World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
11743
World Ranking
3878
National Ranking
1834

Xiangliang Zhang 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 Xiangliang Zhang 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: 321 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Xiangliang Zhang 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 Xiangliang Zhang 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: 57 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Overview

Xiangliang Zhang is affiliated with the University of Notre Dame in the United States and has contributed extensively to the field of computer science. Their research spans several subfields, including artificial intelligence, information systems, computer vision and pattern recognition, molecular biology, and signal processing.

The scientist's work covers a wide range of main topics, notably:

  • Topic Modeling
  • Advanced Graph Neural Networks
  • Recommender Systems and Techniques
  • Natural Language Processing Techniques
  • Domain Adaptation and Few-Shot Learning
  • Text and Document Classification Technologies
  • Multimodal Machine Learning Applications

Xiangliang Zhang has published a significant number of papers in several key venues, including:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Knowledge and Data Engineering
  • ACM Transactions on Information Systems
  • IEEE Transactions on Neural Networks and Learning Systems

Notable recent publications include:

  • "The soundscape of the Anthropocene ocean" (2021) in Science
  • "Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation" (2021) in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Air-writing via Receiver Array Based Ultrasonic Source Localization" (2020) in IEEE Transactions on Instrumentation and Measurement
  • "Fast-adapting and privacy-preserving federated recommender system" (2021) in The VLDB Journal
  • "Mapping full seismic waveforms to vertical velocity profiles by deep learning" (2021) in Geophysics

The scientist frequently collaborates with other researchers. Their most common co-authors include:

  • Guoxian Yu
  • Xin Gao
  • Carlotta Domeniconi
  • Shichao Pei
  • Hongzhi Yin

In addition to their research articles, Xiangliang Zhang has contributed to book publications. One such work is titled Machine Learning for Cyber Security, published in 2020 by Springer Science+Business Media.

Best Publications

  • Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation

    Xin Xia;Hongzhi Yin;Junliang Yu;Qinyong Wang

  • CreditCoin: A Privacy-Preserving Blockchain-Based Incentive Announcement Network for Communications of Smart Vehicles

    Lun Li;Jiqiang Liu;Lichen Cheng;Shuo Qiu

  • Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation

    Junliang Yu;Hongzhi Yin;Jundong Li;Qinyong Wang

  • An up-to-date comparison of state-of-the-art classification algorithms

    Chongsheng Zhang;Changchang Liu;Xiangliang Zhang;George Almpanidis

  • Exploring Permission-Induced Risk in Android Applications for Malicious Application Detection

    Wei Wang;Xing Wang;Dawei Feng;Jiqiang Liu

  • Decision Theory for Discrimination-Aware Classification

    Faisal Kamiran;Asim Karim;Xiangliang Zhang

  • Detecting Android malicious apps and categorizing benign apps with ensemble of classifiers

    Wei Wang;Yuanyuan Li;Xing Wang;Jiqiang Liu

  • Socially-Aware Self-Supervised Tri-Training for Recommendation

    Junliang Yu;Hongzhi Yin;Min Gao;Xin Xia

  • Use of unmanned aerial vehicles for efficient beach litter monitoring.

    Cecilia Martin;Stephen Parkes;Qiannan Zhang;Xiangliang Zhang

  • Co-Embedding Attributed Networks

    Zaiqiao Meng;Shangsong Liang;Hongyan Bao;Xiangliang Zhang

  • Air Writing via Receiver Array-Based Ultrasonic Source Localization

    Hui Chen;Tarig Ballal;Ali Hussein Muqaibel;Xiangliang Zhang

  • Controlling Attribute Effect in Linear Regression

    Toon Calders;Asim Karim;Faisal Kamiran;Wasif Ali

  • Privacy Risk Analysis and Mitigation of Analytics Libraries in the Android Ecosystem

    Xing Liu;Jiqiang Liu;Sencun Zhu;Wei Wang

  • A PCA-Based Change Detection Framework for Multidimensional Data Streams: Change Detection in Multidimensional Data Streams

    Abdulhakim A. Qahtan;Basma Alharbi;Suojin Wang;Xiangliang Zhang

  • Fast-adapting and privacy-preserving federated recommender system

    Qinyong Wang;Hongzhi Yin;Tong Chen;Junliang Yu

  • Semi-Supervised Entity Alignment via Knowledge Graph Embedding with Awareness of Degree Difference

    Shichao Pei;Lu Yu;Robert Hoehndorf;Xiangliang Zhang

  • Processing of massive audit data streams for real-time anomaly intrusion detection

    Wei Wang;Xiaohong Guan;Xiangliang Zhang

  • Autonomic intrusion detection

    Wei Wang;Thomas Guyet;René Quiniou;Marie-Odile Cordier

  • Attribute Normalization in Network Intrusion Detection

    Wei Wang;Xiangliang Zhang;Sylvain Gombault;Svein J. Knapskog

  • Data Streaming with Affinity Propagation

    Xiangliang Zhang;Cyril Furtlehner;Michèle Sebag

  • Profiling program behavior for anomaly intrusion detection based on the transition and frequency property of computer audit data

    Wei Wang;Xiaohong Guan;Xiangliang Zhang;Liwei Yang

Frequent Co-Authors

Carlotta Domeniconi
Carlotta Domeniconi George Mason University
Wei Wang
Wei Wang Beijing Jiaotong University
Hongzhi Yin
Hongzhi Yin University of Queensland
An Liu
An Liu Soochow University
Xiaofang Zhou
Xiaofang Zhou Hong Kong University of Science and Technology
Maozu Guo
Maozu Guo Beijing University of Civil Engineering and Architecture
Xiaohong Guan
Xiaohong Guan Xi'an Jiaotong University
Carlos M. Duarte
Carlos M. Duarte King Abdullah University of Science and Technology
Michèle Sebag
Michèle Sebag University of Paris-Saclay
Guanfeng Liu
Guanfeng Liu Macquarie 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

Exploring online degree options can open many doors for students interested in Computer Science careers. Many professionals choose further study and select from the best masters degree to get in order to boost their expertise and job prospects in specialized fields like artificial intelligence, cybersecurity, or data science.

If you’re looking for a shorter commitment, several 1 year associate degree programs online offer a fast and flexible pathway to enter the tech workforce or continue towards a bachelor’s degree. These options are ideal for those seeking quick skills and early career opportunities in IT support or programming.

Cost is an important factor, and there are cheap online degrees fast for students who want to minimize tuition expenses while earning recognized credentials.

Don’t let a lower GPA hold you back. The best colleges for low gpa enable a wider range of students to pursue their education and advance in the field of Computer Science.

Best Scientists Citing Xiangliang Zhang

Trending Scientists

Recently Published Articles