World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
21866
World Ranking
4684
National Ranking
2177

X. Rong Li 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 X. Rong Li 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: 311 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

X. Rong Li 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 X. Rong Li 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: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

X. Rong Li is a researcher affiliated with the University of New Orleans in the United States. Their primary fields of study encompass Computer Science and Engineering, with a significant focus on Artificial Intelligence, Computer Vision and Pattern Recognition, and Media Technology, among others.

Their research covers subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Computer Networks and Communications, and Aerospace Engineering. The topics frequently addressed in their work include Target Tracking and Data Fusion in Sensor Networks, Advanced Image Fusion Techniques, Gaussian Processes and Bayesian Inference, Infrared Target Detection Methodologies, Structural Health Monitoring Techniques, Distributed Sensor Networks and Detection Algorithms, and Image and Signal Denoising Methods.

Recent publications by X. Rong Li include the following:

  • "Automotive Radar-Based Vehicle Tracking Using Data-Region Association," 2021, IEEE Transactions on Intelligent Transportation Systems
  • "Bearings-Only Filtering Using Uncorrelated Conversion Based Filters," 2020, IEEE Transactions on Aerospace and Electronic Systems
  • "PromptFusion: Harmonized Semantic Prompt Learning for Infrared and Visible Image Fusion," 2024, IEEE/CAA Journal of Automatica Sinica
  • "Modeling and State Estimation of Linear Destination-Constrained Dynamic Systems," 2022, IEEE Transactions on Signal Processing
  • "Relative Euclidean Distance With Application to TOPSIS and Estimation Performance Ranking," 2020, IEEE Transactions on Systems Man and Cybernetics Systems

They frequently publish in venues such as:

  • IEEE Transactions on Aerospace and Electronic Systems
  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • Automatica
  • Proceedings of the AAAI Conference on Artificial Intelligence

Their frequent coauthors include Jinyuan Liu, Jian Lan, Risheng Liu, Zhiying Jiang, and Zhansheng Duan. Collaboration with these researchers has contributed to multiple publications and interdisciplinary advances.

Best Publications

  • Estimation with Applications to Tracking and Navigation

    Yaakov Bar-Shalom;Thiagalingam Kirubarajan;X.-Rong Li

  • Survey of maneuvering target tracking. Part I. Dynamic models

    X. Rong Li;V.P. Jilkov

  • Survey of maneuvering target tracking. Part V. Multiple-model methods

    X. Rong Li;V.P. Jilkov

  • Survey of maneuvering target tracking: III. Measurement models

    X. Rong Li;Vesselin P. Jilkov

  • Survey of maneuvering target tracking: dynamic models

    X. Rong Li;Vesselin P. Jilkov

  • A Survey of Maneuvering Target Tracking—Part III: Measurement Models

    X. Rong Li;Vesselin P. Jilkov

  • Survey of maneuvering target tracking: II. Ballistic target models

    X. Rong Li;Vesselin P. Jilkov

  • Tracking in clutter with nearest neighbor filters: analysis and performance

    X. Rong Li;Y. Bar-Shalom

  • Performance prediction of the interacting multiple model algorithm

    X.R. Li;Y. Bar-Shalom

  • Technical Communique: The optimality for the distributed Kalman filtering fusion with feedback

    Yunmin Zhu;Zhisheng You;Juan Zhao;Keshu Zhang

  • Multiple-model estimation with variable structure. III. Model-group switching algorithm

    X Rong Li;Xiaorong Zwi;Youmin Zwang

  • A recursive multiple model approach to noise identification

    X.R. Li;Y. Bar-Shalom

  • Hybrid Estimation Techniques

    X. Rong Li

  • Comments on "Unbiased converted measurements for tracking"

    Zhansheng Duan;Chongzhao Han;X. Rong Li

  • Tracking of Maneuvering Non-Ellipsoidal Extended Object or Target Group Using Random Matrix

    Jian Lan;X. Rong Li

  • Evaluation of estimation algorithms part I: incomprehensive measures of performance

    X. Rong Li;Zhanlue Zhao

  • Multiple-model estimation with variable structure- part VI: expected-mode augmentation

    X. Rong Li;V.P. Jilkov;J. Ru

  • Tracking of extended object or target group using random matrix: new model and approach

    Jian Lan;X. Rong Li

  • Stability evaluation and track life of the PDAF for tracking in clutter

    X.R. Li;Y. Bar-Shalom

  • Optimal sequential and distributed fusion for state estimation in cross-correlated noise

    Liping Yan;X. Rong Li;Yuanqing Xia;Mengyin Fu

  • Variable-Structure Multiple-Model Approach to Fault Detection, Identification, and Estimation

    J. Ru;X. Rong Li

Frequent Co-Authors

Yaakov Bar-Shalom
Yaakov Bar-Shalom University of Connecticut
Thiagalingam Kirubarajan
Thiagalingam Kirubarajan McMaster University
Youmin Zhang
Youmin Zhang Concordia University
Meiqin Liu
Meiqin Liu Zhejiang University
Kemin Zhou
Kemin Zhou Shandong University of Science and Technology
Mengyin Fu
Mengyin Fu Nanjing University of Science and Technology
Uwe D. Hanebeck
Uwe D. Hanebeck Karlsruhe Institute of Technology
Genshe Chen
Genshe Chen Intelligent Fusion Technology (United States)
Alexander G. Tartakovsky
Alexander G. Tartakovsky Moscow Institute of Physics and Technology
Yuanqing Xia
Yuanqing Xia Beijing Institute of Technology

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 in the USA opens up a wide array of online education and career opportunities. Today, many students are seeking flexible learning options, and choosing an online computer science degree is a great way to balance education and life commitments. These programs offer the same rigorous curriculum as on-campus courses but allow for faster completion and remote access.

In addition to computer science, students often consider related fields such as engineering and environmental sciences. Many institutions now provide online mechanical engineering degree programs, which focus on essential skills for tech-driven industries. Similarly, the availability of online environmental engineering degree options means students can launch impactful careers in sustainability, infrastructure, and design.

It’s important to explore your potential pathways after graduation. For those curious about the broader career landscape, there are numerous jobs for environmental science majors that range from research and policy to engineering and technology. By understanding these related degrees and their career outcomes, you can better map your personalized journey in STEM fields.

Best Scientists Citing X. Rong Li

Trending Scientists

Recently Published Articles