Kuo-Yun Liang
- Control and Systems Engineering top 2%
- Automotive Engineering top 2%
- Transportation top 1%
- Electrical and Electronic Engineering
- Building and Construction top 10%
- Co-authors
- Karl Henrik JohanssonJonas MårtenssonJeffrey LarsonAssad AlamBart BesselinkValerio TurriAther GattamiDennis Sundman
- Topics
- Traffic control and management (14 papers)Transportation Planning and Optimization (9 papers)Vehicle emissions and performance (6 papers)
In The Last Decade
Kuo-Yun Liang
18 papers receiving 665 citations
Peers
Comparison fields: 5 of 47
- Control and Systems Engineering 594
- Automotive Engineering 431
- Transportation 353
- Electrical and Electronic Engineering 179
- Building and Construction 99
Countries citing papers authored by Kuo-Yun Liang
This map shows the geographic impact of Kuo-Yun Liang'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 Kuo-Yun Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuo-Yun Liang more than expected).
Fields of papers citing papers by Kuo-Yun Liang
This network shows the impact of papers produced by Kuo-Yun Liang. 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 Kuo-Yun Liang. The network helps show where Kuo-Yun Liang may publish in the future.
Co-authorship network of co-authors of Kuo-Yun Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Kuo-Yun Liang. A scholar is included among the top collaborators of Kuo-Yun Liang 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 Kuo-Yun Liang. Kuo-Yun Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 10 | |
| 5 | 21 | |
| 6 | Fuel-Efficient Heavy-Duty Vehicle Platoon Formation | 5 |
| 7 | 70 | |
| 8 | 26 | |
| 9 | 218 | |
| 10 | 2 | |
| 11 | Coordination and routing for fuel-efficient heavy-duty vehicle platoon formation | 21 |
| 12 | 103 | |
| 13 | 41 | |
| 14 | 62 | |
| 15 | 47 | |
| 16 | 41 | |
| 17 | Linear Quadratic Control for Heavy Duty Vehicle Platooning | 11 |
| 18 | Cooperative driving according to Scoop | 3 |
| 19 | 18 |
About Kuo-Yun Liang
Kuo-Yun Liang is a scholar working on Transportation, Automotive Engineering and Control and Systems Engineering, having authored 19 papers that have together received 710 indexed citations. Recurring topics across this work include Traffic control and management (14 papers), Transportation Planning and Optimization (9 papers) and Vehicle emissions and performance (6 papers). The work is most often cited by research in Transportation (353 citations), Automotive Engineering (431 citations) and Control and Systems Engineering (594 citations). Kuo-Yun Liang has collaborated with scholars based in Sweden, Australia and Italy. Frequent co-authors include Karl Henrik Johansson, Jonas Mårtensson, Jeffrey Larson, Assad Alam, Bart Besselink, Valerio Turri, Ather Gattami, Dennis Sundman, Henrik Pettersson and Qichen Deng. Their work appears in journals such as Proceedings of the IEEE, IEEE Access 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.