Bin Yu

70 papers receiving 2.5k citations

Peers

Bin Yu
Comparison fields: 5 of 152
  • Health Informatics 163
  • Transportation 418
  • Industrial and Manufacturing Engineering 435
  • Automotive Engineering 478
  • Building and Construction 475
Replace Sachin Kumar with:
Sachin Kumar India
Lingxi Li United States
Liang Zhao China
Vikas Hassija India
Yilun Lin China
Saeed Hamood Alsamhi Ireland
Thar Baker United Kingdom
Jameela Al‐Jaroodi United States
Priyan Malarvizhi Kumar India
Ratna Babu Chinnam United States
Bin Yu relative to Sachin Kumar India Sachin Kumar's profile →
Citations per field
00.5×5.6×
Sachin Kumar · 1×
Citations per year

Countries citing papers authored by Bin Yu

Since Specialization
Citations

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

Fields of papers citing papers by Bin Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bin Yu, 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 Yu Line = papers co-authored together Bin Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020322
2 2002283
3 2019165
4 2016152
5 1998141
6 2010134
7 2015119
8 201099
9 199690
10 202079
11 199377
12 202163
13 201659
14 200559
15 202150
16 201847
17 202346
18 202045
19 200637
20 201635

About Bin Yu

Bin Yu is a scholar working on Automotive Engineering, Transportation, Building and Construction, Artificial Intelligence and Control and Systems Engineering, having authored 78 papers that have together received 2.6k indexed citations. Recurring topics across this work include Transportation and Mobility Innovations (20 papers), Transportation Planning and Optimization (20 papers), Traffic control and management (11 papers), Traffic Prediction and Management Techniques (10 papers), Vehicle Routing Optimization Methods (9 papers), Sharing Economy and Platforms (8 papers), Air Traffic Management and Optimization (7 papers) and Aviation Industry Analysis and Trends (6 papers). The work is most often cited by research in Health Informatics (163 citations), Transportation (418 citations), Industrial and Manufacturing Engineering (435 citations), Automotive Engineering (478 citations) and Building and Construction (475 citations). Bin Yu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Anil K. Jain, Gang Chen, Zhen Guo, Baozhen Yao, Zhongzhen Yang, Mingheng Zhang, Baozong Yuan, Karl Kumbier, Baozhen Yao and Baozhen Yao. Their work appears in journals such as Transportation Research Part E Logistics and Transportation Review, Transportation Research Part C Emerging Technologies, Engineering Applications of Artificial Intelligence, Nature Medicine and IEEE Transactions on Intelligent Transportation 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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