Xiaoyu Qiu

945 citations
12 papers · 711 indexed · 2 hit papers · h-index 9
Topics
Blockchain Technology Applications and Security (7 papers)IoT and Edge/Fog Computing (6 papers)Mobile Crowdsensing and Crowdsourcing (3 papers)
Partner nations
ChinaHong KongNorway

In The Last Decade

Xiaoyu Qiu

12 papers receiving 696 citations

Hit Papers

Online Deep Reinforcement Learning for Computation Offloa...20192026202120232019202150100150200

Peers

Xiaoyu Qiu
Comparison fields: 5 of 59
  • Computer Networks and Communications 482
  • Information Systems 297
  • Electrical and Electronic Engineering 183
  • Artificial Intelligence 169
  • Aerospace Engineering 65
Replace Ruiting Zhou with:
Ruiting Zhou China
Tianle Mai China
Hailiang Zhao China
Weiwei Chen China
Lanlan Rui China
Sukant Kishoro Bisoy India
Nektarios Georgalas United Kingdom
Tianyi Song United States
Yuan Xue China
Chuanhe Huang China
Xiaoyu Qiu relative to Ruiting Zhou China Ruiting Zhou's profile →
Citations per field
00.5×1.5×1.8×
Ruiting Zhou · 1×
Citations per year

Countries citing papers authored by Xiaoyu Qiu

Since Specialization
Citations

This map shows the geographic impact of Xiaoyu Qiu'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 Xiaoyu Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyu Qiu more than expected).

Fields of papers citing papers by Xiaoyu Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoyu Qiu. 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 Xiaoyu Qiu. The network helps show where Xiaoyu Qiu may publish in the future.

Co-authorship network of co-authors of Xiaoyu Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyu Qiu. A scholar is included among the top collaborators of Xiaoyu Qiu 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 Xiaoyu Qiu. Xiaoyu Qiu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 5
2 1
3 10
4 3
5
Deep Reinforcement Learning for Internet of Things: A Comprehensive Surveybreakdown →
206
6 27
7 90
8 46
9
Online Deep Reinforcement Learning for Computation Offloading in Blockchain-Empowered Mobile Edge Computingbreakdown →
218
10 57
11 10
12 38

About Xiaoyu Qiu

Xiaoyu Qiu is a scholar working on Computer Science Applications, Information Systems and Computer Networks and Communications, having authored 12 papers that have together received 711 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (7 papers), IoT and Edge/Fog Computing (6 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). The work is most often cited by research in Computer Networks and Communications (482 citations), Information Systems (297 citations) and Computer Science Applications (45 citations). Xiaoyu Qiu has collaborated with scholars based in China, Hong Kong and Norway. Frequent co-authors include Wuhui Chen, Zibin Zheng, Zicong Hong, Hong‐Ning Dai, Ting Cai, Yan Zhang, Kang Liu, Jiajing Wu, Rong Lai and Xu Chen. Their work appears in journals such as IEEE Communications Surveys & Tutorials, IEEE Access 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.

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