Yuankun Xue

614 citations
25 papers · 489 indexed · h-index 14
Topics
Interconnection Networks and Systems (11 papers)Parallel Computing and Optimization Techniques (8 papers)Neural dynamics and brain function (4 papers)

In The Last Decade

Yuankun Xue

24 papers receiving 485 citations

Peers

Yuankun Xue
Comparison fields: 5 of 68
  • Computer Networks and Communications 256
  • Electrical and Electronic Engineering 155
  • Hardware and Architecture 143
  • Statistical and Nonlinear Physics 65
  • Artificial Intelligence 64
Replace Huang Wei with:
Huang Wei China
Weixia Xu China
Mohammad Nasim Imtiaz Khan United States
You Zhou United States
Vincent Gripon France
Toshiyuki Shimizu Japan
Frank Z. Wang United Kingdom
Sohaib Majzoub United Arab Emirates
Richard Linderman United States
Susumu Date Japan
Yuankun Xue relative to Huang Wei China Huang Wei's profile →
Citations per field
00.5×4.0×
Huang Wei · 1×
Citations per year

Countries citing papers authored by Yuankun Xue

Since Specialization
Citations

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

Fields of papers citing papers by Yuankun Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuankun Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Yuankun Xue. A scholar is included among the top collaborators of Yuankun Xue 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 Yuankun Xue. Yuankun Xue 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 27
2 4
3 17
4 33
5 69
6 19
7 25
8 18
9 39
10 26
11 5
12 0
13 4
14 4
15 1
16 1
17 25
18 31
19 3
20 4

About Yuankun Xue

Yuankun Xue is a scholar working on Hardware and Architecture, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 25 papers that have together received 489 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (11 papers), Parallel Computing and Optimization Techniques (8 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Hardware and Architecture (143 citations), Computer Networks and Communications (256 citations) and Statistical and Nonlinear Physics (65 citations). Yuankun Xue has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Paul Bogdan, Shahin Nazarian, Partha Pratim Pande, Sérgio Pequito, George J. Pappas, Zhiliang Qian, Massoud Pedram, Chi-Ying Tsui, Yanzhi Wang and Ji Li. Their work appears in journals such as Nature Communications, PLoS ONE and Scientific Reports.

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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