World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
9575
World Ranking
5134
National Ranking
2363

Xin 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 Xin 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 561 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Xin 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 Xin Wang sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Xin Wang is affiliated with Stony Brook University in the United States. Their research encompasses extensive contributions to the fields of computer science and engineering, with a particular focus on computer vision, artificial intelligence, and networking.

The main fields of study for Xin Wang include:

  • Computer Science
  • Engineering

The subfields they have contributed to are diverse, covering areas such as:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Control and Systems Engineering

Core topics of their research work include:

  • Network Security and Intrusion Detection
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image Processing Techniques
  • Anomaly Detection Techniques and Applications
  • Multimodal Machine Learning Applications
  • Advanced Vision and Imaging
  • Traffic Prediction and Management Techniques

Xin Wang has published extensively in several notable venues, including:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • IEEE/ACM Transactions on Networking
  • IEEE Internet of Things Journal
  • IEEE Transactions on Mobile Computing

Their recent papers demonstrate a range of interests in artificial intelligence and image analysis:

  • Eyes Tell All: Irregular Pupil Shapes Reveal GAN-Generated Faces (2022), presented at ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • DE-GAN: Domain Embedded GAN for High Quality Face Image Inpainting (2021), published in Pattern Recognition
  • A Bayesian Q-Learning Game for Dependable Task Offloading Against DDoS Attacks in Sensor Edge Cloud (2020), published in IEEE Internet of Things Journal
  • Robust Contrastive Learning against Noisy Views (2022), presented at 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • ReFormer: The Relational Transformer for Image Captioning (2022), presented at Proceedings of the 30th ACM International Conference on Multimedia

Frequent collaborators of Xin Wang include:

  • Gaogang Xie
  • Kun Xie
  • Jigang Wen
  • Kenli Li
  • Jiannong Cao

Best Publications

  • Few-Shot Object Detection via Feature Reweighting

    Bingyi Kang;Zhuang Liu;Xin Wang;Fisher Yu

  • Medium access control with a dynamic duty cycle for sensor networks

    P. Lin;C. Qiao;X. Wang

  • Machine Learning for Networking: Workflow, Advances and Opportunities

    Mowei Wang;Yong Cui;Xin Wang;Shihan Xiao

  • Clipper: a low-latency online prediction serving system

    Daniel Crankshaw;Xin Wang;Giulio Zhou;Michael J. Franklin

  • Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting

    Zulong Diao;Xin Wang;Dafang Zhang;Yingru Liu

  • FMTCP: a fountain code-based multipath transmission control protocol

    Yong Cui;Lian Wang;Xin Wang;Hongyi Wang

  • Pricing network resources for adaptive applications in a differentiated services network

    Xin Wang;H. Schulzrinne

  • Model and Protocol for Energy-Efficient Routing over Mobile Ad Hoc Networks

    Jinhua Zhu;Xin Wang

  • Comparison of Adaptive Internet Multimdia Applications

    Xin Wang;Henning Schulzrinne

  • An integrated resource negotiation, pricing, and QoS adaptation framework for multimedia applications

    Xin Wang;H. Schulzrinne

  • Recover Corrupted Data in Sensor Networks: A Matrix Completion Solution

    Kun Xie;Xueping Ning;Xin Wang;Dongliang Xie

  • Popularity-driven coordinated caching in named data networking

    Jun Li;Hao Wu;Bin Liu;Jianyuan Lu

  • TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning

    Xin Wang;Fisher Yu;Ruth Wang;Trevor Darrell

  • V2X Routing in a VANET Based on the Hidden Markov Model

    Lin Yao;Jie Wang;Xin Wang;Ailun Chen

  • Secure Routing Based on Social Similarity in Opportunistic Networks

    Lin Yao;Yanmao Man;Zhong Huang;Jing Deng

  • Opportunistic and cooperative spatial multiplexing in MIMO ad hoc networks

    Shan Chu;Xin Wang

  • Fast Tensor Factorization for Accurate Internet Anomaly Detection

    Kun Xie;Xiaocan Li;Xin Wang;Gaogang Xie

  • Opportunistic and cooperative spatial multiplexing in MIMO ad hoc networks

    Shan Chu;Xin Wang

  • An energy-efficient data-dissemination protocol in wireless sensor networks

    Zehua Zhou;Xiaojing Xang;Xin Wang;Jianping Pan

  • ACE: Adapting to Changing Environments for Semantic Segmentation

    Zuxuan Wu;Xin Wang;Joseph Gonzalez;Tom Goldstein

  • Hole Identification and Filling in $k$ -Times Extended Co-Prime Arrays for Highly Efficient DOA Estimation

    Xiaomeng Wang;Xin Wang

  • Optimal Resource Allocation for Reliable and Energy Efficient Cooperative Communications

    Kun Xie;Jiannong Cao;Xin Wang;Jigang Wen

  • On-Line Anomaly Detection With High Accuracy

    Kun Xie;Xiaocan Li;Xin Wang;Jiannong Cao

  • Wireless network virtualization

    Xin Wang;Prashant Krishnamurthy;David Tipper

  • Scalable data center multicast using multi-class Bloom Filter

    Dan Li;Henggang Cui;Yan Hu;Yong Xia

  • Pricing network resources for adaptive applications

    Xin Wang;Henning Schulzrinne

  • Sequential and adaptive sampling for matrix completion in network monitoring systems

    Kun Xie;Lele Wang;Xin Wang;Gaogang Xie

  • MPCE: A Maximum Probability Based Cross Entropy Loss Function for Neural Network Classification

    Unknown

  • Accurate Recovery of Internet Traffic Data: A Sequential Tensor Completion Approach

    Kun Xie;Lele Wang;Xin Wang;Gaogang Xie

  • FMTCP: A Fountain Code-Based Multipath Transmission Control Protocol

    Yong Cui;Xin Wang;Hongyi Wang;Guangjin Pan

  • QuickSync: Improving Synchronization Efficiency for Mobile Cloud Storage Services

    Yong Cui;Zeqi Lai;Xin Wang;Ningwei Dai

Frequent Co-Authors

Kun Xie
Kun Xie Hunan University
Yong Cui
Yong Cui Tsinghua University
Jiannong Cao
Jiannong Cao Hong Kong Polytechnic University
Henning Schulzrinne
Henning Schulzrinne Columbia University
Nageswara S. V. Rao
Nageswara S. V. Rao Oak Ridge National Laboratory
Tzi-cker Chiueh
Tzi-cker Chiueh Industrial Technology Research Institute
B. V. K. Vijaya Kumar
B. V. K. Vijaya Kumar Carnegie Mellon University
Yuanyuan Yang
Yuanyuan Yang Stony Brook University
Harish Viswanathan
Harish Viswanathan Nokia (United States)
Chunming Qiao
Chunming Qiao University at Buffalo, State University of New York

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