Guang Yu
- Mechanical Engineering top 5%
- Control and Systems Engineering top 2%
- Biomedical Engineering top 10%
- Industrial and Manufacturing Engineering top 2%
- Electrical and Electronic Engineering
- Topics
- Advanced machining processes and optimization (19 papers)Robotic Mechanisms and Dynamics (15 papers)Iterative Learning Control Systems (13 papers)
- Cited by
- Industrial and Manufacturing EngineeringControl and Systems EngineeringMechanical Engineering
- Journals
- Expert Systems with ApplicationsJournal of Materials Processing TechnologyMechanical Systems and Signal Processing
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Guang Yu
47 papers receiving 826 citations
Peers
Comparison fields: 5 of 64
- Mechanical Engineering 493
- Control and Systems Engineering 423
- Biomedical Engineering 325
- Industrial and Manufacturing Engineering 193
- Electrical and Electronic Engineering 110
Countries citing papers authored by Guang Yu
This map shows the geographic impact of Guang Yu'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 Guang Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guang Yu more than expected).
Fields of papers citing papers by Guang Yu
This network shows the impact of papers produced by Guang Yu. 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 Guang Yu. The network helps show where Guang Yu may publish in the future.
Co-authorship network of co-authors of Guang Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Guang Yu. A scholar is included among the top collaborators of Guang Yu 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 Guang Yu. Guang Yu 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 | 5 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 19 | |
| 10 | 33 | |
| 11 | 28 | |
| 12 | 14 | |
| 13 | 11 | |
| 14 | 40 | |
| 15 | 79 | |
| 16 | 21 | |
| 17 | 8 | |
| 18 | 2 | |
| 19 | 17 | |
| 20 | 23 |
About Guang Yu
Guang Yu is a scholar working on Control and Systems Engineering, Mechanical Engineering and Business and International Management, having authored 48 papers that have together received 835 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (19 papers), Robotic Mechanisms and Dynamics (15 papers) and Iterative Learning Control Systems (13 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (193 citations), Control and Systems Engineering (423 citations) and Mechanical Engineering (493 citations). Guang Yu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jun Wu, Liping Wang, Weitao Li, Ying Gao, Liping Wang, Liping Wang, Zhiyuan Huang, Zhuming Bi, Jingang Jiang and Xuefeng Ma. Their work appears in journals such as Expert Systems with Applications, Journal of Materials Processing Technology and Mechanical Systems and Signal Processing.
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.