World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
9012
World Ranking
9584
National Ranking
1212

Xinyu Yang 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 Xinyu Yang 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: 206 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Xinyu Yang 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 Xinyu Yang 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Xinyu Yang is affiliated with Xi'an Jiaotong University in China. Their research spans multiple fields within science and engineering, with a significant focus on computer science and engineering disciplines.

Their main fields of study include:

  • Computer Science
  • Engineering

Within these broader domains, Xinyu Yang has contributed extensively to subfields such as:

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Molecular Biology
  • Computer Networks and Communications

Their principal topics of work reflect diverse technological and scientific challenges, including:

  • Music and Audio Processing
  • IoT and Edge/Fog Computing
  • Privacy-Preserving Technologies in Data
  • Music Technology and Sound Studies
  • Energy Load and Power Forecasting
  • Mobile Crowdsensing and Crowdsourcing
  • Meat and Animal Product Quality

Xinyu Yang's frequent coauthors include:

  • Peng Zhao
  • Hanlin Zhang
  • Jie Lin
  • Xuebin Ren
  • Shulei Ji

The researcher has published in several venues with notable frequency, including:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Frontiers in Endocrinology
  • Foods
  • Research Square (Research Square)

Selected recent papers authored or coauthored by Xinyu Yang illustrate the breadth of their expertise. These include:

  • GLP−1 receptor agonists for the treatment of obesity: Role as a promising approach, 2023, Frontiers in Endocrinology
  • Room-temperature self-healing and recyclable polyurethane elastomers with high strength and superior robustness based on dynamic double-crosslinked structure, 2023, Chemical Engineering Journal
  • LOWESS smoothing and Random Forest based GRU model: A short-term photovoltaic power generation forecasting method, 2022, Energy
  • Improving the Bi-LSTM model with XGBoost and attention mechanism: A combined approach for short-term power load prediction, 2022, Applied Soft Computing
  • A Comprehensive Survey on Local Differential Privacy toward Data Statistics and Analysis, 2020, Sensors

Best Publications

  • A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications

    Jie Lin;Wei Yu;Nan Zhang;Xinyu Yang

  • A Survey on the Edge Computing for the Internet of Things

    Wei Yu;Fan Liang;Xiaofei He;William Grant Hatcher

  • $ extsf{LoPub}$ : High-Dimensional Crowdsourced Data Publication With Local Differential Privacy

    Xuebin Ren;Chia-Mu Yu;Weiren Yu;Shusen Yang

  • On False Data Injection Attacks against Distributed Energy Routing in Smart Grid

    Jie Lin;Wei Yu;Xinyu Yang;Guobin Xu

  • On Optimal PMU Placement-Based Defense Against Data Integrity Attacks in Smart Grid

    Qingyu Yang;Dou An;Rui Min;Wei Yu

  • A Novel En-Route Filtering Scheme Against False Data Injection Attacks in Cyber-Physical Networked Systems

    Xinyu Yang;Jie Lin;Wei Yu;Paul-Marie Moulema

  • A Real-Time En-Route Route Guidance Decision Scheme for Transportation-Based Cyberphysical Systems

    Jie Lin;Wei Yu;Xinyu Yang;Qingyu Yang

  • Using social network theory for modeling human mobility

    Shusen Yang;Xinyu Yang;Chao Zhang;E Spyrou

  • Detection of false data injection attacks in smart-grid systems

    Po-Yu Chen;Shusen Yang;Julie A. McCann;Jie Lin

  • Review of data features-based music emotion recognition methods

    Xinyu Yang;Yizhuo Dong;Juan Li

  • Survey on Improving Data Utility in Differentially Private Sequential Data Publishing

    Xinyu Yang;Teng Wang;Xuebin Ren;Wei Yu

  • Bidirectional Convolutional Recurrent Sparse Network (BCRSN): An Efficient Model for Music Emotion Recognition

    Yizhuo Dong;Xinyu Yang;Xi Zhao;Juan Li

  • A Novel En-route Filtering Scheme against False Data Injection Attacks in Cyber-Physical Networked Systems

    Xinyu Yang;Jie Lin;Paul Moulema;Wei Yu

  • Preserving Dynamic Attention for Long-Term Spatial-Temporal Prediction

    Haoxing Lin;Rufan Bai;Weijia Jia;Xinyu Yang

  • Towards Multistep Electricity Prices in Smart Grid Electricity Markets

    Jie Lin;Wei Yu;Xinyu Yang

  • A Comprehensive Survey on Local Differential Privacy toward Data Statistics and Analysis.

    Teng Wang;Xuefeng Zhang;Jingyu Feng;Xinyu Yang

  • A hierarchical depression detection model based on vocal and emotional cues

    Yizhuo Dong;Xinyu Yang

  • A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions.

    Shulei Ji;Jing Luo;Xinyu Yang

  • LoPub: High-Dimensional Crowdsourced Data Publication with Local Differential Privacy

    Xuebin Ren;Chia-Mu Yu;Weiren Yu;Shusen Yang

  • Data Integrity Attacks Against Dynamic Route Guidance in Transportation-Based Cyber-Physical Systems: Modeling, Analysis, and Defense

    Jie Lin;Wei Yu;Nan Zhang;Xinyu Yang

  • SODA: Strategy-Proof Online Double Auction Scheme for Multimicrogrids Bidding

    Dou An;Qingyu Yang;Wei Yu;Xinyu Yang

  • A Comprehensive Survey on Local Differential Privacy Toward Data Statistics and Analysis in Crowdsensing.

    Teng Wang;Xuefeng Zhang;Jingyu Feng;Xinyu Yang

  • Modeling Decisions for Artificial Intelligence : 13th International Conference, MDAI 2016Sant Juliàde Lòria, Andorra, September 19–21, 2016: Proceedings

    Vicenç Torra;Yasuo Narukawa;Guillermo Navarro-Arribas;Cristina Yañez

Frequent Co-Authors

Wei Yu
Wei Yu Towson University
Xinwen Fu
Xinwen Fu University of Massachusetts Lowell
Wei Zhao
Wei Zhao Shenzhen Institutes of Advanced Technology
Julie A. McCann
Julie A. McCann Imperial College London
Benyuan Liu
Benyuan Liu University of Massachusetts Lowell
Yi Wang
Yi Wang Cornell University
Han Yu
Han Yu Nanyang Technological University
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Taku Komura
Taku Komura University of Edinburgh
Houbing Song
Houbing Song University of Maryland, Baltimore County

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