Shun Yang

53 total papers · 622 total citations
35 papers, 440 citations indexed

About

Shun Yang is a scholar working on Automotive Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shun Yang has authored 35 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Automotive Engineering, 8 papers in Control and Systems Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shun Yang's work include Autonomous Vehicle Technology and Safety (8 papers), Distributed Control Multi-Agent Systems (4 papers) and Vehicle Dynamics and Control Systems (3 papers). Shun Yang is often cited by papers focused on Autonomous Vehicle Technology and Safety (8 papers), Distributed Control Multi-Agent Systems (4 papers) and Vehicle Dynamics and Control Systems (3 papers). Shun Yang collaborates with scholars based in China, United States and Germany. Shun Yang's co-authors include Weiwen Deng, Wenshuo Wang, Jian Wu, Chang Liu, Guojun Wang, Rui He, Weiwei Bai, Yue Wu, Chang Liu and Jian Zhao and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and Frontiers in Immunology.

In The Last Decade

Shun Yang

30 papers receiving 421 citations

Author Peers

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

Author						Papers	Cites
Shun Yang	169	109	107	58	58	35	440
Richard Bishop	206 1.2×	94 0.9×	121 1.1×	53 0.9×	72 1.2×	15	394
Sifa Zheng	215 1.3×	87 0.8×	174 1.6×	41 0.7×	68 1.2×	60	464
Marc René Zofka	262 1.6×	100 0.9×	130 1.2×	16 0.3×	67 1.2×	31	385
Viktor Tihanyi	223 1.3×	66 0.6×	167 1.6×	26 0.4×	111 1.9×	42	395
Claude Laurgeau	209 1.2×	228 2.1×	66 0.6×	26 0.4×	92 1.6×	26	438
Edgar Talavera	121 0.7×	84 0.8×	95 0.9×	67 1.2×	97 1.7×	21	430
Jean-Philippe Lauffenburger	162 1.0×	114 1.0×	92 0.9×	60 1.0×	82 1.4×	56	417
Enrique Martí	175 1.0×	107 1.0×	77 0.7×	19 0.3×	63 1.1×	18	373
Yibin Yang	71 0.4×	46 0.4×	56 0.5×	68 1.2×	62 1.1×	32	410
Shangding Gu	95 0.6×	169 1.6×	132 1.2×	37 0.6×	55 0.9×	24	487

Countries citing papers authored by Shun Yang

Since Specialization

Citations

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

Fields of papers citing papers by Shun Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shun Yang

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