Yuanli Gu

503 total citations
21 papers, 382 citations indexed

About

Yuanli Gu is a scholar working on Building and Construction, Transportation and Control and Systems Engineering. According to data from OpenAlex, Yuanli Gu has authored 21 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Building and Construction, 13 papers in Transportation and 11 papers in Control and Systems Engineering. Recurrent topics in Yuanli Gu's work include Traffic Prediction and Management Techniques (17 papers), Transportation Planning and Optimization (13 papers) and Traffic control and management (9 papers). Yuanli Gu is often cited by papers focused on Traffic Prediction and Management Techniques (17 papers), Transportation Planning and Optimization (13 papers) and Traffic control and management (9 papers). Yuanli Gu collaborates with scholars based in China, United States and Bangladesh. Yuanli Gu's co-authors include Wenqi Lu, Zhuangzhuang Shao, Lingqiao Qin, Meng Li, Hanyu Zhang, Xinyue Xu, Bin Ran, Yikang Rui, Ziwei Yi and Wan Liu and has published in prestigious journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and Transportation Research Part C Emerging Technologies.

In The Last Decade

Yuanli Gu

19 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuanli Gu China 7 329 242 240 40 31 21 382
Wenchen Yang China 7 243 0.7× 183 0.8× 216 0.9× 28 0.7× 26 0.8× 18 328
Juan S. Angarita-Zapata Spain 4 233 0.7× 107 0.4× 162 0.7× 32 0.8× 28 0.9× 10 340
Xueyan Yin China 5 346 1.1× 173 0.7× 236 1.0× 18 0.5× 39 1.3× 7 415
Ciprian Alecsandru Canada 8 249 0.8× 283 1.2× 239 1.0× 117 2.9× 28 0.9× 35 424
Philip J Tarnoff United States 8 257 0.8× 205 0.8× 244 1.0× 34 0.8× 31 1.0× 28 387
L. Munoz United States 8 508 1.5× 549 2.3× 421 1.8× 67 1.7× 28 0.9× 11 613
Ming Zhong Canada 10 368 1.1× 166 0.7× 267 1.1× 59 1.5× 10 0.3× 18 432
Mahmood Rahmani Sweden 10 343 1.0× 129 0.5× 339 1.4× 61 1.5× 21 0.7× 20 467
B. Anil Kumar India 13 351 1.1× 146 0.6× 339 1.4× 48 1.2× 16 0.5× 36 411
Guizhen Yu China 7 189 0.6× 269 1.1× 231 1.0× 139 3.5× 49 1.6× 9 412

