Rui Ai

956 citations
23 papers · 572 · h-index 12

Impact in

Papers in

Rui Ai

23 papers receiving 554 citations

Peers

Rui Ai
Comparison fields: 5 of 85
  • Automotive Engineering 156
  • Computer Vision and Pattern Recognition 254
  • Geology 65
  • Environmental Engineering 105
  • Aerospace Engineering 162
Replace Ke Sun with:
Ke Sun United States
Shrihari Vasudevan Australia
Dmitry Sokolov France
Xia Yuan China
Byung-Ryong Lee South Korea
Yukang Shi China
Vitor Guizilini Australia
Maryam Tayefeh Mahmoudi Iran
Chiyu Dong United States
Rui Ai relative to Ke Sun United States Ke Sun's profile →
Citations per field
00.5×3.7×
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 2022113
2 2019100
3 201681
4 202257
5 202340
6 202431
7 201623
8 202316
9 202415
10 202414
11 202313
12 201612
13 20239
14 20248
15 20258
16 20257
17 20227
18 20246
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 572 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), Advanced Vision and Imaging (4 papers), Remote Sensing and LiDAR Applications (4 papers), Advanced Neural Network Applications (3 papers), 3D Surveying and Cultural Heritage (3 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Automotive Engineering (156 citations), Computer Vision and Pattern Recognition (254 citations), Geology (65 citations), Environmental Engineering (105 citations) and Aerospace Engineering (162 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, Junyi Ma, Jun Zhang, Hua Li, Fei Han, Lixia Chen and Yanli Wu. Their work appears in journals such as IEEE Transactions on Intelligent Vehicles, Biochemical and Biophysical Research Communications, IEEE Transactions on Intelligent Transportation Systems, Environmental Sciences Europe and IEEE Journal of Radio Frequency Identification.

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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