What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- Operating system
His main research concerns Real-time computing, Global Positioning System, Simulation, Taxis and World Wide Web.
His research in Real-time computing intersects with topics in Wireless, Set, Probabilistic logic and Embedded system.
His Simulation research incorporates themes from Orientation, Activity recognition, Channel state information and Trajectory.
His World Wide Web study combines topics from a wide range of disciplines, such as Ontology, Middleware and Context model.
His Ontology research incorporates elements of Ubiquitous computing, Multimedia, Mobile computing and Presentation.
His Middleware research is multidisciplinary, incorporating elements of Middleware, Data science and Web Ontology Language.
His most cited work include:
- Ontology based context modeling and reasoning using OWL (990 citations)
- A service-oriented middleware for building context-aware services (824 citations)
- An Ontology-based Context Model in Intelligent Environments (407 citations)
What are the main themes of his work throughout his whole career to date?
Real-time computing, Artificial intelligence, World Wide Web, Mobile computing and Human–computer interaction are his primary areas of study.
Daqing Zhang works mostly in the field of Real-time computing, limiting it down to topics relating to Simulation and, in certain cases, Global Positioning System and Taxis, as a part of the same area of interest.
The various areas that Daqing Zhang examines in his Artificial intelligence study include Machine learning, Task, Computer vision and Set.
His World Wide Web course of study focuses on Ontology and Context model.
His work deals with themes such as Computer security, Task analysis and Mobile search, which intersect with Mobile computing.
Daqing Zhang works in the field of Human–computer interaction, namely Ubiquitous computing.
He most often published in these fields:
- Real-time computing (18.01%)
- Artificial intelligence (17.70%)
- World Wide Web (15.53%)
What were the highlights of his more recent work (between 2019-2021)?
- Trajectory (5.59%)
- Real-time computing (18.01%)
- Artificial intelligence (17.70%)
In recent papers he was focusing on the following fields of study:
Daqing Zhang mostly deals with Trajectory, Real-time computing, Artificial intelligence, Operations research and Channel state information.
Daqing Zhang interconnects Blind signal separation, Independent component analysis, Respiration rate, Signal processing and Global Positioning System in the investigation of issues within Real-time computing.
His Artificial intelligence study combines topics in areas such as Machine learning, Mobile computing and Computer vision.
His Operations research research is multidisciplinary, incorporating perspectives in Taxis, Planner, Trip planning and Service.
Daqing Zhang combines subjects such as Ubiquitous computing, Boosting, Leverage and Respiration monitoring with his study of Channel state information.
His work carried out in the field of Knowledge transfer brings together such families of science as Task and Human–computer interaction.
Between 2019 and 2021, his most popular works were:
- An Ontology-based Context Model in Intelligent Environments (407 citations)
- HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing (27 citations)
- VTracer: When Online Vehicle Trajectory Compression Meets Mobile Edge Computing (16 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- The Internet
His scientific interests lie mostly in Real-time computing, Task analysis, Key, Operations research and Channel state information.
Daqing Zhang has included themes like Signal variation and Transceiver in his Real-time computing study.
His research investigates the link between Task analysis and topics such as Crowdsourcing that cross with problems in Integrated transportation and Transport engineering.
His Channel state information research is multidisciplinary, relying on both Orientation, SIGNAL and Gesture, Gesture recognition.
Daqing Zhang conducts interdisciplinary study in the fields of Revenue and Mobile computing through his research.
He integrates Mobile computing and Dynamic pricing in his studies.
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