Quanjun Song

83 total papers · 887 total citations
59 papers, 676 citations indexed

About

Quanjun Song is a scholar working on Biomedical Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Quanjun Song has authored 59 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Biomedical Engineering, 15 papers in Control and Systems Engineering and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Quanjun Song's work include Muscle activation and electromyography studies (16 papers), Prosthetics and Rehabilitation Robotics (7 papers) and EEG and Brain-Computer Interfaces (6 papers). Quanjun Song is often cited by papers focused on Muscle activation and electromyography studies (16 papers), Prosthetics and Rehabilitation Robotics (7 papers) and EEG and Brain-Computer Interfaces (6 papers). Quanjun Song collaborates with scholars based in China, Canada and Australia. Quanjun Song's co-authors include Yunjian Ge, Lina Tong, Qiaokang Liang, Ming Liu, Dan Zhang, Ge Yu, Shuai Li, Yong Yu, Max Q.‐H. Meng and Yangming Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Informatics and Sensors and Actuators A Physical.

In The Last Decade

Quanjun Song

54 papers receiving 648 citations

Author Peers

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

Author						Papers	Cites
Quanjun Song	318	231	186	139	81	59	676
Gu‐Min Jeong	228 0.7×	215 0.9×	89 0.5×	183 1.3×	50 0.6×	73	639
Özkan Bebek	463 1.5×	99 0.4×	87 0.5×	145 1.0×	92 1.1×	54	767
Mohd Faisal Ibrahim	168 0.5×	120 0.5×	120 0.6×	139 1.0×	59 0.7×	60	703
Alberto Brunete	333 1.0×	234 1.0×	132 0.7×	59 0.4×	243 3.0×	48	684
Kui Xiang	335 1.1×	106 0.5×	98 0.5×	103 0.7×	73 0.9×	78	697
Xavier Savatier	227 0.7×	354 1.5×	61 0.3×	130 0.9×	43 0.5×	48	794
Pei Di	463 1.5×	143 0.6×	199 1.1×	30 0.2×	125 1.5×	50	732
SangJoo Kwon	149 0.5×	126 0.5×	369 2.0×	68 0.5×	94 1.2×	50	554
Lei Sun	263 0.8×	110 0.5×	315 1.7×	31 0.2×	166 2.0×	112	667
Sangdeok Park	271 0.9×	96 0.4×	250 1.3×	72 0.5×	105 1.3×	62	616

Countries citing papers authored by Quanjun Song

Since Specialization

Citations

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

Fields of papers citing papers by Quanjun Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quanjun Song

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