World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
9622
World Ranking
5379
National Ranking
2464

Lu Su 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 Lu Su 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: 181 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Lu Su 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 Lu Su 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: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

Lu Su is affiliated with Purdue University West Lafayette in the United States. Their research spans multiple domains within computer science and engineering, with a focus on artificial intelligence, electrical and electronic engineering, and computer vision.

The primary fields of study for Lu Su include:

  • Computer Science
  • Engineering

Within these broad areas, their work is concentrated in the following subfields:

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Building and Construction

The main topics in Lu Su's research cover a variety of emerging and applied technologies:

  • Domain Adaptation and Few-Shot Learning
  • Indoor and Outdoor Localization Technologies
  • Machine Learning and Data Classification
  • Transportation and Mobility Innovations
  • Privacy-Preserving Technologies in Data
  • Electric Vehicles and Infrastructure
  • Smart Parking Systems Research

Lu Su has published extensively in peer-reviewed venues. Some of the frequent publication outlets include:

  • arXiv (Cornell University)
  • IEEE Transactions on Mobile Computing
  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • Proceedings of the National Academy of Sciences
  • Proceedings of the AAAI Conference on Artificial Intelligence

Recent significant papers authored or co-authored by Lu Su are:

  • "Who Is in Control? Practical Physical Layer Attack and Defense for mmWave-Based Sensing in Autonomous Vehicles," 2021, IEEE Transactions on Information Forensics and Security
  • "DeepMV," 2020, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • "Joint Charging and Relocation Recommendation for E-Taxi Drivers via Multi-Agent Mean Field Hierarchical Reinforcement Learning," 2020, IEEE Transactions on Mobile Computing
  • "Exploring the coupling coordination relationship between eco-environment and renewable energy development in rural areas: A case of China," 2023, The Science of The Total Environment
  • "Structural basis for regulation of SOS response in bacteria," 2023, Proceedings of the National Academy of Sciences

Lu Su frequently collaborates with other researchers. Their most frequent co-authors include:

  • Chenglin Miao
  • Han-Jia Ye
  • De-Chuan Zhan
  • Chunming Qiao
  • Haiming Jin

Best Publications

  • EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection

    Yaqing Wang;Fenglong Ma;Zhiwei Jin;Ye Yuan

  • Towards Environment Independent Device Free Human Activity Recognition

    Wenjun Jiang;Chenglin Miao;Fenglong Ma;Shuochao Yao

  • A Survey on Truth Discovery

    Yaliang Li;Jing Gao;Chuishi Meng;Qi Li

  • A confidence-aware approach for truth discovery on long-tail data

    Qi Li;Yaliang Li;Jing Gao;Lu Su

  • Quality of Information Aware Incentive Mechanisms for Mobile Crowd Sensing Systems

    Haiming Jin;Lu Su;Danyang Chen;Klara Nahrstedt

  • Towards 3D human pose construction using wifi

    Wenjun Jiang;Hongfei Xue;Chenglin Miao;Shiyang Wang

  • FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation

    Fenglong Ma;Yaliang Li;Qi Li;Minghui Qiu

  • SmartRoad: Smartphone-Based Crowd Sensing for Traffic Regulator Detection and Identification

    Shaohan Hu;Lu Su;Hengchang Liu;Hongyan Wang

  • DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework

    Shuochao Yao;Yiran Zhao;Aston Zhang;Lu Su

  • INCEPTION: incentivizing privacy-preserving data aggregation for mobile crowd sensing systems

    Haiming Jin;Lu Su;Houping Xiao;Klara Nahrstedt

  • On the Discovery of Evolving Truth

    Yaliang Li;Qi Li;Jing Gao;Lu Su

  • Cloud-Enabled Privacy-Preserving Truth Discovery in Crowd Sensing Systems

    Chenglin Miao;Wenjun Jiang;Lu Su;Yaliang Li

  • Truth Discovery on Crowd Sensing of Correlated Entities

    Chuishi Meng;Wenjun Jiang;Yaliang Li;Jing Gao

  • Deep Learning for the Internet of Things

    Shuochao Yao;Yiran Zhao;Aston Zhang;Shaohan Hu

  • mmMesh: towards 3D real-time dynamic human mesh construction using millimeter-wave

    Hongfei Xue;Yan Ju;Chenglin Miao;Yijiang Wang

  • Enabling Privacy-Preserving Incentives for Mobile Crowd Sensing Systems

    Haiming Jin;Lu Su;Bolin Ding;Klara Nahrstedt

  • Incentive Mechanism for Privacy-Aware Data Aggregation in Mobile Crowd Sensing Systems

    Haiming Jin;Lu Su;Houping Xiao;Klara Nahrstedt

  • FastDeepIoT: Towards Understanding and Optimizing Neural Network Execution Time on Mobile and Embedded Devices

    Shuochao Yao;Yiran Zhao;Huajie Shao;ShengZhong Liu

  • Conflicts to Harmony: A Framework for Resolving Conflicts in Heterogeneous Data by Truth Discovery

    Yaliang Li;Qi Li;Jing Gao;Lu Su

  • You Can Hear But You Cannot Steal: Defending Against Voice Impersonation Attacks on Smartphones

    Si Chen;Si Chen;Kui Ren;Sixu Piao;Cong Wang

  • CENTURION: Incentivizing multi-requester mobile crowd sensing

    Haiming Jin;Lu Su;Klara Nahrstedt

Frequent Co-Authors

Tarek Abdelzaher
Tarek Abdelzaher University of Illinois at Urbana-Champaign
Jing Gao
Jing Gao Purdue University West Lafayette
Yaliang Li
Yaliang Li Alibaba Group (China)
Fenglong Ma
Fenglong Ma Pennsylvania State University
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Kui Ren
Kui Ren Zhejiang University
Chunming Qiao
Chunming Qiao University at Buffalo, State University of New York
Aidong Zhang
Aidong Zhang University of Virginia
Klara Nahrstedt
Klara Nahrstedt University of Illinois at Urbana-Champaign
Lance Kaplan
Lance Kaplan United States Army Research Laboratory

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