Leijian Yu

30 total papers · 639 total citations
23 papers, 419 citations indexed

About

Leijian Yu is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Leijian Yu has authored 23 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Aerospace Engineering, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Mechanical Engineering. Recurrent topics in Leijian Yu's work include Robotics and Sensor-Based Localization (11 papers), Robotic Path Planning Algorithms (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Leijian Yu is often cited by papers focused on Robotics and Sensor-Based Localization (11 papers), Robotic Path Planning Algorithms (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Leijian Yu collaborates with scholars based in United Kingdom, China and Italy. Leijian Yu's co-authors include Erfu Yang, Cai Luo, Peng Ren, Xiu-Tian Yan, Gordon Dobie, Dongbing Gu, Zixiang Fei, Zhongwei Li, Xiao Bai and Huiyu Zhou and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and IEEE Transactions on Industrial Informatics.

In The Last Decade

Leijian Yu

22 papers receiving 409 citations

Author Peers

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

Author Last Decade Papers Cites
Leijian Yu 182 168 66 59 56 23 419
Mario Gianni 147 0.8× 153 0.9× 66 1.0× 88 1.5× 73 1.3× 40 419
Chun-Chi Lai 117 0.6× 155 0.9× 60 0.9× 109 1.8× 79 1.4× 32 481
Pengpeng Sun 97 0.5× 188 1.1× 51 0.8× 65 1.1× 31 0.6× 15 456
Sedat Dogru 137 0.8× 170 1.0× 98 1.5× 78 1.3× 27 0.5× 32 424
Ke Zhou 116 0.6× 126 0.8× 39 0.6× 22 0.4× 42 0.8× 18 403
Changyun Wei 91 0.5× 154 0.9× 60 0.9× 84 1.4× 115 2.1× 45 479
Tianlei Ma 180 1.0× 102 0.6× 81 1.2× 103 1.7× 57 1.0× 33 489
Fei Fan 147 0.8× 84 0.5× 175 2.7× 55 0.9× 32 0.6× 27 455
Mario Silvagni 194 1.1× 113 0.7× 77 1.2× 143 2.4× 35 0.6× 29 460
Francisco Bonnin‐Pascual 150 0.8× 172 1.0× 75 1.1× 27 0.5× 18 0.3× 29 369

Countries citing papers authored by Leijian Yu

Since Specialization
Citations

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

Fields of papers citing papers by Leijian Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leijian Yu

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