Dong Tian
- Computer Vision and Pattern Recognition top 0.5%
- Signal Processing top 1%
- Computational Mechanics top 2%
- Computer Graphics and Computer-Aided Design top 0.5%
- Environmental Engineering top 5%
- Co-authors
- Anthony VetroPoLin LaiRobert CohenChen FengCristina GomilaAntonio OrtegaN.D. GeorganasJiahao Pang
- Topics
- Advanced Vision and Imaging (40 papers)Video Coding and Compression Technologies (27 papers)Advanced Image Processing Techniques (17 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionSignal Processing
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Image ProcessingIEEE Transactions on Signal Processing
- Partner nations
- United StatesChinaJapan
In The Last Decade
Dong Tian
69 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 1.2k
- Signal Processing 605
- Computational Mechanics 494
- Computer Graphics and Computer-Aided Design 362
- Environmental Engineering 209
Countries citing papers authored by Dong Tian
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 48 | |
| 5 | 21 | |
| 6 | 30 | |
| 7 | 6 | |
| 8 | 17 | |
| 9 | A Text Watermarking Algorithm based on Hidden Object. | 1 |
| 10 | 5 | |
| 11 | Geometric distortion metrics for point cloud compressionbreakdown → | 285 |
| 12 | 9 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 45 | |
| 16 | 6 | |
| 17 | 8 | |
| 18 | 53 | |
| 19 | 1 | |
| 20 | 4 |
About Dong Tian
Dong Tian is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 72 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (40 papers), Video Coding and Compression Technologies (27 papers) and Advanced Image Processing Techniques (17 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (362 citations), Computer Vision and Pattern Recognition (1.2k citations) and Signal Processing (605 citations). Dong Tian has collaborated with scholars based in United States, China and Japan. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.
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.