Huawei Tian

868 total citations
31 papers, 587 citations indexed

About

Huawei Tian is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Law. According to data from OpenAlex, Huawei Tian has authored 31 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 9 papers in Media Technology and 3 papers in Law. Recurrent topics in Huawei Tian's work include Advanced Steganography and Watermarking Techniques (16 papers), Digital Media Forensic Detection (13 papers) and Image Processing Techniques and Applications (5 papers). Huawei Tian is often cited by papers focused on Advanced Steganography and Watermarking Techniques (16 papers), Digital Media Forensic Detection (13 papers) and Image Processing Techniques and Applications (5 papers). Huawei Tian collaborates with scholars based in China, Singapore and United States. Huawei Tian's co-authors include Gang Cao, Yao Zhao, Rongrong Ni, Lifang Yu, Xianglin Huang, Yongbin Wang, Ruicong Zhi, Bo Ou, Zheng Qin and Xuelong Li and has published in prestigious journals such as IEEE Transactions on Image Processing, Optics Express and IEEE Access.

In The Last Decade

Huawei Tian

27 papers receiving 556 citations

Peers

Huawei Tian
Comparison fields: 5 of 69
  • Computer Vision and Pattern Recognition 533
  • Media Technology 120
  • Law 52
  • Artificial Intelligence 42
  • Signal Processing 23
Replace Sanjay B. Dhok with:
Sanjay B. Dhok India
E. S. Gopi India
Shahrokh Ghaemmaghami Iran
Hang Wang China
Sujoy Paul United States
Douglas R. Heisterkamp United States
Kazuki Nakashima Japan
Haifeng Zhao China
R. Kayalvizhi India
Chih‐Yuan Lien Taiwan
Sanjay B. Dhok India View profile →
Citations per field, relative to Huawei Tian
Huawei Tian · 1×
Citations per year, relative to Huawei Tian
Huawei Tian · 1×

Countries citing papers authored by Huawei Tian

Since Specialization
Citations

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

Fields of papers citing papers by Huawei Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huawei Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Huawei Tian. A scholar is included among the top collaborators of Huawei 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 Huawei Tian. Huawei Tian 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 0
2 1
3 29
4 6
5 4
6 2
7 0
8 31
9 14
10 24
11 1
12 87
13 11
14
バレル歪に対する耐性モバイルビデオのロバストな電子透かし【Powered by NICT】
2
15 16
16 5
17 31
18 114
19 6
20 9

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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