Shuai Ling
- Transportation top 2%
- Automotive Engineering top 10%
- Building and Construction top 10%
- Economics and Econometrics top 10%
- Control and Systems Engineering top 10%
- Topics
- Transportation Planning and Optimization (12 papers)Urban Transport and Accessibility (10 papers)Transportation and Mobility Innovations (9 papers)
- Journals
- Journal of Environmental ManagementTransportation Research Part C Emerging TechnologiesTransportation Research Part B Methodological
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Shuai Ling
24 papers receiving 398 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Transportation 213
- Automotive Engineering 94
- Building and Construction 93
- Economics and Econometrics 86
- Control and Systems Engineering 69
Countries citing papers authored by Shuai Ling
This map shows the geographic impact of Shuai Ling'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 Shuai Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuai Ling more than expected).
Fields of papers citing papers by Shuai Ling
This network shows the impact of papers produced by Shuai Ling. 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 Shuai Ling. The network helps show where Shuai Ling may publish in the future.
Co-authorship network of co-authors of Shuai Ling
This figure shows the co-authorship network connecting the top 25 collaborators of Shuai Ling. A scholar is included among the top collaborators of Shuai Ling 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 Shuai Ling. Shuai Ling 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 | 2 | |
| 3 | Transportation infrastructure upgrading and green development efficiency: Empirical analysis with double machine learning methodbreakdown → | 84 |
| 4 | 3 | |
| 5 | 11 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 10 | |
| 11 | 8 | |
| 12 | 7 | |
| 13 | 17 | |
| 14 | 4 | |
| 15 | 36 | |
| 16 | 5 | |
| 17 | 73 | |
| 18 | 55 | |
| 19 | 2 | |
| 20 | 40 |
About Shuai Ling
Shuai Ling is a scholar working on Transportation, Automotive Engineering and Building and Construction, having authored 25 papers that have together received 410 indexed citations. Recurring topics across this work include Transportation Planning and Optimization (12 papers), Urban Transport and Accessibility (10 papers) and Transportation and Mobility Innovations (9 papers). The work is most often cited by research in Transportation (213 citations), Automotive Engineering (94 citations) and Building and Construction (93 citations). Shuai Ling has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shoufeng Ma, Ning Jia, Ning Zhu, Haijie Wang, Zhenhua Zhang, Yanchao Feng, Wang Yao, Chenyi Fu, Yongxi Huang and Zhengbing He. Their work appears in journals such as Journal of Environmental Management, Transportation Research Part C Emerging Technologies and Transportation Research Part B Methodological.
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.