What is he best known for?
The fields of study Guangjie Han is best known for:
- Computer network
- The Internet
- Telecommunications
His work in Statistics is not limited to one particular discipline; it also encompasses Data collection and Energy (signal processing).
His Statistics research extends to the thematically linked field of Energy (signal processing).
He performs integrative Wireless sensor network and Key distribution in wireless sensor networks research in his work.
His Key distribution in wireless sensor networks study typically links adjacent topics like Telecommunications.
He integrates Telecommunications with Wireless in his research.
Wireless and Wireless network are two areas of study in which he engages in interdisciplinary work.
He performs multidisciplinary study in Wireless network and Wireless sensor network in his work.
In his works, Guangjie Han performs multidisciplinary study on Distributed computing and Real-time computing.
Guangjie Han performs multidisciplinary study on Real-time computing and Distributed computing in his works.
His most cited work include:
- A survey on coverage and connectivity issues in wireless sensor networks (448 citations)
- Localization algorithms of Wireless Sensor Networks: a survey (365 citations)
- A Survey on Mobile Anchor Node Assisted Localization in Wireless Sensor Networks (338 citations)
What are the main themes of his work throughout his whole career to date
While working in this field, Guangjie Han studies both Computer network and Real-time computing.
Guangjie Han integrates many fields, such as Telecommunications and Wireless network, in his works.
Guangjie Han performs multidisciplinary study on Wireless network and Telecommunications in his works.
In his works, he performs multidisciplinary study on Wireless sensor network and Wireless.
In his works, he undertakes multidisciplinary study on Wireless and Wireless sensor network.
His work often combines Artificial intelligence and Algorithm studies.
He merges Algorithm with Artificial intelligence in his study.
Guangjie Han undertakes multidisciplinary investigations into Distributed computing and Operating system in his work.
In his articles, he combines various disciplines, including Operating system and Cloud computing.
Guangjie Han most often published in these fields:
- Computer network (68.20%)
- Telecommunications (42.53%)
- Wireless sensor network (41.76%)
What were the highlights of his more recent work (between 2020-2022)?
- Artificial intelligence (62.16%)
- Computer network (40.54%)
- Real-time computing (37.84%)
In recent works Guangjie Han was focusing on the following fields of study:
Guangjie Han integrates many fields, such as Artificial intelligence, Data mining, Algorithm and Machine learning, in his works.
His work often combines Algorithm and Artificial intelligence studies.
He incorporates Computer network and Wireless sensor network in his studies.
Guangjie Han applies his multidisciplinary studies on Wireless sensor network and Computer network in his research.
His work often combines Real-time computing and Distributed computing studies.
He undertakes multidisciplinary investigations into Distributed computing and Real-time computing in his work.
His Underwater study frequently draws connections to adjacent fields such as Oceanography.
Oceanography is often connected to Underwater acoustic communication in his work.
Underwater acoustic communication is closely attributed to Underwater in his study.
Between 2020 and 2022, his most popular works were:
- Intelligent Fault Diagnosis of Rotor-Bearing System Under Varying Working Conditions With Modified Transfer Convolutional Neural Network and Thermal Images (150 citations)
- Energy-Optimal Data Collection for Unmanned Aerial Vehicle-Aided Industrial Wireless Sensor Network-Based Agricultural Monitoring System: A Clustering Compressed Sampling Approach (40 citations)
- A Cloud Edge Collaborative Intelligence Method of Insulator String Defect Detection for Power IIoT (26 citations)
In his most recent research, the most cited works focused on:
- Statistics
- Fault detection and isolation
- Condition monitoring
His work in Scheduling (production processes) addresses subjects such as Mathematical optimization, which are connected to disciplines such as Greedy algorithm.
His study in Mathematical optimization extends to Greedy algorithm with its themes.
His work in Statistics is not limited to one particular discipline; it also encompasses Data collection, Leverage (statistics) and Cluster analysis.
Guangjie Han conducts interdisciplinary study in the fields of Data collection and Data mining through his research.
He performs multidisciplinary study on Data mining and Data set in his works.
In his research, he performs multidisciplinary study on Cluster analysis and Statistics.
His Artificial intelligence study frequently links to other fields, such as Random forest.
Guangjie Han applies his multidisciplinary studies on Algorithm and Data set in his research.
He undertakes multidisciplinary studies into Real-time computing and Computer network in his work.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
