H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 36 Citations 6,820 211 World Ranking 5617 National Ranking 532

Overview

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.

Top Publications

Humanin peptide suppresses apoptosis by interfering with Bax activation

Bin Guo;Dayong Zhai;Edelmira Cabezas;Kate Welsh.
Nature (2003)

655 Citations

Mobile Crowd Sensing and Computing: The Review of an Emerging Human-Powered Sensing Paradigm

Bin Guo;Zhu Wang;Zhiwen Yu;Yu Wang.
ACM Computing Surveys (2015)

654 Citations

From participatory sensing to Mobile Crowd Sensing

Bin Guo;Zhiwen Yu;Xingshe Zhou;Daqing Zhang.
international conference on pervasive computing (2014)

429 Citations

Opportunistic IoT: Exploring the harmonious interaction between human and the internet of things

Bin Guo;Daqing Zhang;Zhu Wang;Zhiwen Yu.
Journal of Network and Computer Applications (2013)

335 Citations

Activity recognition on an accelerometer embedded mobile phone with varying positions and orientations

Lin Sun;Daqing Zhang;Bin Li;Bin Guo.
ubiquitous intelligence and computing (2010)

321 Citations

Personalized Travel Package With Multi-Point-of-Interest Recommendation Based on Crowdsourced User Footprints

Zhiwen Yu;Huang Xu;Zhe Yang;Bin Guo.
IEEE Transactions on Human-Machine Systems (2016)

220 Citations

Downregulation of miR-205 and miR-31 confers resistance to chemotherapy-induced apoptosis in prostate cancer cells

N Bhatnagar;X Li;S K R Padi;Q Zhang.
Cell Death and Disease (2010)

208 Citations

The Emergence of Social and Community Intelligence

Daqing Zhang;Bin Guo;Zhiwen Yu.
IEEE Computer (2011)

206 Citations

Bcl-G, a Novel Pro-apoptotic Member of the Bcl-2 Family

Bin Guo;Adam Godzik;John C. Reed.
Journal of Biological Chemistry (2001)

187 Citations

From Participatory Sensing to Mobile Crowd Sensing

Bin Guo;Zhiwen Yu;Daqing Zhang;Xingshe Zhou.
arXiv: Human-Computer Interaction (2014)

170 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

If you think any of the details on this page are incorrect, let us know.

Contact us

Top Scientists Citing Bin Guo

Daqing Zhang

Daqing Zhang

Télécom SudParis

Publications: 90

Anastasia Khvorova

Anastasia Khvorova

University of Massachusetts Medical School

Publications: 59

Pinchas Cohen

Pinchas Cohen

University of Southern California

Publications: 38

John C. Reed

John C. Reed

Sanford Burnham Prebys Medical Discovery Institute

Publications: 28

Zhiwen Yu

Zhiwen Yu

Northwestern Polytechnical University

Publications: 27

Yu Wang

Yu Wang

Temple University

Publications: 26

Peixuan Guo

Peixuan Guo

The Ohio State University

Publications: 25

Hui Xiong

Hui Xiong

Rutgers, The State University of New Jersey

Publications: 20

Dusit Niyato

Dusit Niyato

Nanyang Technological University

Publications: 17

Gang Pan

Gang Pan

Zhejiang University

Publications: 17

Feng Xia

Feng Xia

Federation University Australia

Publications: 16

Burak Kantarci

Burak Kantarci

University of Ottawa

Publications: 15

Jie Wu

Jie Wu

Temple University

Publications: 15

Huadong Ma

Huadong Ma

Beijing University of Posts and Telecommunications

Publications: 14

Chi Harold Liu

Chi Harold Liu

Beijing Institute of Technology

Publications: 13

Something went wrong. Please try again later.