What is he best known for?
The fields of study he is best known for:
- Operating system
- Artificial intelligence
- Optics
His scientific interests lie mostly in Computer hardware, Artificial intelligence, Bar, Computer vision and Reading.
His research integrates issues of Wireless, Analog transmission, Analog image processing, Automatic gain control and Embedded system in his study of Computer hardware.
His study in Bar is interdisciplinary in nature, drawing from both Object and Laser scanning.
Computer vision is a component of his Digital image, Image processing and Pixel studies.
The study incorporates disciplines such as Planar, Computer graphics and Image formation in addition to Digital image.
Xiaoxun Zhu has researched Reading in several fields, including Terminal, Image sensor and Code.
His most cited work include:
- Hand-supportable imaging-based bar code symbol reader supporting narrow-area and wide-area modes of illumination and image capture (432 citations)
- Methods of and apparatus for programming and managing diverse network components, including electronic-ink based display devices, in a mesh-type wireless communication network (385 citations)
- Tunnel-type digital imaging-based system for use in automated self-checkout and cashier-assisted checkout operations in retail store environments (371 citations)
What are the main themes of his work throughout his whole career to date?
Xiaoxun Zhu mostly deals with Digital image, Artificial intelligence, Computer vision, Optics and Image formation.
His studies in Digital image integrate themes in fields like Computer graphics, The Intersect, Window, Digital image processing and Field of view.
His Artificial intelligence research is multidisciplinary, relying on both Control system and Symbol.
His work carried out in the field of Computer vision brings together such families of science as Reading and Code.
His Reading research is under the purview of Computer hardware.
His Optics research is multidisciplinary, incorporating elements of Planar and Optoelectronics.
He most often published in these fields:
- Digital image (44.92%)
- Artificial intelligence (42.62%)
- Computer vision (41.64%)
What were the highlights of his more recent work (between 2008-2015)?
- Computer hardware (20.00%)
- Reading (25.25%)
- Code (27.87%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Computer hardware, Reading, Code, Symbol and Artificial intelligence.
His studies deal with areas such as Digital image, Portable data terminal, Video camera, Digital camera and Mobile computing as well as Computer hardware.
His Digital image research incorporates elements of Image resolution, Database transaction and Image formation.
The concepts of his Reading study are interwoven with issues in Terminal and Image sensor.
Xiaoxun Zhu works mostly in the field of Code, limiting it down to topics relating to Bar and, in certain cases, Object, as a part of the same area of interest.
In his study, Key is inextricably linked to Computer vision, which falls within the broad field of Artificial intelligence.
Between 2008 and 2015, his most popular works were:
- Methods of and apparatus for programming and managing diverse network components, including electronic-ink based display devices, in a mesh-type wireless communication network (385 citations)
- Point of sale (POS) based checkout system supporting a customer-transparent two-factor authentication process during product checkout operations (355 citations)
- Auto-exposure method using continuous video frames under controlled illumination (348 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- Software
His primary areas of investigation include Reading, Code, Computer vision, Artificial intelligence and Symbol.
His work deals with themes such as Image sensor, Point of sale, Database, Identification and Terminal, which intersect with Reading.
His Code study combines topics in areas such as Acoustics, Speech recognition, Aperture, Embedded system and Port.
His work in Image processing, Digital image, Image resolution, Image formation and Digital image processing is related to Computer vision.
His work on Object as part of general Artificial intelligence study is frequently connected to Operator, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
The study incorporates disciplines such as Character, Bar and Transducer in addition to Symbol.
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