What is he best known for?
The fields of study he is best known for:
- Semiconductor
- Electrical engineering
- Nanotechnology
Chi Hwan Lee mainly investigates Nanotechnology, Optoelectronics, Nanowire, Continuous monitoring and Semiconductor.
His Nanotechnology research is multidisciplinary, relying on both Diode, Composite material, Self-healing hydrogels and Electronics.
His studies in Electronics integrate themes in fields like Biomimetics and Drug release.
His study brings together the fields of Thin film and Optoelectronics.
His Nanowire study integrates concerns from other disciplines, such as Photocurrent, Shell, Core and Energy conversion efficiency.
His study in Semiconductor is interdisciplinary in nature, drawing from both Elastomer, Silicon, Superlattice and Biosensor.
His most cited work include:
- Simultaneously Efficient Light Absorption and Charge Separation in WO3/BiVO4 Core/Shell Nanowire Photoanode for Photoelectrochemical Water Oxidation (480 citations)
- Bioresorbable silicon electronic sensors for the brain (416 citations)
- Soft network composite materials with deterministic and bio-inspired designs. (223 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Nanotechnology, Optoelectronics, Electronics, Silicon and Nanowire.
His research integrates issues of Diode, Stretchable electronics and Transfer printing in his study of Nanotechnology.
His work on Photocurrent, Light-emitting diode and Plasmon as part of general Optoelectronics study is frequently connected to Crystal, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His study looks at the relationship between Electronics and fields such as Microfluidics, as well as how they intersect with chemical problems.
His Silicon study which covers Wafer that intersects with Porous silicon.
His Nanowire research incorporates themes from Doping, Etching, Crystallinity, Chemical engineering and Substrate.
He most often published in these fields:
- Nanotechnology (51.35%)
- Optoelectronics (31.08%)
- Electronics (25.68%)
What were the highlights of his more recent work (between 2019-2021)?
- Biomedical engineering (9.46%)
- Biosensor (5.41%)
- Optoelectronics (31.08%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Biomedical engineering, Biosensor, Optoelectronics, Wearable computer and Nanotechnology.
His Scaffold study in the realm of Biomedical engineering connects with subjects such as Sensor array, External data and Crevice corrosion.
He merges Optoelectronics with Planar in his research.
His study in the fields of Wearable technology under the domain of Wearable computer overlaps with other disciplines such as Islet cell transplantation, Insulin and Diabetes management.
His biological study spans a wide range of topics, including Human–computer interaction and Intensive care medicine.
His Nanotechnology research spans across into fields like Cell sheet and Advanced materials.
Between 2019 and 2021, his most popular works were:
- Printing Flexible and Hybrid Electronics for Human Skin and Eye-Interfaced Health Monitoring Systems. (23 citations)
- Wirelessly controlled, bioresorbable drug delivery device with active valves that exploit electrochemically triggered crevice corrosion. (7 citations)
- Bioresorbable, Miniaturized Porous Silicon Needles on a Flexible Water-Soluble Backing for Unobtrusive, Sustained Delivery of Chemotherapy (4 citations)
In his most recent research, the most cited papers focused on:
- Semiconductor
- Electrical engineering
- Nanotechnology
His scientific interests lie mostly in Biomedical engineering, Nanotechnology, Cell sheet, Crevice corrosion and Drug release.
His research on Biomedical engineering often connects related areas such as Sustained delivery.
His study on Crevice corrosion is intertwined with other disciplines of science such as Controlled release, Drug delivery and Electrical current.
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.
