World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
14328
World Ranking
4739
National Ranking
634

Xue 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 Xue 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: 186 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Xue 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 Xue 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: 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

Xue Yang is affiliated with Shanghai Jiao Tong University in China and has contributed extensively to the field of engineering, with a primary focus on transportation and remote sensing applications. Their research encompasses a variety of subfields including transportation, building and construction, artificial intelligence, ocean engineering, and environmental engineering.

The scientist's work covers several main topics, notably:

  • Traffic Prediction and Management Techniques
  • Human Mobility and Location-Based Analysis
  • Automated Road and Building Extraction
  • Remote Sensing and LiDAR Applications
  • Data Management and Algorithms
  • Remote-Sensing Image Classification
  • Transportation Planning and Optimization

Xue Yang has published articles in multiple respected venues. The most frequent publication venues include:

  • DOAJ (DOAJ: Directory of Open Access Journals)
  • ISPRS International Journal of Geo-Information
  • IEEE Transactions on Intelligent Transportation Systems
  • International Journal of Digital Earth
  • Transactions in GIS

Among recent papers authored by Xue Yang are:

  • "Semantic segmentation for remote sensing images based on an AD-HRNet model" (2022), published in International Journal of Digital Earth
  • "Road intersection identification from crowdsourced big trace data using Mask-RCNN" (2021), published in Transactions in GIS

Other significant papers in the broader research network where Xue Yang's frequent co-authors contributed include:

  • "Building Change Detection for Remote Sensing Images Using a Dual-Task Constrained Deep Siamese Convolutional Network Model" (2020), IEEE Geoscience and Remote Sensing Letters
  • "FTPG: A Fine-Grained Traffic Prediction Method With Graph Attention Network Using Big Trace Data" (2021), IEEE Transactions on Intelligent Transportation Systems
  • "Open-pit Mining Area Segmentation of Remote Sensing Images Based on DUSegNet" (2021), Journal of the Indian Society of Remote Sensing

Frequent collaborators in Xue Yang's research environment include Luliang Tang, Zihan Kan, Qingquan Li, Mengyuan Fang, and Chang Ren. These connections highlight a collaborative network primarily focused on intelligent transportation systems, remote sensing, and data-driven analysis techniques.

Best Publications

  • Using directional antennas for medium access control in ad hoc networks

    Romit Roy Choudhury;Xue Yang;Ram Ramanathan;Nitin H. Vaidya

  • R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

    Xue Yang;Junchi Yan;Ziming Feng;Tao He

  • A vehicle-to-vehicle communication protocol for cooperative collision warning

    X. Yang;L. Liu;N.H. Vaidya;F. Zhao

  • SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects

    Xue Yang;Jirui Yang;Junchi Yan;Yue Zhang

  • Building Change Detection for Remote Sensing Images Using a Dual-Task Constrained Deep Siamese Convolutional Network Model

    Yi Liu;Chao Pang;Zongqian Zhan;Xiaomeng Zhang

  • Arbitrary-Oriented Object Detection with Circular Smooth Label

    Xue Yang;Junchi Yan

  • Automatic Ship Detection of Remote Sensing Images from Google Earth in Complex Scenes Based on Multi-Scale Rotation Dense Feature Pyramid Networks

    Xue Yang;Hao Sun;Kun Fu;Jirui Yang

  • A realistic evaluation and comparison of indoor location technologies: experiences and lessons learned

    Dimitrios Lymberopoulos;Jie Liu;Xue Yang;Romit Roy Choudhury

  • On physical carrier sensing in wireless ad hoc networks

    X. Yang;N. Vaidya

  • Dense Label Encoding for Boundary Discontinuity Free Rotation Detection

    Xue Yang;Liping Hou;Yue Zhou;Wentao Wang

  • On designing MAC protocols for wireless networks using directional antennas

    R.R. Choudhury;Xue Yang;R. Ramanathan;N.H. Vaidya

  • A Densely Connected End-to-End Neural Network for Multiscale and Multiscene SAR Ship Detection

    Jiao Jiao;Yue Zhang;Hao Sun;Xue Yang

  • SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

    Xue Yang;Junchi Yan;Xiaokang Yang;Jin Tang

  • Automatic Ship Detection in Remote Sensing Images from Google Earth of Complex Scenes Based on Multiscale Rotation Dense Feature Pyramid Networks

    Xue Yang;Hao Sun;Kun Fu;Jirui Yang

  • Learning Modulated Loss for Rotated Object Detection

    Wen Qian;Xue Yang;Silong Peng;Junchi Yan

  • SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects

    Xue Yang;Jirui Yang;Junchi Yan;Yue Zhang

  • Priority scheduling in wireless ad hoc networks

    Xue Yang;Nitin Vaidya

  • A wakeup scheme for sensor networks: achieving balance between energy saving and end-to-end delay

    Xue Yang;N.H. Vaidya

  • Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence

    Xue Yang;Xiaojiang Yang;Jirui Yang;Qi Ming

  • Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss

    Xue Yang;Junchi Yan;Qi Ming;Wentao Wang

  • Vehicle-to-vehicle communication protocol

    Jie Liu;Xue Yang;Feng Zhao

  • Position Detection and Direction Prediction for Arbitrary-Oriented Ships via Multitask Rotation Region Convolutional Neural Network

    Xue Yang;Hao Sun;Xian Sun;Menglong Yan

  • Microsoft Indoor Localization Competition: Experiences and Lessons Learned

    Dimitrios Lymberopoulos;Jie Liu;Xue Yang;Romit Roy Choudhury

Frequent Co-Authors

Hock-Hai Teo
Hock-Hai Teo National University of Singapore
Nitin H. Vaidya
Nitin H. Vaidya Georgetown University
Junchi Yan
Junchi Yan Shanghai Jiao Tong University
Qingquan Li
Qingquan Li Shenzhen University
Kun Fu
Kun Fu University of Chinese Academy of Sciences
Xian Sun
Xian Sun University of Chinese Academy of Sciences
Shengjun Wang
Shengjun Wang Jiangsu University
Duu-Jong Lee
Duu-Jong Lee National Taiwan University
Romit Roy Choudhury
Romit Roy Choudhury University of Illinois at Urbana-Champaign
Anthony LaMarca
Anthony LaMarca Intel (United States)

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