H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 65 Citations 14,849 683 World Ranking 389 National Ranking 37

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer network
  • Control theory

Lei Guo focuses on Control theory, Artificial intelligence, Nonlinear system, Pattern recognition and Adaptive control. His Control theory study frequently draws connections between related disciplines such as Control engineering. His Artificial intelligence study combines topics in areas such as Machine learning, Remote sensing and Computer vision.

The study incorporates disciplines such as Observer, Mathematical optimization and Fuzzy logic in addition to Nonlinear system. Lei Guo combines subjects such as Object detection and Deep learning with his study of Pattern recognition. The concepts of his Adaptive control study are interwoven with issues in Stability, Rate of convergence, Least squares and Stability.

His most cited work include:

  • Object Detection in Optical Remote Sensing Images Based on Weakly Supervised Learning and High-Level Feature Learning (481 citations)
  • When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs (414 citations)
  • Cutting sp2clusters in graphene sheets into colloidal graphene quantum dots with strong green fluorescence (330 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Control theory, Computer network, Artificial intelligence, Nonlinear system and Distributed computing. His work on Control theory is being expanded to include thematically relevant topics such as Control engineering. His Computer network research is multidisciplinary, incorporating perspectives in Traffic grooming, Wavelength-division multiplexing and Backup.

His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning, Computer vision and Pattern recognition. His Nonlinear system research incorporates themes from Control system and Mathematical optimization. His biological study spans a wide range of topics, including Algorithm and Network topology.

He most often published in these fields:

  • Control theory (25.33%)
  • Computer network (25.47%)
  • Artificial intelligence (15.89%)

What were the highlights of his more recent work (between 2018-2021)?

  • Control theory (25.33%)
  • Artificial intelligence (15.89%)
  • Nonlinear system (12.70%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Control theory, Artificial intelligence, Nonlinear system, Control theory and Computer network. His Disturbance, Tracking error, Actuator, Robustness and Disturbance observer investigations are all subjects of Control theory research. His work carried out in the field of Artificial intelligence brings together such families of science as Functional magnetic resonance imaging, Computer vision and Pattern recognition.

His Control theory study focuses mostly on PID controller and Adaptive control. His research on Computer network often connects related topics like The Internet.

Between 2018 and 2021, his most popular works were:

  • Mobile Edge Computing-Enabled Internet of Vehicles: Toward Energy-Efficient Scheduling (57 citations)
  • Temporal, Functional and Spatial Big Data Computing Framework for Large-Scale Smart Grid (47 citations)
  • Joint Computing and Caching in 5G-Envisioned Internet of Vehicles: A Deep Reinforcement Learning-Based Traffic Control System (41 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer network
  • Statistics

Control theory, Artificial intelligence, Control theory, Nonlinear system and Computer network are his primary areas of study. As part of his studies on Control theory, Lei Guo frequently links adjacent subjects like Convex optimization. His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning, Functional magnetic resonance imaging and Pattern recognition.

Within one scientific family, Lei Guo focuses on topics pertaining to Neuroimaging under Pattern recognition, and may sometimes address concerns connected to Discriminative model. Lei Guo has included themes like PID controller, Disturbance and Robustness in his Nonlinear system study. His studies in Computer network integrate themes in fields like Throughput and The Internet.

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.

Best Publications

Object Detection in Optical Remote Sensing Images Based on Weakly Supervised Learning and High-Level Feature Learning

Junwei Han;Dingwen Zhang;Gong Cheng;Lei Guo.
IEEE Transactions on Geoscience and Remote Sensing (2015)

585 Citations

Measurements, analysis, and modeling of BitTorrent-like systems

Lei Guo;Songqing Chen;Zhen Xiao;Enhua Tan.
internet measurement conference (2005)

561 Citations

When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs

Gong Cheng;Ceyuan Yang;Xiwen Yao;Lei Guo.
IEEE Transactions on Geoscience and Remote Sensing (2018)

518 Citations

Tag-based social interest discovery

Xin Li;Lei Guo;Yihong Eric Zhao.
the web conference (2008)

510 Citations

Cutting sp2clusters in graphene sheets into colloidal graphene quantum dots with strong green fluorescence

Dengyu Pan;Lei Guo;Jingchun Zhang;Chen Xi.
Journal of Materials Chemistry (2012)

501 Citations

Composite disturbance-observer-based control and H∞ control for complex continuous models

Xinjiang Wei;Lei Guo.
International Journal of Robust and Nonlinear Control (2010)

410 Citations

Background Prior-Based Salient Object Detection via Deep Reconstruction Residual

Junwei Han;Dingwen Zhang;Xintao Hu;Lei Guo.
IEEE Transactions on Circuits and Systems for Video Technology (2015)

401 Citations

Stabilization of switched linear systems

Daizhan Cheng;Lei Guo;Yuandan Lin;Yuan Wang.
IEEE Transactions on Automatic Control (2005)

365 Citations

Multi-class geospatial object detection and geographic image classification based on collection of part detectors

Gong Cheng;Junwei Han;Peicheng Zhou;Lei Guo.
Isprs Journal of Photogrammetry and Remote Sensing (2014)

349 Citations

Composite disturbance-observer-based control and terminal sliding mode control for non-linear systems with disturbances

Xinjiang Wei;Lei Guo.
International Journal of Control (2009)

312 Citations

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Best Scientists Citing Lei Guo

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 155

Tianming Liu

Tianming Liu

University of Georgia

Publications: 106

Junwei Han

Junwei Han

Northwestern Polytechnical University

Publications: 81

Zidong Wang

Zidong Wang

Brunel University London

Publications: 78

Liangpei Zhang

Liangpei Zhang

Wuhan University

Publications: 53

Ju H. Park

Ju H. Park

Yeungnam University

Publications: 49

Jun Zhao

Jun Zhao

Northeastern University

Publications: 44

Huai-Ning Wu

Huai-Ning Wu

Beihang University

Publications: 42

Daizhan Cheng

Daizhan Cheng

Chinese Academy of Sciences

Publications: 40

Fuad E. Alsaadi

Fuad E. Alsaadi

King Abdulaziz University

Publications: 39

Peng Shi

Peng Shi

University of Adelaide

Publications: 39

Xuelong Li

Xuelong Li

Northwestern Polytechnical University

Publications: 39

Songyuan Dai

Songyuan Dai

North China Electric Power University

Publications: 37

Zhaolong Ning

Zhaolong Ning

Chongqing University of Posts and Telecommunications

Publications: 37

Licheng Jiao

Licheng Jiao

Xidian University

Publications: 35

Xiaoqiang Lu

Xiaoqiang Lu

Chinese Academy of Sciences

Publications: 34

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