Lin Qi

1.2k citations
116 papers · 821 indexed · h-index 12

Impact in

Papers in

Lin Qi

109 papers receiving 779 citations

Peers

Lin Qi
Comparison fields: 5 of 94
  • Computer Vision and Pattern Recognition 459
  • Signal Processing 148
  • Human-Computer Interaction 69
  • Applied Mathematics 130
  • Media Technology 71
Replace Hao He with:
Hao He United States
Daniel Pak-Kong Lun Hong Kong
Anoop Cherian United States
Sukhendu Das India
Carlos Gutiérrez Mexico
İlker Bayram Türkiye
Xiaogang Xu China
Masahiro Iwahashi Japan
Lütfiye Durak-Ata Türkiye
Lin Qi relative to Hao He United States Hao He's profile →
Citations per field
00.5×6.8×
Hao He · 1×
Citations per year

Countries citing papers authored by Lin Qi

Since Specialization
Citations

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

Fields of papers citing papers by Lin Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20241
3 20243
4 20234
5 20230
6 20213
7 202054
8 202017
9 201932
10 20196
11 20146
12
Selecting discriminative features with discriminative multiple canonical correlation analysis for multi-feature information fusion
20131
13
Human Emotion Recognition Using Fused 2D-Fractional Fourier Transform Features Based on CCA
20121
14
Strategies for Enhancing the Efficiency of Bioretention Swales and Basins for Urban Stormwater Management in Temperate Region
20111
15
A Novel Maximum Likelihood Channel Estimation for OFDM Systems
20091
16
Adaptive weighted average filtering algorithm based on medium value
20086
17
Binary Watermarking Based on Human Vision Properties in DCT Domain
20081
18
Parameters estimation of time-varying channel in OFDM system
20080
19
Chirp Typed Blind Watermarking Algorithm Based on Fractional Fourier Transform
20064
20 20030

About Lin Qi

Lin Qi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Human-Computer Interaction, Media Technology and Applied Mathematics, having authored 116 papers that have together received 821 indexed citations. Recurring topics across this work include Face and Expression Recognition (26 papers), Image and Signal Denoising Methods (24 papers), Human Pose and Action Recognition (22 papers), Mathematical Analysis and Transform Methods (18 papers), Gait Recognition and Analysis (14 papers), Blind Source Separation Techniques (12 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Hand Gesture Recognition Systems (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (459 citations), Signal Processing (148 citations), Human-Computer Interaction (69 citations), Applied Mathematics (130 citations) and Media Technology (71 citations). Lin Qi has collaborated with scholars based in China, Canada and Australia. Frequent co-authors include Ling Guan, Lei Gao, Yun Tie, Enqing Chen, Naimul Khan, Xin Guo, Deyin Liu, Xiaomin Mu, Zia Ullah and Shouyi Yang. Their work appears in journals such as Journal of Visual Communication and Image Representation, IEEE Geoscience and Remote Sensing Letters, IEEE Access, IEEE Transactions on Multimedia and IEEE Multimedia.

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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