What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- The Internet
Xueyan Tang mainly investigates Distributed computing, Computer network, Real-time computing, Mobile computing and Wireless sensor network.
His Distributed computing research includes elements of Scheduling, Broadcasting, Search engine indexing and Cache.
His research in the fields of Server and Quality of service overlaps with other disciplines such as Replica.
His Real-time computing study incorporates themes from Green computing and Fair-share scheduling.
His research integrates issues of Ubiquitous computing, Information privacy, Mobile device and Location-based service in his study of Mobile computing.
Xueyan Tang interconnects Wireless, Key distribution in wireless sensor networks, Mobile wireless sensor network and Base station in the investigation of issues within Wireless sensor network.
His most cited work include:
- Time-critical on-demand data broadcast: algorithms, analysis, and performance evaluation (164 citations)
- Extending Network Lifetime for Precision-Constrained Data Aggregation in Wireless Sensor Networks (142 citations)
- Top-k Monitoring in Wireless Sensor Networks (141 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Distributed computing, Computer network, Server, Wireless sensor network and Approximation algorithm.
His studies in Distributed computing integrate themes in fields like Virtual machine, Interactivity, Quality of service, The Internet and Scheduling.
Xueyan Tang has included themes like Consistency and Replication in his Computer network study.
In his research on the topic of Server, Workload is strongly related with Cloud computing.
His Wireless sensor network study combines topics in areas such as Wireless, Sensor node, Key distribution in wireless sensor networks, Real-time computing and Base station.
He combines subjects such as Maximization and Greedy algorithm with his study of Approximation algorithm.
He most often published in these fields:
- Distributed computing (50.74%)
- Computer network (37.50%)
- Server (25.00%)
What were the highlights of his more recent work (between 2016-2021)?
- Approximation algorithm (16.18%)
- Maximization (9.56%)
- Mathematical optimization (12.50%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Approximation algorithm, Maximization, Mathematical optimization, Distributed computing and Server.
His Approximation algorithm study combines topics from a wide range of disciplines, such as Computation, Greedy algorithm and Minification.
His work carried out in the field of Maximization brings together such families of science as Scalability and Viral marketing.
His work in the fields of Online algorithm and Asymptotically optimal algorithm overlaps with other areas such as Interval and Total cost.
His Distributed computing research includes themes of Workload and Resource allocation.
His Server study deals with The Internet intersecting with Algorithm design, Theoretical computer science and Interactive computing.
Between 2016 and 2021, his most popular works were:
- Online Processing Algorithms for Influence Maximization (47 citations)
- Efficient algorithms for adaptive influence maximization (31 citations)
- Influence Maximization Meets Efficiency and Effectiveness: A Hop-Based Approach (26 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- The Internet
The scientist’s investigation covers issues in Maximization, Approximation algorithm, Mathematical optimization, Algorithm and Cloud gaming.
His Mathematical optimization research is multidisciplinary, incorporating elements of Scalability and Hop.
His study in Cloud gaming is interdisciplinary in nature, drawing from both Software, Provisioning and Distributed computing.
His Distributed computing study integrates concerns from other disciplines, such as Quality of service and Profiling.
His Server research incorporates elements of Real-time computing, Bin packing problem and Online algorithm.
The Heuristics study combines topics in areas such as Algorithm design, Virtualization, Computer network and The Internet.
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