Bin Ran

85 papers receiving 2.6k citations

Bin Ran's Hit Papers

A hybrid deep learning based traffic flow prediction method and its understanding 2018 · 665 citations
6650+2+5Years since publication200400600

Peers

Bin Ran
Comparison fields: 5 of 71
  • Building and Construction 1.2k
  • Computational Mathematics 25
  • Control and Systems Engineering 834
  • Automotive Engineering 292
  • Safety, Risk, Reliability and Quality 167
Replace Ziyuan Pu with:
Ziyuan Pu China
Hwasoo Yeo South Korea
Daiheng Ni United States
Lingqiao Qin China
Linchao Li China
Alexander Skabardonis United States
Nour‐Eddin El Faouzi France
Jiwon Kim Australia
Bin Ran relative to Ziyuan Pu China Ziyuan Pu's profile →
Citations per field
00.5×5×10×12.5×
Ziyuan Pu · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Bin Ran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bin Ran Line = papers co-authored together Bin Ran links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A hybrid deep learning based traffic flow prediction method and its understanding
Hit paper breakdown →
2018665
2 2019193
3 2020173
4 2019127
5 2020113
6 2016104
7
Short Term Traffic Forecasting Using the Local Linear Regression Model
200286
8 201669
9 202064
10 201961
11 202052
12 201750
13
AN APPLICATION OF NEURAL NETWORK ON TRAFFIC SPEED PREDICTION UNDER ADVERSE WEATHER CONDITION
200344
14 202044
15 202044
16 201643
17 202328
18 201326
19 202326
20 201925

About Bin Ran

Bin Ran is a scholar working on Control and Systems Engineering, Building and Construction, Computational Mathematics, Transportation and Automotive Engineering, having authored 90 papers that have together received 2.6k indexed citations. Recurring topics across this work include Traffic control and management (51 papers), Traffic Prediction and Management Techniques (34 papers), Tensor decomposition and applications (4 papers), Vehicular Ad Hoc Networks (VANETs) (4 papers), Forecasting Techniques and Applications (2 papers), Human Mobility and Location-Based Analysis (2 papers), Autonomous Vehicle Technology and Safety (2 papers) and Evacuation and Crowd Dynamics (1 paper). The work is most often cited by research in Building and Construction (1.2k citations), Computational Mathematics (25 citations), Control and Systems Engineering (834 citations), Automotive Engineering (292 citations) and Safety, Risk, Reliability and Quality (167 citations). Bin Ran has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lingqiao Qin, Xu Qu, Huachun Tan, Yuankai Wu, Zhuxi Jiang, Linchao Li, Linheng Li, Jing Ye Gan, Jian Zhang and Wenqi Lu. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, IEEE Transactions on Intelligent Transportation Systems, IEEE Access, Transportation Research Part C Emerging Technologies and Journal of Advanced Transportation.

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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