Song Li
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 5%
- Biomedical Engineering
- Aerospace Engineering top 10%
- Artificial Intelligence top 10%
- Co-authors
- Yanjing SunQiang NiGeyong MinBowen WangSaba Al–RubayeAnthony EphremidesRahul ThakarDorian Liepmann
- Topics
- Energy Harvesting in Wireless Networks (15 papers)IoT and Edge/Fog Computing (11 papers)Cooperative Communication and Network Coding (11 papers)
- Journals
- Biochemical and Biophysical Research CommunicationsExpert Systems with ApplicationsIEEE Access
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Song Li
96 papers receiving 960 citations
Peers
Comparison fields: 5 of 113
- Electrical and Electronic Engineering 399
- Computer Networks and Communications 353
- Biomedical Engineering 182
- Aerospace Engineering 131
- Artificial Intelligence 94
Countries citing papers authored by Song Li
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
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
| # | 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 |
About Song Li
Song Li is a scholar working on Computer Networks and Communications, General Engineering and Electrical and Electronic Engineering, having authored 105 papers that have together received 995 indexed citations. Recurring topics across this work include Energy Harvesting in Wireless Networks (15 papers), IoT and Edge/Fog Computing (11 papers) and Cooperative Communication and Network Coding (11 papers). The work is most often cited by research in Computer Networks and Communications (353 citations), Electrical and Electronic Engineering (399 citations) and Ocean Engineering (84 citations). Song Li has collaborated with scholars based in China, United States and United Kingdom. Frequent 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. Their work appears in journals such as Biochemical and Biophysical Research Communications, 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.