Yige Wang
Impact in
- Transportation top 2%
- Transportation Planning and Optimization
- Human Mobility and Location-Based Analysis
- Building and Construction top 2%
- Traffic Prediction and Management Techniques
Papers in
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- Traffic Prediction and Management Techniques 3
-
- Transportation Planning and Optimization 1
- Co-authors
- Li Zhu (2 shared papers)Tao Tang (1 shared paper)Bin Ning (1 shared paper)F. Richard Yu (1 shared paper)Hongli Zhao (1 shared paper)Zhang Li (1 shared paper)Li Zhu (1 shared paper)Sensen Wu (2 shared papers)
- Journals
- Geoscientific model development (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)Journal of Transportation Systems Engineering and Information Technology (1 paper)International Journal of Geographical Information Systems (1 paper)
In The Last Decade
Yige Wang
7 papers receiving 726 citations
Yige Wang's Hit Papers
Peers
Comparison fields: 5 of 72
- Transportation 244
- Building and Construction 368
- Automotive Engineering 106
- Computational Mathematics 4
- Control and Systems Engineering 153
Countries citing papers authored by Yige Wang
This map shows the geographic impact of Yige Wang'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 Yige Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yige Wang more than expected).
Fields of papers citing papers by Yige Wang
This network shows the impact of papers produced by Yige Wang. 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 Yige Wang. The network helps show where Yige Wang may publish in the future.
Co-authors
The 14 scholars most cited alongside Yige Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Big Data Analytics in Intelligent Transportation Systems: A Survey Hit paper breakdown → | 2018 | 727 |
| 2 | 2017 | 5 | |
| 3 | 2018 | 4 | |
| 4 | 2021 | 4 | |
| 5 | 2024 | 2 | |
| 6 | 2025 | 2 | |
| 7 | Stability Analysis of Complex Heterogeneous Traffic Flow under Connected and Autonomous Environment | 2020 | 2 |
About Yige Wang
Yige Wang is a scholar working on Building and Construction, Transportation, Economics and Econometrics, Global and Planetary Change and Industrial and Manufacturing Engineering, having authored 7 papers that have together received 746 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (3 papers), Land Use and Ecosystem Services (2 papers), Railway Systems and Energy Efficiency (2 papers), Regional Economic and Spatial Analysis (1 paper), Spatial and Panel Data Analysis (1 paper), Power Line Communications and Noise (1 paper), Transportation Planning and Optimization (1 paper) and Big Data Technologies and Applications (1 paper). The work is most often cited by research in Transportation (244 citations), Building and Construction (368 citations), Automotive Engineering (106 citations), Computational Mathematics (4 citations) and Control and Systems Engineering (153 citations). Yige Wang has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Li Zhu, Tao Tang, Bin Ning, F. Richard Yu, Hongli Zhao, Zhang Li, Li Zhu, Sensen Wu, Ziyu Yin and Ruoxu Wang. Their work appears in journals such as Geoscientific model development, IEEE Transactions on Intelligent Transportation Systems, Journal of Transportation Systems Engineering and Information Technology and International Journal of Geographical Information 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.