Mengyuan Yan

26 total papers · 1.4k total citations
10 papers, 277 citations indexed

About

Mengyuan Yan is a scholar working on Computational Mechanics, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Mengyuan Yan has authored 10 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computational Mechanics, 3 papers in Artificial Intelligence and 3 papers in Aerospace Engineering. Recurrent topics in Mengyuan Yan's work include Reinforcement Learning in Robotics (2 papers), Fire dynamics and safety research (2 papers) and Image Processing Techniques and Applications (2 papers). Mengyuan Yan is often cited by papers focused on Reinforcement Learning in Robotics (2 papers), Fire dynamics and safety research (2 papers) and Image Processing Techniques and Applications (2 papers). Mengyuan Yan collaborates with scholars based in United States and China. Mengyuan Yan's co-authors include Jeannette Bohg, Xingyu Liu, Yilin Zhu, Ning Jin, Adrian Li, Mrinal Kalakrishnan, Peter Pástor, Gen Li, G. M. Faeth and Yuping Duan and has published in prestigious journals such as Combustion and Flame, Remote Sensing and IEEE Robotics and Automation Letters.

In The Last Decade

Mengyuan Yan

9 papers receiving 274 citations

Author Peers

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

Author Last Decade Papers Cites
Mengyuan Yan 168 112 82 58 50 10 277
Alexander Clegg 132 0.8× 130 1.2× 62 0.8× 33 0.6× 63 1.3× 11 254
Chavdar Papazov 186 1.1× 98 0.9× 43 0.5× 34 0.6× 113 2.3× 8 296
Thomas Mörwald 191 1.1× 93 0.8× 41 0.5× 32 0.6× 119 2.4× 14 285
Jiazhao Zhang 155 0.9× 43 0.4× 49 0.6× 29 0.5× 71 1.4× 14 286
J. D. Boissonnat 121 0.7× 81 0.7× 32 0.4× 43 0.7× 81 1.6× 8 238
Nate Koenig 144 0.9× 88 0.8× 31 0.4× 21 0.4× 56 1.1× 6 257
Anthony Francis 197 1.2× 70 0.6× 29 0.4× 27 0.5× 76 1.5× 7 318
Jiehong Lin 103 0.6× 87 0.8× 35 0.4× 27 0.5× 55 1.1× 7 193
Hansheng Chen 224 1.3× 64 0.6× 49 0.6× 17 0.3× 125 2.5× 11 306
Feixiang Lu 215 1.3× 44 0.4× 55 0.7× 14 0.2× 87 1.7× 20 328

Countries citing papers authored by Mengyuan Yan

Since Specialization
Citations

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

Fields of papers citing papers by Mengyuan Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengyuan Yan

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