Jiadong Guo
- Electrical and Electronic Engineering
- Management Science and Operations Research top 5%
- Aerospace Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- Paulo BorgesAbel GawelHao SunQianggang DingJian GuoSifan WuDushan BoroyevichIvan Čelanović
- Topics
- Advanced DC-DC Converters (5 papers)Multilevel Inverters and Converters (5 papers)Silicon Carbide Semiconductor Technologies (3 papers)
- Journals
- IEEE Robotics and Automation LettersJournal of Computer Science and TechnologyFrontiers of Information Technology & Electronic Engineering
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jiadong Guo
13 papers receiving 313 citations
Peers
Comparison fields: 5 of 57
- Electrical and Electronic Engineering 142
- Management Science and Operations Research 102
- Aerospace Engineering 101
- Computer Vision and Pattern Recognition 87
- Artificial Intelligence 44
Countries citing papers authored by Jiadong Guo
This map shows the geographic impact of Jiadong Guo'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 Jiadong Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiadong Guo more than expected).
Fields of papers citing papers by Jiadong Guo
This network shows the impact of papers produced by Jiadong Guo. 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 Jiadong Guo. The network helps show where Jiadong Guo may publish in the future.
Co-authorship network of co-authors of Jiadong Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Jiadong Guo. A scholar is included among the top collaborators of Jiadong Guo 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 Jiadong Guo. Jiadong Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 10 | |
| 4 | 117 | |
| 5 | 6 | |
| 6 | 104 | |
| 7 | 14 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 11 | |
| 11 | Double-ended transformer-based multi-phase converters | 5 |
| 12 | High performance forward converter in non-isolated configurations | 5 |
| 13 | 51 |
About Jiadong Guo
Jiadong Guo is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Management Science and Operations Research, having authored 13 papers that have together received 340 indexed citations. Recurring topics across this work include Advanced DC-DC Converters (5 papers), Multilevel Inverters and Converters (5 papers) and Silicon Carbide Semiconductor Technologies (3 papers). The work is most often cited by research in Management Science and Operations Research (102 citations), Geology (42 citations) and Computer Vision and Pattern Recognition (87 citations). Jiadong Guo has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Paulo Borges, Abel Gawel, Hao Sun, Qianggang Ding, Jian Guo, Sifan Wu, Dushan Boroyevich, Ivan Čelanović, Xiaohong Wang and Stephen H. Edwards. Their work appears in journals such as IEEE Robotics and Automation Letters, Journal of Computer Science and Technology and Frontiers of Information Technology & Electronic Engineering.
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.