Xuewei Qi
- Automotive Engineering top 1%
- Electrical and Electronic Engineering top 5%
- Control and Systems Engineering top 5%
- Biomedical Engineering
- Polymers and Plastics top 10%
- Topics
- Electric Vehicles and Infrastructure (13 papers)Vehicle emissions and performance (12 papers)Electric and Hybrid Vehicle Technologies (11 papers)
- Journals
- ACS NanoIEEE Transactions on Intelligent Transportation SystemsTransportation Research Part C Emerging Technologies
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Xuewei Qi
33 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 72
- Automotive Engineering 830
- Electrical and Electronic Engineering 702
- Control and Systems Engineering 263
- Biomedical Engineering 226
- Polymers and Plastics 147
Countries citing papers authored by Xuewei Qi
This map shows the geographic impact of Xuewei Qi'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 Xuewei Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuewei Qi more than expected).
Fields of papers citing papers by Xuewei Qi
This network shows the impact of papers produced by Xuewei Qi. 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 Xuewei Qi. The network helps show where Xuewei Qi may publish in the future.
Co-authorship network of co-authors of Xuewei Qi
This figure shows the co-authorship network connecting the top 25 collaborators of Xuewei Qi. A scholar is included among the top collaborators of Xuewei Qi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xuewei Qi. Xuewei Qi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | Predicting the Number of Uber Pickups by Deep Learning | 7 |
| 9 | 86 | |
| 10 | Prediction-based Eco-Approach and Departure Strategy in Congested Urban Traffic | 3 |
| 11 | Intersection and Stop Bar Position Extraction from Crowdsourced GPS Trajectories | 5 |
| 12 | 136 | |
| 13 | 10 | |
| 14 | 52 | |
| 15 | 4 | |
| 16 | 56 | |
| 17 | 89 | |
| 18 | Comparative Study of Lane Changing Characteristics on Different Types of HOV Facilities Using Smoothed Aerial Photo Data | 2 |
| 19 | 5 | |
| 20 | 8 |
About Xuewei Qi
Xuewei Qi is a scholar working on Automotive Engineering, Transportation and Control and Systems Engineering, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Electric Vehicles and Infrastructure (13 papers), Vehicle emissions and performance (12 papers) and Electric and Hybrid Vehicle Technologies (11 papers). The work is most often cited by research in Automotive Engineering (830 citations), Transportation (103 citations) and Electrical and Electronic Engineering (702 citations). Xuewei Qi has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Matthew Barth, Guoyuan Wu, Kanok Boriboonsomsin, Teng Liu, Xiao Hu, Yadan Luo, Peng Hao, Guang Zhu, Jun Chen and Qingshen Jing. Their work appears in journals such as ACS Nano, IEEE Transactions on Intelligent Transportation Systems and Transportation Research Part C Emerging Technologies.
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.