Qi Song

49 total papers · 722 total citations
35 papers, 510 citations indexed

About

Qi Song is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Qi Song has authored 35 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 11 papers in Aerospace Engineering and 8 papers in Control and Systems Engineering. Recurrent topics in Qi Song's work include Robotics and Sensor-Based Localization (8 papers), Robotic Path Planning Algorithms (7 papers) and Target Tracking and Data Fusion in Sensor Networks (6 papers). Qi Song is often cited by papers focused on Robotics and Sensor-Based Localization (8 papers), Robotic Path Planning Algorithms (7 papers) and Target Tracking and Data Fusion in Sensor Networks (6 papers). Qi Song collaborates with scholars based in China, United States and India. Qi Song's co-authors include Jianda Han, Qinglei Zhao, Xiaohe Chen, Zhe Jiang, Shuxin Wang, Qiang Liu, Yuqing He, Zilai Pan, Chao Yan and Huan Zhang and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Qi Song

33 papers receiving 492 citations

Author Peers

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

Author						Papers	Cites
Qi Song	160	154	141	115	100	35	510
Yanjie Li	108 0.7×	193 1.3×	91 0.6×	49 0.4×	55 0.6×	62	540
Guofeng Tong	73 0.5×	173 1.1×	86 0.6×	63 0.5×	42 0.4×	44	453
Xuenan Cui	83 0.5×	253 1.6×	50 0.4×	124 1.1×	81 0.8×	38	529
Jing Huang	60 0.4×	210 1.4×	68 0.5×	179 1.6×	194 1.9×	54	570
Yasuyo Kita	113 0.7×	280 1.8×	96 0.7×	74 0.6×	77 0.8×	58	510
Yinan Chen	162 1.0×	312 2.0×	57 0.4×	142 1.2×	92 0.9×	28	588
Necaattin Barışçı	90 0.6×	133 0.9×	32 0.2×	118 1.0×	56 0.6×	58	526
Ruwan Tennakoon	144 0.9×	228 1.5×	81 0.6×	103 0.9×	35 0.3×	50	476
M. Anwar Ma’sum	144 0.9×	201 1.3×	162 1.1×	21 0.2×	43 0.4×	59	595
Jie Ying Wu	85 0.5×	171 1.1×	36 0.3×	72 0.6×	218 2.2×	76	600

Countries citing papers authored by Qi Song

Since Specialization

Citations

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

Fields of papers citing papers by Qi Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Song

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