Yiming Cui

1.1k citations
22 papers · 755 · h-index 14

Impact in

    • Advanced Neural Network Applications
    • Advanced Image and Video Retrieval Techniques
    • Video Surveillance and Tracking Methods
    • Visual Attention and Saliency Detection
    • Multimodal Machine Learning Applications
    • Human Pose and Action Recognition

Papers in

Yiming Cui

21 papers receiving 743 citations

Peers

Yiming Cui
Comparison fields: 5 of 79
  • Computer Vision and Pattern Recognition 563
  • Media Technology 67
  • Geology 31
  • Artificial Intelligence 146
  • Aerospace Engineering 110
Replace Peiyun Hu with:
Peiyun Hu United States
François Rameau South Korea
Fatma Güney Türkiye
Yifan Zhao China
Kunyu Peng Germany
Jiaming Zhang Germany
Kan Wu China
Anton Konushin Russia
Wang Feng China
Yiming Cui relative to Peiyun Hu United States Peiyun Hu's profile →
Citations per field
00.5×2.7×
Peiyun Hu · 1×
Citations per year

Countries citing papers authored by Yiming Cui

Since Specialization
Citations

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

Fields of papers citing papers by Yiming Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021147
2 2021137
3 2021105
4 202073
5 202043
6 202242
7 202334
8 202130
9 202128
10 202222
11 202017
12 202317
13 202014
14 202313
15 202313
16 20236
17 20204
18 20234
19 20243
20 20232

About Yiming Cui

Yiming Cui is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Molecular Biology and Automotive Engineering, having authored 22 papers that have together received 755 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Video Surveillance and Tracking Methods (7 papers), Multimodal Machine Learning Applications (6 papers), Robotics and Sensor-Based Localization (5 papers), Autonomous Vehicle Technology and Safety (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Plant Micronutrient Interactions and Effects (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (563 citations), Media Technology (67 citations), Geology (31 citations), Artificial Intelligence (146 citations) and Aerospace Engineering (110 citations). Yiming Cui has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Dongfang Liu, Yingjie Chen, Liqi Yan, Zhiwen Cao, Jiyong Zhang, Baijian Yang, Bin Fan, Christos Mousas, Alina Zare and Hongmin Liu. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Neurocomputing, Plant Science, Journal of Materials Science and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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