World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
77
Citations
26351
World Ranking
1257
National Ranking
169

Xiaofang Zhou 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 Xiaofang Zhou 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: 595 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Xiaofang Zhou 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 Xiaofang Zhou 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: 77 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2018 - IEEE Fellow For advancements in database query processing

Overview

Xiaofang Zhou is affiliated with the Hong Kong University of Science and Technology in China. Their research contributions primarily span the field of computer science, with a substantial focus on artificial intelligence, computer vision and pattern recognition, signal processing, information systems, and computer networks and communications.

Their work addresses a variety of topics including data management and algorithms, advanced graph neural networks, recommender systems and techniques, topic modeling, human mobility and location-based analysis, traffic prediction and management techniques, and privacy-preserving technologies in data.

Frequent collaborators in Zhou's research include Wen Hua, Lei Li, Guanfeng Liu, Kai Zheng, and Mengxuan Zhang.

Common publication venues for Zhou's work comprise arXiv (Cornell University), IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment, World Wide Web, and The VLDB Journal.

Some of the recent research papers authored or co-authored by Zhou include:

  • Unsupervised Feature Selection Using Nonnegative Spectral Analysis, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation, 2020, IEEE Transactions on Knowledge and Data Engineering
  • Advances in Oral Drug Delivery Systems: Challenges and Opportunities, 2023, Pharmaceutics
  • Overcoming Data Sparsity in Group Recommendation, 2020, IEEE Transactions on Knowledge and Data Engineering
  • Thermodynamic and exergetic analysis of a novel multi-generation system based on SOFC, micro-gas turbine, s-CO2 and lithium bromide absorption refrigerator, 2022, Applied Thermal Engineering

Xiaofang Zhou was recognized as an IEEE Fellow in 2018 for advancements in database query processing.

Best Publications

  • Infrared Patch-Image Model for Small Target Detection in a Single Image

    Chenqiang Gao;Deyu Meng;Yi Yang;Yongtao Wang

  • L2,1-Norm Regularized Discriminative Feature Selection for Unsupervised

    Yi Yang;Heng Tao Shen;Zhigang Ma;Zi Huang

  • l 2,1 -norm regularized discriminative feature selection for unsupervised learning

    Yi Yang;Heng Tao Shen;Zhigang Ma;Zi Huang

  • Computing with Spatial Trajectories

    Yu Zheng;Xiaofang Zhou

  • Unsupervised feature selection using nonnegative spectral analysis

    Zechao Li;Yi Yang;Jing Liu;Xiaofang Zhou

  • Advances in Spatial and Temporal Databases

    Michael Gertz;Matthias Renz;Xiaofang Zhou;Erik Hoel

  • Graph contextualized self-attention network for session-based recommendation

    Chengfeng Xu;Pengpeng Zhao;Yanchi Liu;Victor S. Sheng

  • Discovery of convoys in trajectory databases

    Hoyoung Jeung;Man Lung Yiu;Xiaofang Zhou;Christian S. Jensen

  • Spark: top-k keyword query in relational databases

    Yi Luo;Xuemin Lin;Wei Wang;Xiaofang Zhou

  • Discovering popular routes from trajectories

    Zaiben Chen;Heng Tao Shen;Xiaofang Zhou

  • Online Discovery of Gathering Patterns over Trajectories

    Kai Zheng;Yu Zheng;Nicholas Jing Yuan;Shuo Shang

  • Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation

    Pengpeng Zhao;Anjing Luo;Yanchi Liu;Fuzhen Zhuang

  • A Hybrid Prediction Model for Moving Objects

    Hoyoung Jeung;Qing Liu;Heng Tao Shen;Xiaofang Zhou

  • Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection

    Zechao Li;Jing Liu;Yi Yang;Xiaofang Zhou

  • Spatial-Aware Hierarchical Collaborative Deep Learning for POI Recommendation

    Hongzhi Yin;Weiqing Wang;Hao Wang;Ling Chen

  • Reducing Uncertainty of Low-Sampling-Rate Trajectories

    Kai Zheng;Yu Zheng;Xing Xie;Xiaofang Zhou

  • Searching trajectories by locations: an efficiency study

    Zaiben Chen;Heng Tao Shen;Xiaofang Zhou;Yu Zheng

  • Feature-level Deeper Self-Attention Network for Sequential Recommendation

    Tingting Zhang;Pengpeng Zhao;Yanchi Liu;Victor S. Sheng

  • Adapting to User Interest Drift for POI Recommendation

    Hongzhi Yin;Xiaofang Zhou;Bin Cui;Hao Wang

  • Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation

    Pengpeng Zhao;Haifeng Zhu;Yanchi Liu;Jiajie Xu

  • Proceedings of the 23rd ACM international conference on Multimedia

    Xiaofang Zhou;Alan F. Smeaton;Qi Tian;Dick C.A. Bulterman

Frequent Co-Authors

Kai Zheng
Kai Zheng University of Electronic Science and Technology of China
Heng Tao Shen
Heng Tao Shen University of Electronic Science and Technology of China
Hongzhi Yin
Hongzhi Yin University of Queensland
Shazia Sadiq
Shazia Sadiq University of Queensland
Zi Huang
Zi Huang University of Queensland
Guanfeng Liu
Guanfeng Liu Macquarie University
An Liu
An Liu Soochow University
Yanchun Zhang
Yanchun Zhang Victoria University
Xuemin Lin
Xuemin Lin Shanghai Jiao Tong University
Maria E. Orlowska
Maria E. Orlowska Polish-Japanese Institute of Information Technology

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