D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 54 Citations 11,594 310 World Ranking 1411 National Ranking 640
Computer Science D-index 58 Citations 12,759 358 World Ranking 2404 National Ranking 1294

Research.com Recognitions

Awards & Achievements

2007 - IEEE Fellow For contributions to source and channel coding

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Algorithm
  • Statistics

Zixiang Xiong focuses on Algorithm, Decoding methods, Theoretical computer science, Wavelet transform and Artificial intelligence. Low-density parity-check code, Turbo code, Distributed source coding, Data compression and Concatenated error correction code are subfields of Algorithm in which his conducts study. His Decoding methods study combines topics in areas such as Upper and lower bounds, Scalable Video Coding and Multicast.

The Theoretical computer science study which covers Lossless compression that intersects with Lossy compression, Computer engineering and Wireless sensor network. His work is dedicated to discovering how Wavelet transform, Transform coding are connected with Image processing and other disciplines. His Artificial intelligence research includes themes of Sample size determination, Gaussian function, Covariance matrix, Computer vision and Pattern recognition.

His most cited work include:

  • Distributed source coding for sensor networks (719 citations)
  • Compression of binary sources with side information at the decoder using LDPC codes (621 citations)
  • Low bit-rate scalable video coding with 3-D set partitioning in hierarchical trees (3-D SPIHT) (520 citations)

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

His primary areas of investigation include Artificial intelligence, Algorithm, Computer vision, Decoding methods and Communication channel. He regularly links together related areas like Pattern recognition in his Artificial intelligence studies. Zixiang Xiong combines subjects such as Theoretical computer science and Coding with his study of Algorithm.

The study incorporates disciplines such as Dirty paper coding, Distributed source coding, Concatenated error correction code and Turbo code in addition to Theoretical computer science. His research in Decoding methods intersects with topics in Upper and lower bounds and Encoder. His Communication channel research includes elements of Wireless, Electronic engineering and Computer network.

He most often published in these fields:

  • Artificial intelligence (35.41%)
  • Algorithm (33.17%)
  • Computer vision (21.20%)

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

  • Artificial intelligence (35.41%)
  • Pattern recognition (16.46%)
  • Deep learning (4.74%)

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

His main research concerns Artificial intelligence, Pattern recognition, Deep learning, Computer vision and Face. His Pattern recognition research incorporates elements of Regularization and Robustness. His work focuses on many connections between Deep learning and other disciplines, such as Residual, that overlap with his field of interest in Pixel and Optimization problem.

His study in the field of Feature also crosses realms of Retinal lesion, Fundus photography, Fundus and High resolution. His study in the fields of Face hallucination under the domain of Face overlaps with other disciplines such as Consistency. In his research, Algorithm is intimately related to Transmission, which falls under the overarching field of Topology.

Between 2016 and 2021, his most popular works were:

  • Optimal Caching and Scheduling for Cache-Enabled D2D Communications (63 citations)
  • Separability and Compactness Network for Image Recognition and Superresolution (40 citations)
  • Robust Face Super-Resolution via Locality-Constrained Low-Rank Representation (28 citations)

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

  • Artificial intelligence
  • Statistics
  • Algorithm

The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Face, Computer vision and Deep learning. His Facial recognition system, Image resolution, Iterative reconstruction, Convolutional neural network and Segmentation investigations are all subjects of Artificial intelligence research. His research integrates issues of Image processing, Compact space and Metric in his study of Convolutional neural network.

His research ties Subspace topology and Pattern recognition together. His work carried out in the field of Computer vision brings together such families of science as Point and Detector. In his study, Reinforcement learning and Point cloud is strongly linked to Image, which falls under the umbrella field of Deep learning.

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

Distributed source coding for sensor networks

Zixiang Xiong;A.D. Liveris;S. Cheng.
IEEE Signal Processing Magazine (2004)

980 Citations

Compression of binary sources with side information at the decoder using LDPC codes

A.D. Liveris;Zixiang Xiong;C.N. Georghiades.
IEEE Communications Letters (2002)

845 Citations

Low bit-rate scalable video coding with 3-D set partitioning in hierarchical trees (3-D SPIHT)

Beong-Jo Kim;Zixiang Xiong;W.A. Pearlman.
IEEE Transactions on Circuits and Systems for Video Technology (2000)

835 Citations

Space-frequency quantization for wavelet image coding

Zixiang Xiong;K. Ramchandran;M.T. Orchard.
IEEE Transactions on Image Processing (1997)

651 Citations

A comparative study of DCT- and wavelet-based image coding

Zixiang Xiong;K. Ramchandran;M.T. Orchard;Ya-Qin Zhang.
IEEE Transactions on Circuits and Systems for Video Technology (1999)

381 Citations

Optimal number of features as a function of sample size for various classification rules

Jianping Hua;Zixiang Xiong;James Lowey;Edward Suh.
Bioinformatics (2005)

376 Citations

Multiresolution watermarking for images and video

Wenwu Zhu;Zixiang Xiong;Ya-Qin Zhang.
IEEE Transactions on Circuits and Systems for Video Technology (1999)

300 Citations

A DCT-based embedded image coder

Zixiang Xiong;O.G. Guleryuz;M.T. Orchard.
IEEE Signal Processing Letters (1996)

286 Citations

A deblocking algorithm for JPEG compressed images using overcomplete wavelet representations

Zixiang Xiong;M.T. Orchard;Ya-Qin Zhang.
IEEE Transactions on Circuits and Systems for Video Technology (1997)

285 Citations

Wavelet packet image coding using space-frequency quantization

Zixiang Xiong;K. Ramchandran;M.T. Orchard.
IEEE Transactions on Image Processing (1998)

263 Citations

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