What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- Gene
His main research concerns Computer network, Wireless, Node, Distributed computing and Wireless network.
His Computer network research includes elements of Wireless lan, Wi-Fi array and Throughput.
His Wireless study combines topics from a wide range of disciplines, such as Network simulation, Distributed algorithm and Metrics.
The Node study combines topics in areas such as Scalability, Fairness measure, Header, Server and Interconnection.
His Distributed computing study which covers Routing protocol that intersects with Transmission time and Wireless network interface controller.
His Wireless network research is multidisciplinary, incorporating elements of Frame, Algorithm, Key and Testbed.
His most cited work include:
- Dcell: a scalable and fault-tolerant network structure for data centers (894 citations)
- A Compound TCP Approach for High-Speed and Long Distance Networks (469 citations)
- BeepBeep: a high accuracy acoustic ranging system using COTS mobile devices (408 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Computer network, Wireless, Network packet, Distributed computing and Wireless network.
Kun Tan has included themes like Wireless lan and Throughput in his Computer network study.
In his study, which falls under the umbrella issue of Wireless, Embedded system, PHY, Physical layer, Computer architecture and Multi-core processor is strongly linked to Software-defined radio.
His Network packet study also includes
- Timeout and related Spurious relationship,
- Bandwidth that connect with fields like Host,
- Mobile device most often made with reference to Real-time computing.
His Distributed computing study integrates concerns from other disciplines, such as Ad hoc wireless distribution service, Optimized Link State Routing Protocol, Routing protocol, Mobile ad hoc network and Node.
His work carried out in the field of Node brings together such families of science as Scalability, Interconnection and Server.
He most often published in these fields:
- Computer network (57.40%)
- Wireless (21.30%)
- Network packet (20.12%)
What were the highlights of his more recent work (between 2019-2021)?
- Computer network (57.40%)
- Cell biology (8.28%)
- Network packet (20.12%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Computer network, Cell biology, Network packet, Packet loss and Cell.
He regularly ties together related areas like Wi-Fi in his Computer network studies.
His study in Cell biology is interdisciplinary in nature, drawing from both In vitro, Gene, Transition, Transcriptome and Spermatogenesis.
When carried out as part of a general Network packet research project, his work on Network congestion is frequently linked to work in Set, therefore connecting diverse disciplines of study.
Kun Tan has researched Packet loss in several fields, including Testbed and Throughput.
His Cell research is multidisciplinary, incorporating perspectives in Olfactory system, RNA, Sensory neuron, Sensory system and Developmental biology.
Between 2019 and 2021, his most popular works were:
- Single-cell RNAseq analysis of testicular germ and somatic cell development during the perinatal period (19 citations)
- Aeolus: A Building Block for Proactive Transport in Datacenters (8 citations)
- Transcriptome profiling reveals signaling conditions dictating human spermatogonia fate in vitro (8 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- The Internet
Kun Tan mainly focuses on Packet loss, Computer network, Cell biology, Throughput and Testbed.
His Packet loss study combines topics from a wide range of disciplines, such as Latency, Block and Bandwidth.
His biological study focuses on Network packet.
His work deals with themes such as Cell, Transcription factor and Sertoli cell, Gonocyte, which intersect with Cell biology.
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