Da Yang

981 citations
39 papers · 760 indexed · h-index 13

Da Yang

37 papers receiving 744 citations

Peers

Da Yang
Comparison fields: 5 of 59
  • Transportation 234
  • Automotive Engineering 416
  • Control and Systems Engineering 509
  • Safety, Risk, Reliability and Quality 192
  • Building and Construction 258
Replace Keshuang Tang with:
Keshuang Tang China
Kejun Long China
Linheng Li China
Wei-Bin Zhang United States
Mofan Zhou China
Zhanbo Sun China
Gowri Asaithambi India
Yunpeng Wang China
Fangfang Zheng China
Tang‐Hsien Chang Taiwan
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Da Yang

Since Specialization
Citations

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

Fields of papers citing papers by Da Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20233
3 20235
4 202145
5
A Macroscopic Traffic Flow Model for the Highway Work Zone
20191
6 20188
7 201820
8 201813
9 2018101
10
A Model for the Lane-changing Preparation Behavior on Freeways
20172
11 201647
12
Stability Analysis of the Heterogeneous Traffic Flow Mixed by Two Driving Styles
20130
13
Improved Safe Distance Car-following Model
20131
14 201349
15 20132
16 201330
17 201211
18 20111
19 20102
20 20106

About Da Yang

Da Yang is a scholar working on Transportation, Safety, Risk, Reliability and Quality and Control and Systems Engineering, having authored 39 papers that have together received 760 indexed citations. Recurring topics across this work include Traffic control and management (25 papers), Traffic Prediction and Management Techniques (14 papers), Transportation Planning and Optimization (13 papers), Traffic and Road Safety (11 papers), Autonomous Vehicle Technology and Safety (9 papers), Transportation Systems and Logistics (2 papers), Vehicular Ad Hoc Networks (VANETs) (2 papers) and Microfluidic and Bio-sensing Technologies (2 papers). The work is most often cited by research in Transportation (234 citations), Automotive Engineering (416 citations) and Control and Systems Engineering (509 citations). Da Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bin Ran, Peter J. Jin, Yun Pu, Liling Zhu, Cheng Wen, Fei Yang, Donghai Zhai, Pan Hui, Chuanyun Fu and Feng Sun. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Transportation Research Part C Emerging Technologies, Journal of Intelligent Transportation Systems, The European Physical Journal B 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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