Song Xing

475 citations
53 papers · 354 indexed · h-index 10
Topics
Advanced MIMO Systems Optimization (13 papers)Cooperative Communication and Network Coding (10 papers)Advanced Wireless Communication Technologies (8 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Song Xing

46 papers receiving 346 citations

Peers

Song Xing
Comparison fields: 5 of 58
  • Electrical and Electronic Engineering 257
  • Computer Networks and Communications 180
  • Aerospace Engineering 54
  • Artificial Intelligence 45
  • Ocean Engineering 43
Replace Linlan Liu with:
Linlan Liu China
Zhaohui Li China
Yan Yao China
Zhenquan Qin China
Donald J. Bucci United States
Guoping Tan China
Omar A. Nasr Egypt
Dongkai Yang China
Jin Young Kim South Korea
Song Xing relative to Linlan Liu China Linlan Liu's profile →
Citations per field
00.5×
Linlan Liu · 1×
Citations per year

Countries citing papers authored by Song Xing

Since Specialization
Citations

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

Fields of papers citing papers by Song Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Song Xing. A scholar is included among the top collaborators of Song Xing 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 Song Xing. Song Xing 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 5
3 9
4 10
5 6
6 2
7 1
8 1
9 1
10 5
11 10
12 7
13 1
14 13
15 2
16 4
17 30
18
Fast neighbor-finding algorithm based on linear quadtree
0
19 14
20
Variable Structure Neural Network for Short Term Flood Forecasting
1

About Song Xing

Song Xing is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Instrumentation, having authored 53 papers that have together received 354 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (13 papers), Cooperative Communication and Network Coding (10 papers) and Advanced Wireless Communication Technologies (8 papers). The work is most often cited by research in Computer Networks and Communications (180 citations), Electrical and Electronic Engineering (257 citations) and Ocean Engineering (43 citations). Song Xing has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Lianfeng Shen, Feng Yan, Weiwei Xia, Yaping Zhu, Yueyue Zhang, Haikun Wei, Haijian Shao, Zhengquan Li, Jiawu Li and Yi Wu. Their work appears in journals such as IEEE Access, IEEE Journal on Selected Areas in Communications 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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