Pei-Qiu Huang
- Computer Networks and Communications top 2%
- Aerospace Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Topics
- Advanced Multi-Objective Optimization Algorithms (13 papers)Metaheuristic Optimization Algorithms Research (11 papers)UAV Applications and Optimization (6 papers)
- Cited by
- Computer Networks and CommunicationsAerospace EngineeringComputer Vision and Pattern Recognition
- Journals
- Information SciencesIEEE Transactions on Vehicular TechnologyIEEE Transactions on Cybernetics
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Pei-Qiu Huang
26 papers receiving 929 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Computer Networks and Communications 461
- Aerospace Engineering 418
- Computer Vision and Pattern Recognition 225
- Artificial Intelligence 220
- Electrical and Electronic Engineering 218
Countries citing papers authored by Pei-Qiu Huang
This map shows the geographic impact of Pei-Qiu Huang'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 Pei-Qiu Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei-Qiu Huang more than expected).
Fields of papers citing papers by Pei-Qiu Huang
This network shows the impact of papers produced by Pei-Qiu Huang. 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 Pei-Qiu Huang. The network helps show where Pei-Qiu Huang may publish in the future.
Co-authorship network of co-authors of Pei-Qiu Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Pei-Qiu Huang. A scholar is included among the top collaborators of Pei-Qiu Huang 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 Pei-Qiu Huang. Pei-Qiu Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 18 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 10 | |
| 10 | 11 | |
| 11 | 15 | |
| 12 | 86 | |
| 13 | 34 | |
| 14 | 28 | |
| 15 | 97 | |
| 16 | 46 | |
| 17 | 31 | |
| 18 | 6 | |
| 19 | 12 | |
| 20 | 121 |
About Pei-Qiu Huang
Pei-Qiu Huang is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Artificial Intelligence, having authored 26 papers that have together received 938 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (13 papers), Metaheuristic Optimization Algorithms Research (11 papers) and UAV Applications and Optimization (6 papers). The work is most often cited by research in Computer Networks and Communications (461 citations), Aerospace Engineering (418 citations) and Computer Vision and Pattern Recognition (225 citations). Pei-Qiu Huang has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Yong Wang, Kezhi Wang, Zhizhong Liu, Kun Yang, Muhammad Asim, Bing-Chuan Wang, Yu Zhou, Qingfu Zhang, Fei Li and Liang Wang. Their work appears in journals such as Information Sciences, IEEE Transactions on Vehicular Technology and IEEE Transactions on Cybernetics.
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.