World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
9353
World Ranking
10502
National Ranking
4397

Lan Wang 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 Lan Wang 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: 96 publications — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Lan Wang 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 Lan Wang 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

Lan Wang is affiliated with the University of Memphis in the United States and specializes in the field of Computer Science. Their research portfolio includes 38 publications, distributed across several subfields such as Computer Networks and Communications, Artificial Intelligence, Information Systems, Signal Processing, and Electrical and Electronic Engineering.

The main topical areas of Lan Wang's work cover a range of technological domains, including:

  • IoT and Edge/Fog Computing
  • Caching and Content Delivery
  • Anomaly Detection Techniques and Applications
  • Cloud Computing and Resource Management
  • Distributed and Parallel Computing Systems
  • Time Series Analysis and Forecasting
  • Network Security and Intrusion Detection

Lan Wang has published frequently in several venues, notably:

  • arXiv (Cornell University)
  • Peer-to-Peer Networking and Applications
  • IEEE Access
  • MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM)
  • Journal of Imaging

Some recent papers authored or coauthored by Lan Wang include:

  • "EM_WOA: A budget-constrained energy consumption optimization approach for workflow scheduling in clouds" (2022, Peer-to-Peer Networking and Applications)
  • "Minimizing Energy Consumption Scheduling Algorithm of Workflows With Cost Budget Constraint on Heterogeneous Cloud Computing Systems" (2020, IEEE Access)
  • "Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection" (2021, arXiv (Cornell University))
  • "BBR-Inspired Congestion Control for Data Fetching over NDN" (2021, MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM))
  • "Greedy Ensemble Hyperspectral Anomaly Detection" (2024, Journal of Imaging)

Collaborations form a notable part of Lan Wang's academic activities. Frequent coauthors include:

  • Saurab Dulal
  • Longxin Zhang
  • Mansheng Xiao
  • Zhicheng Wen
  • Fei Wang

Best Publications

  • Named data networking

    Lixia Zhang;Alexander Afanasyev;Jeffrey Burke;Van Jacobson

  • A case for stateful forwarding plane

    Cheng Yi;Alexander Afanasyev;Ilya Moiseenko;Lan Wang

  • Adaptive forwarding in named data networking

    Cheng Yi;Alexander Afanasyev;Lan Wang;Beichuan Zhang

  • A survey of energy-efficient scheduling mechanisms in sensor networks

    Lan Wang;Yang Xiao

  • NLSR: named-data link state routing protocol

    A K M Mahmudul Hoque;Syed Obaid Amin;Adam Alyyan;Beichuan Zhang

  • OSPFN: An OSPF Based Routing Protocol for Named Data Networking

    Lan Wang;Mahmudul Hoque;Cheng Yi;Beichuan Zhang

  • NFD Developer's Guide

    Alexander Afanasyev;Junxiao Shi;Beichuan Zhang;Lixia Zhang

  • An analysis of BGP multiple origin AS (MOAS) conflicts

    Xiaoliang Zhao;Dan Pei;Lan Wang;Dan Massey

  • Observation and analysis of BGP behavior under stress

    Lan Wang;Xiaoliang Zhao;Dan Pei;Randy Bush

  • TCP over wireless multi-hop protocols: simulation and experiments

    M. Gerla;R. Bagrodia;Lixia Zhang;K. Tang

  • Improving BGP convergence through consistency assertions

    Dan Pei;Xiaoliang Zhao;Lan Wang;D. Massey

  • A two-tier resource management model for the Internet

    A. Terzis;L. Wang;J. Ogawa;L. Zhang

  • Addressing security in medical sensor networks

    Kriangsiri Malasri;Lan Wang

  • A Brief Introduction to Named Data Networking

    Alex Afanasyev;Jeff Burke;Tamer Refaei;Lan Wang

  • On the role of routing in named data networking

    Cheng Yi;Jerald Abraham;Alexander Afanasyev;Lan Wang

  • Detection of invalid routing announcement in the Internet

    Xiaoliang Zhao;Dan Pei;Lan Wang;D. Massey

  • SNAMP: Secure namespace mapping to scale NDN forwarding

    Alexander Afanasyev;Cheng Yi;Lan Wang;Beichuan Zhang

  • On the Aggregatability of Router Forwarding Tables

    Xin Zhao;Yaoqing Liu;Lan Wang;Beichuan Zhang

  • An experimental investigation of hyperbolic routing with a smart forwarding plane in NDN

    Vince Lehman;Ashlesh Gawande;Beichuan Zhang;Lixia Zhang

  • A Secure Link State Routing Protocol for NDN

    Lan Wang;Vince Lehman;A. K. M. Mahmudul Hoque;Beichuan Zhang

  • Named Data Networking

    Lixia Zhang;Van Jacobson;St Louis;Lan Wang

Frequent Co-Authors

Lixia Zhang
Lixia Zhang University of California, Los Angeles
Beichuan Zhang
Beichuan Zhang University of Arizona
Dan Massey
Dan Massey University of Colorado Boulder
Dan Pei
Dan Pei Tsinghua University
Jeff Burke
Jeff Burke University of California, Los Angeles
Van Jacobson
Van Jacobson University of California, Los Angeles
Dmitri Krioukov
Dmitri Krioukov Northeastern University
Tarek Abdelzaher
Tarek Abdelzaher University of Illinois at Urbana-Champaign
Robert Kozma
Robert Kozma University of Memphis
Andreas Terzis
Andreas Terzis Google (United States)

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