What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- The Internet
The scientist’s investigation covers issues in Wireless sensor network, Real-time computing, Computer network, Key distribution in wireless sensor networks and Scalability.
His studies in Wireless sensor network integrate themes in fields like Node, Algorithm design, Approximation algorithm and Visual sensor network.
The Real-time computing study combines topics in areas such as Wireless network, Android, Point of interest and Task.
His studies deal with areas such as Global Positioning System and Mobile phone as well as Computer network.
His Key distribution in wireless sensor networks research includes themes of Range and Distributed computing.
His Scalability study integrates concerns from other disciplines, such as Ranging, Network model and Embedded system.
His most cited work include:
- Tagoram: real-time tracking of mobile RFID tags to high precision using COTS devices (460 citations)
- Underground structure monitoring with wireless sensor networks (373 citations)
- Underground coal mine monitoring with wireless sensor networks (355 citations)
What are the main themes of his work throughout his whole career to date?
Mo Li mainly investigates Wireless sensor network, Computer network, Real-time computing, Key distribution in wireless sensor networks and Distributed computing.
His work is dedicated to discovering how Wireless sensor network, Wireless network are connected with Sensor array and other disciplines.
His work in the fields of Computer network, such as Network packet, Mobile computing and Routing protocol, intersects with other areas such as Mobile telephony.
Protocol and Embedded system is closely connected to Scalability in his research, which is encompassed under the umbrella topic of Real-time computing.
In Key distribution in wireless sensor networks, Mo Li works on issues like Communications protocol, which are connected to Transmission time.
His Distributed computing study deals with Testbed intersecting with Mobile device.
He most often published in these fields:
- Wireless sensor network (40.00%)
- Computer network (34.71%)
- Real-time computing (31.18%)
What were the highlights of his more recent work (between 2017-2021)?
- Real-time computing (31.18%)
- Wearable technology (3.53%)
- Default gateway (2.35%)
In recent papers he was focusing on the following fields of study:
Mo Li mostly deals with Real-time computing, Wearable technology, Default gateway, Scale and Frame.
His work investigates the relationship between Real-time computing and topics such as Tracking that intersect with problems in Bandwidth.
His Default gateway study is concerned with the larger field of Computer network.
His Computer network study combines topics from a wide range of disciplines, such as Aloha and Goodput.
Mo Li connects Popularity with Wireless sensor network in his study.
The study incorporates disciplines such as Node and Transmission in addition to Wireless sensor network.
Between 2017 and 2021, his most popular works were:
- Known and Unknown Facts of LoRa: Experiences from a Large-scale Measurement Study (87 citations)
- Precise Power Delay Profiling with Commodity Wi-Fi (74 citations)
- Urban Traffic Prediction from Mobility Data Using Deep Learning (47 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- The Internet
His primary scientific interests are in Wearable computer, Wearable technology, Mobile device, Antenna and Wireless sensor network.
The concepts of his Wearable computer study are interwoven with issues in Lifelog, Human–computer interaction and Biometrics.
His Wearable technology study incorporates themes from Android, Information privacy and Robustness.
His Antenna research is multidisciplinary, relying on both Dimension, Face, Tracking system, Real-time computing and Transceiver.
The various areas that Mo Li examines in his Wireless sensor network study include Default gateway and Transmission.
Mo Li focuses mostly in the field of Multipath propagation, narrowing it down to matters related to Channel capacity and, in some cases, Wireless.
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