Kaidi Yang

1.3k total citations
48 papers, 985 citations indexed

About

Kaidi Yang is a scholar working on Control and Systems Engineering, Transportation and Automotive Engineering. According to data from OpenAlex, Kaidi Yang has authored 48 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Control and Systems Engineering, 24 papers in Transportation and 20 papers in Automotive Engineering. Recurrent topics in Kaidi Yang's work include Traffic control and management (33 papers), Transportation Planning and Optimization (24 papers) and Traffic Prediction and Management Techniques (15 papers). Kaidi Yang is often cited by papers focused on Traffic control and management (33 papers), Transportation Planning and Optimization (24 papers) and Traffic Prediction and Management Techniques (15 papers). Kaidi Yang collaborates with scholars based in Singapore, Switzerland and United States. Kaidi Yang's co-authors include Mónica Menéndez, S. Ilgin Guler, Michael Harris Bond, Nan Zheng, Chaopeng Tan, Hong Liang, Haitao He, Weiming Shen, Yanjun Shi and Mireia Roca-Riu and has published in prestigious journals such as Journal of Personality and Social Psychology, IEEE Transactions on Intelligent Transportation Systems and Sustainability.

In The Last Decade

Kaidi Yang

42 papers receiving 943 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaidi Yang Singapore 15 655 501 382 349 97 48 985
Noah J. Goodall United States 11 368 0.6× 261 0.5× 249 0.7× 308 0.9× 2 0.0× 27 794
Oren Musicant Israel 15 52 0.1× 214 0.4× 67 0.2× 247 0.7× 12 0.1× 45 743
Jian Zheng China 9 143 0.2× 52 0.1× 83 0.2× 113 0.3× 3 0.0× 29 378
Dimitrios I. Tselentis Greece 12 57 0.1× 144 0.3× 130 0.3× 220 0.6× 22 524
Karlyn D. Stanley United States 5 106 0.2× 141 0.3× 35 0.1× 350 1.0× 13 498
Dimitris Nathanael Greece 15 112 0.2× 53 0.1× 35 0.1× 247 0.7× 2 0.0× 38 738
Gereon Meyer United States 13 92 0.1× 150 0.3× 42 0.1× 284 0.8× 24 468
Salima Hassas France 9 145 0.2× 87 0.2× 41 0.1× 99 0.3× 1 0.0× 29 337
Nader Azizi Canada 10 70 0.1× 130 0.3× 68 0.2× 58 0.2× 4 0.0× 16 485
Yoshihiko Suhara United States 12 17 0.0× 55 0.1× 76 0.2× 166 0.5× 5 0.1× 28 658

Countries citing papers authored by Kaidi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kaidi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaidi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Kaidi Yang. A scholar is included among the top collaborators of Kaidi Yang 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 Kaidi Yang. Kaidi Yang 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.
2.
Yang, Kaidi, et al.. (2025). Stochastic fundamental diagram modeling of mixed traffic flow: A data-driven approach. Transportation Research Part C Emerging Technologies. 179. 105279–105279. 1 indexed citations
3.
Lu, Ke, et al.. (2025). Safe Reinforcement Learning-Based Eco-Driving Control for Mixed Traffic Flows With Disturbances. IEEE Transactions on Intelligent Transportation Systems. 26(4). 4948–4959. 2 indexed citations
4.
Tan, Chaopeng, et al.. (2025). Connected Vehicle Data-Driven Robust Optimization for Traffic Signal Timing: Modeling Traffic Flow Variability and Errors. IEEE Transactions on Intelligent Transportation Systems. 26(12). 21635–21650.
5.
Liang, Jinhao, et al.. (2025). Enforcing Cooperative Safety for Reinforcement Learning-Based Mixed-Autonomy Platoon Control. IEEE Transactions on Intelligent Transportation Systems. 27(1). 1592–1605.
6.
Liang, Jinhao, et al.. (2025). Bi-Level Control of Weaving Sections in Mixed Traffic Environments With Connected and Automated Vehicles. IEEE Transactions on Intelligent Transportation Systems. 26(11). 19740–19754.
7.
Tian, Qingyun, Yun Hui Lin, David Z.W. Wang, & Kaidi Yang. (2024). Toward real-time operations of modular-vehicle transit services: From rolling horizon control to learning-based approach. Transportation Research Part C Emerging Technologies. 170. 104938–104938. 8 indexed citations
8.
Yang, Kaidi, et al.. (2024). Privacy-preserving data fusion for traffic state estimation: A vertical federated learning approach. Transportation Research Part C Emerging Technologies. 168. 104743–104743. 10 indexed citations
9.
10.
Yang, Kaidi, et al.. (2024). A parameter privacy-preserving strategy for mixed-autonomy platoon control. Transportation Research Part C Emerging Technologies. 169. 104885–104885. 9 indexed citations
11.
Makridis, Michail, et al.. (2023). A traffic signal and loop detector dataset of an urban intersection regulated by a fully actuated signal control system. Data in Brief. 48. 109117–109117. 6 indexed citations
12.
Yang, Kaidi, et al.. (2022). Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2913–2923. 15 indexed citations
13.
Yang, Kaidi, et al.. (2021). Real-Time Control of Mixed Fleets in Mobility-on-Demand Systems. 102. 3570–3577. 2 indexed citations
14.
Ambühl, Lukas, et al.. (2020). Enhancement of SPaT-messages with machine learning based time-to-green predictions. Repository for Publications and Research Data (ETH Zurich). 4 indexed citations
15.
Yang, Kaidi, Nan Zheng, & Mónica Menéndez. (2019). On the Design and Operation of Special Mobility Zones in Large Urban Networks: Space Allocation and Traffic Control. Transportation Research Board 98th Annual MeetingTransportation Research Board. 2 indexed citations
16.
Yang, Kaidi & Mónica Menéndez. (2018). Queue Estimation in a Connected Vehicle Environment: A Convex Approach. IEEE Transactions on Intelligent Transportation Systems. 20(7). 2480–2496. 24 indexed citations
17.
Yang, Kaidi, Haitao He, & Mónica Menéndez. (2018). Bi-Modal Automated Highway Lanes: Control Strategy and Evaluation. 124–133. 1 indexed citations
18.
Yang, Kaidi & Mónica Menéndez. (2017). A convex model for queue length estimation in a connected vehicle environment. Transportation Research Board 96th Annual MeetingTransportation Research Board. 17–5655. 3 indexed citations
19.
Yang, Kaidi, Nan Zheng, & Mónica Menéndez. (2017). Multi-scale perimeter control approach in a connected-vehicle environment. Transportation Research Part C Emerging Technologies. 94. 32–49. 81 indexed citations
20.
Yang, Kaidi, Mónica Menéndez, & S. Ilgin Guler. (2016). Using Connected Vehicle Technology to Optimize Transit Signal Priority. Transportation Research Board 95th Annual MeetingTransportation Research Board. 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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