Song Hu

44 total papers · 1.1k total citations
35 papers, 849 citations indexed

About

Song Hu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Song Hu has authored 35 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Electrical and Electronic Engineering, 4 papers in Biomedical Engineering and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Song Hu's work include Radio Frequency Integrated Circuit Design (25 papers), Advanced Power Amplifier Design (18 papers) and Microwave Engineering and Waveguides (8 papers). Song Hu is often cited by papers focused on Radio Frequency Integrated Circuit Design (25 papers), Advanced Power Amplifier Design (18 papers) and Microwave Engineering and Waveguides (8 papers). Song Hu collaborates with scholars based in United States, China and Japan. Song Hu's co-authors include Hua Wang, Fei Wang, Shouhei Kousai, Jong Hyeok Park, Taiyun Chi, Yanjie Wang, Tso-Wei Li, Kohei Onizuka, Ruosheng Zeng and Zhiwei Peng and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Microwave Theory and Techniques and Nanotechnology.

In The Last Decade

Song Hu

31 papers receiving 841 citations

Author Peers

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

Author						Papers	Cites
Song Hu	819	69	66	39	38	35	849
Chengmin Li	643 0.8×	51 0.7×	42 0.6×	34 0.9×	7 0.2×	52	726
T. Huiskamp	626 0.8×	113 1.6×	15 0.2×	33 0.8×	41 1.1×	56	770
A. Fox	801 1.0×	93 1.3×	23 0.3×	81 2.1×	26 0.7×	38	833
Bo Yu	743 0.9×	136 2.0×	35 0.5×	76 1.9×	22 0.6×	47	801
Ashok Raman	673 0.8×	49 0.7×	15 0.2×	23 0.6×	19 0.5×	42	715
Zhiping Yu	853 1.0×	63 0.9×	25 0.4×	172 4.4×	18 0.5×	44	893
Jui‐Chih Kao	698 0.9×	24 0.3×	30 0.5×	95 2.4×	73 1.9×	35	732
Prasad S. Gudem	925 1.1×	54 0.8×	35 0.5×	153 3.9×	99 2.6×	55	941
J.J. Brown	767 0.9×	98 1.4×	89 1.3×	90 2.3×	19 0.5×	41	847
Taisuke Iwai	588 0.7×	234 3.4×	72 1.1×	74 1.9×	27 0.7×	50	714

Countries citing papers authored by Song Hu

Since Specialization

Citations

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

Fields of papers citing papers by Song Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Song Hu. A scholar is included among the top collaborators of Song Hu 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 Hu. Song Hu 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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