Bin Ran

3.2k total citations · 1 hit paper
94 papers, 2.3k citations indexed

About

Bin Ran is a scholar working on Control and Systems Engineering, Building and Construction and Transportation. According to data from OpenAlex, Bin Ran has authored 94 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Control and Systems Engineering, 58 papers in Building and Construction and 48 papers in Transportation. Recurrent topics in Bin Ran's work include Traffic control and management (64 papers), Traffic Prediction and Management Techniques (56 papers) and Transportation Planning and Optimization (46 papers). Bin Ran is often cited by papers focused on Traffic control and management (64 papers), Traffic Prediction and Management Techniques (56 papers) and Transportation Planning and Optimization (46 papers). Bin Ran collaborates with scholars based in China, United States and Bangladesh. Bin Ran's co-authors include Lingqiao Qin, Xu Qu, Huachun Tan, Yuankai Wu, Zhuxi Jiang, Linchao Li, Linheng Li, Jing Gan, Jian Zhang and Wenqi Lu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Bin Ran

88 papers receiving 2.3k 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 hybrid deep learning based traffic flow prediction method and its understanding

2018 595 citations Bin Ran et al. Transportation Research Part C Emerging Technologies profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bin Ran China	20	1.5k	1.3k	1.1k	670	301	94	2.3k
Lingqiao Qin United States	19	1.4k 0.9×	955 0.7×	1.1k 1.0×	442 0.7×	360 1.2×	42	2.1k
Edward Chung Australia	31	1.5k 1.1×	1.4k 1.0×	2.0k 1.8×	663 1.0×	286 1.0×	236	3.1k
Hwasoo Yeo South Korea	29	919 0.6×	966 0.7×	898 0.8×	685 1.0×	485 1.6×	126	2.2k
Ziyuan Pu China	22	1.1k 0.7×	716 0.5×	819 0.7×	762 1.1×	463 1.5×	67	2.3k
Lelitha Vanajakshi India	23	1.9k 1.3×	1.1k 0.9×	1.5k 1.4×	278 0.4×	208 0.7×	138	2.4k
Ashish Bhaskar Australia	29	1.3k 0.9×	1.3k 1.0×	1.8k 1.6×	774 1.2×	637 2.1×	157	3.0k
Peter J. Jin United States	24	912 0.6×	1.1k 0.8×	886 0.8×	618 0.9×	349 1.2×	112	1.9k
Baher Abdulhai Canada	30	2.1k 1.4×	2.2k 1.7×	2.0k 1.8×	851 1.3×	314 1.0×	153	3.6k
Adel W. Sadek United States	25	902 0.6×	735 0.5×	833 0.7×	586 0.9×	315 1.0×	107	1.9k
Baozhen Yao China	23	1.0k 0.7×	624 0.5×	1.2k 1.0×	505 0.8×	141 0.5×	59	2.2k

Countries citing papers authored by Bin Ran

Since Specialization

Citations

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

Fields of papers citing papers by Bin Ran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Ran

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Ran. A scholar is included among the top collaborators of Bin Ran 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 Bin Ran. Bin Ran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Linheng, Qian Chen, Jing Gan, et al.. (2024). DCoMA: A dynamic coordinative merging assistant strategy for on-ramp vehicles with mixed traffic conditions. Transportation Research Part C Emerging Technologies. 165. 104700–104700. 6 indexed citations

Zheng, Yuan, Zhihong Yao, Yueru Xu, Xu Qu, & Bin Ran. (2024). Lane management for mixed traffic flow on roadways considering the car-following behaviors of human-driven vehicles to follow connected and automated vehicles. Physica A Statistical Mechanics and its Applications. 635. 129503–129503. 7 indexed citations

Li, Shuo, et al.. (2024). An internal stochastic car-following model: Stochasticity analysis of mixed traffic environment. Physica A Statistical Mechanics and its Applications. 653. 130051–130051. 3 indexed citations

Zheng, Yuan, Yu Zhang, Xu Qu, Shen Li, & Bin Ran. (2024). Developing platooning systems of connected and automated vehicles with guaranteed stability and robustness against degradation due to communication disruption. Transportation Research Part C Emerging Technologies. 168. 104768–104768. 10 indexed citations

Zhang, Zaiyong, Chengcheng Gong, Wenke Wang, et al.. (2024). Enhancing predictions of remedial reagent transport via a vertical groundwater circulation well with high-resolution aquifer characterization. The Science of The Total Environment. 921. 171041–171041. 8 indexed citations

Chen, Qian, et al.. (2024). Progressive virtual risk-based vehicle trajectory optimization in mixed traffic flow. Transportation Research Part C Emerging Technologies. 165. 104701–104701. 8 indexed citations

Li, Linchao, et al.. (2024). Tensor decomposition of transportation temporal and spatial big data: A brief review. Fundamental Research. 6 indexed citations

Lu, Wenqi, Ziwei Yi, Győző Gidófalvi, et al.. (2024). Urban network geofencing with dynamic speed limit policy via deep reinforcement learning. Transportation Research Part A Policy and Practice. 183. 104067–104067. 1 indexed citations

Xu, Xinyue, et al.. (2024). Optimizing the Deployment of Static and Mobile Roadside Units Using a Branch-and-Price Algorithm. IEEE Transactions on Intelligent Transportation Systems. 25(11). 17078–17091. 2 indexed citations

10.

Gan, Jing, Qiao Yang, Dapeng Zhang, et al.. (2024). A Novel Voronoi-Based Spatio-Temporal Graph Convolutional Network for Traffic Crash Prediction Considering Geographical Spatial Distributions. IEEE Transactions on Intelligent Transportation Systems. 25(12). 21723–21736. 2 indexed citations

11.

Li, Linheng, et al.. (2024). Vehicular Speed Prediction Method for Highway Scenarios Based on Spatiotemporal Graph Convolutional Networks and Potential Field Theory. IEEE Internet of Things Journal. 12(3). 3330–3349. 1 indexed citations

12.

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

13.

Li, Linheng, et al.. (2023). A Cooperative Lane-Changing Strategy for Weaving Sections of Urban Expressway under the Connected Autonomous Vehicle Environment. Journal of Advanced Transportation. 2023. 1–14. 1 indexed citations

14.

Li, Linheng, et al.. (2023). Potential field-based modeling and stability analysis of heterogeneous traffic flow. Applied Mathematical Modelling. 125. 485–508. 11 indexed citations

15.

Li, Linheng, et al.. (2023). An autonomous platoon formation strategy to optimize CAV car-following stability under periodic disturbance. Physica A Statistical Mechanics and its Applications. 626. 129096–129096. 13 indexed citations

16.

Ran, Bin, et al.. (2021). Non-motor vehicle priority lane design and simulation study-take Harbin as an example. Physica A Statistical Mechanics and its Applications. 570. 125803–125803. 3 indexed citations

17.

Li, Linheng, et al.. (2021). A Macroscopic Model of Heterogeneous Traffic Flow Based on the Safety Potential Field Theory. IEEE Access. 9. 7460–7470. 18 indexed citations

18.

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

19.

Li, Linheng, et al.. (2020). Dynamic Driving Risk Potential Field Model Under the Connected and Automated Vehicles Environment and Its Application in Car-Following Modeling. IEEE Transactions on Intelligent Transportation Systems. 23(1). 122–141. 147 indexed citations

20.

Huang, Shan & Bin Ran. (2003). AN APPLICATION OF NEURAL NETWORK ON TRAFFIC SPEED PREDICTION UNDER ADVERSE WEATHER CONDITION. 43 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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