Liwei Song

73 total papers · 996 total citations
41 papers, 520 citations indexed

About

Liwei Song is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Liwei Song has authored 41 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 17 papers in Aerospace Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Liwei Song's work include Antenna Design and Optimization (14 papers), Antenna Design and Analysis (11 papers) and Adversarial Robustness in Machine Learning (6 papers). Liwei Song is often cited by papers focused on Antenna Design and Optimization (14 papers), Antenna Design and Analysis (11 papers) and Adversarial Robustness in Machine Learning (6 papers). Liwei Song collaborates with scholars based in China, United States and Singapore. Liwei Song's co-authors include Prateek Mittal, Baoyan Duan, Xun Li, Yiqun Zhang, Wanye Xu, Reza Shokri, Peng Li, Yang Yang, Dongxu Wang and Jinzhu Zhou and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Antennas and Propagation.

In The Last Decade

Liwei Song

37 papers receiving 501 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Liwei Song	213	200	146	48	41	41	520
Hongyan Tang	155 0.7×	187 0.9×	162 1.1×	87 1.8×	17 0.4×	51	554
Munish Rattan	289 1.4×	346 1.7×	89 0.6×	18 0.4×	69 1.7×	62	607
Kai Chen	138 0.6×	63 0.3×	96 0.7×	27 0.6×	45 1.1×	49	468
Lu Yin	187 0.9×	310 1.6×	58 0.4×	26 0.5×	158 3.9×	71	568
Jie Yang	117 0.5×	146 0.7×	147 1.0×	234 4.9×	27 0.7×	46	487
Sanyog Rawat	322 1.5×	335 1.7×	51 0.3×	35 0.7×	51 1.2×	77	536
Lei Guan	81 0.4×	365 1.8×	148 1.0×	60 1.3×	173 4.2×	57	576
Bo Gao	90 0.4×	230 1.1×	49 0.3×	50 1.0×	81 2.0×	51	487
Xiaopeng Yan	122 0.6×	71 0.4×	191 1.3×	75 1.6×	158 3.9×	60	495
Ali A. Abdallah	312 1.5×	285 1.4×	79 0.5×	23 0.5×	64 1.6×	37	479

Countries citing papers authored by Liwei Song

Since Specialization

Citations

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

Fields of papers citing papers by Liwei Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liwei Song

This figure shows the co-authorship network connecting the top 25 collaborators of Liwei Song. A scholar is included among the top collaborators of Liwei Song 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 Liwei Song. Liwei Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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