D-Index & Metrics Best Publications

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 75 Citations 20,094 295 World Ranking 191 National Ranking 90

Overview

What is he best known for?

The fields of study he is best known for:

  • Optics
  • Artificial intelligence
  • Statistics

His primary areas of investigation include Microscopy, Optics, Holography, Artificial intelligence and Microscope. His Microscopy research includes elements of Wide field, Image sensor, Nanotechnology and Fluorescence microscope. His study in Pixel, Image resolution, Lens, Fluorescence and Numerical aperture is carried out as part of his studies in Optics.

His work deals with themes such as Amplitude, Phase, Aperture and Sample, which intersect with Holography. His Artificial intelligence study combines topics in areas such as Machine learning and Computer vision. His Microscope study incorporates themes from Background light, Detector array and Sensor array.

His most cited work include:

  • Lensfree microscopy on a cellphone. (375 citations)
  • All-optical machine learning using diffractive deep neural networks (374 citations)
  • Phase recovery and holographic image reconstruction using deep learning in neural networks (366 citations)

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

His primary areas of study are Optics, Microscopy, Artificial intelligence, Holography and Microscope. Lens, Image resolution, Sample, Resolution and Image sensor are the primary areas of interest in his Optics study. In his research, Plasmon is intimately related to Nanotechnology, which falls under the overarching field of Microscopy.

His research in Artificial intelligence intersects with topics in Machine learning and Computer vision. His Holography study integrates concerns from other disciplines, such as Image processing, Pixel and Iterative reconstruction. His Microscope research is multidisciplinary, incorporating perspectives in Optoelectronics, Computer hardware and Numerical aperture.

He most often published in these fields:

  • Optics (39.19%)
  • Microscopy (33.17%)
  • Artificial intelligence (29.27%)

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

  • Artificial intelligence (29.27%)
  • Deep learning (18.37%)
  • Artificial neural network (9.27%)

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

Artificial intelligence, Deep learning, Artificial neural network, Optics and Microscopy are his primary areas of study. His Artificial intelligence study combines topics from a wide range of disciplines, such as Holography, Optical computing, Computer vision and Pattern recognition. His Holography research incorporates themes from Image processing and Detection limit.

He has researched Deep learning in several fields, including Detector, Sample, Machine vision, Fluorescence microscope and Electronic engineering. He has included themes like Encoder, Spectrometer, Object, Resolution and Terahertz radiation in his Artificial neural network study. His Microscopy research includes elements of Computer architecture and Deep neural networks.

Between 2019 and 2021, his most popular works were:

  • Analysis of Diffractive Optical Neural Networks and Their Integration With Electronic Neural Networks (40 citations)
  • Deep-Learning-Based Image Reconstruction and Enhancement in Optical Microscopy (29 citations)
  • Point-of-Care Serodiagnostic Test for Early-Stage Lyme Disease Using a Multiplexed Paper-Based Immunoassay and Machine Learning. (17 citations)

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

  • Optics
  • Artificial intelligence
  • Laser

His primary areas of investigation include Artificial intelligence, Deep learning, Optical computing, Biomedical engineering and Artificial neural network. His Artificial intelligence research incorporates elements of Gold standard, Polarization Microscopy and Detector. His research integrates issues of Inverse problem, Machine vision, Computer vision, Terahertz radiation and Electronic engineering in his study of Deep learning.

His work in Computer vision tackles topics such as Microscopy which are related to areas like Fluorescence microscope, Autofocus and Fluorescence. The subject of his Fluorescence microscope research is within the realm of Optics. Aydogan Ozcan combines subjects such as Image processing and Substrate with his study of Optics.

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

Lensfree microscopy on a cellphone.

Derek Tseng;Onur Mudanyali;Cetin Oztoprak;Serhan O. Isikman.
Lab on a Chip (2010)

538 Citations

Emerging Technologies for Next-Generation Point-of-Care Testing

Sandeep Kumar Vashist;Peter B. Luppa;Leslie Y. Yeo;Aydogan Ozcan.
Trends in Biotechnology (2015)

470 Citations

Compact, light-weight and cost-effective microscope based on lensless incoherent holography for telemedicine applications

Onur Mudanyali;Derek Tseng;Chulwoo Oh;Serhan O. Isikman.
Lab on a Chip (2010)

449 Citations

Imaging without lenses: achievements and remaining challenges of wide-field on-chip microscopy

Alon Greenbaum;Wei Luo;Ting-Wei Su;Zoltán Göröcs.
Nature Methods (2012)

449 Citations

All-optical machine learning using diffractive deep neural networks

Xing Lin;Yair Rivenson;Nezih T. Yardimci;Muhammed Veli.
Science (2018)

445 Citations

Integrated rapid-diagnostic-test reader platform on a cellphone.

Onur Mudanyali;Stoyan Dimitrov;Uzair Sikora;Swati Padmanabhan.
Lab on a Chip (2012)

435 Citations

Phase recovery and holographic image reconstruction using deep learning in neural networks

Yair Rivenson;Yibo Zhang;Harun Günaydın;Da Teng.
Light-Science & Applications (2018)

426 Citations

Lensfree on-chip microscopy over a wide field-of-view using pixel super-resolution

Waheb Bishara;Ting-Wei Su;Ahmet F. Coskun;Aydogan Ozcan.
Optics Express (2010)

424 Citations

Optofluidic Fluorescent Imaging Cytometry on a Cell Phone

Hongying Zhu;Sam Mavandadi;Ahmet F. Coskun;Oguzhan Yaglidere.
Analytical Chemistry (2011)

403 Citations

Deep learning microscopy

Yair Rivenson;Zoltán Göröcs;Harun Günaydin;Yibo Zhang.
Optica (2017)

375 Citations

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