Dan Tu

718 citations
38 papers · 506 · 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
    • Digital Media Forensic Detection 5
    • Image Retrieval and Classification Techniques 5
    • Advanced Steganography and Watermarking Techniques 4
    • Human Pose and Action Recognition 3
    • Handwritten Text Recognition Techniques 3
    • Advanced Image Fusion Techniques 3

Dan Tu

35 papers receiving 470 citations

Peers

Dan Tu
Comparison fields: 5 of 64
  • Media Technology 190
  • Computer Vision and Pattern Recognition 442
  • Biophysics 82
  • Law 57
  • Human-Computer Interaction 21
Replace Hui Zeng with:
Hui Zeng China
Jen‐Chun Lee Taiwan
Anjie Peng China
Bee Ee Khoo Malaysia
Ahmet Emir Dırık Türkiye
Belhassen Bayar United States
Aravind K. Mikkilineni United States
R. V. Dharaskar India
Dongdong Fu United States
Subrajeet Mohapatra India
Dan Tu relative to Hui Zeng China Hui Zeng's profile →
Citations per field
00.5×3.6×
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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007222
2 200847
3 201547
4 201628
5 201428
6 201624
7 201423
8 20168
9 20146
10 20156
11 20136
12 20165
13 20095
14
Survey on man-made object detection in visible imagery
20104
15 20154
16 20234
17 20104
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 38 papers that have together received 506 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Digital Media Forensic Detection (5 papers), Image Retrieval and Classification Techniques (5 papers), Advanced Steganography and Watermarking Techniques (4 papers), Advanced Image Fusion Techniques (3 papers), Human Pose and Action Recognition (3 papers), Handwritten Text Recognition Techniques (3 papers) and Vehicular Ad Hoc Networks (VANETs) (3 papers). The work is most often cited by research in Media Technology (190 citations), Computer Vision and Pattern Recognition (442 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, Qiong Wu, Shaojie Sun, Jun Lei, Qiang Guo, Guohui Li, Guohui Li, Yazhou Yang, Fenglei Wang and Wei Zhu. Their work appears in journals such as Neurocomputing, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Frontiers in Medicine, Neural Computing and Applications and ACTA AUTOMATICA SINICA.

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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