World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
5684
World Ranking
10295
National Ranking
4319

Overview

Lijun Qian is affiliated with Prairie View A&M University in the United States. Their research spans several core fields including Computer Science and Engineering, with a focus on various subfields such as Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, and Polymers and Plastics.

The scientist's work covers a range of topics, particularly:

  • Advanced Neural Network Applications
  • Advanced Wireless Communication Technologies
  • Privacy-Preserving Technologies in Data
  • Flame retardant materials and properties
  • IoT and Edge/Fog Computing
  • Misinformation and Its Impacts
  • Spam and Phishing Detection

Lijun Qian has contributed extensively to academic literature, with publication venues including:

  • arXiv (Cornell University)
  • IEEE Access
  • Applied Sciences
  • Journal of Applied Polymer Science
  • IEEE Transactions on Wireless Communications

Recent papers by Lijun Qian demonstrate a focus on computing technologies and machine learning applications, featuring works such as:

  • Computation Offloading in Multi-Access Edge Computing: A Multi-Task Learning Approach (2020, IEEE Transactions on Mobile Computing)
  • Offloading Optimization in Edge Computing for Deep-Learning-Enabled Target Tracking by Internet of UAVs (2020, IEEE Internet of Things Journal)
  • Edge Intelligence for Autonomous Driving in 6G Wireless System: Design Challenges and Solutions (2021, IEEE Wireless Communications)
  • Adversarial Machine Learning in Wireless Communications Using RF Data: A Review (2022, IEEE Communications Surveys & Tutorials)
  • Two-Path Deep Semisupervised Learning for Timely Fake News Detection (2020, IEEE Transactions on Computational Social Systems)

The scientist collaborates regularly with a group of frequent coauthors including Xishuang Dong, Xiangfang Li, Bo Yang, Xuelin Cao, and Chau Yuen.

Best Publications

  • Optimal utility based multi-user throughput allocation subject to throughput constraints

    M. Andrews;L. Qian;A. Stolyar

  • Uplink scheduling in CDMA packet-data systems

    Krishnan Kumaran;Lijun Qian

  • Downlink power control in co-channel macrocell femtocell overlay

    Xiangfang Li;Lijun Qian;Deepak Kataria

  • Short-term load forecasting in smart grid: A combined CNN and K-means clustering approach

    Xishuang Dong;Lijun Qian;Lei Huang

  • Wormhole attacks detection in wireless ad hoc networks: a statistical analysis approach

    N. Song;L. Qian;X. Li

  • Computation Offloading in Multi-Access Edge Computing: A Multi-Task Learning Approach

    Bo Yang;Xuelin Cao;Joshua Bassey;Xiangfang Li

  • Uplink scheduling in CDMA packet-data systems

    Krishnan Kumaran;L. Qian

  • Edge Intelligence for Autonomous Driving in 6G Wireless System: Design Challenges and Solutions

    Bo Yang;Xuelin Cao;Kai Xiong;Chau Yuen

  • Offloading Optimization in Edge Computing for Deep-Learning-Enabled Target Tracking by Internet of UAVs

    Bo Yang;Xuelin Cao;Chau Yuen;Lijun Qian

  • Power Control for Cognitive Radio Ad Hoc Networks

    Lijun Qian;Xiangfang Li;J. Attia;Z. Gajic

  • Inference of gene regulatory networks using S-system: a unified approach

    H. Wang;L. Qian;E. Dougherty

  • Detecting and locating wormhole attacks in wireless ad hoc networks through statistical analysis of multi-path

    Lijun Qian;Ning Song;Xiangfang Li

  • Distributed Energy Efficient Spectrum Access in Wireless Cognitive Radio Sensor Networks

    Song Gao;Lijun Qian;D.R. Vaman

  • Detection of wormhole attacks in multi-path routed wireless ad hoc networks: a statistical analysis approach

    Lijun Qian;Ning Song;Xiangfang Li

  • Variance minimization stochastic power control in CDMA systems

    Lijun Qian;Zoran Gajic

  • Communication Infrastructure Design in Cyber Physical Systems with Applications in Smart Grids: A Hybrid System Framework

    Husheng Li;Aleksandar D. Dimitrovski;Ju Bin Song;Zhu Han

  • Mobile-Edge-Computing-Based Hierarchical Machine Learning Tasks Distribution for IIoT

    Bo Yang;Xuelin Cao;Xiangfang Li;Qinqing Zhang

  • IoT Devices Fingerprinting Using Deep Learning

    Hossein Jafari;Oluwaseyi Omotere;Damilola Adesina;Hsiang-Huang Wu

  • A multiclass classification method based on deep learning for named entity recognition in electronic medical records

    Xishuang Dong;Lijun Qian;Yi Guan;Lei Huang

  • Energy Efficient Adaptive Modulation in Wireless Cognitive Radio Sensor Networks

    Song Gao;Lijun Qian;D.R. Vaman;Qi Qu

  • Inference of Noisy Nonlinear Differential Equation Models for Gene Regulatory Networks Using Genetic Programming and Kalman Filtering

    Lijun Qian;Haixin Wang;E.R. Dougherty

  • Distributed energy efficient spectrum access in cognitive radio wireless ad hoc networks

    Song Gao;Lijun Qian;D. Vaman

Frequent Co-Authors

Edward R. Dougherty
Edward R. Dougherty Texas A&M University
Zhu Han
Zhu Han University of Houston
Husheng Li
Husheng Li University of Tennessee at Knoxville
Chau Yuen
Chau Yuen Nanyang Technological University
Riku Jantti
Riku Jantti Aalto University
Lei Huang
Lei Huang Sichuan University
Miao Pan
Miao Pan University of Houston
Fen Wu
Fen Wu North Carolina State University
yong liang guan
yong liang guan Nanyang Technological University
Marco Di Renzo
Marco Di Renzo CentraleSupélec

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