What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mechanical engineering
- Computer vision
His primary scientific interests are in Artificial intelligence, Robot, Computer vision, Simulation and Mobile robot.
His Artificial intelligence research incorporates elements of Visual perception and Pattern recognition.
Jianwei Zhang regularly links together related areas like Pneumatic cylinder in his Robot studies.
In his study, Region growing, Projection, Sensitivity, Color image and Weighting is inextricably linked to Plane, which falls within the broad field of Computer vision.
His Simulation study integrates concerns from other disciplines, such as Fin, Propulsion, Motion control, Control engineering and Robot kinematics.
The various areas that Jianwei Zhang examines in his Mobile robot study include Mechanical engineering and Climbing.
His most cited work include:
- Vision Processing for Realtime 3-D Data Acquisition Based on Coded Structured Light (170 citations)
- A Survey on CPG-Inspired Control Models and System Implementation (143 citations)
- Multi-LeapMotion sensor based demonstration for robotic refine tabletop object manipulation task (136 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Artificial intelligence, Robot, Computer vision, Mobile robot and Simulation.
He combines subjects such as GRASP and Pattern recognition with his study of Artificial intelligence.
His Robot research is multidisciplinary, incorporating perspectives in Control engineering, Kinematics and Human–computer interaction.
His Computer vision study frequently draws connections between related disciplines such as Robustness.
His Mobile robot research is multidisciplinary, relying on both Motion control, Embedded system, Motion planning and Modular design.
The Simulation study combines topics in areas such as Torque and Climbing.
He most often published in these fields:
- Artificial intelligence (49.59%)
- Robot (45.02%)
- Computer vision (29.20%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (49.59%)
- Robot (45.02%)
- Computer vision (29.20%)
In recent papers he was focusing on the following fields of study:
Jianwei Zhang mainly focuses on Artificial intelligence, Robot, Computer vision, Object and Human–computer interaction.
His study looks at the intersection of Artificial intelligence and topics like Pattern recognition with Image retrieval.
Jianwei Zhang works in the field of Robot, namely Human–robot interaction.
His research investigates the link between Computer vision and topics such as Artificial neural network that cross with problems in Perception.
The study incorporates disciplines such as Affordance and Deep learning in addition to Object.
Jianwei Zhang studies Grasp planning, a branch of GRASP.
Between 2017 and 2021, his most popular works were:
- PointNetGPD: Detecting Grasp Configurations from Point Sets (58 citations)
- Two key features influencing community assembly processes at regional scale: Initial state and degree of change in environmental conditions. (32 citations)
- Responses of paddy soil bacterial community assembly to different long-term fertilizations in southeast China. (21 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Mechanical engineering
- Computer vision
His scientific interests lie mostly in Artificial intelligence, Robot, Computer vision, Convolutional neural network and Point cloud.
His research combines Machine learning and Artificial intelligence.
His work deals with themes such as Control engineering, Human–computer interaction and GRASP, which intersect with Robot.
He has researched Computer vision in several fields, including Artificial neural network, Control theory, Position and Lumbar spinal stenosis.
As a part of the same scientific family, Jianwei Zhang mostly works in the field of Convolutional neural network, focusing on Object and, on occasion, Deep learning.
His studies deal with areas such as Eye tracking, Distortion, Inertial measurement unit and Motion estimation as well as Point cloud.
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