Xuxun Liu

2.3k citations
64 papers · 1.8k indexed · 1 hit paper · h-index 27
Topics
Energy Efficient Wireless Sensor Networks (25 papers)Energy Harvesting in Wireless Networks (19 papers)IoT and Edge/Fog Computing (18 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Xuxun Liu

62 papers receiving 1.7k citations

Hit Papers

Deep Reinforcement Learning for Energy-Efficient Computat...2021202620222024202150100150200

Peers

Xuxun Liu
Comparison fields: 5 of 75
  • Computer Networks and Communications 1.4k
  • Electrical and Electronic Engineering 874
  • Information Systems 249
  • Artificial Intelligence 238
  • Aerospace Engineering 203
Replace Chi Lin with:
Chi Lin China
Guiling Wang United States
Ming Ma United States
Shigeng Zhang China
Xianjun Deng China
Xiangwang Hou China
Pedro José Marrón Germany
Nadjib Badache Algeria
Chiara Buratti Italy
Hakima Chaouchi France
Xuxun Liu relative to Chi Lin China Chi Lin's profile →
Citations per field
00.5×3.7×
Chi Lin · 1×
Citations per year

Countries citing papers authored by Xuxun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xuxun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuxun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xuxun Liu. A scholar is included among the top collaborators of Xuxun 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 Xuxun Liu. Xuxun Liu 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 1
2 1
3 2
4 2
5 1
6 4
7 44
8 10
9 59
10 28
11 38
12 54
13 73
14 47
15 41
16 33
17 9
18 43
19 32
20 26

About Xuxun Liu

Xuxun Liu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence, having authored 64 papers that have together received 1.8k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (25 papers), Energy Harvesting in Wireless Networks (19 papers) and IoT and Edge/Fog Computing (18 papers). The work is most often cited by research in Computer Networks and Communications (1.4k citations), Electrical and Electronic Engineering (874 citations) and Information Systems (249 citations). Xuxun Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Tian Wang, Anfeng Liu, Huan Zhou, Victor C. M. Leung, Kai Jiang, Xiuhua Li, Wenzheng Xu, Peiyu Zhang, Tie Qiu and Yuxin Liu. Their work appears in journals such as IEEE Access, Sensors and IEEE Transactions on Communications.

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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