Song Li

1.4k total citations
105 papers, 995 citations indexed

About

Song Li is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Song Li has authored 105 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Computer Networks and Communications, 48 papers in Electrical and Electronic Engineering and 16 papers in Aerospace Engineering. Recurrent topics in Song Li's work include Energy Harvesting in Wireless Networks (15 papers), IoT and Edge/Fog Computing (11 papers) and Cooperative Communication and Network Coding (11 papers). Song Li is often cited by papers focused on Energy Harvesting in Wireless Networks (15 papers), IoT and Edge/Fog Computing (11 papers) and Cooperative Communication and Network Coding (11 papers). Song Li collaborates with scholars based in China, United States and United Kingdom. Song Li's co-authors include Yanjing Sun, Qiang Ni, Geyong Min, Bowen Wang, Saba Al–Rubaye, Anthony Ephremides, Rahul Thakar, Dorian Liepmann, Xin Cui and Zhi Sun and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Expert Systems with Applications and IEEE Access.

In The Last Decade

Song Li

96 papers receiving 960 citations

Peers

Song Li
Comparison fields: 5 of 113
  • Electrical and Electronic Engineering 399
  • Computer Networks and Communications 353
  • Biomedical Engineering 182
  • Aerospace Engineering 131
  • Artificial Intelligence 94
Replace Xiangnan Liu with:
Xiangnan Liu China
Hyun‐Jin Choi South Korea
Shining Li China
Nan Qi China
Yifu Sun China
Yutong Liu China
Yuhua Zhang China
Young Lee United States
Jeong Geun Kim South Korea
Xiangnan Liu China View profile →
Citations per field, relative to Song Li
Song Li · 1×
Citations per year, relative to Song Li
Song Li · 1×

Countries citing papers authored by Song Li

Since Specialization
Citations

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

Fields of papers citing papers by Song Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Li

This figure shows the co-authorship network connecting the top 25 collaborators of Song Li. A scholar is included among the top collaborators of Song Li 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 Li. Song Li 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
# Work Indexed citations
1 4
2 1
3 1
4 1
5 1
6 10
7 3
8 1
9 18
10 26
11 12
12 15
13 13
14 16
15 11
16 126
17 54
18 7
19
Comparison of frequency and time domain differential detection BER performance of OFDM
1
20
A Fast Method of Solving Partitioned Adjustment for Super Large-scale Geodetic Network
3

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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