Dong Ngoduy

4.4k total citations · 1 hit paper
118 papers, 3.6k citations indexed

About

Dong Ngoduy is a scholar working on Control and Systems Engineering, Transportation and Building and Construction. According to data from OpenAlex, Dong Ngoduy has authored 118 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Control and Systems Engineering, 90 papers in Transportation and 64 papers in Building and Construction. Recurrent topics in Dong Ngoduy's work include Traffic control and management (99 papers), Transportation Planning and Optimization (88 papers) and Traffic Prediction and Management Techniques (62 papers). Dong Ngoduy is often cited by papers focused on Traffic control and management (99 papers), Transportation Planning and Optimization (88 papers) and Traffic Prediction and Management Techniques (62 papers). Dong Ngoduy collaborates with scholars based in Australia, United Kingdom and New Zealand. Dong Ngoduy's co-authors include Dongyao Jia, Ronghui Liu, Mehdi Keyvan‐Ekbatani, Hai L. Vu, Weiming Zhao, David Watling, Markos Papageorgiou, Simon Shepherd, Serge Hoogendoorn and Seunghyeon Lee and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Vehicular Technology and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Dong Ngoduy

115 papers receiving 3.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A platoon based cooperative eco-driving model for mixed automated and human-driven vehicles at a signalised intersection

2018 281 citations Dong Ngoduy et al. Transportation Research Part C Emerging Technologies profile →

Peers

Dong Ngoduy

CSE

TRANS

EEE

Xuegang Ban United States

Ioannis Papamichail Greece

Larry Head United States

Soyoung Ahn United States

Mónica Menéndez Switzerland

Baher Abdulhai Canada

Andreas Hegyi Netherlands

Alexander Skabardonis United States

Ashish Bhaskar Australia

Vikash V. Gayah United States

Xuegang Ban United States

Dong Ngoduy

2.2k ×0.8

CSE

2.4k ×1.1

TRANS

1.9k ×1.2

1.7k ×1.3

563 ×1.0

EEE

Citations per year, relative to Dong Ngoduy Dong Ngoduy (= 1×) peers Xuegang Ban

Countries citing papers authored by Dong Ngoduy

Since Specialization

Citations

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

Fields of papers citing papers by Dong Ngoduy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Ngoduy

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

Jiang, Junfeng, et al.. (2025). A dual-layer path planning approach for ramp merging with integrated risk management. Expert Systems with Applications. 276. 127167–127167. 1 indexed citations

Li, Ye, et al.. (2025). Knowledge-data fusion oriented traffic state estimation: A stochastic physics-informed deep learning approach. Transportation Research Part C Emerging Technologies. 182. 105422–105422. 1 indexed citations

Luo, Yuling, et al.. (2025). A dynamic and stochastic perspective on time headway in traffic oscillations and its implications for traffic safety. Accident Analysis & Prevention. 220. 108146–108146. 1 indexed citations

Pu, Ziyuan, et al.. (2024). Inferring heterogeneous treatment effects of crashes on highway traffic: A doubly robust causal machine learning approach. Transportation Research Part C Emerging Technologies. 160. 104537–104537. 15 indexed citations

Zong, Fang, et al.. (2024). Platoon or individual: An adaptive car-following control of connected and automated vehicles. Chaos Solitons & Fractals. 191. 115850–115850. 9 indexed citations

Ngoduy, Dong, et al.. (2024). Koopman theory meets graph convolutional network: Learning the complex dynamics of non-stationary highway traffic flow for spatiotemporal prediction. Chaos Solitons & Fractals. 187. 115437–115437. 8 indexed citations

Xiang, Pengcheng, et al.. (2024). Can transportation networks contribute to the sustainable development of urban agglomeration spatial structures?. Sustainable Cities and Society. 117. 105983–105983. 8 indexed citations

Ngoduy, Dong, et al.. (2024). PI-STGnet: Physics-integrated spatiotemporal graph neural network with fundamental diagram learner for highway traffic flow prediction. Expert Systems with Applications. 258. 125144–125144. 14 indexed citations

Keyvan‐Ekbatani, Mehdi, et al.. (2024). Stochastic Switching Mode Model based Filters for urban arterial traffic estimation from multi-source data. Transportation Research Part C Emerging Technologies. 164. 104664–104664. 3 indexed citations

10.

Keyvan‐Ekbatani, Mehdi, et al.. (2023). Towards clean transportation systems: Infrastructure planning for EVs charging while driving. Sustainable Cities and Society. 96. 104633–104633. 13 indexed citations

11.

Keyvan‐Ekbatani, Mehdi, et al.. (2023). Stochastic Switching Mode Model Based Filters for Urban Arterial Traffic Estimation From Multi-Source Data. SSRN Electronic Journal. 1 indexed citations

12.

Jiang, Shang, et al.. (2022). Mode differentiation in partitioning of mixed bi-modal urban networks. Transportmetrica B Transport Dynamics. 11(1). 463–485. 8 indexed citations

13.

Keyvan‐Ekbatani, Mehdi, et al.. (2022). Traffic dynamics in bi-modal urban networks: a cross-comparison of outflow 2D-NMFD and 3D-NMFD. Transportmetrica B Transport Dynamics. 10(1). 555–585. 10 indexed citations

14.

Keyvan‐Ekbatani, Mehdi, et al.. (2021). Macroscopic network-level traffic models: Bridging fifty years of development toward the next era. Transportation Research Part C Emerging Technologies. 131. 103334–103334. 57 indexed citations

15.

Ngoduy, Dong, et al.. (2021). Incremental unscented Kalman filter for real-time traffic estimation on motorways using multi-source data. Transportmetrica A Transport Science. 18(3). 1127–1153. 18 indexed citations

16.

Keyvan‐Ekbatani, Mehdi, et al.. (2020). Impacts of bus stop location and berth number on urban network traffic performance. IET Intelligent Transport Systems. 14(12). 1546–1554. 23 indexed citations

17.

Jia, Dongyao, Dong Ngoduy, & Hai L. Vu. (2018). A multiclass microscopic model for heterogeneous platoon with vehicle-to-vehicle communication. Transportmetrica B Transport Dynamics. 7(1). 311–335. 101 indexed citations

18.

Ngoduy, Dong, et al.. (2011). Cross Entropy Method for a Deterministic Optimal Signalization in an Urban Network. Transportation Research Board 90th Annual MeetingTransportation Research Board. 4 indexed citations

19.

Ngoduy, Dong. (2006). Macroscopic discontinuity modeling for multiclass multilane traffic flow operations. Research Repository (Delft University of Technology). 19 indexed citations

20.

Ngoduy, Dong, Serge Hoogendoorn, & Henk J. van Zuylen. (2004). Multiclass Traffic Flow Theory for Modeling of Multilane Traffic at On and Off Ramps. 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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