Gaoqiang Kang
- Industrial and Manufacturing Engineering top 2%
- Mechanical Engineering top 10%
- Civil and Structural Engineering top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Topics
- Infrastructure Maintenance and Monitoring (5 papers)Railway Engineering and Dynamics (5 papers)Electrical Contact Performance and Analysis (3 papers)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Gaoqiang Kang
9 papers receiving 517 citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Industrial and Manufacturing Engineering 185
- Mechanical Engineering 182
- Civil and Structural Engineering 168
- Electrical and Electronic Engineering 141
- Artificial Intelligence 138
Countries citing papers authored by Gaoqiang Kang
This map shows the geographic impact of Gaoqiang Kang'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 Gaoqiang Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaoqiang Kang more than expected).
Fields of papers citing papers by Gaoqiang Kang
This network shows the impact of papers produced by Gaoqiang Kang. 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 Gaoqiang Kang. The network helps show where Gaoqiang Kang may publish in the future.
Co-authorship network of co-authors of Gaoqiang Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Gaoqiang Kang. A scholar is included among the top collaborators of Gaoqiang Kang 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 Gaoqiang Kang. Gaoqiang Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 52 | |
| 3 | 24 | |
| 4 | 48 | |
| 5 | 22 | |
| 6 | 17 | |
| 7 | 41 | |
| 8 | Deep Architecture for High-Speed Railway Insulator Surface Defect Detection: Denoising Autoencoder With Multitask Learningbreakdown → | 219 |
| 9 | 96 |
About Gaoqiang Kang
Gaoqiang Kang is a scholar working on Industrial and Manufacturing Engineering, Civil and Structural Engineering and Computational Mechanics, having authored 9 papers that have together received 523 indexed citations. Recurring topics across this work include Infrastructure Maintenance and Monitoring (5 papers), Railway Engineering and Dynamics (5 papers) and Electrical Contact Performance and Analysis (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (185 citations), Civil and Structural Engineering (168 citations) and Media Technology (65 citations). Gaoqiang Kang has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Long Yu, Dongkai Zhang, Shibin Gao, Shibin Gao, Xiaoguang Wei, Jian Xiao, Shengxian Zhuang, Jun Lin, Clive Roberts and Yuyi Wang. Their work appears in journals such as IEEE Access, Solar Energy 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.