Tian Song

1.2k total citations
100 papers, 826 citations indexed

About

Tian Song is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Tian Song has authored 100 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Computer Vision and Pattern Recognition, 63 papers in Signal Processing and 10 papers in Artificial Intelligence. Recurrent topics in Tian Song's work include Video Coding and Compression Technologies (59 papers), Image and Video Quality Assessment (38 papers) and Advanced Vision and Imaging (37 papers). Tian Song is often cited by papers focused on Video Coding and Compression Technologies (59 papers), Image and Video Quality Assessment (38 papers) and Advanced Vision and Imaging (37 papers). Tian Song collaborates with scholars based in Japan, China and Canada. Tian Song's co-authors include Xiantao Jiang, F. Richard Yu, Victor C. M. Leung, Takashi Shimamoto, Takao Onoye, Xiantao Jiang, Wenzhong Shi, Daqi Zhu, Yanxing Song and Eric Lader and has published in prestigious journals such as Scientific Reports, IEEE Communications Surveys & Tutorials and IEEE Access.

In The Last Decade

Tian Song

83 papers receiving 807 citations

Peers

Tian Song
Comparison fields: 5 of 91
  • Computer Vision and Pattern Recognition 435
  • Signal Processing 321
  • Computer Networks and Communications 197
  • Electrical and Electronic Engineering 139
  • Information Systems 105
Replace Tianxiao Zhang with:
Tianxiao Zhang United States
Minoru Kuribayashi Japan
Ashraf Afifi Saudi Arabia
Vivekananda Bhat K India
Marc Sebban France
Manu Bansal India
Ritesh Aggarwal India
Fen Wang China
Barath Narayanan Narayanan United States
Saddam Hussain Khan Pakistan
Tianxiao Zhang United States View profile →
Citations per field, relative to Tian Song
Tian Song · 1×
Citations per year, relative to Tian Song
Tian Song · 1×

Countries citing papers authored by Tian Song

Since Specialization
Citations

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

Fields of papers citing papers by Tian Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tian Song

This figure shows the co-authorship network connecting the top 25 collaborators of Tian Song. A scholar is included among the top collaborators of Tian Song 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 Tian Song. Tian Song 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
# Work Indexed citations
1 2
2 3
3 0
4 1
5 0
6 5
7 2
8 63
9 124
10 65
11 63
12 18
13 2
14 17
15
Multifocus Image Fusion by the Sum of Local Variance Energy.
2
16 88
17
Efficient Prediction Motion Vector Candidate Selection Algorithm for HEVC
1
18
COMPLEXITY REDUCTION ALGORITHM FOR HIERARCHICAL B-PICTURE OF H.264/SVC
4
19
Improvement of Motion Estimation with Modified Search Center and Search Range for H.264/SVC
2
20
An Efficient Architecture for Spiral-Type Motion Estimation for H.264/AVC
2

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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