Yun Tie

693 total citations
62 papers, 453 citations indexed

About

Yun Tie is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Yun Tie has authored 62 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Vision and Pattern Recognition, 12 papers in Signal Processing and 11 papers in Artificial Intelligence. Recurrent topics in Yun Tie's work include Face and Expression Recognition (24 papers), Face recognition and analysis (11 papers) and Advanced Image and Video Retrieval Techniques (11 papers). Yun Tie is often cited by papers focused on Face and Expression Recognition (24 papers), Face recognition and analysis (11 papers) and Advanced Image and Video Retrieval Techniques (11 papers). Yun Tie collaborates with scholars based in China, Canada and Australia. Yun Tie's co-authors include Ling Guan, Lin Qi, Cong Jin, Xin Guo, Yihong Gong, Fenghui Liu, Yong Bai, Xin Lv, Ling Guan and Ivan Lee and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Pattern Recognition.

In The Last Decade

Yun Tie

59 papers receiving 424 citations

Peers

Yun Tie
Comparison fields: 5 of 77
  • Computer Vision and Pattern Recognition 307
  • Signal Processing 102
  • Experimental and Cognitive Psychology 88
  • Artificial Intelligence 79
  • Cognitive Neuroscience 58
Alaa Eleyan Türkiye
Adıń Ramıŕez Rivera Brazil
Ioan Buciu Romania
Kazunori Kotani Japan
Seyed Mehdi Lajevardi Australia
Elisa Martínez-Marroquín Spain
Ziyu Wan China
Mohammed Beladgham Algeria
Konstantinos Rapantzikos Greece
Linlin Shen China
Alaa Eleyan Türkiye View profile →
Citations per field, relative to Yun Tie
Yun Tie · 1×
Citations per year, relative to Yun Tie
Yun Tie · 1×

Countries citing papers authored by Yun Tie

Since Specialization
Citations

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

Fields of papers citing papers by Yun Tie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Tie

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Tie. A scholar is included among the top collaborators of Yun Tie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yun Tie. Yun Tie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Title Journal Authors Indexed citations
1 ECA-SLAM: A Visual SLAM Utilizing Depth Features and Attention Mechanism Yun Tie et al. 0
2 Non-Uniform Motion Aggregation with Graph Convolutional Networks for Skeleton-Based Human Action Recognition Electronics Wei Hu, Yun Tie et al. 3
3 Video Background Music Recommendation Based on Multi-Level Fusion Features Xiaobing Li, Yun Tie et al. 1
4 Wireless Communications and Mobile Computing Multitrack Music Generation Network Based on Music Rules Wireless Communications and Mobile Computing Yun Tie, Cong Jin et al. 0
5 Res-trans networks for lung nodule classification International Journal of Computer Assisted Radiology and Surgery Fenghui Liu, Yun Tie et al. 26
6 Local Feature Descriptors with Deep Hypersphere Learning Song Wang, Xin Guo et al. 0
7 A Style-Specific Music Composition Neural Network Neural Processing Letters Cong Jin, Yun Tie et al. 28
8 A Transformer-Based Model for Multi-Track Music Generation RePEc: Research Papers in Economics Cong Jin, Yun Tie et al. 10
9 Weighted hybrid fusion with rank consistency Pattern Recognition Letters Xin Guo, Yun Tie et al. 4
10 Hyperspectral Image Classification Using Kernel Fused Representation via a Spatial-Spectral Composite Kernel With Ideal Regularization IEEE Geoscience and Remote Sensing Letters Lin Qi, Yun Tie et al. 6
11 The Cascade Improved Model Based Deep Forest for Small-scale Datasets Classification Yimin Fan, Lin Qi et al. 5
12 Recurrent Neural Network for MIDI Music Emotion Classification Wei Zhao, Yun Tie et al. 9
13 Facial Expression Recognition Based on Multiple Feature Fusion in Video Yun Tie, Lin Qi et al. 4
14 Deep ViDAR:CNN based 360°panoramic video system for outdoor robot visual navigation and SLAM Yun Tie, Lin Qi et al. 2
15 Real-World Field Snail Detection and Tracking Zhiyan Wang, Ivan Lee et al. 5
16 Identifying facial expression using adaptive sub-layer compensation based feature extraction Journal of Visual Communication and Image Representation Xin Guo, Yun Tie et al. 6
17 A Novel Semi-Supervised Dimensionality Reduction Framework for Multi-Manifold Learning IEEE Multimedia Xin Guo, Yun Tie et al. 1
18 Advances in Multimedia Information Processing - PCM 2016 Lecture notes in computer science Yun Tie, Yihong Gong 3
19 Multimodal emotion recognition (MER) system Kevin Tang, Yun Tie et al. 4
20 Multimodal information fusion for selected multimedia applications Ling Guan, Yongjin Wang et al. 23

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026