World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
7762
World Ranking
12418
National Ranking
5036

Tian Lan 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 Tian Lan 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: 204 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Tian Lan 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 Tian Lan 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Tian Lan is affiliated with George Washington University in the United States and has contributed extensively to research in computer science and engineering. Their scholarly output encompasses over 110 publications in computer science and 39 in engineering, with a notable focus on artificial intelligence, computer networks and communications, and computer vision and pattern recognition.

The scientist's main fields of study include:

  • Computer Science
  • Engineering

Subfields Tian Lan has contributed to are:

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Electrical and Electronic Engineering

Their research topics cover areas such as privacy-preserving technologies in data, reinforcement learning in robotics, IoT and edge/fog computing, cloud computing and resource management, transportation and mobility innovations, optimization and search problems, and advanced malware detection techniques.

Main topics of work include:

  • Privacy-Preserving Technologies in Data
  • Reinforcement Learning in Robotics
  • IoT and Edge/Fog Computing
  • Cloud Computing and Resource Management
  • Transportation and Mobility Innovations
  • Optimization and Search Problems
  • Advanced Malware Detection Techniques

Tian Lan has published frequently in several venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Network and Service Management
  • IEEE Transactions on Mobile Computing
  • IEEE/ACM Transactions on Networking
  • SSRN Electronic Journal

Recent research papers authored or co-authored by Tian Lan include:

  • "TNT: Target-driveN Trajectory Prediction" (2020, arXiv (Cornell University))
  • "Communication-Efficient Federated Learning with Adaptive Quantization" (2022, ACM Transactions on Intelligent Systems and Technology)
  • "Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering" (2022, 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS))
  • "AC-SGD: Adaptively Compressed SGD for Communication-Efficient Distributed Learning" (2022, IEEE Journal on Selected Areas in Communications)
  • "Efficient Video Instance Segmentation via Tracklet Query and Proposal" (2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR))

Frequent collaborators of Tian Lan include Vaneet Aggarwal, Yongsheng Mei, Jiayu Chen, Jingdi Chen, and Guru Venkataramani, with collaboration counts ranging from 6 to 18 papers.

Best Publications

  • Transmitter Optimization for the Multi-Antenna Downlink With Per-Antenna Power Constraints

    Wei Yu;T. Lan

  • Power Control in Wireless Cellular Networks

    Mung Chiang;Prashanth Hande;Tian Lan;Chee Wei Tan

  • An Axiomatic Theory of Fairness in Network Resource Allocation

    Tian Lan;David Kao;Mung Chiang;Ashutosh Sabharwal

  • Joint VM placement and routing for data center traffic engineering

    Joe Wenjie Jiang;Tian Lan;Sangtae Ha;Minghua Chen

  • Multiresource allocation: fairness-efficiency tradeoffs in a unifying framework

    Carlee Joe-Wong;Soumya Sen;Tian Lan;Mung Chiang

  • Discriminative Latent Models for Recognizing Contextual Group Activities

    Tian Lan;Yang Wang;Weilong Yang;S. N. Robinovitch

  • A Hierarchical Representation for Future Action Prediction

    Tian Lan;Tsung-Chuan Chen;Silvio Savarese

  • Power Control in Wireless Cellular Networks

    Unknown

  • Discriminative figure-centric models for joint action localization and recognition

    Tian Lan;Yang Wang;Greg Mori

  • Social roles in hierarchical models for human activity recognition

    Tian Lan;Leonid Sigal;Greg Mori

  • TNT: Target-driveN Trajectory Prediction

    Hang Zhao;Jiyang Gao;Tian Lan;Chen Sun

  • Zooming into individuals to understand the collective: A review of trajectory-based travel behaviour studies

    Yang Yue;Tian Lan;Anthony G.O. Yeh;Qing-Quan Li

  • TNT: Target-driveN Trajectory Prediction

    Hang Zhao;Jiyang Gao;Tian Lan;Chen Sun

  • Multi-resource allocation: Fairness-efficiency tradeoffs in a unifying framework

    Carlee Joe-Wong;Soumya Sen;Tian Lan;Mung Chiang

  • Fuel cell-battery hybrid systems for mobility and off-grid applications: A review

    Shuai Ma;Shuai Ma;Meng Lin;Tzu En Lin;Tian Lan

  • Beyond Actions: Discriminative Models for Contextual Group Activities

    Tian Lan;Yang Wang;Weilong Yang;Greg Mori

  • Joint Latency and Cost Optimization for Erasure-Coded Data Center Storage

    Yu Xiang;Tian Lan;Vaneet Aggarwal;Yih-Farn R. Chen

  • Data-driven urban management: Mapping the landscape

    Zeynep Engin;Justin van Dijk;Tian Lan;Paul A. Longley

  • Action Recognition by Hierarchical Mid-Level Action Elements

    Tian Lan;Yuke Zhu;Amir Roshan Zamir;Silvio Savarese

  • Communication-Efficient Federated Learning with Adaptive Quantization

    Unknown

  • MobiQoR: Pushing the Envelope of Mobile Edge Computing Via Quality-of-Result Optimization

    Yongbo Li;Yurong Chen;Tian Lan;Guru Venkataramani

  • Similarity constrained latent support vector machine: an application to weakly supervised action classification

    Nataliya Shapovalova;Arash Vahdat;Kevin Cannons;Tian Lan

  • Image retrieval with structured object queries using latent ranking SVM

    Tian Lan;Weilong Yang;Yang Wang;Greg Mori

  • Retrieving actions in group contexts

    Tian Lan;Yang Wang;Greg Mori;Stephen N. Robinovitch

  • Mining Suspicious Tax Evasion Groups in Big Data

    Feng Tian;Tian Lan;Kuo-Ming Chao;Nick Godwin

Frequent Co-Authors

Vaneet Aggarwal
Vaneet Aggarwal Purdue University West Lafayette
Mung Chiang
Mung Chiang Purdue University West Lafayette
Suresh Subramaniam
Suresh Subramaniam George Washington University
Greg Mori
Greg Mori Simon Fraser University
Paul A. Longley
Paul A. Longley University College London
Zhilin Li
Zhilin Li Hong Kong Polytechnic University
Ruby B. Lee
Ruby B. Lee Princeton University
Brent Fultz
Brent Fultz California Institute of Technology
Lin Zhong
Lin Zhong Yale University
Wei Yu
Wei Yu University of Toronto

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