World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5766
World Ranking
10764
National Ranking
49

Hua Lu 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 Hua Lu 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: 149 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Hua Lu 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 Hua Lu 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Hua Lu is a researcher affiliated with Aalborg University in Denmark. Their work spans multiple disciplines, notably within computer science and medicine, contributing significantly to fields such as signal processing, artificial intelligence, computer networks and communications, transportation, and electrical and electronic engineering.

The primary research topics addressed by Hua Lu include:

  • Data Management and Algorithms
  • Geographic Information Systems Studies
  • Human Mobility and Location-Based Analysis
  • Indoor and Outdoor Localization Technologies
  • Advanced Database Systems and Queries
  • Time Series Analysis and Forecasting
  • Traffic Prediction and Management Techniques

Hua Lu has published extensively, with notable recurring venues including arXiv (Cornell University), IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment, Scientific Reports, and The Science of The Total Environment. These publications reflect a strong focus on both foundational and applied aspects of data systems and environmental studies.

Selected recent papers illustrate the breadth and interdisciplinary nature of their research:

  • "Gut symbionts alleviate MASH through a secondary bile acid biosynthetic pathway," 2024, Cell
  • "LightCTS: A Lightweight Framework for Correlated Time Series Forecasting," 2023, Proceedings of the ACM on Management of Data
  • "Simulation and attribution analysis of terrestrial ecosystem carbon storage of Hainan Island from 2015 to 2050," 2024, The Science of The Total Environment
  • "ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads," 2023, Proceedings of the VLDB Endowment
  • "Comparing Alternative Route Planning Techniques: A Comparative User Study on Melbourne, Dhaka and Copenhagen Road Networks," 2021, IEEE Transactions on Knowledge and Data Engineering

Hua Lu collaborates with several frequent co-authors, including Huan Li, Muhammad Aamir Cheema, Christian S. Jensen, Tiantian Liu, and Mohammed Eunus Ali. These collaborations suggest a consistent engagement with experts in data management and related computational fields.

Best Publications

  • SpaceTwist: Managing the Trade-Offs Among Location Privacy, Query Performance, and Query Accuracy in Mobile Services

    Man Lung Yiu;C.S. Jensen;Xuegang Huang;Hua Lu

  • Impact of COVID-19 on IoT Adoption in Healthcare, Smart Homes, Smart Buildings, Smart Cities, Transportation and Industrial IoT.

    Muhammad Umair;Muhammad Aamir Cheema;Omer Cheema;Huan Li

  • Top-k Neighborhood Dominating Query

    Xike Xie;Hua Lu;Jinchuan Chen;Shuo Shang

  • PAD: privacy-area aware, dummy-based location privacy in mobile services

    Hua Lu;Christian S. Jensen;Man Lung Yiu

  • Skyline Queries Against Mobile Lightweight Devices in MANETs

    Zhiyong Huang;C.S. Jensen;Hua Lu;Beng Chin Ooi

  • Graph Model Based Indoor Tracking

    Christian S. Jensen;Hua Lu;Bin Yang

  • Continuous Skyline Queries for Moving Objects

    Z. Huang;H. Lu;B.C. Ooi;A.K.H. Tung

  • Hybrid Indoor Positioning with Wi-Fi and Bluetooth: Architecture and Performance

    Artur Baniukevic;Christian S. Jensen;Hua Lu

  • LISA: A Learned Index Structure for Spatial Data

    Pengfei Li;Hua Lu;Qian Zheng;Long Yang

  • Parallel Distributed Processing of Constrained Skyline Queries by Filtering

    Bin Cui;Hua Lu;Quanqing Xu;Lijiang Chen

  • Probabilistic threshold k nearest neighbor queries over moving objects in symbolic indoor space

    Bin Yang;Hua Lu;Christian S. Jensen

  • Indexing the Trajectories of Moving Objects in Symbolic Indoor Space

    Christian S. Jensen;Hua Lu;Bin Yang

  • A unified model for stable and temporal topic detection from social media data

    Hongzhi Yin;Bin Cui;Hua Lu;Yuxin Huang

  • A Category-Aware Deep Model for Successive POI Recommendation on Sparse Check-in Data

    Fuqiang Yu;Lizhen Cui;Wei Guo;Xudong Lu

  • Efficient Skyline Computation in MapReduce

    Kasper Mullesgaard;Jens Laurits Pederseny;Hua Lu;Yongluan Zhou

  • Improving Wi-Fi Based Indoor Positioning Using Bluetooth Add-Ons

    Artur Baniukevic;Dovydas Sabonis;Christian S. Jensen;Hua Lu

  • A Foundation for Efficient Indoor Distance-Aware Query Processing

    Hua Lu;Xin Cao;Christian S. Jensen

  • Two ellipse-based pruning methods for group nearest neighbor queries

    Hongga Li;Hua Lu;Bo Huang;Zhiyong Huang

  • Learned Index for Spatial Queries

    Haixin Wang;Xiaoyi Fu;Jianliang Xu;Hua Lu

  • Indoor—A New Data Management Frontier

    Christian Søndergaard Jensen;Hua Lu;Bin Yang

  • Efficient distance-aware query evaluation on indoor moving objects

    Xike Xie;Hua Lu;T. B. Pedersen

Frequent Co-Authors

Torben Bach Pedersen
Torben Bach Pedersen Aalborg University
Christian S. Jensen
Christian S. Jensen Aalborg University
Man Lung Yiu
Man Lung Yiu Hong Kong Polytechnic University
Wei-Shinn Ku
Wei-Shinn Ku Auburn University
Bin Cui
Bin Cui Peking University
Gang Pan
Gang Pan Zhejiang University
Bin Yang
Bin Yang Aalborg University
Beng Chin Ooi
Beng Chin Ooi National University of Singapore
Jianliang Xu
Jianliang Xu Hong Kong Baptist University
Ralf Hartmut Güting
Ralf Hartmut Güting University of Hagen

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