What is he best known for?
The fields of study he is best known for:
- Optics
- Artificial intelligence
- Quantum mechanics
His primary areas of study are Nanotechnology, Cancer research, Photothermal therapy, Optics and Tumor microenvironment.
Qian Chen interconnects Biophysics and In vivo in the investigation of issues within Nanotechnology.
His work deals with themes such as Cancer cell, Cancer immunotherapy, Immune system, Immunotherapy and Antigen, which intersect with Cancer research.
His work in Photothermal therapy addresses subjects such as Absorbance, which are connected to disciplines such as Nanoprobe.
His Optics research is multidisciplinary, incorporating perspectives in Phase and Phase retrieval.
The Tumor microenvironment study combines topics in areas such as Tumor hypoxia and Albumin.
His most cited work include:
- Image enhancement based on equal area dualistic sub-image histogram equalization method (786 citations)
- Photothermal therapy with immune-adjuvant nanoparticles together with checkpoint blockade for effective cancer immunotherapy (616 citations)
- Intelligent Albumin-MnO2 Nanoparticles as pH-/H2 O2 -Responsive Dissociable Nanocarriers to Modulate Tumor Hypoxia for Effective Combination Therapy. (480 citations)
What are the main themes of his work throughout his whole career to date?
Qian Chen focuses on Optics, Artificial intelligence, Computer vision, Phase and Phase retrieval.
His Optics research incorporates themes from Transfer function, Fourier transform and Structured-light 3D scanner.
His study ties his expertise on Frame rate together with the subject of Structured-light 3D scanner.
His work in Artificial intelligence is not limited to one particular discipline; it also encompasses Pattern recognition.
His work on Detector expands to the thematically related Computer vision.
His study looks at the intersection of Phase and topics like Algorithm with Robustness.
He most often published in these fields:
- Optics (36.65%)
- Artificial intelligence (34.99%)
- Computer vision (28.05%)
What were the highlights of his more recent work (between 2019-2021)?
- Artificial intelligence (34.99%)
- Optics (36.65%)
- Computer vision (28.05%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Artificial intelligence, Optics, Computer vision, Phase retrieval and Phase.
His research in Artificial intelligence intersects with topics in Absolute phase and Pattern recognition.
His work on Computer vision is being expanded to include thematically relevant topics such as Structured-light 3D scanner.
His Phase retrieval study is concerned with the larger field of Fourier transform.
Qian Chen combines topics linked to Algorithm with his work on Phase.
His Microscopy research integrates issues from Wavelength, Resolution and Refractive index.
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:
- Artificial intelligence
- Optics
- Quantum mechanics
His primary areas of investigation include Cancer research, Artificial intelligence, Immune checkpoint, Immune system and Computer vision.
His work in Cancer research covers topics such as Cancer which are related to areas like Oxygen supply.
His Artificial intelligence research includes elements of Position and Pattern recognition.
His Immune system research incorporates elements of Cancer cell, Adjuvant and Antibody.
His biological study spans a wide range of topics, including Brightness, Standard model and Reflectivity.
His biological study deals with issues like Optics, which deal with fields such as Fourier transform.
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