Xuemeng Yang

439 total citations
23 papers, 249 citations indexed

About

Xuemeng Yang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Xuemeng Yang has authored 23 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 9 papers in Computational Mechanics and 8 papers in Aerospace Engineering. Recurrent topics in Xuemeng Yang's work include Robotics and Sensor-Based Localization (7 papers), 3D Shape Modeling and Analysis (6 papers) and Advanced Vision and Imaging (5 papers). Xuemeng Yang is often cited by papers focused on Robotics and Sensor-Based Localization (7 papers), 3D Shape Modeling and Analysis (6 papers) and Advanced Vision and Imaging (5 papers). Xuemeng Yang collaborates with scholars based in China, Sweden and Switzerland. Xuemeng Yang's co-authors include Yong Liu, Feng Wen, Wanlong Li, Xin Kong, Xiangrui Zhao, Mengmeng Wang, Tianxin Huang, Guangyao Zhai, Xianfang Zeng and Hao Zou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and IEEE Transactions on Image Processing.

In The Last Decade

Xuemeng Yang

20 papers receiving 243 citations

Peers

Xuemeng Yang
Comparison fields: 5 of 43
  • Computer Vision and Pattern Recognition 146
  • Aerospace Engineering 112
  • Computational Mechanics 73
  • Geology 68
  • Environmental Engineering 42
Replace Jiantao Gao with:
Jiantao Gao China
Anna Vorontsova United States
Tai Wang China
Sid Yingze Bao United States
Lue Fan China
Olivier Saurer Switzerland
Jean Lahoud United Arab Emirates
Yueh-Cheng Liu Taiwan
Jacopo Serafin Italy
Matteo Vaghi Italy
Jiantao Gao China View profile →
Citations per field, relative to Xuemeng Yang
Xuemeng Yang · 1×
Citations per year, relative to Xuemeng Yang
Xuemeng Yang · 1×

Countries citing papers authored by Xuemeng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xuemeng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuemeng Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xuemeng Yang. A scholar is included among the top collaborators of Xuemeng 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 Xuemeng Yang. Xuemeng Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 9
4 3
5 1
6 1
7 10
8 4
9 24
10 10
11 2
12 0
13 26
14 1
15 3
16 13
17 31
18 8
19 82
20 1

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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