Dong Tian

118 total papers · 4.5k total citations
72 papers, 1.7k citations indexed

About

Dong Tian is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Dong Tian has authored 72 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Computer Vision and Pattern Recognition, 28 papers in Signal Processing and 13 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Dong Tian's work include Advanced Vision and Imaging (40 papers), Video Coding and Compression Technologies (27 papers) and Advanced Image Processing Techniques (17 papers). Dong Tian is often cited by papers focused on Advanced Vision and Imaging (40 papers), Video Coding and Compression Technologies (27 papers) and Advanced Image Processing Techniques (17 papers). Dong Tian collaborates with scholars based in United States, China and Japan. Dong Tian's co-authors include Anthony Vetro, PoLin Lai, Robert Cohen, Chen Feng, Cristina Gomila, Antonio Ortega, N.D. Georganas, Jiahao Pang, Siheng Chen and Chang Wen Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Dong Tian

69 papers receiving 1.6k citations

Hit Papers

Geometric distortion metr... 2017 2026 2020 2023 2017 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Dong Tian 1.2k 605 484 358 205 72 1.7k
Madhukar Budagavi 1.9k 1.5× 1.3k 2.1× 400 0.8× 354 1.0× 101 0.5× 50 2.2k
A. Tabatabai 1.5k 1.2× 470 0.8× 634 1.3× 482 1.3× 170 0.8× 30 2.1k
Catarina Brites 1.3k 1.1× 333 0.6× 498 1.0× 171 0.5× 108 0.5× 64 1.9k
Benjamín Bustos 1.4k 1.1× 294 0.5× 719 1.5× 196 0.5× 97 0.5× 88 1.8k
Alexis M. Tourapis 1.8k 1.4× 1.3k 2.1× 384 0.8× 362 1.0× 101 0.5× 51 2.0k
Sunghee Choi 862 0.7× 127 0.2× 872 1.8× 936 2.6× 174 0.8× 57 2.0k
Tomas Akenine‐Möller 1.7k 1.4× 201 0.3× 698 1.4× 1.6k 4.6× 102 0.5× 96 2.3k
Luís A. da Silva Cruz 1.2k 1.0× 869 1.4× 159 0.3× 153 0.4× 55 0.3× 121 1.6k
Jihad El‐Sana 1.5k 1.2× 89 0.1× 516 1.1× 835 2.3× 263 1.3× 100 2.2k
Raouf Hamzaoui 1.0k 0.8× 483 0.8× 189 0.4× 106 0.3× 89 0.4× 108 1.7k

Countries citing papers authored by Dong Tian

Since Specialization
Citations

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

Fields of papers citing papers by Dong Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Tian. A scholar is included among the top collaborators of Dong Tian 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 Dong Tian. Dong Tian 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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