World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
7914
World Ranking
5706
National Ranking
759

Xingyu 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 Xingyu 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: 191 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Xingyu 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 Xingyu 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: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Overview

Xingyu Wang is affiliated with East China University of Science and Technology in China and specializes in the field of Engineering with a focus on Cognitive Neuroscience, Civil and Structural Engineering, Industrial and Manufacturing Engineering, Electrical and Electronic Engineering, and Molecular Biology as subfields. Their research spans multiple interdisciplinary areas relating to both biological systems and engineered infrastructures.

The scientist's main topics of work include:

  • EEG and Brain-Computer Interfaces
  • Advanced Memory and Neural Computing
  • Infrastructure Maintenance and Monitoring
  • Industrial Vision Systems and Defect Detection
  • Gaze Tracking and Assistive Technology
  • Computational Drug Discovery Methods
  • Protein Structure and Dynamics

Publication venues where Xingyu Wang has frequently contributed include:

  • Journal of Chemical Information and Modeling
  • Cognitive Neurodynamics
  • International Wound Journal
  • Journal of Neural Engineering
  • IEEE Transactions on Neural Systems and Rehabilitation Engineering

Recent scientific papers authored or co-authored by Xingyu Wang cover topics ranging from EEG classification improvements to molecular docking and infrastructure monitoring. Selected papers include:

  • Multi-View Multi-Scale Optimization of Feature Representation for EEG Classification Improvement, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • AA-Score: a New Scoring Function Based on Amino Acid-Specific Interaction for Molecular Docking, 2022, Journal of Chemical Information and Modeling
  • Novel channel selection model based on graph convolutional network for motor imagery, 2022, Cognitive Neurodynamics
  • Automatic Pavement Crack Detection in Multisource Fusion Images Using Similarity and Difference Features, 2023, IEEE Sensors Journal
  • Neural network-based prediction system for port throughput: A case study of Ningbo-Zhoushan Port, 2023, Research in Transportation Business & Management

Frequent coauthors collaborating with Xingyu Wang include:

  • Jing Jin
  • Andrzej Cichocki
  • Dongwei Qiu
  • Ren Xu
  • Yu Zhang

Best Publications

  • Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI

    Yu Zhang;Chang S. Nam;Guoxu Zhou;Jing Jin

  • L1-Regularized Multiway Canonical Correlation Analysis for SSVEP-Based BCI

    Yu Zhang;Guoxu Zhou;Jing Jin;Minjue Wang

  • Sparse Bayesian Classification of EEG for Brain–Computer Interface

    Yu Zhang;Guoxu Zhou;Jing Jin;Qibin Zhao

  • Optimizing spatial patterns with sparse filter bands for motor-imagery based brain–computer interface

    Yu Zhang;Guoxu Zhou;Jing Jin;Xingyu Wang

  • Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces

    Yu Zhang;Yu Wang;Guoxu Zhou;Jing Jin

  • Internal Feature Selection Method of CSP Based on L1-Norm and Dempster–Shafer Theory

    Jing Jin;Ruocheng Xiao;Ian Daly;Yangyang Miao

  • Sparse Bayesian Learning for Obtaining Sparsity of EEG Frequency Bands Based Feature Vectors in Motor Imagery Classification.

    Yu Zhang;Yu Wang;Jing Jin;Xingyu Wang

  • Sparse Group Representation Model for Motor Imagery EEG Classification

    Yong Jiao;Yu Zhang;Xun Chen;Erwei Yin

  • An adaptive P300-based control system.

    Jing Jin;Brendan Zachary Allison;Eric Sellers;Clemens Brunner

  • Multiway canonical correlation analysis for frequency components recognition in SSVEP-Based BCIs

    Yu Zhang;Guoxu Zhou;Qibin Zhao;Akinari Onishi

  • A novel BCI based on ERP components sensitive to configural processing of human faces

    Yu Zhang;Qibin Zhao;Jing Jin;Xingyu Wang

  • Improved SFFS method for channel selection in motor imagery based BCI

    Zhaoyang Qiu;Jing Jin;Hak-Keung Lam;Yu Zhang

  • A P300 brain-computer interface based on a modification of the mismatch negativity paradigm.

    Jing Jin;Eric W Sellers;Sijie Zhou;Yu Zhang

  • A new hybrid BCI paradigm based on P300 and SSVEP.

    Minjue Wang;Ian Daly;Brendan Z. Allison;Jing Jin

  • Spatial-Temporal Discriminant Analysis for ERP-Based Brain-Computer Interface

    Yu Zhang;Guoxu Zhou;Qibin Zhao;Jing Jin

  • The changing face of P300 BCIs: a comparison of stimulus changes in a P300 BCI involving faces, emotion, and movement.

    Jing Jin;Brendan Z. Allison;Brendan Z. Allison;Tobias Kaufmann;Andrea Kübler

  • Discriminative Feature Extraction via Multivariate Linear Regression for SSVEP-Based BCI

    Haiqiang Wang;Yu Zhang;Nicholas R. Waytowich;Dean J. Krusienski

  • Towards correlation-based time window selection method for motor imagery BCIs.

    Jiankui Feng;Erwei Yin;Jing Jin;Rami Saab

  • Robust Similarity Measurement Based on a Novel Time Filter for SSVEPs Detection.

    Jing Jin;Zhiqiang Wang;Ren Xu;Chang Liu

  • A combined brain-computer interface based on P300 potentials and motion-onset visual evoked potentials.

    Jing Jin;Brendan Z. Allison;Xingyu Wang;Christa Neuper;Christa Neuper

  • AN ERP-BASED BCI USING AN ODDBALL PARADIGM WITH DIFFERENT FACES AND REDUCED ERRORS IN CRITICAL FUNCTIONS

    Jing Jin;Brendan Z Allison;Yu Zhang;Xingyu Wang

  • Bispectrum-Based Channel Selection for Motor Imagery Based Brain-Computer Interfacing

    Jing Jin;Chang Liu;Ian Daly;Yangyang Miao

Frequent Co-Authors

Jing Jin
Jing Jin East China University of Science and Technology
Andrzej Cichocki
Andrzej Cichocki Systems Research Institute
Ian Daly
Ian Daly University of Essex
Guoxu Zhou
Guoxu Zhou Guangdong University of Technology
Brendan Z. Allison
Brendan Z. Allison University of California, San Diego
Christa Neuper
Christa Neuper University of Graz
Eric W. Sellers
Eric W. Sellers East Tennessee State University
Dewen Hu
Dewen Hu National University of Defense Technology
Akio Ikeda
Akio Ikeda Kyoto University

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

Studying Computer Science in the USA opens doors to a variety of online degree options and dynamic career pathways. Many students are looking for programs that offer flexibility and affordability while providing strong job prospects after graduation.

For those interested in engineering fields with a solid technical foundation, you can explore the cheapest mechanical engineering degree online to gain skills in design and manufacturing. Students who prefer a theoretical approach might consider an online bachelor's degree in physics, which builds critical thinking for research and innovation roles.

As data becomes essential across industries, data science is an in-demand field. If affordability is a priority, you can find the cheapest data science degree to start your analytics journey. Alternatively, pursuing electrical engineering can lead to diverse career outcomes—discover more about online electrical engineering career outcomes and the opportunities available with this versatile degree.

Whatever pathway you choose, accredited online programs can provide the knowledge and flexibility you need to advance in tech-driven industries throughout the USA and beyond.

Best Scientists Citing Xingyu Wang

Trending Scientists

Recently Published Articles