Qiang Liu
- Electrical and Electronic Engineering top 10%
- Aerospace Engineering top 2%
- Computer Networks and Communications top 2%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 5%
- Topics
- Molecular Communication and Nanonetworks (24 papers)Wireless Body Area Networks (18 papers)Advanced biosensing and bioanalysis techniques (15 papers)
- Cited by
- Computer Networks and CommunicationsAerospace EngineeringElectrical and Electronic Engineering
- Journals
- SHILAP Revista de lepidopterologíaRenewable and Sustainable Energy ReviewsNano Energy
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Qiang Liu
100 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 95
- Electrical and Electronic Engineering 592
- Aerospace Engineering 469
- Computer Networks and Communications 467
- Biomedical Engineering 201
- Computer Vision and Pattern Recognition 186
Countries citing papers authored by Qiang Liu
This map shows the geographic impact of Qiang Liu'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 Qiang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiang Liu more than expected).
Fields of papers citing papers by Qiang Liu
This network shows the impact of papers produced by Qiang Liu. 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 Qiang Liu. The network helps show where Qiang Liu may publish in the future.
Co-authorship network of co-authors of Qiang Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Qiang Liu. A scholar is included among the top collaborators of Qiang Liu 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 Qiang Liu. Qiang Liu 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 | 2 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 28 | |
| 12 | Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition | 4 |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | Research on Bionic Active Sonar Covert Detection Technology Based on Dolphin Whistle Signal | 3 |
| 17 | 2 | |
| 18 | Staggered scheduling of estimation and fusion in long-haul sensor networks | 3 |
| 19 | 2 | |
| 20 | Improvement of MP based voice signal sparse decomposition by using FFT | 0 |
About Qiang Liu
Qiang Liu is a scholar working on Computer Networks and Communications, Aerospace Engineering and Electrical and Electronic Engineering, having authored 111 papers that have together received 1.4k indexed citations. Recurring topics across this work include Molecular Communication and Nanonetworks (24 papers), Wireless Body Area Networks (18 papers) and Advanced biosensing and bioanalysis techniques (15 papers). The work is most often cited by research in Computer Networks and Communications (467 citations), Aerospace Engineering (469 citations) and Electrical and Electronic Engineering (592 citations). Qiang Liu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Kun Yang, Haibo Mei, Kezhi Wang, Supeng Leng, Longyu Zhou, Qing Wang, Zheng‐Yong Yu, Shun‐Peng Zhu, Yunhan Liu and Jun Shen. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Nano Energy.
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.