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Yanfang Ye 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 Yanfang Ye 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+

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

Yanfang Ye 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 Yanfang Ye 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+

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

Overview

Yanfang Ye is affiliated with the University of Notre Dame in the United States. Their research primarily focuses on the field of Computer Science, with significant contributions in Artificial Intelligence, Information Systems, Signal Processing, Statistical and Nonlinear Physics, and Epidemiology.

The scientist's work covers several advanced topics including:

  • Advanced Graph Neural Networks
  • Topic Modeling
  • Recommender Systems and Techniques
  • Spam and Phishing Detection
  • Cybercrime and Law Enforcement Studies
  • Advanced Malware Detection Techniques
  • Complex Network Analysis Techniques

Yanfang Ye has co-authored frequently with several researchers, including:

  • Chuxu Zhang
  • Mingxuan Ju
  • Zheyuan Zhang
  • Zehong Wang
  • Shifu Hou

The scientist has published extensively in a range of venues. The most frequent venues for their publications include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • ACM Transactions on Knowledge Discovery from Data
  • Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Recent representative papers authored or co-authored by Yanfang Ye include:

  • "A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources," 2022, IEEE Transactions on Big Data
  • "Heterogeneous Graph Structure Learning for Graph Neural Networks," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Knowledge-aware Coupled Graph Neural Network for Social Recommendation," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "α-Satellite: An AI-Driven System and Benchmark Datasets for Dynamic COVID-19 Risk Assessment in the United States," 2020, IEEE Journal of Biomedical and Health Informatics
  • "TrustLLM: Trustworthiness in Large Language Models," 2024, arXiv (Cornell University)

Best Publications

  • Heterogeneous Graph Attention Network

    Xiao Wang;Houye Ji;Chuan Shi;Bai Wang

  • A Survey on Malware Detection Using Data Mining Techniques

    Yanfang Ye;Tao Li;Donald Adjeroh;S. Sitharama Iyengar

  • A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources

    Xiao Wang;Deyu Bo;Chuan Shi;Shaohua Fan

  • IMDS: intelligent malware detection system

    Yanfang Ye;Dingding Wang;Tao Li;Dongyi Ye

  • Heterogeneous Graph Structure Learning for Graph Neural Networks

    Jianan Zhao;Xiao Wang;Chuan Shi;Binbin Hu

  • HinDroid: An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information Network

    Shifu Hou;Yanfang Ye;Yangqiu Song;Melih Abdulhayoglu

  • An intelligent PE-malware detection system based on association mining

    Yanfang Ye;Dingding Wang;Tao Li;Dongyi Ye

  • Deep4MalDroid: A Deep Learning Framework for Android Malware Detection Based on Linux Kernel System Call Graphs

    Shifu Hou;Aaron Saas;Lifei Chen;Yanfang Ye

  • Malicious sequential pattern mining for automatic malware detection

    Yujie Fan;Yanfang Ye;Lifei Chen

  • CIMDS: Adapting Postprocessing Techniques of Associative Classification for Malware Detection

    Yanfang Ye;Tao Li;Qingshan Jiang;Youyu Wang

  • Knowledge-aware Coupled Graph Neural Network for Social Recommendation

    Chao Huang;Huance Xu;Yong Xu;Peng Dai

  • Graph Representation Learning: Foundations, Methods, Applications and Systems

    Wei Jin;Yao Ma;Yiqi Wang;Xiaorui Liu

  • Automatic malware categorization using cluster ensemble

    Yanfang Ye;Tao Li;Yong Chen;Qingshan Jiang

  • Automatic Detection of Helmet Uses for Construction Safety

    Abu H. M. Rubaiyat;Tanjin T. Toma;Masoumeh Kalantari-Khandani;Syed A. Rahman

  • SBMDS: an interpretable string based malware detection system using SVM ensemble with bagging

    Yanfang Ye;Lifei Chen;Dingding Wang;Tao Li

  • Combining file content and file relations for cloud based malware detection

    Yanfang Ye;Tao Li;Shenghuo Zhu;Weiwei Zhuang

  • DeepAM: a heterogeneous deep learning framework for intelligent malware detection

    Yanfang Ye;Lingwei Chen;Shifu Hou;William Hardy

  • Hyperbolic Graph Attention Network

    Yiding Zhang;Xiao Wang;Chuan Shi;Xunqiang Jiang

  • Network Schema Preserving Heterogeneous Information Network Embedding.

    Jianan Zhao;Xiao Wang;Chuan Shi;Zekuan Liu

  • Heterogeneous Graph Attention Network.

    Xiao Wang;Houye Ji;Chuan Shi;Bai Wang

Frequent Co-Authors

Chuan Shi
Chuan Shi Beijing University of Posts and Telecommunications
Tao Li
Tao Li Florida International University
xin li
xin li Louisiana State University
Shouhuai Xu
Shouhuai Xu University of Colorado Colorado Springs
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Kenneth A. Loparo
Kenneth A. Loparo Case Western Reserve University
Chang-Tien Lu
Chang-Tien Lu Virginia Tech
Yangqiu Song
Yangqiu Song Hong Kong University of Science and Technology
Zhao Qin
Zhao Qin Syracuse University
Pan Li
Pan Li Case Western Reserve University

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