Meng Yu

588 citations
45 papers · 424 · h-index 9

Impact in

Papers in

Meng Yu

40 papers receiving 403 citations

Peers

Meng Yu
Comparison fields: 5 of 93
  • Aerospace Engineering 165
  • Computer Vision and Pattern Recognition 120
  • Astronomy and Astrophysics 81
  • Computer Graphics and Computer-Aided Design 16
  • Control and Systems Engineering 54
Replace Andreas Lehner with:
Andreas Lehner Germany
Simone Morosi Italy
Lei Feng China
Qiyi He China
Jinlong Li China
Zhibin Zhang China
Ankur Datta United States
Hrvoje Džapo Croatia
Meng Yu relative to Andreas Lehner Germany Andreas Lehner's profile →
Citations per field
00.5×8.3×
Andreas Lehner · 1×
Citations per year

Countries citing papers authored by Meng Yu

Since Specialization
Citations

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

Fields of papers citing papers by Meng Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Meng Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Meng Yu Line = papers co-authored together Meng Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021123
2 202082
3 201359
4 200416
5 201714
6 201510
7 201110
8 20119
9 20188
10 20208
11 20188
12 20217
13 20196
14 20255
15 20225
16 20185
17 20244
18 20254
19 20104
20 20183

About Meng Yu

Meng Yu is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Astronomy and Astrophysics, Signal Processing and Computational Mechanics, having authored 45 papers that have together received 424 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (10 papers), Advanced Image and Video Retrieval Techniques (8 papers), Space Satellite Systems and Control (6 papers), Speech and Audio Processing (6 papers), Advanced Adaptive Filtering Techniques (5 papers), Blind Source Separation Techniques (5 papers), Astro and Planetary Science (5 papers) and Robotic Path Planning Algorithms (4 papers). The work is most often cited by research in Aerospace Engineering (165 citations), Computer Vision and Pattern Recognition (120 citations), Astronomy and Astrophysics (81 citations), Computer Graphics and Computer-Aided Design (16 citations) and Control and Systems Engineering (54 citations). Meng Yu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Hutao Cui, Yang Tian, Wei‐Chiang Hong, Shuang Li, Yi‐Hsuan Yeh, Guo‐Feng Fan, Xiaolong Hao, Yuchen She, Renato Pajarola and Jack Xin. Their work appears in journals such as Aerospace Science and Technology, Acta Astronautica, Scientific Reports, Food Chemistry X and International Journal of Biological Macromolecules.

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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