Xiaojun Yang

90 total papers · 1.1k total citations
62 papers, 733 citations indexed

About

Xiaojun Yang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Xiaojun Yang has authored 62 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 18 papers in Control and Systems Engineering and 14 papers in Aerospace Engineering. Recurrent topics in Xiaojun Yang's work include Iterative Learning Control Systems (12 papers), Biomimetic flight and propulsion mechanisms (11 papers) and Electric Motor Design and Analysis (10 papers). Xiaojun Yang is often cited by papers focused on Iterative Learning Control Systems (12 papers), Biomimetic flight and propulsion mechanisms (11 papers) and Electric Motor Design and Analysis (10 papers). Xiaojun Yang collaborates with scholars based in China and Germany. Xiaojun Yang's co-authors include Dun Lu, Bifeng Song, Wanhua Zhao, Yuxin Leng, Yi Xu, Fenxiang Wu, Ruxin Li, Wenqing Yang, Zhizhan Xu and Changhai Yu and has published in prestigious journals such as Nature, Nature Photonics and Food Chemistry.

In The Last Decade

Xiaojun Yang

59 papers receiving 710 citations

Hit Papers

Free-electron lasing at 2... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Xiaojun Yang 285 227 190 161 154 62 733
K. Min 150 0.5× 133 0.6× 232 1.2× 75 0.5× 65 0.4× 69 759
Paolo Bettini 458 1.6× 184 0.8× 304 1.6× 68 0.4× 67 0.4× 130 836
Houxiu Xiao 387 1.4× 238 1.0× 79 0.4× 205 1.3× 139 0.9× 88 745
R. Martone 329 1.2× 61 0.3× 279 1.5× 92 0.6× 142 0.9× 128 823
M. Houry 167 0.6× 88 0.4× 367 1.9× 84 0.5× 30 0.2× 46 651
Yang Xiang 145 0.5× 223 1.0× 63 0.3× 171 1.1× 150 1.0× 86 881
Rishi Verma 215 0.8× 139 0.6× 300 1.6× 55 0.3× 31 0.2× 85 651
S. Kobayashi 335 1.2× 191 0.8× 44 0.2× 130 0.8× 74 0.5× 69 768
M. Decréton 349 1.2× 134 0.6× 33 0.2× 36 0.2× 86 0.6× 43 630
Fabrizio Paganucci 443 1.6× 104 0.5× 119 0.6× 30 0.2× 158 1.0× 87 760

Countries citing papers authored by Xiaojun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojun Yang

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