World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
14545
World Ranking
4249
National Ranking
568

Yijun Wang 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 Yijun Wang 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: 182 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Yijun Wang 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 Yijun Wang 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: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Yijun Wang is affiliated with the Chinese Academy of Sciences in China and has made contributions primarily in the field of Neuroscience. Their research spans several subfields including Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Artificial Intelligence, and Biomedical Engineering.

The scientist's work covers a range of topics such as EEG and Brain-Computer Interfaces, Neuroscience and Neural Engineering, Neural dynamics and brain function, Advanced Memory and Neural Computing, Gaze Tracking and Assistive Technology, Blind Source Separation Techniques, and Insurance, Mortality, Demography, Risk Management.

Yijun Wang has published extensively, with notable papers including:

  • BETA: A Large Benchmark Database Toward SSVEP-BCI Application, 2020, Frontiers in Neuroscience
  • Improving the Performance of Individually Calibrated SSVEP-BCI by Task-Discriminant Component Analysis, 2021, IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • Implementing Over 100 Command Codes for a High-Speed Hybrid Brain-Computer Interface Using Concurrent P300 and SSVEP Features, 2020, IEEE Transactions on Biomedical Engineering
  • Implantable intracortical microelectrodes: reviewing the present with a focus on the future, 2023, Microsystems & Nanoengineering
  • Combination of Augmented Reality Based Brain-Computer Interface and Computer Vision for High-Level Control of a Robotic Arm, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering

Frequent collaborators of Yijun Wang include Xiaorong Gao, Weihua Pei, Xiaogang Chen, Bingchuan Liu, and Nanlin Shi.

Yijun Wang's publications often appear in journals and venues such as the Journal of Neural Engineering, IEEE Transactions on Neural Systems and Rehabilitation Engineering, arXiv (Cornell University), SSRN Electronic Journal, and Frontiers in Neuroscience.

Best Publications

  • High-speed spelling with a noninvasive brain–computer interface

    Xiaogang Chen;Yijun Wang;Yijun Wang;Masaki Nakanishi;Xiaorong Gao

  • Enhancing Detection of SSVEPs for a High-Speed Brain Speller Using Task-Related Component Analysis.

    Masaki Nakanishi;Yijun Wang;Xiaogang Chen;Yu-Te Wang

  • A practical VEP-based brain-computer interface

    Yijun Wang;Ruiping Wang;Xiaorong Gao;Bo Hong

  • Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain-computer interface.

    Xiaogang Chen;Yijun Wang;Yijun Wang;Shangkai Gao;Tzyy-Ping Jung

  • Brain-Computer Interfaces Based on Visual Evoked Potentials

    Yijun Wang;Xiaorong Gao;Bo Hong;Chuan Jia

  • Common Spatial Pattern Method for Channel Selelction in Motor Imagery Based Brain-computer Interface

    Yijun Wang;Shangkai Gao;Xiaorong Gao

  • Visual and Auditory Brain–Computer Interfaces

    Shangkai Gao;Yijun Wang;Xiaorong Gao;Bo Hong

  • A Benchmark Dataset for SSVEP-Based Brain–Computer Interfaces

    Yijun Wang;Xiaogang Chen;Xiaorong Gao;Shangkai Gao

  • A HIGH-SPEED BRAIN SPELLER USING STEADY-STATE VISUAL EVOKED POTENTIALS

    Masaki Nakanishi;Yijun Wang;Yu Te Wang;Yasue Mitsukura

  • A Comparison Study of Canonical Correlation Analysis Based Methods for Detecting Steady-State Visual Evoked Potentials.

    Masaki Nakanishi;Yijun Wang;Yu-Te Wang;Tzyy-Ping Jung

  • A high-speed BCI based on code modulation VEP

    Guangyu Bin;Xiaorong Gao;Yijun Wang;Yun Li

  • Dry and Noncontact EEG Sensors for Mobile Brain–Computer Interfaces

    Y. M. Chi;Yu-Te Wang;Yijun Wang;C. Maier

  • VEP-based brain-computer interfaces: time, frequency, and code modulations [Research Frontier]

    Guangyu Bin;Xiaorong Gao;Yijun Wang;Bo Hong

  • Interface, interaction, and intelligence in generalized brain–computer interfaces

    Xiaorong Gao;Yijun Wang;Xiaogang Chen;Shangkai Gao

  • Visual stimulus design for high-rate SSVEP BCI

    Y. Wang;Y.-t. Wang;T.-p. Jung

  • A cell-phone-based brain-computer interface for communication in daily life.

    Yu-Te Wang;Yijun Wang;Tzyy-Ping Jung

  • BCI competition 2003-data set IV:An algorithm based on CSSD and FDA for classifying single-trial EEG

    Yijun Wang;Zhiguang Zhang;Yong Li;Xiaorong Gao

  • A Brain–Computer Interface Based on Miniature-Event-Related Potentials Induced by Very Small Lateral Visual Stimuli

    Minpeng Xu;Xiaolin Xiao;Yijun Wang;Hongzhi Qi

  • A study of the existing problems of estimating the information transfer rate in online brain-computer interfaces.

    Peng Yuan;Xiaorong Gao;Brendan Allison;Yijun Wang

  • BETA: A Large Benchmark Database Toward SSVEP-BCI Application.

    Bingchuan Liu;Xiaoshan Huang;Yijun Wang;Xiaogang Chen

  • A Collaborative Brain-Computer Interface for Improving Human Performance

    Yijun Wang;Tzyy-Ping Jung

  • VEP-Based Brain-Computer Interfaces: Time, Frequency, and Code Modulations

    Guangyu Bin;Xiaorong Gao;Yijun Wang;Bo Hong

Frequent Co-Authors

Tzyy-Ping Jung
Tzyy-Ping Jung University of California, San Diego
Xiaorong Gao
Xiaorong Gao Tsinghua University
Shangkai Gao
Shangkai Gao Tsinghua University
Chung-Kuan Cheng
Chung-Kuan Cheng University of California, San Diego
Han-Ping D. Shieh
Han-Ping D. Shieh National Yang Ming Chiao Tung University
Felipe A. Medeiros
Felipe A. Medeiros Duke University
Andreas K. Engel
Andreas K. Engel Universität Hamburg
Fei Wang
Fei Wang Chinese Academy of Sciences
Scott Makeig
Scott Makeig University of California, San Diego
Klaus Gramann
Klaus Gramann Technical University of Berlin

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

Expanding your career options with an online degree gives you flexibility and access to diverse fields. Starting with an associates degree online can be a great way to build foundational knowledge before transferring to a bachelor’s program or entering the workforce.

For those concerned about costs, finding the cheapest online college options allows students to manage tuition without sacrificing educational quality. Many online colleges offer competitive tuition rates, scholarships, and flexible payment options.

Admission requirements don’t have to be a barrier. Several online colleges that accept 2.0 gpa provide a second chance to learners who are eager to continue their studies and improve their academic records.

Computer Science isn’t the only promising field. Degrees in other areas, such as an environmental science degree, open the door to unique opportunities in sustainability, public policy, and research.

No matter your background or goals, online education makes it easier to access degrees that fit your academic path and career ambitions.

Best Scientists Citing Yijun Wang

Trending Scientists

Recently Published Articles