H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 60 Citations 12,738 207 World Ranking 1578 National Ranking 877

Research.com Recognitions

Awards & Achievements

2019 - Fellow, National Academy of Inventors

2019 - IEEE Fellow For contribution to control and automation for complex systems

2017 - Fellow of the American Association for the Advancement of Science (AAAS)

2011 - IEEE Fellow For contributions to multimedia security and forensics

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Computer vision

The scientist’s investigation covers issues in Digital watermarking, Artificial intelligence, Computer vision, Multimedia and Image processing. His Digital watermarking study incorporates themes from Information hiding, Embedding, Fingerprint recognition, Color image and Robustness. Min Wu interconnects Binary image, Data mining and Theoretical computer science in the investigation of issues within Information hiding.

In general Artificial intelligence study, his work on Wavelet transform, Image sensor, Data compression and Transform coding often relates to the realm of Phase correlation, thereby connecting several areas of interest. His studies in Computer vision integrate themes in fields like Spectral density estimation and Multidimensional signal processing. The study incorporates disciplines such as Keying and Cryptography in addition to Multimedia.

His most cited work include:

  • Rotation, scale, and translation resilient watermarking for images (619 citations)
  • Robust and secure image hashing (466 citations)
  • Anti-collusion fingerprinting for multimedia (350 citations)

What are the main themes of his work throughout his whole career to date?

Min Wu mostly deals with Artificial intelligence, Computer vision, Digital watermarking, Multimedia and Embedding. His research investigates the connection between Artificial intelligence and topics such as Signal that intersect with issues in Real-time computing. His studies link Interpolation with Computer vision.

Min Wu has included themes like Watermark, Theoretical computer science, Computer security, Algorithm and Robustness in his Digital watermarking study. Min Wu combines Multimedia and Collusion in his studies. The Information hiding study combines topics in areas such as Binary image and Authentication.

He most often published in these fields:

  • Artificial intelligence (36.57%)
  • Computer vision (24.63%)
  • Digital watermarking (17.54%)

What were the highlights of his more recent work (between 2016-2021)?

  • Artificial intelligence (36.57%)
  • Computer vision (24.63%)
  • Pattern recognition (10.82%)

In recent papers he was focusing on the following fields of study:

Artificial intelligence, Computer vision, Pattern recognition, Real-time computing and Photoplethysmogram are his primary areas of study. His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning and Signal. His work in Computer vision is not limited to one particular discipline; it also encompasses Field.

His work in Pattern recognition addresses issues such as Waveform, which are connected to fields such as Discrete cosine transform and Preprocessor. His Real-time computing research is multidisciplinary, relying on both Wireless, Channel state information, Authentication and Home automation. In most of his Steganography studies, his work intersects topics such as Multimedia.

Between 2016 and 2021, his most popular works were:

  • SMARS: Sleep Monitoring via Ambient Radio Signals (20 citations)
  • Counterfeit Detection Based on Unclonable Feature of Paper Using Mobile Camera (13 citations)
  • Factors Affecting ENF Capture in Audio (12 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Statistics
  • Computer vision

His scientific interests lie mostly in Artificial intelligence, Computer vision, Real-time computing, Wireless and Transmitter. His biological study spans a wide range of topics, including Photoplethysmogram and Flicker. Min Wu combines subjects such as Waveform, Pattern recognition and Discrete cosine transform with his study of Photoplethysmogram.

His study ties his expertise on Computer graphics together with the subject of Computer vision. His studies deal with areas such as Radio propagation, Wireless sensor network and Robustness as well as Wireless. His Transmitter research is multidisciplinary, incorporating perspectives in Communication channel, Multipath channels and Wireless signal.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Rotation, scale, and translation resilient watermarking for images

C.-Y. Lin;M. Wu;J.A. Bloom;I.J. Cox.
IEEE Transactions on Image Processing (2001)

1169 Citations

Robust and secure image hashing

A. Swaminathan;Yinian Mao;Min Wu.
IEEE Transactions on Information Forensics and Security (2006)

661 Citations

Data hiding in binary image for authentication and annotation

Min Wu;Bede Liu.
IEEE Transactions on Multimedia (2004)

557 Citations

Anti-collusion fingerprinting for multimedia

W. Trappe;Min Wu;Z.J. Wang;K.J.R. Liu.
IEEE Transactions on Signal Processing (2003)

517 Citations

Watermarking for image authentication

Min Wu;Bede Liu.
international conference on image processing (1998)

462 Citations

Information Forensics: An Overview of the First Decade

Matthew C. Stamm;Min Wu;K. J. Ray Liu.
IEEE Access (2013)

341 Citations

Digital image forensics via intrinsic fingerprints

A. Swaminathan;Min Wu;K.J.R. Liu.
IEEE Transactions on Information Forensics and Security (2008)

322 Citations

Data hiding in image and video .I. Fundamental issues and solutions

Min Wu;Bede Liu.
IEEE Transactions on Image Processing (2003)

306 Citations

Data hiding in digital binary image

Min Wu;E. Tang;B. Lin.
international conference on multimedia and expo (2000)

299 Citations

Collusion-resistant fingerprinting for multimedia

Min Wu;W. Trappe;Z.J. Wang;K.J.R. Liu.
IEEE Signal Processing Magazine (2004)

285 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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