Yiqun Dong

58 total papers · 447 total citations
38 papers, 296 citations indexed

About

Yiqun Dong is a scholar working on Aerospace Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yiqun Dong has authored 38 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Aerospace Engineering, 10 papers in Control and Systems Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yiqun Dong's work include Guidance and Control Systems (12 papers), Aerospace and Aviation Technology (10 papers) and Robotic Path Planning Algorithms (8 papers). Yiqun Dong is often cited by papers focused on Guidance and Control Systems (12 papers), Aerospace and Aviation Technology (10 papers) and Robotic Path Planning Algorithms (8 papers). Yiqun Dong collaborates with scholars based in China, United States and Canada. Yiqun Dong's co-authors include Jianliang Ai, Youmin Zhang, Yunmei Zhao, Yushu Yu, Jun Tao, Wei Lin, Yunxiao Liu, Li Han, Jiquan Liu and Jiajun Hong and has published in prestigious journals such as IEEE Access, Neurocomputing and Materials & Design.

In The Last Decade

Yiqun Dong

31 papers receiving 287 citations

Author Peers

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

Author Last Decade Papers Cites
Yiqun Dong 143 82 81 61 32 38 296
Chuangchuang Sun 98 0.7× 74 0.9× 74 0.9× 37 0.6× 14 0.4× 34 291
Hao Liu 108 0.8× 38 0.5× 90 1.1× 23 0.4× 16 0.5× 39 273
Aleš Janota 87 0.6× 60 0.7× 87 1.1× 39 0.6× 48 1.5× 53 305
Mehmet Konar 129 0.9× 47 0.6× 91 1.1× 44 0.7× 65 2.0× 28 358
Artur Wolek 161 1.1× 66 0.8× 63 0.8× 63 1.0× 17 0.5× 38 309
Umberto Papa 172 1.2× 79 1.0× 81 1.0× 48 0.8× 48 1.5× 20 350
Jaemin Kim 67 0.5× 125 1.5× 52 0.6× 25 0.4× 27 0.8× 29 327
Dong Seop Han 81 0.6× 91 1.1× 59 0.7× 46 0.8× 48 1.5× 21 279
Yunzhu Li 83 0.6× 41 0.5× 50 0.6× 59 1.0× 113 3.5× 20 304
Dušan Nemec 97 0.7× 63 0.8× 70 0.9× 35 0.6× 44 1.4× 37 261

Countries citing papers authored by Yiqun Dong

Since Specialization
Citations

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

Fields of papers citing papers by Yiqun Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiqun Dong

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