Cheng Lyu

1.2k total citations
36 papers, 867 citations indexed

About

Cheng Lyu is a scholar working on Transportation, Building and Construction and Control and Systems Engineering. According to data from OpenAlex, Cheng Lyu has authored 36 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Transportation, 20 papers in Building and Construction and 10 papers in Control and Systems Engineering. Recurrent topics in Cheng Lyu's work include Traffic Prediction and Management Techniques (18 papers), Transportation Planning and Optimization (17 papers) and Human Mobility and Location-Based Analysis (13 papers). Cheng Lyu is often cited by papers focused on Traffic Prediction and Management Techniques (18 papers), Transportation Planning and Optimization (17 papers) and Human Mobility and Location-Based Analysis (13 papers). Cheng Lyu collaborates with scholars based in China, Germany and United States. Cheng Lyu's co-authors include Yang Liu, Zhiyuan Liu, Xiaobo Qu, Jieping Ye, Fanyou Wu, Shuaian Wang, Jinde Cao, Shen Li, Yuan Zhang and Wenwu Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Vehicular Technology and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Cheng Lyu

34 papers receiving 836 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng Lyu China 18 453 402 265 202 85 36 867
Rosaldo J. F. Rossetti Portugal 18 374 0.8× 260 0.6× 362 1.4× 318 1.6× 87 1.0× 113 988
Simeon C. Calvert Netherlands 17 342 0.8× 238 0.6× 371 1.4× 511 2.5× 45 0.5× 74 950
Sherif Ishak United States 19 641 1.4× 797 2.0× 323 1.2× 610 3.0× 121 1.4× 107 1.4k
Yuan Liao China 20 196 0.4× 113 0.3× 255 1.0× 183 0.9× 99 1.2× 51 897
Jiwon Kim Australia 14 403 0.9× 288 0.7× 207 0.8× 246 1.2× 39 0.5× 45 769
Carlos Sun United States 20 467 1.0× 695 1.7× 395 1.5× 684 3.4× 97 1.1× 124 1.5k
Francesc Soriguera Spain 15 488 1.1× 370 0.9× 352 1.3× 421 2.1× 19 0.2× 51 881
Geqi Qi China 14 240 0.5× 206 0.5× 208 0.8× 109 0.5× 25 0.3× 44 532
Kevin Balke United States 15 591 1.3× 564 1.4× 177 0.7× 685 3.4× 44 0.5× 106 1.0k
Mohammed Elhenawy Australia 16 381 0.8× 360 0.9× 368 1.4× 256 1.3× 117 1.4× 111 974

Countries citing papers authored by Cheng Lyu

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Lyu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Lyu

