H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 33 Citations 7,153 252 World Ranking 6656 National Ranking 50

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • Algorithm

Ja-Ling Wu mostly deals with Artificial intelligence, Computer vision, Digital watermarking, Data compression and Image quality. His works in Image processing, Feature extraction, Image compression, Pixel and Edge detection are all subjects of inquiry into Computer vision. His studies examine the connections between Image compression and genetics, as well as such issues in JPEG, with regards to Lossy compression, Image resolution, Color Cell Compression and Binary image.

The various areas that Ja-Ling Wu examines in his Digital watermarking study include Watermark, Embedding and Digital image. His biological study spans a wide range of topics, including Transform coding and Discrete cosine transform. His studies in Discrete cosine transform integrate themes in fields like Block code and Linear code.

His most cited work include:

  • Hidden digital watermarks in images (774 citations)
  • Multiresolution watermarking for digital images (228 citations)
  • DCT-based watermarking for video (162 citations)

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

His primary scientific interests are in Artificial intelligence, Computer vision, Algorithm, Multimedia and Decoding methods. Artificial intelligence connects with themes related to Pattern recognition in his study. His is doing research in Image processing, Digital watermarking, Data compression, Watermark and Image quality, both of which are found in Computer vision.

The study incorporates disciplines such as Embedding and Robustness in addition to Digital watermarking. The concepts of his Algorithm study are interwoven with issues in Discrete mathematics, Discrete cosine transform and Signal processing. His work carried out in the field of Decoding methods brings together such families of science as Coding, Error detection and correction and Theoretical computer science.

He most often published in these fields:

  • Artificial intelligence (33.82%)
  • Computer vision (29.77%)
  • Algorithm (22.54%)

What were the highlights of his more recent work (between 2009-2020)?

  • Artificial intelligence (33.82%)
  • Computer vision (29.77%)
  • Multimedia (12.72%)

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

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Multimedia, Coding and Decoding methods. He regularly links together related areas like Basis in his Artificial intelligence studies. His research ties Computer graphics and Computer vision together.

His Coding research incorporates elements of Algorithm, Compressed sensing, Speech recognition and Belief propagation. His studies deal with areas such as Appearance based, Codec, Signal reconstruction and Parallel computing as well as Decoding methods. Ja-Ling Wu interconnects Image quality, Image compression, View synthesis, Stereoscopy and Depth perception in the investigation of issues within Data compression.

Between 2009 and 2020, his most popular works were:

  • Quality Assessment of Stereoscopic 3D Image Compression by Binocular Integration Behaviors (158 citations)
  • A Digital Blind Watermarking for Depth-Image-Based Rendering 3D Images (100 citations)
  • Real-Time Human Movement Retrieval and Assessment With Kinect Sensor (55 citations)

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

  • Artificial intelligence
  • Operating system
  • Algorithm

Ja-Ling Wu focuses on Computer vision, Artificial intelligence, Multimedia, Decoding methods and Coding. His research brings together the fields of Stereo display and Computer vision. Ja-Ling Wu undertakes multidisciplinary studies into Artificial intelligence and Movement in his work.

Ja-Ling Wu works mostly in the field of Coding, limiting it down to topics relating to Codec and, in certain cases, Computer engineering, Deblocking filter and Real-time computing. His Rendering study incorporates themes from Image processing and Embedding. His Depth map research is multidisciplinary, relying on both Watermark, Information hiding, Transform coding, UVW mapping and Algorithm.

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.

Best Publications

Hidden digital watermarks in images

Chiou-Ting Hsu;Ja-Ling Wu.
IEEE Transactions on Image Processing (1999)

1356 Citations

Multiresolution watermarking for digital images

Chion-Ting Hsu;Ja-Ling Wu.
IEEE Transactions on Circuits and Systems Ii: Analog and Digital Signal Processing (1998)

437 Citations

DCT-based watermarking for video

Chiou-Ting Hsu;Ja-Ling Wu.
IEEE Transactions on Consumer Electronics (1998)

308 Citations

Hidden signatures in images

Chiou-Ting Hsu;Ja-Ling Wu.
international conference on image processing (1996)

294 Citations

Quality Assessment of Stereoscopic 3D Image Compression by Binocular Integration Behaviors

Yu-Hsun Lin;Ja-Ling Wu.
IEEE Transactions on Image Processing (2014)

196 Citations

Real-time software-based video coder for multimedia communication systems

Ho-Chao Huang;Jau-Hsiung Huang;Ja-Ling Wu.
Multimedia Systems (1993)

193 Citations

RoleNet: Movie Analysis from the Perspective of Social Networks

Chung-Yi Weng;Wei-Ta Chu;Ja-Ling Wu.
IEEE Transactions on Multimedia (2009)

186 Citations

Range data acquisition using color structured lighting and stereo vision

Chu-Song Chen;Yi-Ping Hung;Chiann-Chu Chiang;Ja-Ling Wu.
Image and Vision Computing (1997)

166 Citations

An adaptive edge detection based colorization algorithm and its applications

Yi-Chin Huang;Yi-Shin Tung;Jun-Cheng Chen;Sung-Wen Wang.
acm multimedia (2005)

164 Citations

A Digital Blind Watermarking for Depth-Image-Based Rendering 3D Images

Yu-Hsun Lin;Ja-Ling Wu.
IEEE Transactions on Broadcasting (2011)

154 Citations

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Best Scientists Citing Ja-Ling Wu

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Shandong University of Science and Technology

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Wen Gao

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Peking University

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Tao Mei

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Nanyang Technological University

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Jerome R. Bellegarda

Jerome R. Bellegarda

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Qingming Huang

Chinese Academy of Sciences

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Shao-Yi Chien

Shao-Yi Chien

National Taiwan University

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Jiebo Luo

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University of Rochester

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Jason J. Jung

Jason J. Jung

Chung-Ang University

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Ingemar J. Cox

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Alessandro Vinciarelli

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Changsheng Xu

Changsheng Xu

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Hong-Yuan Mark Liao

Hong-Yuan Mark Liao

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