Countries citing papers authored by Yuanli Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yuanli Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanli Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanli Gu. A scholar is included among the top collaborators of Yuanli Gu 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 Yuanli Gu. Yuanli Gu 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.
Li, Mingyuan, et al.. (2024). A Combination Prediction Model for Short Term Travel Demand of Urban Taxi. Computers, materials & continua/Computers, materials & continua (Print). 79(3). 3877–3896. 1 indexed citations
2.
Lu, Wenqi, Ziwei Yi, Yuanli Gu, Yikang Rui, & Bin Ran. (2023). TD3LVSL: A lane-level variable speed limit approach based on twin delayed deep deterministic policy gradient in a connected automated vehicle environment. Transportation Research Part C Emerging Technologies. 153. 104221–104221. 19 indexed citations
3.
Li, Mingyuan, et al.. (2023). The Impacts of High-Speed Railway on Urban GDP and Its Agglomeration: Evidence from China. Journal of Advanced Transportation. 2023. 1–13.
4.
Li, Mingyuan, et al.. (2023). Dynamic Bidirectional Relationship between Urban Rail Transit and Urban Economy Agglomeration: A Case Study in China. KSCE Journal of Civil Engineering. 28(1). 375–385. 1 indexed citations
5.
Liu, Yongle & Yuanli Gu. (2022). Research on the Prediction of Temporal and Spatial Characteristics of Expressway Traffic Speed Based on Attention-CNN-BiLSTM. SAE technical papers on CD-ROM/SAE technical paper series.
6.
Lu, Wenqi, Tian Zhou, Linheng Li, et al.. (2021). An improved tucker decomposition‐based imputation method for recovering lane‐level missing values in traffic data. IET Intelligent Transport Systems. 16(3). 363–379. 3 indexed citations
7.
Lü, Tao, Yuanli Gu, Wenqi Lu, et al.. (2020). An Attention-based Approach for Traffic Conditions Forecasting Considering Spatial-Temporal Features. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 38. 117–122. 4 indexed citations
8.
Lu, Wenqi, Ziwei Yi, Wan Liu, et al.. (2020). Efficient deep learning based method for multi‐lane speed forecasting: a case study in Beijing. IET Intelligent Transport Systems. 14(14). 2073–2082. 16 indexed citations
9.
Wang, Shuo, Yuanli Gu, Hideaki Uchida, Hideki Fujii, & Shinobu Yoshimura. (2020). A Hybrid Short-term Traffic Flow Forecasting Method Based on EMDW-LSSVM. 49. 1–6. 5 indexed citations
10.
Liu, Wan, Yuanli Gu, Ying Ding, et al.. (2020). A Spatial and Temporal Combination Model for Traffic Flow: A Case Study of Beijing Expressway. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 76–81. 1 indexed citations
11.
Lu, Wenqi, Yikang Rui, Ziwei Yi, Bin Ran, & Yuanli Gu. (2020). A Hybrid Model for Lane-Level Traffic Flow Forecasting Based on Complete Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting. IEEE Access. 8. 42042–42054. 40 indexed citations
12.
Gu, Yuanli, et al.. (2019). Short-term Forecasting of Supply-demand Gap under Online Car-hailing Services Based on Deep Learning. Journal of Transportation Systems Engineering and Information Technology. 19(2). 223. 2 indexed citations
13.
Gu, Yuanli, Zhuangzhuang Shao, Lingqiao Qin, Wenqi Lu, & Meng Li. (2019). A Deep Learning Framework for Cycling Maneuvers Classification. IEEE Access. 7. 28799–28809. 7 indexed citations
14.
Gu, Yuanli, Wenqi Lu, Lingqiao Qin, Meng Li, & Zhuangzhuang Shao. (2019). Short-term prediction of lane-level traffic speeds: A fusion deep learning model. Transportation Research Part C Emerging Technologies. 106. 1–16. 139 indexed citations
15.
Gu, Yuanli, Wenqi Lu, Xinyue Xu, et al.. (2019). An Improved Bayesian Combination Model for Short-Term Traffic Prediction With Deep Learning. IEEE Transactions on Intelligent Transportation Systems. 21(3). 1332–1342. 130 indexed citations
16.
Gu, Yuanli, Wenqi Lu, Shuo Wang, Meng Li, & Yuan Zhang. (2017). The Short-term Prediction of Vehicle Speed of Urban Freeway Based on RBF Neural Network. DEStech Transactions on Computer Science and Engineering. 2 indexed citations
17.
Gu, Yuanli, et al.. (2014). The Alternative Evaluation of Inter-city Railway in Regional Integrated Transport Corridor. Advances in intelligent systems research. 1 indexed citations
18.
Sun, Zhiyuan, et al.. (2012). Effects of socioeconomic attributes on travel time variability valuations. 72. 4176–4179. 1 indexed citations
19.
Gu, Yuanli & Lei Yu. (2010). Study on Optimization of Phase Offset at Adjacent Intersections. International Journal of Intelligent Systems and Applications. 2(1). 30–36. 1 indexed citations
20.
Shao, Chunfu, Yuanli Gu, & Kuilin Zhang. (2002). A Study on Dynamic Travel Time Forecast with Neural Networks. 716–721. 2 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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