World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
5684
World Ranking
10293
National Ranking
4319

Lijun Qian publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Lijun Qian sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 237 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Lijun Qian D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Lijun Qian sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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

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

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science online can open doors to a wide range of flexible educational and professional opportunities. One major advantage is the availability of affordable online courses, allowing students to pursue their degree without the financial burden often associated with traditional on-campus programs.

Admission flexibility is another key consideration. Many institutions offer programs for students with different academic backgrounds, including online colleges that accept 2.0 gpa. This means more aspiring computer science professionals can get started, regardless of past academic challenges.

For learners looking for a fast-track approach, options like an accelerated computer science degree help students graduate quicker and enter the workforce sooner. Graduates are well-prepared for diverse career outcomes, including roles beyond traditional tech jobs. For example, interdisciplinary pathways, such as those discussed in what jobs can you get with an environmental science degree, highlight the versatility of a STEM background.

Ultimately, online computer science degrees provide flexible, accessible, and accelerated options that suit a variety of learners and career goals.

Best Scientists Citing Lijun Qian

Trending Scientists

Recently Published Articles