 54(11). 6537–6549. 6 indexed citations
8.
Ma, Ke, et al.. (2024). A unified longitudinal trajectory dataset for automated vehicle. Scientific Data. 11(1). 1123–1123. 10 indexed citations
9.
Lin, Hongyi, et al.. (2024). Enhancing State Representation in Multi-Agent Reinforcement Learning for Platoon-Following Models. IEEE Transactions on Vehicular Technology. 73(8). 12110–12114. 12 indexed citations
10.
Cui, Shaohua, et al.. (2024). Delay-throughput tradeoffs for signalized networks with finite queue capacity. Transportation Research Part B Methodological. 180. 102876–102876. 16 indexed citations
11.
Cao, Qi, et al.. (2023). Jointly estimating the most likely driving paths and destination locations with incomplete vehicular trajectory data. Transportation Research Part C Emerging Technologies. 155. 104283–104283. 8 indexed citations
12.
Yang, Fei, Peng Shi, Yankai Li, Yang Liu, & Xiaobo Qu. (2023). Formation control of multi-agent systems with actuator saturation via neural-based sliding mode estimators. Knowledge-Based Systems. 284. 111292–111292. 39 indexed citations
13.
Wang, Zhou, et al.. (2023). Cloud-Based Platoon Predictive Cruise Control Considering Fuel-Efficient and Platoon Stability. Journal of Transportation Engineering Part A Systems. 150(3). 2 indexed citations
14.
Li, Aoyong, Kun Gao, Pengxiang Zhao, Xiaobo Qu, & Kay W. Axhausen. (2021). High-resolution assessment of environmental benefits of dockless bike-sharing systems based on transaction data. Journal of Cleaner Production. 296. 126423–126423. 56 indexed citations
15.
Huang, Yihui, et al.. (2020). Complex Exponential Signal Recovery with Deep Hankel Matrix Factorization. arXiv (Cornell University). 1 indexed citations
16.
Ghiasi, Amir, Xiaopeng Li, Zhitong Huang, & Xiaobo Qu. (2019). A Joint Trajectory and Signal Optimization Model for Connected Automated Vehicles. Transportation Research Board 98th Annual MeetingTransportation Research Board. 3 indexed citations
17.
Yan, Yadan, Xiaobo Qu, & Miaomiao Zhu. (2018). Understanding Traffic Flow Characteristics and Capacity of Linear Multi-work Zones on the Urban Arterial Road. Transportation Research Board 97th Annual MeetingTransportation Research Board. 1 indexed citations
18.
Kuang, Yan, Xiaobo Qu, & Yadan Yan. (2017). Will higher traffic flow lead to more traffic conflicts? A crash surrogate metric based analysis. PLoS ONE. 12(8). e0182458–e0182458. 19 indexed citations
19.
Qu, Xiaobo, Shuaian Wang, Said M. Easa, & Zhiyuan Liu. (2014). Teaching load allocation in a teaching unit: Optimizing equity and quality. Griffith Research Online (Griffith University, Queensland, Australia). 1275. 4 indexed citations
20.
Schramm, Amy, et al.. (2014). Roundabout design and cycling safety. QUT ePrints (Queensland University of Technology).

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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