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Lyu. A scholar is included among the top collaborators of Cheng Lyu 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 Cheng Lyu. Cheng Lyu 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.
Wang, Leizhen, et al.. (2025). Agentic Large Language Models for day-to-day route choices. Transportation Research Part C Emerging Technologies. 180. 105307–105307. 1 indexed citations
2.
Lyu, Cheng, et al.. (2025). Post-disruption lane reversal optimization with surrogate modeling to improve urban traffic resilience. Transportation Research Part B Methodological. 197. 103237–103237. 2 indexed citations
3.
Li, Ying, et al.. (2025). A systematic review of generative adversarial networks for traffic state prediction: Overview, taxonomy, and future prospects. Information Fusion. 117. 102915–102915. 14 indexed citations
4.
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
5.
Lyu, Cheng, et al.. (2024). Transfer Learning for Transportation Demand Resilience Pattern Prediction Using Floating Car Data. Transportation Research Record Journal of the Transportation Research Board. 2678(11). 1622–1638. 1 indexed citations
6.
Chen, Siyuan, Xin Liu, Cheng Lyu, et al.. (2023). A holistic data-driven framework for developing a complete profile of bus passengers. Transportation Research Part A Policy and Practice. 173. 103692–103692. 9 indexed citations
7.
Liu, Yang, et al.. (2023). The role of intelligent technology in the development of urban air mobility systems: A technical perspective. Fundamental Research. 4(5). 1017–1024. 9 indexed citations
8.
Lyu, Cheng, et al.. (2023). Exploring the Potentials of Open-Source Big Data and Machine Learning in Shared Mobility Fleet Utilization Prediction. mediaTUM (Technical University of Munich). 5(2). 6 indexed citations
9.
Wan, Shanshan, et al.. (2022). Research on disaster information dissemination based on social sensor networks. International Journal of Distributed Sensor Networks. 18(3). 3627530870–3627530870. 2 indexed citations
10.
Lyu, Cheng, Yang Liu, Liang Wang, & Xiaobo Qu. (2022). Personalized Modeling of Travel Behaviors and Traffic Dynamics. Journal of Transportation Engineering Part A Systems. 148(10). 2 indexed citations
11.
Liu, Zhiyuan, et al.. (2022). Gaussian Process Regression for Transportation System Estimation and Prediction Problems: The Deformation and a Hat Kernel. IEEE Transactions on Intelligent Transportation Systems. 23(11). 22331–22342. 29 indexed citations
12.
Liu, Yang, Fanyou Wu, Cheng Lyu, et al.. (2022). Deep dispatching: A deep reinforcement learning approach for vehicle dispatching on online ride-hailing platform. Transportation Research Part E Logistics and Transportation Review. 161. 102694–102694. 97 indexed citations
13.
Liu, Yang, et al.. (2020). Automatic Feature Engineering for Bus Passenger Flow Prediction Based on Modular Convolutional Neural Network. IEEE Transactions on Intelligent Transportation Systems. 22(4). 2349–2358. 46 indexed citations
14.
Huang, Di, Xinyuan Chen, Zhiyuan Liu, et al.. (2020). A static bike repositioning model in a hub-and-spoke network framework. Transportation Research Part E Logistics and Transportation Review. 141. 102031–102031. 55 indexed citations
15.
Liu, Yang, Cheng Lyu, Zhiyuan Liu, & Dacheng Tao. (2019). Building Effective Short Video Recommendation. 651–656. 10 indexed citations
16.
Liu, Yang, et al.. (2019). Spatio-Temporal Ensemble Method for Car-Hailing Demand Prediction. IEEE Transactions on Intelligent Transportation Systems. 21(12). 5328–5333. 38 indexed citations
17.
Wang, Han, Kun Xie, Li Xie, et al.. (2018). Functional Brain Connectivity Revealed by Sparse Coding of Large-Scale Local Field Potential Dynamics. Brain Topography. 32(2). 255–270. 5 indexed citations
18.
Liu, Jun, Cheng Lyu, Meng Li, et al.. (2018). Neural Coding of Appetitive Food Experiences in the Amygdala. Neurobiology of Learning and Memory. 155. 261–275. 9 indexed citations
19.
Zhao, Yu, Hanbo Chen, Yujie Li, et al.. (2016). Connectome-scale group-wise consistent resting-state network analysis in autism spectrum disorder. NeuroImage Clinical. 12. 23–33. 24 indexed citations
20.
Xie, Kun, Jun Liu, Cheng Lyu, et al.. (2016). Brain Computation Is Organized via Power-of-Two-Based Permutation Logic. Frontiers in Systems Neuroscience. 10. 95–95. 17 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Rosaldo J. F. Rossetti Breakdown of academic impact, for papers by Simeon C. Calvert Breakdown of academic impact, for papers by Sherif Ishak Breakdown of academic impact, for papers by Yuan Liao Breakdown of academic impact, for papers by Jiwon Kim Breakdown of academic impact, for papers by Carlos Sun Breakdown of academic impact, for papers by Francesc Soriguera Breakdown of academic impact, for papers by Geqi Qi Breakdown of academic impact, for papers by Kevin Balke Breakdown of academic impact, for papers by Mohammed Elhenawy
Rankless by CCL
2026