Danya Yao

2.5k total citations
116 papers, 1.9k citations indexed

About

Danya Yao is a scholar working on Control and Systems Engineering, Transportation and Building and Construction. According to data from OpenAlex, Danya Yao has authored 116 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Control and Systems Engineering, 40 papers in Transportation and 40 papers in Building and Construction. Recurrent topics in Danya Yao's work include Traffic control and management (42 papers), Traffic Prediction and Management Techniques (38 papers) and Transportation Planning and Optimization (34 papers). Danya Yao is often cited by papers focused on Traffic control and management (42 papers), Traffic Prediction and Management Techniques (38 papers) and Transportation Planning and Optimization (34 papers). Danya Yao collaborates with scholars based in China, United States and Hong Kong. Danya Yao's co-authors include Li Li, Yi Zhang, Wen Ding, Yuelong Su, Xin Pei, Lihui Peng, Huaxin Pei, S.C. Wong, Shuo Feng and Xin Pei and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and IEEE Access.

In The Last Decade

Danya Yao

104 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danya Yao China 23 820 663 625 524 387 116 1.9k
Guizhen Yu China 30 829 1.0× 833 1.3× 637 1.0× 568 1.1× 376 1.0× 131 2.5k
Daiheng Ni United States 26 1.3k 1.5× 738 1.1× 805 1.3× 848 1.6× 244 0.6× 111 2.2k
Dongfang Ma China 28 776 0.9× 365 0.6× 751 1.2× 821 1.6× 255 0.7× 138 2.3k
Christian Claudel United States 21 615 0.8× 329 0.5× 503 0.8× 556 1.1× 272 0.7× 93 1.6k
Guangquan Lu China 27 1.1k 1.3× 778 1.2× 1.1k 1.7× 954 1.8× 186 0.5× 97 2.5k
Jie Sun China 21 1.3k 1.6× 680 1.0× 919 1.5× 917 1.8× 128 0.3× 78 2.2k
Anuj Sharma United States 25 630 0.8× 363 0.5× 678 1.1× 895 1.7× 101 0.3× 116 2.0k
Peter J. Jin United States 24 1.1k 1.3× 618 0.9× 886 1.4× 912 1.7× 132 0.3× 112 1.9k
Zhaocheng He China 18 557 0.7× 314 0.5× 685 1.1× 923 1.8× 141 0.4× 95 1.7k
Hao Xu United States 26 385 0.5× 1.3k 1.9× 245 0.4× 447 0.9× 196 0.5× 98 2.2k

Countries citing papers authored by Danya Yao

Since Specialization
Citations

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

Fields of papers citing papers by Danya Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danya Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Danya Yao. A scholar is included among the top collaborators of Danya Yao 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 Danya Yao. Danya Yao 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.
Tian, Ye, Huaxin Pei, Yi Zhang, et al.. (2025). Driving Risk Field Model and Its Application in Trajectory Planning: A New Perspective. IEEE Transactions on Intelligent Transportation Systems. 26(9). 13522–13537. 1 indexed citations
2.
Pei, Huaxin, et al.. (2025). Toward Fault Tolerance in Multi-Agent Reinforcement Learning. IEEE Transactions on Automation Science and Engineering. 22. 19007–19024.
3.
Wang, Jie, et al.. (2025). Applications and challenges of digital image correlation in the microscopic environment. Measurement Science and Technology. 36(10). 102002–102002.
4.
Zhang, Jiawei, Cheng Chang, Yi Zhang, et al.. (2024). Dynamic Testing for Autonomous Vehicles Using Random Quasi Monte Carlo. IEEE Transactions on Intelligent Vehicles. 9(3). 4480–4492. 7 indexed citations
5.
Wang, Pengbo, et al.. (2024). Life-Long Learning and Testing for Automated Vehicles via Adaptive Scenario Sampling as a Continuous Optimization Process. IEEE Transactions on Intelligent Vehicles. 9(12). 7724–7737.
6.
Zhang, Jiawei, et al.. (2024). Task-Driven Controllable Scenario Generation Framework Based on AOG. IEEE Transactions on Intelligent Transportation Systems. 25(6). 6186–6199. 6 indexed citations
7.
Guo, Yuqing, et al.. (2023). A Survey of Trajectory Planning Methods for Autonomous Driving—Part I: Unstructured Scenarios. IEEE Transactions on Intelligent Vehicles. 9(9). 5407–5434. 16 indexed citations
8.
Song, Zhihang, Huaxin Pei, Lihui Peng, et al.. (2023). Synthetic Datasets for Autonomous Driving: A Survey. IEEE Transactions on Intelligent Vehicles. 9(1). 1847–1864. 38 indexed citations
9.
Pei, Huaxin, et al.. (2023). Comparative Analysis of Cooperative Driving Strategies for CAVs at On-Ramps. IEEE Transactions on Vehicular Technology. 72(6). 8099–8104. 7 indexed citations
10.
Zhang, Yi, et al.. (2021). Technologies and Applications for Intelligent Vehicle-infrastructureCooperation Systems. Journal of Transportation Systems Engineering and Information Technology. 21(5). 40. 8 indexed citations
11.
Li, Weixia, Guoyuan Wu, Danya Yao, et al.. (2021). Stated acceptance and behavioral responses of drivers towards innovative connected vehicle applications. Accident Analysis & Prevention. 155. 106095–106095. 7 indexed citations
12.
Guo, Yuqing, Huile Xu, Yi Zhang, & Danya Yao. (2020). Integrated Variable Speed Limits and Lane-Changing Control for Freeway Lane-Drop Bottlenecks. IEEE Access. 8. 54710–54721. 27 indexed citations
13.
Guo, Qiang, Pengpeng Xu, Xin Pei, S.C. Wong, & Danya Yao. (2016). The effect of road network patterns on pedestrian safety: A zone-based Bayesian spatial modeling approach. Accident Analysis & Prevention. 99(Pt A). 114–124. 71 indexed citations
14.
Yao, Danya. (2013). Short-term traffic flow forecasting model for regional road network based on spatial-temporal dependency. Journal of Tsinghua University(Science and Technology). 3 indexed citations
15.
Li, Zhiheng, et al.. (2012). Adaptive and Synchronization Signal Control Strategies for Bottleneck Area on Urban Expressway. Transportation Research Board 91st Annual MeetingTransportation Research Board. 1 indexed citations
16.
Su, Yuelong, Zheng Wei, Danya Yao, et al.. (2008). Departure Headways of Mixed Traffic Flow at Signalized Intersections: Distributions, Simulations and Validations. Transportation Research Board 87th Annual MeetingTransportation Research Board. 9 indexed citations
17.
Wei, Zheng, et al.. (2008). Model of Start-up Lost Time and Headway of Queuing Motor Vehicles under Mixed Traffic Condition. Journal of Highway and Transportation Research and Development. 2 indexed citations
18.
Yao, Danya. (2007). Topological Analysis of Urban Transit Networks Using Bipartite Graph Model. Systems Engineering - Theory & Practice. 3 indexed citations
19.
Yao, Danya, et al.. (2006). Novel Evaluation Method for Signalized Intersections. Transportation Research Board 85th Annual MeetingTransportation Research Board. 1 indexed citations
20.
Zhang, Yi, et al.. (2003). A Neural Network Model for Urban Traffic Volumes Compression. SHILAP Revista de lepidopterología. 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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