Yanting Pei

547 citations
9 papers · 308 · h-index 6

Impact in

    • Advanced Neural Network Applications
    • Advanced Image Processing Techniques
    • Image Enhancement Techniques
    • Advanced Image and Video Retrieval Techniques
    • Image and Signal Denoising Methods
    • Video Surveillance and Tracking Methods
    • Human Pose and Action Recognition
    • Advanced Image Fusion Techniques

Papers in

Yanting Pei

8 papers receiving 302 citations

Peers

Yanting Pei
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 220
  • Media Technology 59
  • Industrial and Manufacturing Engineering 19
  • Artificial Intelligence 59
  • Geology 10
Replace Lluís Castrejón with:
Lluís Castrejón Canada
Chenxin Tao China
Md Amirul Islam Canada
Jia Xue United States
M. Radha India
Nasim Souly United States
Bert De Brabandere Belgium
Zonghao Guo China
Shichao Kan China
Yanting Pei relative to Lluís Castrejón Canada Lluís Castrejón's profile →
Citations per field
00.5×1.5×1.9×
Lluís Castrejón · 1×
Citations per year

Countries citing papers authored by Yanting Pei

Since Specialization
Citations

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

Fields of papers citing papers by Yanting Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Yanting Pei, 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 Yanting Pei Line = papers co-authored together Yanting Pei links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2019164
2 201943
3 201933
4 202225
5 202020
6 202018
7 20204
8 20191
9 20240

About Yanting Pei

Yanting Pei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Ocean Engineering, Media Technology and Human-Computer Interaction, having authored 9 papers that have together received 308 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (4 papers), Image Enhancement Techniques (3 papers), Video Surveillance and Tracking Methods (2 papers), Image and Signal Denoising Methods (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Evacuation and Crowd Dynamics (1 paper), Hand Gesture Recognition Systems (1 paper) and Image Processing Techniques and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (220 citations), Media Technology (59 citations), Industrial and Manufacturing Engineering (19 citations), Artificial Intelligence (59 citations) and Geology (10 citations). Yanting Pei has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yaping Huang, Xingyuan Zhang, Song Wang, Qi Zou, Dazhou Guo, Hongkai Yu, Kang Zheng, Yuhang Lu, Runsheng Zhang and Hongwei Zhao. Their work appears in journals such as Pattern Recognition Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Visual Communication and Image Representation, IEEE Transactions on Image Processing and IEEE Transactions on Circuits and Systems for Video Technology.

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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