What is he best known for?
The fields of study he is best known for:
- Computer network
- Artificial intelligence
- Algorithm
Yu Gu mainly focuses on Computer network, Wireless sensor network, Key distribution in wireless sensor networks, Real-time computing and Wireless.
His research in Computer network intersects with topics in Wireless ad hoc network and Distributed computing.
His studies deal with areas such as Energy consumption, Node, Duty cycle and Energy conservation as well as Wireless sensor network.
His Key distribution in wireless sensor networks research is multidisciplinary, incorporating perspectives in Scheduling and Energy harvesting.
His biological study spans a wide range of topics, including Compressed sensing, Robustness, Random projection and Energy storage.
Yu Gu mostly deals with Sensor node in his studies of Wireless.
His most cited work include:
- CDC : Compressive Data Collection for Wireless Sensor Networks (225 citations)
- Data forwarding in extremely low duty-cycle sensor networks with unreliable communication links (201 citations)
- Opportunistic flooding in low-duty-cycle wireless sensor networks with unreliable links (185 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Wireless sensor network, Computer network, Real-time computing, Distributed computing and Key distribution in wireless sensor networks.
His work deals with themes such as Wireless, Energy consumption, Column generation, Scheduling and Efficient energy use, which intersect with Wireless sensor network.
The study of Computer network is intertwined with the study of Duty cycle in a number of ways.
His Real-time computing study frequently involves adjacent topics like Embedded system.
Yu Gu has included themes like Time complexity, Quality of service, Linear programming and Algorithm design in his Distributed computing study.
Key distribution in wireless sensor networks is the subject of his research, which falls under Wireless network.
He most often published in these fields:
- Wireless sensor network (44.40%)
- Computer network (34.80%)
- Real-time computing (26.80%)
What were the highlights of his more recent work (between 2018-2021)?
- Key (6.40%)
- Human–computer interaction (5.60%)
- Real-time computing (26.80%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Key, Human–computer interaction, Real-time computing, Sleep and Wireless.
The concepts of his Key study are interwoven with issues in Distributed computing, Cache, Quality of service, Data access and Communication channel.
His Distributed computing study combines topics in areas such as Isolation, CPU cache and Benchmark.
His Real-time computing research focuses on Wearable computer and how it connects with Motion detection.
His research integrates issues of Fingerprint, Wireless sensor network, Computer hardware and Identification in his study of Wireless.
His Wireless sensor network study combines topics from a wide range of disciplines, such as Control reconfiguration, Smart grid, Electrical engineering, Voltage regulator and Mixture model.
Between 2018 and 2021, his most popular works were:
- Sleepy: Wireless Channel Data Driven Sleep Monitoring via Commodity WiFi Devices (13 citations)
- BeSense: Leveraging WiFi Channel Data and Computational Intelligence for Behavior Analysis (10 citations)
- EmoSense: Computational Intelligence Driven Emotion Sensing via Wireless Channel Data (9 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Artificial intelligence
- Algorithm
Yu Gu spends much of his time researching Key, Real-time computing, Wireless, Wireless sensor network and Communication channel.
His studies in Key integrate themes in fields like Incentive and Distributed computing.
His work carried out in the field of Distributed computing brings together such families of science as Data access, Benchmark, Quality of service and Cache.
His Real-time computing research integrates issues from Mixture model, Wearable computer and Channel data.
His work in Wireless addresses issues such as Fingerprint, which are connected to fields such as Cruise, Mobile computing and Symbol.
The Wireless sensor network study combines topics in areas such as Battery, Voltage regulation, Voltage, Control reconfiguration and Smart grid.
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