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Xin Wang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 52 5135 4995 2364 2284 561 9575

Xin Wang publications per year

The chart shows the history of publications by Xin Wang between 1992 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Xin Wang published across 35 years, from 1992 to 2026, averaging 23.7 papers a year. Output peaked at 87 publications in 2021. 58 of the 829 publications appeared in the last two years.

No. of publications
20 40 60 80
Bar chart. Horizontal axis: year, 1992 to 2026. Vertical axis: number of publications, 0 to 87. Peak 87 publications in 2021. 1992: 1 publication 1993: 0 publications 1994: 1 publication 1995: 0 publications 1996: 0 publications 1997: 4 publications 1998: 4 publications 1999: 5 publications 2000: 3 publications 2001: 2 publications 2002: 5 publications 2003: 2 publications 2004: 4 publications 2005: 6 publications 2006: 8 publications 2007: 11 publications 2008: 10 publications 2009: 12 publications 2010: 17 publications 2011: 23 publications 2012: 37 publications 2013: 34 publications 2014: 30 publications 2015: 33 publications 2016: 41 publications 2017: 39 publications 2018: 46 publications 2019: 52 publications 2020: 44 publications 2021: 87 publications 2022: 78 publications 2023: 65 publications 2024: 67 publications 2025: 57 publications 2026: 1 publication
1992 2026

829 publications in total across all disciplines

View publications per year as a table
Xin Wang: publications per year, 1992 to 2026
Year Publications
1992 1
1993 0
1994 1
1995 0
1996 0
1997 4
1998 4
1999 5
2000 3
2001 2
2002 5
2003 2
2004 4
2005 6
2006 8
2007 11
2008 10
2009 12
2010 17
2011 23
2012 37
2013 34
2014 30
2015 33
2016 41
2017 39
2018 46
2019 52
2020 44
2021 87
2022 78
2023 65
2024 67
2025 57
2026 1
Total 829
Download as CSV

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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 552–561 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38 561
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 52–53 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518 52
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

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
Gaogang Xie
Gaogang Xie Chinese Academy of Sciences
Yong Cui
Yong Cui Tsinghua University
Jiannong Cao
Jiannong Cao Hong Kong Polytechnic University
Nageswara S. V. Rao
Nageswara S. V. Rao Oak Ridge National Laboratory
Henning Schulzrinne
Henning Schulzrinne Columbia University
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
Chunming Qiao
Chunming Qiao University at Buffalo, State University of New York

External Links

Personal website of Xin Wang Google Scholar page

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Best Scientists Citing Xin Wang

Anfeng Liu

Anfeng Liu

Central South University

Publications: 24

Yong Cui

Yong Cui

Tsinghua University

Publications: 20

Tian Wang

Tian Wang

Beijing Normal University

Publications: 17

Mohamed-Slim Alouini

Mohamed-Slim Alouini

King Abdullah University of Science and Technology

Publications: 14

Gabriel-Miro Muntean

Gabriel-Miro Muntean

Dublin City University

Publications: 13

Kun Xie

Kun Xie

Hunan University

Publications: 13

Yuanyuan Yang

Yuanyuan Yang

Stony Brook University

Publications: 12

Guojun Wang

Guojun Wang

Guangzhou University

Publications: 11

Victor C. M. Leung

Victor C. M. Leung

Shenzhen University

Publications: 10

Keqin Li

Keqin Li

State University of New York at New Paltz

Publications: 10

Jie Wu

Jie Wu

Temple University

Publications: 9

Mohsen Guizani

Mohsen Guizani

Mohamed bin Zayed University of Artificial Intelligence

Publications: 9

Xiang-Yang Li

Xiang-Yang Li

University of Science and Technology of China

Publications: 8

Han-Chieh Chao

Han-Chieh Chao

Fo Guang University

Publications: 8

Hossam S. Hassanein

Hossam S. Hassanein

Queen's University

Publications: 8

Alagan Anpalagan

Alagan Anpalagan

Toronto Metropolitan University

Publications: 8

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