Kuangrong Hao
- Artificial Intelligence top 1%
- Computer Networks and Communications top 2%
- Control and Systems Engineering top 2%
- Computer Vision and Pattern Recognition top 2%
- Computational Theory and Mathematics top 1%
- Topics
- Fault Detection and Control Systems (29 papers)Metaheuristic Optimization Algorithms Research (25 papers)Artificial Immune Systems Applications (22 papers)
- Cited by
- Industrial and Manufacturing EngineeringArtificial IntelligenceComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Industrial ElectronicsExpert Systems with Applications
- Partner nations
- ChinaCanadaUnited Kingdom
In The Last Decade
Kuangrong Hao
233 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Artificial Intelligence 1.2k
- Computer Networks and Communications 753
- Control and Systems Engineering 611
- Computer Vision and Pattern Recognition 578
- Computational Theory and Mathematics 482
Countries citing papers authored by Kuangrong Hao
This map shows the geographic impact of Kuangrong Hao'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 Kuangrong Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuangrong Hao more than expected).
Fields of papers citing papers by Kuangrong Hao
This network shows the impact of papers produced by Kuangrong Hao. 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 Kuangrong Hao. The network helps show where Kuangrong Hao may publish in the future.
Co-authorship network of co-authors of Kuangrong Hao
This figure shows the co-authorship network connecting the top 25 collaborators of Kuangrong Hao. A scholar is included among the top collaborators of Kuangrong Hao 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 Kuangrong Hao. Kuangrong Hao 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 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 10 | |
| 12 | 9 | |
| 13 | 8 | |
| 14 | 2 | |
| 15 | 29 | |
| 16 | 15 | |
| 17 | 7 | |
| 18 | 13 | |
| 19 | 16 | |
| 20 | Two-layer multi-swarm particle swarm optimal algorithm with application to optimal water supply dispatching of multi-reservoirs | 0 |
About Kuangrong Hao
Kuangrong Hao is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Industrial and Manufacturing Engineering, having authored 262 papers that have together received 3.3k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (29 papers), Metaheuristic Optimization Algorithms Research (25 papers) and Artificial Immune Systems Applications (22 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (416 citations), Artificial Intelligence (1.2k citations) and Computer Networks and Communications (753 citations). Kuangrong Hao has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Yongsheng Ding, Yaochu Jin, Lei Chen, Yicun Hua, Xue‐song Tang, Bing Wei, Lihong Ren, Biao Huang, Guangshun Yao and MengChu Zhou. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Expert Systems with Applications.
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.