Hanbing Qu
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering
- Artificial Intelligence
- Aerospace Engineering
- Topics
- Optimal Power Flow Distribution (11 papers)Power System Optimization and Stability (7 papers)Microgrid Control and Optimization (6 papers)
- Cited by
- Energy Engineering and Power TechnologyComputer Vision and Pattern RecognitionSafety, Risk, Reliability and Quality
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Access
- Partner nations
- ChinaUnited States
In The Last Decade
Hanbing Qu
28 papers receiving 227 citations
Peers
Comparison fields: 5 of 61
- Electrical and Electronic Engineering 95
- Computer Vision and Pattern Recognition 69
- Control and Systems Engineering 52
- Artificial Intelligence 50
- Aerospace Engineering 27
Countries citing papers authored by Hanbing Qu
This map shows the geographic impact of Hanbing Qu'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 Hanbing Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanbing Qu more than expected).
Fields of papers citing papers by Hanbing Qu
This network shows the impact of papers produced by Hanbing Qu. 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 Hanbing Qu. The network helps show where Hanbing Qu may publish in the future.
Co-authorship network of co-authors of Hanbing Qu
This figure shows the co-authorship network connecting the top 25 collaborators of Hanbing Qu. A scholar is included among the top collaborators of Hanbing Qu 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 Hanbing Qu. Hanbing Qu 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 | 0 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 26 | |
| 11 | 3 | |
| 12 | 28 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | Variational bayes learning for models with linear equality constraints | 1 |
| 17 | 7 | |
| 18 | 33 | |
| 19 | 1 | |
| 20 | 1 |
About Hanbing Qu
Hanbing Qu is a scholar working on Energy Engineering and Power Technology, Safety, Risk, Reliability and Quality and Control and Systems Engineering, having authored 35 papers that have together received 233 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (11 papers), Power System Optimization and Stability (7 papers) and Microgrid Control and Optimization (6 papers). The work is most often cited by research in Energy Engineering and Power Technology (11 citations), Computer Vision and Pattern Recognition (69 citations) and Safety, Risk, Reliability and Quality (25 citations). Hanbing Qu has collaborated with scholars based in China and United States. Frequent co-authors include Yutian Liu, Bao-Gang Hu, Jiaqiang Wang, Shuang-Hong Yang, Yong Wang, Zhen Zhou, Ming Yu, Bin Li, Zhi Li and Jiaqiang Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.
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.