Bin Ran

412 total citations
22 papers, 306 citations indexed

About

Bin Ran is a scholar working on Safety, Risk, Reliability and Quality, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Bin Ran has authored 22 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Safety, Risk, Reliability and Quality, 11 papers in Automotive Engineering and 11 papers in Control and Systems Engineering. Recurrent topics in Bin Ran's work include Traffic and Road Safety (15 papers), Traffic control and management (11 papers) and Autonomous Vehicle Technology and Safety (7 papers). Bin Ran is often cited by papers focused on Traffic and Road Safety (15 papers), Traffic control and management (11 papers) and Autonomous Vehicle Technology and Safety (7 papers). Bin Ran collaborates with scholars based in China, United States and Bangladesh. Bin Ran's co-authors include Linheng Li, Xu Qu, Jing Gan, Ziwei Yi, Zhigang Du, Mingnian Wang, Yang Cheng, Liyan Zhang, Yishi Zhang and David A. Noyce and has published in prestigious journals such as Energy Policy, IEEE Access and International Journal of Environmental Research and Public Health.

In The Last Decade

Bin Ran

21 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bin Ran China 11 128 107 105 70 46 22 306
Jianyou Zhao China 10 110 0.9× 123 1.1× 57 0.5× 53 0.8× 39 0.8× 49 368
Yanli Ma China 13 127 1.0× 156 1.5× 127 1.2× 81 1.2× 83 1.8× 36 345
Alexander Vinel United States 11 60 0.5× 62 0.6× 53 0.5× 50 0.7× 28 0.6× 32 312
Hongmei Zhou China 11 176 1.4× 61 0.6× 78 0.7× 44 0.6× 64 1.4× 28 327
Ryan Fries United States 13 111 0.9× 119 1.1× 105 1.0× 120 1.7× 59 1.3× 57 431
Navid Nadimi Iran 12 303 2.4× 142 1.3× 137 1.3× 147 2.1× 47 1.0× 39 454
Jungwook Jun United States 9 154 1.2× 104 1.0× 66 0.6× 123 1.8× 32 0.7× 21 365
Chinebuli Uzondu United Kingdom 9 132 1.0× 77 0.7× 49 0.5× 34 0.5× 90 2.0× 15 342
Kui Yang China 10 284 2.2× 115 1.1× 115 1.1× 198 2.8× 60 1.3× 20 393
Qiangqiang Shangguan China 11 218 1.7× 208 1.9× 138 1.3× 153 2.2× 80 1.7× 22 414

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

20 of 20 papers shown
1.
Li, Xiaopeng, et al.. (2025). Evaluating Impacts of Public Transit and Automobiles During Connected and Automated Vehicle Adoption. Journal of Advanced Transportation. 2025(1).
2.
Jin, Yufeng, et al.. (2025). Identification of key nodes in urban bus-metro network: A NK-shell algorithm based neighborhood KS. Reliability Engineering & System Safety. 264. 111448–111448. 1 indexed citations
3.
Qian, Chen, et al.. (2025). Risk-Quantification Based Longitudinal Planning Model for Connected and Autonomous Vehicles. IEEE Transactions on Vehicular Technology. 1–15. 1 indexed citations
4.
Li, Linheng, et al.. (2024). Stability analysis and numerical simulation of a car-following model considering safety potential field and V2X communication: A focus on influence weight of multiple vehicles. Physica A Statistical Mechanics and its Applications. 640. 129706–129706. 13 indexed citations
5.
Li, Linheng, et al.. (2024). A freeway vehicle early warning method based on risk map: Enhancing traffic safety through global perspective characterization of driving risk. Accident Analysis & Prevention. 203. 107611–107611. 7 indexed citations
6.
Li, Linheng, et al.. (2023). Mass‐based omni‐directional risk indicator (MORI) for multi‐participant traffic. IET Intelligent Transport Systems. 17(11). 2251–2267. 5 indexed citations
7.
Liu, Lining, Xiaofei Ye, Tao Wang, et al.. (2022). Key Factors Analysis of Severity of Automobile to Two-Wheeler Traffic Accidents Based on Bayesian Network. International Journal of Environmental Research and Public Health. 19(10). 6013–6013. 11 indexed citations
8.
Ran, Bin, et al.. (2021). Research on influencing factors of fuel consumption on superhighway based on DEMATEL-ISM model. Energy Policy. 158. 112545–112545. 48 indexed citations
9.
Ran, Bin, et al.. (2020). Superhighway Virtual Track System Based on Intelligent Road Buttons. IEEE Access. 8. 33419–33427. 5 indexed citations
10.
Ran, Bin, et al.. (2020). Theoretical Research on Longitudinal Profile Design of Superhighways. Journal of Advanced Transportation. 2020. 1–14. 16 indexed citations
11.
Li, Linheng, Jing Gan, Ziwei Yi, Xu Qu, & Bin Ran. (2020). Risk perception and the warning strategy based on safety potential field theory. Accident Analysis & Prevention. 148. 105805–105805. 82 indexed citations
12.
Ran, Bin, et al.. (2020). Study on a Prediction Model of Superhighway Fuel Consumption Based on the Test of Easy Car Platform. Sustainability. 12(15). 6260–6260. 3 indexed citations
13.
Pei, Yulong, et al.. (2020). Analysis on the Higher Education Sustainability in China Based on the Comparison between Universities in China and America. Sustainability. 12(2). 573–573. 14 indexed citations
14.
Yan, Lixin, et al.. (2017). Driving risk status prediction using Bayesian networks and logistic regression. IET Intelligent Transport Systems. 11(7). 431–439. 26 indexed citations
15.
Liu, Shaobo, Bin Ran, Baozhen Li, et al.. (2017). [Physiological Characteristics and Nitrogen and Phosphorus Uptake of Myriophyllum aquaticum Under High Ammonium Conditions].. PubMed. 38(9). 3731–3737. 3 indexed citations
16.
Cheng, Yang, et al.. (2016). Work Zone Crash Cost Prediction with a Least Median Squares Linear Regression Model. Transportation Research Record Journal of the Transportation Research Board. 2555(1). 38–45. 5 indexed citations
17.
Zheng, Liang, Bin Ran, & Helai Huang. (2016). Safety evaluation for driving behaviors under bidirectional looking context. Journal of Intelligent Transportation Systems. 21(4). 255–270. 10 indexed citations
18.
Du, Zhigang, et al.. (2015). Speed Control Method for Highway Tunnel Safety Based on Visual Illusion. Transportation Research Record Journal of the Transportation Research Board. 2485(1). 1–7. 29 indexed citations
19.
Cheng, Yang, et al.. (2012). Enhanced Analysis of Work Zone Safety through Integration of Statewide Crash and Lane Closure System Data. Transportation Research Record Journal of the Transportation Research Board. 2291(1). 17–25. 12 indexed citations
20.
Li, Rui, et al.. (2011). Crash Severity Evaluation for Unsignalized Intersection Using Conflict Data. International Journal of Computational Intelligence Systems. 4(6). 1325–1333. 3 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

Rankless by CCL
2026