Dan Tu

711 citations
37 papers · 502 · h-index 8

Impact in

    • Image Processing Techniques and Applications
    • Digital Media Forensic Detection
    • Advanced Steganography and Watermarking Techniques
    • Human Pose and Action Recognition
    • Generative Adversarial Networks and Image Synthesis

Papers in

    • Advanced Image and Video Retrieval Techniques 7
    • Image Retrieval and Classification Techniques 5
    • Digital Media Forensic Detection 5
    • Advanced Steganography and Watermarking Techniques 4
    • Medical Image Segmentation Techniques 3
    • Image Processing Techniques and Applications 3
    • Advanced Image Fusion Techniques 3

Dan Tu

35 papers receiving 465 citations

Peers

Dan Tu
Comparison fields: 5 of 67
  • Media Technology 188
  • Computer Vision and Pattern Recognition 438
  • Biophysics 82
  • Law 57
  • Human-Computer Interaction 21
Replace Hui Zeng with:
Hui Zeng China
Anjie Peng China
Jen‐Chun Lee Taiwan
Abhishek Thakur India
Ahmet Emir Dırık Türkiye
Belhassen Bayar United States
Aravind K. Mikkilineni United States
R. V. Dharaskar India
Dongdong Fu United States
Rajesh Rohilla India
Dan Tu relative to Hui Zeng China Hui Zeng's profile →
Citations per field
00.5×3.7×
Hui Zeng · 1×
Citations per year

Countries citing papers authored by Dan Tu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dan Tu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dan Tu Line = papers co-authored together Dan Tu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007221
2 201547
3 200845
4 201628
5 201428
6 201623
7 201423
8 20168
9 20156
10 20136
11 20146
12 20165
13 20095
14
Survey on man-made object detection in visible imagery
20104
15 20234
16 20104
17 20154
18 20144
19 20243
20
Application of texture synthesis in old photograph completion
20073

About Dan Tu

Dan Tu is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 37 papers that have together received 502 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Image Retrieval and Classification Techniques (5 papers), Digital Media Forensic Detection (5 papers), Advanced Steganography and Watermarking Techniques (4 papers), Image Processing Techniques and Applications (3 papers), Gait Recognition and Analysis (3 papers), Advanced Image Fusion Techniques (3 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Media Technology (188 citations), Computer Vision and Pattern Recognition (438 citations), Biophysics (82 citations), Law (57 citations) and Human-Computer Interaction (21 citations). Dan Tu has collaborated with scholars based in China. Frequent co-authors include Guohui Li, Shaojie Sun, Qiong Wu, Jun Lei, Qiang Guo, Guohui Li, Guohui Li, Yazhou Yang, Fenglei Wang and Wei Zhu. Their work appears in journals such as Frontiers in Medicine, Neural Computing and Applications, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Neurocomputing and IET Computer Vision.

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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