What is he best known for?
The fields of study he is best known for:
- Computer network
- Artificial intelligence
- Operating system
Computer network, The Internet, Firewall, Network packet and Data mining are his primary areas of study.
His research in Computer network intersects with topics in Computer security, Information sensitivity and Wireless security.
His The Internet research incorporates themes from Web service, Virtual network, Heuristic, Web application and Network virtualization.
His Firewall research integrates issues from Private network and Algorithm.
His Network packet research includes elements of Classifier and Content-addressable storage, Content-addressable memory.
In Data mining, Alex X. Liu works on issues like Theoretical computer science, which are connected to Bloom filter, Probabilistic logic, Offset and Search engine indexing.
His most cited work include:
- Understanding and Modeling of WiFi Signal Based Human Activity Recognition (478 citations)
- Keystroke Recognition Using WiFi Signals (317 citations)
- Gait recognition using wifi signals (232 citations)
What are the main themes of his work throughout his whole career to date?
Alex X. Liu mostly deals with Computer network, Data mining, Computer security, Network packet and Distributed computing.
His Computer network study frequently links to other fields, such as The Internet.
His work deals with themes such as Set, Cluster analysis and Bloom filter, which intersect with Data mining.
His research ties Content-addressable memory and Network packet together.
His research integrates issues of Scheduling and Cloud computing in his study of Distributed computing.
His Firewall research includes themes of Private network and Authorization.
He most often published in these fields:
- Computer network (28.76%)
- Data mining (14.78%)
- Computer security (12.37%)
What were the highlights of his more recent work (between 2019-2021)?
- Wireless (6.18%)
- Artificial intelligence (9.41%)
- Real-time computing (8.06%)
In recent papers he was focusing on the following fields of study:
Alex X. Liu mainly focuses on Wireless, Artificial intelligence, Real-time computing, Computer network and Theoretical computer science.
His Wireless study incorporates themes from Reliability, Wireless sensor network, Submodular set function, Multipath propagation and Topology.
His Artificial intelligence research is multidisciplinary, relying on both Machine learning, Channel state information and Computer vision.
His Channel state information study deals with Path loss intersecting with Distributed computing.
His biological study spans a wide range of topics, including Scheme, Key and Inertial measurement unit.
His Computer network study frequently draws connections to adjacent fields such as Physical layer.
Between 2019 and 2021, his most popular works were:
- A Group-Based Binary Splitting Algorithm for UHF RFID Anti-Collision Systems (46 citations)
- Self-adaptive parameter and strategy based particle swarm optimization for large-scale feature selection problems with multiple classifiers (18 citations)
- Fast and Accurate Detection of Unknown Tags for RFID Systems – Hash Collisions are Desirable (13 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Artificial intelligence
- Operating system
His main research concerns Computer engineering, Identification, Theoretical computer science, Partition and Protocol.
The Theoretical computer science study combines topics in areas such as Adjacency matrix, Node, Data publishing and Random matrix.
His work in Partition tackles topics such as Aloha which are related to areas like Ultra high frequency and Set.
His research investigates the link between Protocol and topics such as Dual that cross with problems in Matching.
Alex X. Liu has included themes like Algorithm and Radio-frequency identification in his Cardinality study.
His Big data course of study focuses on Machine learning and Artificial intelligence.
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