Tian Song

175 total papers · 1.2k total citations
99 papers, 810 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 99 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Computer Vision and Pattern Recognition, 62 papers in Signal Processing and 10 papers in Artificial Intelligence. Recurrent topics in Tian Song's work include Video Coding and Compression Technologies (58 papers), Image and Video Quality Assessment (37 papers) and Advanced Vision and Imaging (36 papers). Tian Song is often cited by papers focused on Video Coding and Compression Technologies (58 papers), Image and Video Quality Assessment (37 papers) and Advanced Vision and Imaging (36 papers). Tian Song collaborates with scholars based in Japan, China and Taiwan. 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 Jeroen Maertzdorf and has published in prestigious journals such as Scientific Reports, IEEE Communications Surveys & Tutorials and IEEE Access.

In The Last Decade

Tian Song

82 papers receiving 792 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tian Song 427 316 194 138 105 99 810
Hezerul Abdul Karim 389 0.9× 155 0.5× 98 0.5× 72 0.5× 67 0.6× 109 832
Sushil Kumar 245 0.6× 93 0.3× 66 0.3× 77 0.6× 50 0.5× 137 991
Minoru Kuribayashi 456 1.1× 90 0.3× 148 0.8× 130 0.9× 170 1.6× 148 840
Manu Bansal 98 0.2× 88 0.3× 444 2.3× 345 2.5× 41 0.4× 61 873
Marc Sebban 202 0.5× 63 0.2× 42 0.2× 35 0.3× 98 0.9× 55 758
Samir Elmougy 228 0.5× 67 0.2× 218 1.1× 90 0.7× 146 1.4× 70 907
Dongxin Liu 203 0.5× 59 0.2× 154 0.8× 118 0.9× 43 0.4× 76 841
M. Dehghan 206 0.5× 34 0.1× 214 1.1× 122 0.9× 40 0.4× 70 983
Muhammad Asif Khan 213 0.5× 95 0.3× 303 1.6× 179 1.3× 137 1.3× 86 959
Vivekananda Bhat K 366 0.9× 155 0.5× 194 1.0× 39 0.3× 174 1.7× 27 736

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

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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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