Bin Ran

10.0k citations
389 papers · 7.7k indexed · 1 hit paper · h-index 47

Bin Ran

367 papers receiving 7.4k citations

Hit Papers

Dynamic passenger demand oriented metro train scheduling ...266201720262020202350100150200250

Peers

Bin Ran
Comparison fields: 5 of 146
  • Transportation 3.9k
  • Computational Mathematics 195
  • Building and Construction 3.0k
  • Automotive Engineering 2.4k
  • Control and Systems Engineering 3.5k
Replace Yisheng Lv with:
Yisheng Lv China
Jian Sun China
Haris N. Koutsopoulos United States
Xiaolei Ma China
Jinjun Tang China
Eleni I. Vlahogianni Greece
Zhiyuan Liu China
Daniel B. Work United States
Hans van Lint Netherlands
John Golias Greece
Bin Ran relative to Yisheng Lv China Yisheng Lv's profile →
Citations per field
00.5×7.5×
Yisheng Lv · 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-authorship network

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
#Work
1 20251
2 20250
3 20250
4 20250
5 20243
6 20244
7 20244
8 20245
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10 20232
11 202312
12 202332
13 202216
14 20228
15 20218
16 202016
17 201512
18
An Automatic Calculation Method of Identifying the Hysteresis Loop Characteristics in Macroscopic Fundamental Diagram
20141
19
Corridor Management of Large Planned Special Events: Integrated Optimization of Park-and-Ride and Bus Contraflow Measures
20132
20
Urban Travel Demand Analysis for Austin, Texas, Using Location-Based Social Networking Data
20138

About Bin Ran

Bin Ran is a scholar working on Transportation, Building and Construction and Computational Mathematics, having authored 389 papers that have together received 7.7k indexed citations. Recurring topics across this work include Transportation Planning and Optimization (218 papers), Traffic control and management (200 papers), Traffic Prediction and Management Techniques (182 papers), Autonomous Vehicle Technology and Safety (58 papers), Human Mobility and Location-Based Analysis (40 papers), Urban Transport and Accessibility (39 papers), Traffic and Road Safety (39 papers) and Transportation and Mobility Innovations (29 papers). The work is most often cited by research in Transportation (3.9k citations), Computational Mathematics (195 citations) and Building and Construction (3.0k citations). Bin Ran has collaborated with scholars based in United States, China and Bangladesh. Frequent co-authors include Peter J. Jin, Jian Zhang, Yang Cheng, Yuankai Wu, Huachun Tan, Henry X. Liu, Da Yang, Tao Tang, Jiateng Yin and Lixing Yang. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Journal of Intelligent Transportation Systems, Physica A Statistical Mechanics and its Applications, Transportation Research Part C Emerging Technologies and IET Intelligent Transport Systems.

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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