Shigen Gao
- Industrial and Manufacturing Engineering top 0.5%
- Control and Systems Engineering top 2%
- Mechanical Engineering top 5%
- Transportation top 1%
- Computer Networks and Communications top 5%
- Co-authors
- Hairong DongBin NingTao TangYidong LiYao ChenQi ZhangGuanrong ChenXiaoxia Yang
- Topics
- Railway Systems and Energy Efficiency (54 papers)Railway Engineering and Dynamics (32 papers)Adaptive Control of Nonlinear Systems (27 papers)
- Journals
- International Journal of Hydrogen EnergyExpert Systems with ApplicationsEnergy Conversion and Management
- Partner nations
- ChinaUnited KingdomSweden
In The Last Decade
Shigen Gao
90 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 58
- Industrial and Manufacturing Engineering 850
- Control and Systems Engineering 687
- Mechanical Engineering 574
- Transportation 319
- Computer Networks and Communications 228
Countries citing papers authored by Shigen Gao
This map shows the geographic impact of Shigen Gao'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 Shigen Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigen Gao more than expected).
Fields of papers citing papers by Shigen Gao
This network shows the impact of papers produced by Shigen Gao. 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 Shigen Gao. The network helps show where Shigen Gao may publish in the future.
Co-authorship network of co-authors of Shigen Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Shigen Gao. A scholar is included among the top collaborators of Shigen Gao 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 Shigen Gao. Shigen Gao 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 6 | |
| 12 | 15 | |
| 13 | 41 | |
| 14 | 2 | |
| 15 | 7 | |
| 16 | 44 | |
| 17 | 1 | |
| 18 | 49 | |
| 19 | 9 | |
| 20 | Characteristic model-based golden section adaptive control for high-speed train | 2 |
About Shigen Gao
Shigen Gao is a scholar working on Industrial and Manufacturing Engineering, Transportation and Control and Systems Engineering, having authored 104 papers that have together received 1.6k indexed citations. Recurring topics across this work include Railway Systems and Energy Efficiency (54 papers), Railway Engineering and Dynamics (32 papers) and Adaptive Control of Nonlinear Systems (27 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (850 citations), Transportation (319 citations) and Control and Systems Engineering (687 citations). Shigen Gao has collaborated with scholars based in China, United Kingdom and Sweden. Frequent co-authors include Hairong Dong, Bin Ning, Tao Tang, Yidong Li, Yao Chen, Qi Zhang, Guanrong Chen, Xiaoxia Yang, Haifeng Song and Xubin Sun. Their work appears in journals such as International Journal of Hydrogen Energy, Expert Systems with Applications and Energy Conversion and Management.
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.