Maosheng Ye

1.0k total citations
43 papers, 679 citations indexed

About

Maosheng Ye is a scholar working on Environmental Engineering, Computer Vision and Pattern Recognition and Automotive Engineering. According to data from OpenAlex, Maosheng Ye has authored 43 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Environmental Engineering, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Automotive Engineering. Recurrent topics in Maosheng Ye's work include Remote Sensing and LiDAR Applications (6 papers), Autonomous Vehicle Technology and Safety (4 papers) and Carbon Nanotubes in Composites (3 papers). Maosheng Ye is often cited by papers focused on Remote Sensing and LiDAR Applications (6 papers), Autonomous Vehicle Technology and Safety (4 papers) and Carbon Nanotubes in Composites (3 papers). Maosheng Ye collaborates with scholars based in China, Hong Kong and United States. Maosheng Ye's co-authors include Tongyi Cao, Shuangjie Xu, Qifeng Chen, Yi‐Ming Wei, Lu Wang, Ke Wang, Xiaoping Wan, Lingxi Li, Mingming Gao and Long Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Environmental Science and Pollution Research.

In The Last Decade

Maosheng Ye

35 papers receiving 660 citations

Peers

Maosheng Ye
Comparison fields: 5 of 114
  • Computer Vision and Pattern Recognition 265
  • Aerospace Engineering 148
  • Automotive Engineering 134
  • Environmental Engineering 120
  • Computational Mechanics 83
Haomin Liu China
Azim Heydari Italy
Almudena Filgueira‐Vizoso Spain
Zhen Qian China
Hans Georg Beyer Germany
Pedram Roghanchi United States
Mark A. Mikofski United States
Tohid Erfani United Kingdom
Haomin Liu China View profile →
Citations per field, relative to Maosheng Ye
Maosheng Ye · 1×
Citations per year, relative to Maosheng Ye
Maosheng Ye · 1×

Countries citing papers authored by Maosheng Ye

Since Specialization
Citations

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

Fields of papers citing papers by Maosheng Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maosheng Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Maosheng Ye. A scholar is included among the top collaborators of Maosheng Ye 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 Maosheng Ye. Maosheng Ye 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 1
2 0
3 4
4 4
5 0
6 2
7 18
8 6
9 5
10 8
11 0
12 7
13 35
14 0
15 116
16 7
17 56
18 11
19 2
20 10

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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