What is he best known for?
The fields of study he is best known for:
- Computer network
- Artificial intelligence
- The Internet
His primary areas of study are Computer network, Wireless ad hoc network, Wireless sensor network, Wireless network and Distributed computing.
Xiang-Yang Li combines subjects such as Wireless and Energy consumption with his study of Computer network.
His Wireless ad hoc network study combines topics in areas such as Topology control, Connected dominating set, Mobile ad hoc network, Network topology and Topology.
The study incorporates disciplines such as Data collection, Key distribution in wireless sensor networks, Node, Real-time computing and Distributed algorithm in addition to Wireless sensor network.
The Wireless network study combines topics in areas such as Discrete mathematics, Minimum spanning tree, Unicast, Network packet and Vickrey–Clarke–Groves auction.
Xiang-Yang Li has included themes like Algorithm design and Mobile radio in his Distributed computing study.
His most cited work include:
- Coverage in wireless ad hoc sensor networks (466 citations)
- Tagoram: real-time tracking of mobile RFID tags to high precision using COTS devices (460 citations)
- Minimum-energy broadcast routing in static ad hoc wireless networks (386 citations)
What are the main themes of his work throughout his whole career to date?
Computer network, Wireless network, Distributed computing, Wireless sensor network and Wireless are his primary areas of study.
His study in Computer network is interdisciplinary in nature, drawing from both Wireless ad hoc network and Throughput.
Xiang-Yang Li works mostly in the field of Wireless ad hoc network, limiting it down to topics relating to Network topology and, in certain cases, Topology control.
His research in Wireless network intersects with topics in Node, Upper and lower bounds and Discrete mathematics.
His Distributed computing study incorporates themes from Algorithm design and Routing protocol.
His Wireless sensor network research incorporates themes from Network packet, Energy consumption, Key distribution in wireless sensor networks, Mobile wireless sensor network and Real-time computing.
He most often published in these fields:
- Computer network (40.91%)
- Wireless network (21.63%)
- Distributed computing (20.85%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (7.05%)
- Machine learning (2.82%)
- Scheduling (11.91%)
In recent papers he was focusing on the following fields of study:
Xiang-Yang Li spends much of his time researching Artificial intelligence, Machine learning, Scheduling, Real-time computing and Wireless.
The study incorporates disciplines such as Distributed computing, Approximation algorithm, Mobile computing, Edge computing and Online algorithm in addition to Scheduling.
In Real-time computing, he works on issues like Tracking, which are connected to Object.
Xiang-Yang Li interconnects Wireless sensor network, Transmission, Beamforming, Handwriting and Radio frequency in the investigation of issues within Wireless.
His Server research is included under the broader classification of Computer network.
His Computer network study frequently draws connections to adjacent fields such as Transmitter.
Between 2017 and 2021, his most popular works were:
- One More Tag Enables Fine-Grained RFID Localization and Tracking (106 citations)
- Learning to Teach. (39 citations)
- Social Network De-Anonymization and Privacy Inference with Knowledge Graph Model (33 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Artificial intelligence
- The Internet
His primary areas of investigation include Artificial intelligence, Scheduling, Wireless, Information privacy and Approximation algorithm.
His biological study spans a wide range of topics, including Machine learning and Computer vision.
His Scheduling research is multidisciplinary, incorporating perspectives in Edge computing and Distributed computing.
In his research, Data center is intimately related to Competitive analysis, which falls under the overarching field of Distributed computing.
The various areas that Xiang-Yang Li examines in his Wireless study include Wireless sensor network, Handwriting and Transmission.
His Load balancing research is within the category of Computer network.
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