Xiaoqi Qin
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- Age of Information Optimization 26
- Cooperative Communication and Network Coding 16
- IoT and Edge/Fog Computing 11
- Artificial Intelligence top 2%
- Privacy-Preserving Technologies in Data 16
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- Advanced MIMO Systems Optimization 21
- IoT Networks and Protocols 19
- Advanced Wireless Communication Technologies 13
- Wireless Communication Security Techniques 9
- Aerospace Engineering top 5%
- Cited by
- Computer Networks and CommunicationsArtificial IntelligenceComputer Vision and Pattern Recognition
- Journals
- IEEE Internet of Things Journal (16 papers)IEEE Transactions on Wireless Communications (10 papers)IEEE Journal on Selected Areas in Communications (9 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Xiaoqi Qin
103 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Computer Networks and Communications 728
- Artificial Intelligence 585
- Computer Vision and Pattern Recognition 320
- Electrical and Electronic Engineering 762
- Aerospace Engineering 258
Countries citing papers authored by Xiaoqi Qin
This map shows the geographic impact of Xiaoqi Qin'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 Xiaoqi Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoqi Qin more than expected).
Fields of papers citing papers by Xiaoqi Qin
This network shows the impact of papers produced by Xiaoqi Qin. 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 Xiaoqi Qin. The network helps show where Xiaoqi Qin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoqi Qin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 5 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 22 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 5 | |
| 12 | 2024 | 1 | |
| 13 | 2023 | 13 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 4 | |
| 16 | 2023 | 25 | |
| 17 | 2023 | 7 | |
| 18 | Wireless Deep Video Semantic Transmissionbreakdown → | 2022 | 136 |
| 19 | Nonlinear Transform Source-Channel Coding for Semantic Communicationsbreakdown → | 2022 | 191 |
| 20 | 2021 | 148 |
About Xiaoqi Qin
Xiaoqi Qin is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence, having authored 122 papers that have together received 1.8k indexed citations. Recurring topics across this work include Age of Information Optimization (26 papers), Advanced MIMO Systems Optimization (21 papers), IoT Networks and Protocols (19 papers), Cooperative Communication and Network Coding (16 papers), Privacy-Preserving Technologies in Data (16 papers), Advanced Wireless Communication Technologies (13 papers), IoT and Edge/Fog Computing (11 papers) and Wireless Communication Security Techniques (9 papers). The work is most often cited by research in Computer Networks and Communications (728 citations), Artificial Intelligence (585 citations) and Computer Vision and Pattern Recognition (320 citations). Xiaoqi Qin has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Ping Zhang, Kai Niu, Jincheng Dai, Sixian Wang, Xiaodong Xu, Zhongwei Si, Mengying Sun, Kailin Tan, Baoling Liu and Chuan Huang. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Wireless Communications, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Mobile Computing and IEEE Transactions on Vehicular Technology.
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.