D-Index & Metrics Best Publications
Research.com 2022 Rising Star of Science Award Badge

D-Index & Metrics

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
Engineering and Technology D-index 38 Citations 6,855 148 World Ranking 2861 National Ranking 284
Rising Stars D-index 41 Citations 7,792 296 World Ranking 547 National Ranking 204

Research.com Recognitions

Awards & Achievements

2022 - Research.com Rising Star of Science Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Optics
  • Artificial intelligence
  • Computer vision

Chao Zuo focuses on Optics, Phase retrieval, Phase, Structured-light 3D scanner and Artificial intelligence. His work deals with themes such as Digital image processing, Fourier transform and Solver, which intersect with Optics. The various areas that he examines in his Phase retrieval study include Geometrical optics, Coherence time, Frequency domain and Statistical physics.

His Absolute phase study in the realm of Phase connects with subjects such as Wigner distribution function. The Structured-light 3D scanner study combines topics in areas such as Pulse-width modulation, Frame rate, Robustness and Projector. His Artificial intelligence study incorporates themes from Lens, Simulated annealing and Computer vision.

His most cited work include:

  • Temporal phase unwrapping algorithms for fringe projection profilometry: A comparative review (307 citations)
  • Phase shifting algorithms for fringe projection profilometry: A review (227 citations)
  • High-speed three-dimensional shape measurement for dynamic scenes using bi-frequency tripolar pulse-width-modulation fringe projection (226 citations)

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

Optics, Phase, Phase retrieval, Artificial intelligence and Computer vision are his primary areas of study. His Optics research is multidisciplinary, incorporating perspectives in Fourier transform and Structured-light 3D scanner. His biological study spans a wide range of topics, including High dynamic range, Frame rate, Light intensity, Projector and Robustness.

His research in the fields of Absolute phase overlaps with other disciplines such as Transfer function. The Phase retrieval study which covers Light field that intersects with Geometrical optics. His work carried out in the field of Artificial intelligence brings together such families of science as Profilometer and Calibration.

He most often published in these fields:

  • Optics (69.42%)
  • Phase (46.05%)
  • Phase retrieval (38.14%)

What were the highlights of his more recent work (between 2019-2021)?

  • Optics (69.42%)
  • Artificial intelligence (33.33%)
  • Computer vision (28.52%)

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

Chao Zuo mainly focuses on Optics, Artificial intelligence, Computer vision, Phase retrieval and Phase. While working in this field, Chao Zuo studies both Optics and Materials science. His Artificial intelligence research incorporates themes from Absolute phase and Structured-light 3D scanner.

His work in Computer vision addresses subjects such as Fringe projection profilometry, which are connected to disciplines such as Calibration, 3d geometry and Coding. The study incorporates disciplines such as Phase imaging, Division by zero, Computation and Poisson's equation in addition to Phase retrieval. His Phase research is multidisciplinary, incorporating elements of Deconvolution, Algorithm and High dynamic range.

Between 2019 and 2021, his most popular works were:

  • Deep-learning-enabled geometric constraints and phase unwrapping for single-shot absolute 3D shape measurement (70 citations)
  • Single-shot absolute 3D shape measurement with deep-learning-based color fringe projection profilometry (64 citations)
  • Resolution Analysis in a Lens-Free On-Chip Digital Holographic Microscope (50 citations)

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

  • Optics
  • Artificial intelligence
  • Computer vision

His primary areas of investigation include Optics, Artificial intelligence, Phase retrieval, Computer vision and Deep learning. His study connects Structured-light 3D scanner and Optics. His Artificial intelligence study combines topics in areas such as Phase, Surface and Standard model.

His Phase study combines topics from a wide range of disciplines, such as Algorithm, Fourier transform and High dynamic range. Chao Zuo works mostly in the field of Phase retrieval, limiting it down to topics relating to Projection and, in certain cases, Electronic engineering, Structured light and Field of view. He combines subjects such as Artificial neural network, Convolutional neural network and Reflectivity with his study of Computer vision.

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

Temporal phase unwrapping algorithms for fringe projection profilometry: A comparative review

Chao Zuo;Lei Huang;Minliang Zhang;Qian Chen.
Optics and Lasers in Engineering (2016)

389 Citations

Phase shifting algorithms for fringe projection profilometry: A review

Chao Zuo;Shijie Feng;Lei Huang;Tianyang Tao.
Optics and Lasers in Engineering (2018)

296 Citations

High-speed three-dimensional shape measurement for dynamic scenes using bi-frequency tripolar pulse-width-modulation fringe projection

Chao Zuo;Chao Zuo;Qian Chen;Qian Chen;Guohua Gu;Shijie Feng.
Optics and Lasers in Engineering (2013)

253 Citations

High-speed three-dimensional profilometry for multiple objects with complex shapes.

Chao Zuo;Qian Chen;Guohua Gu;Shijie Feng.
Optics Express (2012)

176 Citations

High-speed transport-of-intensity phase microscopy with an electrically tunable lens.

Chao Zuo;Qian Chen;Weijuan Qu;Anand Asundi.
Optics Express (2013)

162 Citations

High-resolution transport-of-intensity quantitative phase microscopy with annular illumination

Chao Zuo;Jiasong Sun;Jiaji Li;Jialin Zhang.
Scientific Reports (2017)

152 Citations

Transport-of-intensity phase imaging using Savitzky-Golay differentiation filter--theory and applications.

Chao Zuo;Qian Chen;Yingjie Yu;Anand Krishna Asundi.
Optics Express (2013)

149 Citations

Range Limited Bi-Histogram Equalization for image contrast enhancement

Chao Zuo;Qian Chen;Xiubao Sui.
Optik (2013)

145 Citations

Fringe pattern analysis using deep learning

Shijie Feng;Qian Chen;Guohua Gu;Tianyang Tao.
Advanced Photonics (2019)

145 Citations

Adaptive step-size strategy for noise-robust Fourier ptychographic microscopy.

Chao Zuo;Jiasong Sun;Qian Chen.
Optics Express (2016)

141 Citations

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