Xueshan Gao

66 total papers · 583 total citations
57 papers, 433 citations indexed

About

Xueshan Gao is a scholar working on Biomedical Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xueshan Gao has authored 57 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Biomedical Engineering, 28 papers in Control and Systems Engineering and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xueshan Gao's work include Robotic Locomotion and Control (25 papers), Control and Dynamics of Mobile Robots (21 papers) and Robotic Path Planning Algorithms (15 papers). Xueshan Gao is often cited by papers focused on Robotic Locomotion and Control (25 papers), Control and Dynamics of Mobile Robots (21 papers) and Robotic Path Planning Algorithms (15 papers). Xueshan Gao collaborates with scholars based in China, Finland and Japan. Xueshan Gao's co-authors include Tao Yang, Shigong Jiang, Qiang Huang, S.J. Ovaska, Kejie Li, Xingguang Duan, Jingtao Li, Bin Li, Yang Bai and Yan Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Xueshan Gao

51 papers receiving 408 citations

Author Peers

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

Author						Papers	Cites
Xueshan Gao	229	219	110	94	47	57	433
Aleksandar Rodić	182 0.8×	134 0.6×	90 0.8×	78 0.8×	22 0.5×	68	397
Jun Kinugawa	276 1.2×	188 0.9×	133 1.2×	87 0.9×	31 0.7×	48	492
Shady A. Maged	146 0.6×	100 0.5×	98 0.9×	71 0.8×	47 1.0×	71	382
Changlong Ye	230 1.0×	280 1.3×	146 1.3×	190 2.0×	17 0.4×	61	437
Siddarth Jain	182 0.8×	86 0.4×	68 0.6×	72 0.8×	60 1.3×	31	391
Tae-Yong Choi	194 0.8×	240 1.1×	70 0.6×	120 1.3×	17 0.4×	78	435
Haitham El-Hussieny	163 0.7×	214 1.0×	65 0.6×	105 1.1×	22 0.5×	52	386
Saïd Zeghloul	238 1.0×	265 1.2×	92 0.8×	89 0.9×	17 0.4×	44	410
Shigeyuki Hosoe	238 1.0×	188 0.9×	63 0.6×	75 0.8×	29 0.6×	67	424
Vikas Panwar	345 1.5×	115 0.5×	78 0.7×	133 1.4×	41 0.9×	35	452

Countries citing papers authored by Xueshan Gao

Since Specialization

Citations

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

Fields of papers citing papers by Xueshan Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xueshan Gao

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