What is she best known for?
The fields of study she is best known for:
- Computer network
- The Internet
- Operating system
Sung-Ju Lee mainly investigates Computer network, Distributed computing, Optimized Link State Routing Protocol, Ad hoc wireless distribution service and Wireless Routing Protocol.
Her Computer network study typically links adjacent topics like Wireless network.
Her Distributed computing research includes themes of Dynamic network analysis, Scalability, Service and Information system.
To a larger extent, Sung-Ju Lee studies Wireless ad hoc network with the aim of understanding Optimized Link State Routing Protocol.
Her Ad hoc wireless distribution service research incorporates themes from Network topology, Ad hoc On-Demand Distance Vector Routing and Geocast.
Her studies in Wireless Routing Protocol integrate themes in fields like Link-state routing protocol and Dynamic Source Routing.
Her most cited work include:
- Split multipath routing with maximally disjoint paths in ad hoc networks (1176 citations)
- On-demand multicast routing protocol in multihop wireless mobile networks (715 citations)
- On-demand multicast routing protocol (704 citations)
What are the main themes of her work throughout her whole career to date?
Her scientific interests lie mostly in Computer network, Distributed computing, Wireless network, Wireless and Real-time computing.
As part of her studies on Computer network, Sung-Ju Lee frequently links adjacent subjects like Wireless ad hoc network.
Her studies deal with areas such as Scalability, PlanetLab, Quality of service, Network topology and Bandwidth as well as Distributed computing.
Her work deals with themes such as Frame, Electronic engineering and Throughput, which intersect with Wireless network.
The study incorporates disciplines such as Vehicular ad hoc network and Geocast in addition to Ad hoc wireless distribution service.
Sung-Ju Lee has included themes like Link-state routing protocol, Destination-Sequenced Distance Vector routing and Dynamic Source Routing in her Wireless Routing Protocol study.
She most often published in these fields:
- Computer network (63.73%)
- Distributed computing (23.04%)
- Wireless network (20.10%)
What were the highlights of her more recent work (between 2016-2021)?
- Human–computer interaction (5.39%)
- Computer network (63.73%)
- Context (3.43%)
In recent papers she was focusing on the following fields of study:
The scientist’s investigation covers issues in Human–computer interaction, Computer network, Context, Android app and Artificial intelligence.
Her research on Human–computer interaction also deals with topics like
- Object which intersects with area such as Identification and Leverage,
- Process which is related to area like Cellular network, Distributed computing, Sequence and Routing control plane.
Her Computer network study combines topics from a wide range of disciplines, such as Wireless lan and Throughput.
Her research integrates issues of Control and Java code in her study of Android app.
Her work on Deep learning and Augmented reality as part of her general Artificial intelligence study is frequently connected to Impulse and Thermal pain, thereby bridging the divide between different branches of science.
Her Network packet study integrates concerns from other disciplines, such as Flow, Ip address, Host and Multicast.
Between 2016 and 2021, her most popular works were:
- Don't Bother Me. I'm Socializing!: A Breakpoint-Based Smartphone Notification System (35 citations)
- Intelligent positive computing with mobile, wearable, and IoT devices: Literature review and research directions (33 citations)
- MetaSense: few-shot adaptation to untrained conditions in deep mobile sensing (14 citations)
In her most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Operating system
Her primary areas of study are Human–computer interaction, User experience design, Context, Process and Exploit.
Her Human–computer interaction research is multidisciplinary, incorporating perspectives in Deep learning, Task and Artificial intelligence.
Her Deep learning research incorporates themes from Motion, Video chat and Overheating.
Her Artificial intelligence study incorporates themes from Mobile device and Adaptation.
Her Process research is multidisciplinary, incorporating elements of Sequence, Distributed computing, Routing control plane and Cellular network.
The various areas that Sung-Ju Lee examines in her Exploit study include Object, Cognitive neuroscience of visual object recognition and Accelerometer.
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