What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- Operating system
Bin Guo mainly focuses on Apoptosis, Cancer research, Molecular biology, Mobile telephony and Social network.
Bin Guo has researched Apoptosis in several fields, including Mitochondrion and Familial adenomatous polyposis.
His Cancer research research is multidisciplinary, relying on both Calcitriol, Diindolylmethane, Cell growth, 3,3'-Diindolylmethane and microRNA.
His Molecular biology research is multidisciplinary, incorporating perspectives in Amino acid, Calcitriol receptor and Mutant.
He interconnects Bluetooth, Online and offline and Set in the investigation of issues within Social network.
As part of one scientific family, Bin Guo deals mainly with the area of Key, narrowing it down to issues related to the Payment, and often Data mining and Artificial intelligence.
His most cited work include:
- Humanin peptide suppresses apoptosis by interfering with Bax activation (450 citations)
- Mobile Crowd Sensing and Computing: The Review of an Emerging Human-Powered Sensing Paradigm (445 citations)
- Opportunistic IoT: Exploring the harmonious interaction between human and the internet of things (233 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Artificial intelligence, Data science, Human–computer interaction, Machine learning and World Wide Web.
His Artificial intelligence research incorporates elements of Data mining, Computer vision and Set.
His Data science research incorporates themes from Social media, Field and Social network.
His specific area of interest is Social media, where Bin Guo studies Microblogging.
In the field of Human–computer interaction, his study on Ubiquitous computing overlaps with subjects such as Crowdsensing.
His work on Mobile device and The Internet as part of general World Wide Web study is frequently connected to Mobile telephony, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
He most often published in these fields:
- Artificial intelligence (20.36%)
- Data science (14.97%)
- Human–computer interaction (14.37%)
What were the highlights of his more recent work (between 2019-2021)?
- Artificial intelligence (20.36%)
- Machine learning (10.78%)
- Deep learning (4.79%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Artificial intelligence, Machine learning, Deep learning, Human–computer interaction and Data science.
His Artificial intelligence research is multidisciplinary, incorporating elements of Radar, Doppler radar and Computer engineering.
The study incorporates disciplines such as Feature extraction and Representation in addition to Machine learning.
His Human–computer interaction study incorporates themes from Development, Mobile device and Behavior recognition.
His Data science research includes themes of Text generation, Field, Intelligent sensor, The Internet and Social media.
Bin Guo has included themes like Crowd psychology and Social network in his Social media study.
Between 2019 and 2021, his most popular works were:
- HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing (27 citations)
- Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities (23 citations)
- VTracer: When Online Vehicle Trajectory Compression Meets Mobile Edge Computing (16 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Operating system
Artificial intelligence, Data science, Field, Key and Machine learning are his primary areas of study.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Wearable computer and Authentication.
In his study, Crowd psychology, Crowdsourcing and Social network is inextricably linked to Social media, which falls within the broad field of Data science.
The various areas that Bin Guo examines in his Field study include Wireless, Wireless sensor network, Intelligent sensor, The Internet and Consumer behaviour.
His studies deal with areas such as Fake news and Knowledge acquisition as well as Key.
Machine learning is closely attributed to Point of interest in his research.
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.
