World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
7386
World Ranking
8016
National Ranking
3447

Yong Ge 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 Yong Ge 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: 125 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Yong Ge 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 Yong Ge 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Yong Ge is affiliated with the University of Arizona in the United States. Their research primarily spans the field of Computer Science, with a focus on Artificial Intelligence and Information Systems as major subfields. They also work within Automotive Engineering, Transportation, and Computer Vision and Pattern Recognition.

Their recent publication record includes research contributions in various prominent venues. Among these are:

  • DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation, 2020, IEEE Transactions on Knowledge and Data Engineering
  • DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation, 2020, arXiv (Cornell University)
  • Influence-Driven Data Poisoning for Robust Recommender Systems, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop, 2021, IEEE Transactions on Knowledge and Data Engineering
  • Multi-User Mobile Sequential Recommendation for Route Optimization, 2020, ACM Transactions on Knowledge Discovery from Data

The scientist frequently publishes in a range of venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the Annual Hawaii International Conference on System Sciences
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • ACM Transactions on Knowledge Discovery from Data

Yong Ge's collaborations include work with several frequent co-authors, among them:

  • Hui Xiong
  • Le Wu
  • Defu Lian
  • Enhong Chen
  • Wei Fan

The research topics they cover include:

  • Recommender Systems and Techniques
  • Advanced Graph Neural Networks
  • Reinforcement Learning in Robotics
  • Evolutionary Algorithms and Applications
  • Topic Modeling
  • Machine Learning and Data Classification
  • Advanced Bandit Algorithms Research

Best Publications

  • Time series classification using multi-channels deep convolutional neural networks

    Yi Zheng;Qi Liu;Enhong Chen;Yong Ge

  • An energy-efficient mobile recommender system

    Yong Ge;Hui Xiong;Alexander Tuzhilin;Keli Xiao

  • DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation

    Le Wu;Junwei Li;Peijie Sun;Richang Hong

  • Point-of-Interest Recommendations: Learning Potential Check-ins from Friends

    Huayu Li;Yong Ge;Richang Hong;Hengshu Zhu

  • Exploiting multi-channels deep convolutional neural networks for multivariate time series classification

    Yi Zheng;Qi Liu;Enhong Chen;Yong Ge

  • Personalized Travel Package Recommendation

    Qi Liu;Yong Ge;Zhongmou Li;Enhong Chen

  • Geography-Aware Sequential Location Recommendation

    Defu Lian;Yongji Wu;Yong Ge;Xing Xie

  • Mobile app recommendations with security and privacy awareness

    Hengshu Zhu;Hui Xiong;Yong Ge;Enhong Chen

  • A Taxi Driving Fraud Detection System

    Yong Ge;Hui Xiong;Chuanren Liu;Zhi-Hua Zhou

  • Feature selection for high-dimensional imbalanced data

    Liuzhi Yin;Yong Ge;Keli Xiao;Xuehua Wang

  • Short and sparse text topic modeling via self-aggregation

    Xiaojun Quan;Chunyu Kit;Yong Ge;Sinno Jialin Pan

  • A Cocktail Approach for Travel Package Recommendation

    Qi Liu;Enhong Chen;Hui Xiong;Yong Ge

  • Top-Eye: top-k evolving trajectory outlier detection

    Yong Ge;Hui Xiong;Zhi-hua Zhou;Hasan Ozdemir

  • Cost-aware travel tour recommendation

    Yong Ge;Qi Liu;Hui Xiong;Alexander Tuzhilin

  • GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization

    Defu Lian;Kai Zheng;Yong Ge;Longbing Cao

  • Modeling the Evolution of Users’ Preferences and Social Links in Social Networking Services

    Le Wu;Yong Ge;Qi Liu;Enhong Chen

  • P2P Lending Survey: Platforms, Recent Advances and Prospects

    Hongke Zhao;Yong Ge;Qi Liu;Guifeng Wang

  • Discovery of Ranking Fraud for Mobile Apps

    Hengshu Zhu;Hui Xiong;Yong Ge;Enhong Chen

  • Content-Aware Collaborative Filtering for Location Recommendation Based on Human Mobility Data

    Defu Lian;Yong Ge;Fuzheng Zhang;Nicholas Jing Yuan

  • Collaborative Neural Social Recommendation

    Le Wu;Peijie Sun;Richang Hong;Yong Ge

  • Exploiting Multi-Channels Deep Convolutional Neural Networks for Multivariate Time Series

    Yong Ge;Qi Liu;Enhong Chen;J. Leon Zhao

Frequent Co-Authors

Hui Xiong
Hui Xiong Rutgers, The State University of New Jersey
Enhong Chen
Enhong Chen University of Science and Technology of China
Qi Liu
Qi Liu University of Science and Technology of China
Richang Hong
Richang Hong Hefei University of Technology
Yanjie Fu
Yanjie Fu Arizona State University
Defu Lian
Defu Lian University of Science and Technology of China
Xing Xie
Xing Xie Microsoft Research Asia (China)
Alexander Tuzhilin
Alexander Tuzhilin New York University
Meng Wang
Meng Wang Hefei University of Technology
Nicholas Jing Yuan
Nicholas Jing Yuan Microsoft (United States)

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