Rui Ai

902 citations
23 papers · 530 · h-index 11

Impact in

Papers in

Rui Ai

23 papers receiving 510 citations

Peers

Rui Ai
Comparison fields: 5 of 88
  • Automotive Engineering 148
  • Computer Vision and Pattern Recognition 245
  • Geology 64
  • Environmental Engineering 102
  • Aerospace Engineering 152
Replace Ke Sun with:
Ke Sun United States
Shrihari Vasudevan Australia
Dmitry Sokolov France
Yukang Shi China
Su Pang United States
Vitor Guizilini Australia
Hiroshi Masuda Japan
Chiyu Dong United States
Fabian Poggenhans Germany
Rui Ai relative to Ke Sun United States Ke Sun's profile →
Citations per field
00.5×2.8×
Ke Sun · 1×
Citations per year

Countries citing papers authored by Rui Ai

Since Specialization
Citations

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

Fields of papers citing papers by Rui Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rui Ai, 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 Rui Ai Line = papers co-authored together Rui Ai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022106
2 201996
3 201680
4 202256
5 202333
6 202425
7 201623
8 202315
9 202413
10 201612
11 202312
12 202410
13 20238
14 20247
15 20226
16 20256
17 20255
18 20245
19 20225
20 20243

About Rui Ai

Rui Ai is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Automotive Engineering, Environmental Engineering and Geology, having authored 23 papers that have together received 530 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (8 papers), Autonomous Vehicle Technology and Safety (7 papers), Advanced Image and Video Retrieval Techniques (5 papers), Remote Sensing and LiDAR Applications (4 papers), Advanced Vision and Imaging (4 papers), 3D Surveying and Cultural Heritage (3 papers), Advanced Neural Network Applications (3 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Automotive Engineering (148 citations), Computer Vision and Pattern Recognition (245 citations), Geology (64 citations), Environmental Engineering (102 citations) and Aerospace Engineering (152 citations). Rui Ai has collaborated with scholars based in China, Finland and United States. Frequent co-authors include Jintao Xu, Xieyuanli Chen, Bei He, Yan Yang, Jun Zhang, Lixia Chen, Hua Li, Peng Zhang, Yanli Wu and Fei Han. Their work appears in journals such as IEEE Transactions on Intelligent Vehicles, Environmental Sciences Europe, IEEE Transactions on Intelligent Transportation Systems, Journal of Physics D Applied Physics and IEEE Transactions on Robotics.

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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