What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- Computer network
Weiming Shen mainly focuses on Systems engineering, The Internet, Wireless sensor network, Multi-agent system and Computer-integrated manufacturing.
His The Internet research is multidisciplinary, incorporating elements of Engineering management, Knowledge management, Software agent, XML and Engineering design process.
His study focuses on the intersection of Multi-agent system and fields such as Concurrent engineering with connections in the field of Project management and Collaborative software.
His work in the fields of Computer-integrated manufacturing, such as Process development execution system, overlaps with other areas such as Research literature.
His study in Process development execution system is interdisciplinary in nature, drawing from both Scheduling, Dynamic priority scheduling and Manufacturing execution system.
His Supply chain management research is multidisciplinary, incorporating perspectives in Integrated Computer-Aided Manufacturing, Enterprise integration, Digital firm and Manufacturing engineering.
His most cited work include:
- Agent-Based Systems for Intelligent Manufacturing: A State-of-the-Art Survey (725 citations)
- Applications of agent-based systems in intelligent manufacturing: An updated review ☆ (455 citations)
- Collaborative conceptual design—state of the art and future trends (430 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Distributed computing, Systems engineering, Knowledge management, The Internet and Software engineering.
His work deals with themes such as Scheduling, Dynamic priority scheduling, Flow shop scheduling, Fair-share scheduling and Multi-agent system, which intersect with Distributed computing.
In his work, Job shop scheduling, Computer-integrated manufacturing, Manufacturing execution system and Real-time computing is strongly intertwined with Scheduling, which is a subfield of Dynamic priority scheduling.
His work in Knowledge management tackles topics such as Process management which are related to areas like Software agent.
His The Internet study integrates concerns from other disciplines, such as Intelligent agent, Web service, Systems architecture and Engineering management.
Weiming Shen has included themes like Collaborative software, Collaborative product development and Workflow in his Software engineering study.
He most often published in these fields:
- Distributed computing (14.39%)
- Systems engineering (11.27%)
- Knowledge management (10.79%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial intelligence (8.15%)
- Mathematical optimization (6.24%)
- Data mining (4.80%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Artificial intelligence, Mathematical optimization, Data mining, Big data and HVAC.
The concepts of his Artificial intelligence study are interwoven with issues in Machine learning, Computer vision, Condition monitoring and Pattern recognition.
The Big data study combines topics in areas such as Cloud manufacturing, Distributed computing, Wireless sensor network, The Internet and Information and Communications Technology.
His Distributed computing research includes themes of Manufacturing services, Function and Reliability.
His work carried out in the field of Information and Communications Technology brings together such families of science as Emerging technologies, Concurrent engineering, Product design, Information sharing and Process management.
His biological study deals with issues like Ground truth, which deal with fields such as Systems engineering.
Between 2015 and 2021, his most popular works were:
- Agent-Oriented Cooperative Smart Objects: From IoT System Design to Implementation (106 citations)
- Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning. (57 citations)
- Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning. (57 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Computer network
Weiming Shen mostly deals with Artificial intelligence, Big data, Wireless sensor network, HVAC and The Internet.
His studies deal with areas such as Condition monitoring and Pattern recognition as well as Artificial intelligence.
He combines subjects such as Information and Communications Technology, Emerging technologies, Data science and Process management with his study of Big data.
His Information and Communications Technology study which covers Manufacturing engineering that intersects with Automation.
Weiming Shen has researched Wireless sensor network in several fields, including Communications protocol, Embedded system, Protocol, Systems architecture and Application layer.
His The Internet study combines topics in areas such as Cloud manufacturing, Distributed computing and Reliability.
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