Cathy Wu

1.3k total citations
41 papers, 726 citations indexed

About

Cathy Wu is a scholar working on Control and Systems Engineering, Automotive Engineering and Building and Construction. According to data from OpenAlex, Cathy Wu has authored 41 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Control and Systems Engineering, 18 papers in Automotive Engineering and 13 papers in Building and Construction. Recurrent topics in Cathy Wu's work include Traffic control and management (25 papers), Autonomous Vehicle Technology and Safety (13 papers) and Transportation Planning and Optimization (9 papers). Cathy Wu is often cited by papers focused on Traffic control and management (25 papers), Autonomous Vehicle Technology and Safety (13 papers) and Transportation Planning and Optimization (9 papers). Cathy Wu collaborates with scholars based in United States, United Kingdom and Sri Lanka. Cathy Wu's co-authors include Alexandre M. Bayen, Eugene Vinitsky, Kanaad Parvate, Abdul Rahman Kreidieh, Aboudy Kreidieh, Ankur Mehta, Steve Yadlowsky, Alexei Pozdnoukhov, Zhongxia Yan and Eric Liang and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Transportation Research Part C Emerging Technologies and IEEE Transactions on Robotics.

In The Last Decade

Cathy Wu

32 papers receiving 707 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cathy Wu United States 12 539 412 225 219 97 41 726
Eugene Vinitsky United States 10 428 0.8× 328 0.8× 166 0.7× 133 0.6× 99 1.0× 23 563
Nathaniel Hamilton United States 6 503 0.9× 357 0.9× 158 0.7× 265 1.2× 32 0.3× 15 625
Rahul Bhadani United States 9 749 1.4× 542 1.3× 228 1.0× 366 1.7× 37 0.4× 28 921
Toru Seo Japan 13 620 1.2× 256 0.6× 555 2.5× 368 1.7× 73 0.8× 41 858
Yi Hou United States 12 332 0.6× 355 0.9× 310 1.4× 278 1.3× 55 0.6× 42 747
Pinlong Cai China 9 334 0.6× 151 0.4× 409 1.8× 333 1.5× 81 0.8× 30 694
Abdelkader El Kamel France 12 298 0.6× 232 0.6× 95 0.4× 100 0.5× 47 0.5× 32 468
Fangyu Wu United States 7 626 1.2× 464 1.1× 182 0.8× 323 1.5× 32 0.3× 16 857
Chacha Chen United States 6 384 0.7× 144 0.3× 308 1.4× 157 0.7× 135 1.4× 16 596
B.D. Netten Netherlands 8 392 0.7× 232 0.6× 138 0.6× 212 1.0× 24 0.2× 28 476

Countries citing papers authored by Cathy Wu

Since Specialization
Citations

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

Fields of papers citing papers by Cathy Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cathy Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Cathy Wu. A scholar is included among the top collaborators of Cathy 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 Cathy Wu. Cathy Wu 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.
Sánchez, Edgar N., et al.. (2025). Mitigating metropolitan carbon emissions with dynamic eco-driving at scale. Transportation Research Part C Emerging Technologies. 179. 105146–105146.
2.
Wang, Siqi, et al.. (2025). A Survey on Large Language Model-Powered Autonomous Driving. Engineering. 1 indexed citations
3.
Cho, Jung-Hoon, et al.. (2025). Reinforcement Learning for Robust Advisories Under Driving Compliance Errors. IEEE Transactions on Intelligent Transportation Systems. 26(6). 7780–7791.
4.
Cho, Jung-Hoon, et al.. (2024). Cooperative Advisory Residual Policies for Congestion Mitigation. 2(2). 1–31.
5.
Koutsopoulos, Haris N., et al.. (2024). Robust Reinforcement Learning Strategies with Evolving Curriculum for Efficient Bus Operations in Smart Cities. Smart Cities. 7(6). 3658–3677.
6.
Dong, Roy, et al.. (2024). Hybrid System Stability Analysis of Multilane Mixed-Autonomy Traffic. IEEE Transactions on Robotics. 40. 4469–4489. 3 indexed citations
7.
Wu, Cathy, et al.. (2024). Model-Free Learning of Corridor Clearance: A Near-Term Deployment Perspective. IEEE Transactions on Intelligent Transportation Systems. 25(6). 4833–4848. 2 indexed citations
8.
Dong, Roy, et al.. (2023). Integrated Analysis of Coarse-Grained Guidance for Traffic Flow Stability. IEEE Transactions on Control of Network Systems. 11(3). 1382–1394. 3 indexed citations
9.
Dong, Roy, et al.. (2023). Stabilization Guarantees of Human-Compatible Control via Lyapunov Analysis. 1–8. 2 indexed citations
10.
Yan, Zhongxia, Abdul Rahman Kreidieh, Eugene Vinitsky, Alexandre M. Bayen, & Cathy Wu. (2022). Unified Automatic Control of Vehicular Systems With Reinforcement Learning. IEEE Transactions on Automation Science and Engineering. 20(2). 789–804. 38 indexed citations
11.
Wu, Cathy, Abdul Rahman Kreidieh, Kanaad Parvate, Eugene Vinitsky, & Alexandre M. Bayen. (2021). Flow: A Modular Learning Framework for Mixed Autonomy Traffic. IEEE Transactions on Robotics. 38(2). 1270–1286. 112 indexed citations
12.
Wu, Cathy, et al.. (2019). Block Simplex Signal Recovery: Methods, Trade-Offs, and an Application to Routing. IEEE Transactions on Intelligent Transportation Systems. 21(4). 1547–1559. 2 indexed citations
13.
Wu, Cathy. (2018). Learning and Optimization for Mixed Autonomy Systems - A Mobility Context. eScholarship (California Digital Library). 8 indexed citations
14.
Wu, Cathy, Aravind Rajeswaran, Yan Duan, et al.. (2018). Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines. arXiv (Cornell University). 5 indexed citations
15.
Parvate, Kanaad, et al.. (2018). Flow: Deep Reinforcement Learning for Control in SUMO. EPiC series in engineering. 2. 134–115. 27 indexed citations
16.
Vinitsky, Eugene, Aboudy Kreidieh, Cathy Wu, et al.. (2018). Benchmarks for reinforcement learning in mixed-autonomy traffic. 399–409. 38 indexed citations
17.
Wu, Cathy, Aboudy Kreidieh, Eugene Vinitsky, & Alexandre M. Bayen. (2017). Emergent Behaviors in Mixed-Autonomy Traffic. 398–407. 32 indexed citations
18.
Wu, Cathy, Aboudy Kreidieh, Kanaad Parvate, Eugene Vinitsky, & Alexandre M. Bayen. (2017). Flow: Architecture and Benchmarking for Reinforcement Learning in Traffic Control.. arXiv (Cornell University). 101 indexed citations
19.
Wu, Cathy, Ece Kamar, & Eric Horvitz. (2015). Clustering for Set Partitioning: A Case Study in Carpooling. Neural Information Processing Systems. 1 indexed citations
20.
Yadlowsky, Steve, et al.. (2015). Link Density Inference from Cellular Infrastructure. Transportation Research Board 94th Annual MeetingTransportation Research Board. 5 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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