Peiyan Yuan

1.2k citations
67 papers · 849 indexed · 1 hit paper · h-index 12
Topics
Opportunistic and Delay-Tolerant Networks (47 papers)Mobile Ad Hoc Networks (30 papers)Caching and Content Delivery (29 papers)

In The Last Decade

Peiyan Yuan

54 papers receiving 813 citations

Hit Papers

Opportunities in mobile crowd sensing20142026201820222014100200300

Peers

Peiyan Yuan
Comparison fields: 5 of 76
  • Computer Networks and Communications 463
  • Computer Science Applications 243
  • Electrical and Electronic Engineering 195
  • Transportation 152
  • Artificial Intelligence 103
Replace Natasa Sarafijanovic-Djukic with:
Natasa Sarafijanovic-Djukic Switzerland
Jiahui Hu China
Xiong Wang China
Tri‐Hai Nguyen South Korea
Wenwen Gong China
Xiaochun Yin China
Zuobin Xiong United States
Maytham Safar Kuwait
Vijay K. Shah United States
Peiyan Yuan relative to Natasa Sarafijanovic-Djukic Switzerland Natasa Sarafijanovic-Djukic's profile →
Citations per field
00.5×5.8×
Natasa Sarafijanovic-Djukic · 1×
Citations per year

Countries citing papers authored by Peiyan Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Peiyan Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peiyan Yuan

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 0
5 0
6 42
7 51
8 5
9 1
10 7
11
MONICA: One Simulator for Mobile Opportunistic Networks
2
12 3
13 4
14 34
15 9
16 3
17 14
18 6
19 0
20 7

About Peiyan Yuan

Peiyan Yuan is a scholar working on Computer Networks and Communications, Transportation and Statistical and Nonlinear Physics, having authored 67 papers that have together received 849 indexed citations. Recurring topics across this work include Opportunistic and Delay-Tolerant Networks (47 papers), Mobile Ad Hoc Networks (30 papers) and Caching and Content Delivery (29 papers). The work is most often cited by research in Computer Science Applications (243 citations), Transportation (152 citations) and Computer Networks and Communications (463 citations). Peiyan Yuan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Huadóng Ma, Dong Zhao, Shaojie Tang, Xiaoyan Zhao, Ping Liu, Guoqiang Li, Baofang Chang, Li Layuan, Huiyuan Fu and Qing Zhao. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

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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