World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
11396
World Ranking
8199
National Ranking
3514

Minlan Yu 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 Minlan Yu 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: 95 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.

Minlan Yu 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 Minlan Yu 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Minlan Yu is a researcher affiliated with Harvard University in the United States. Their work primarily lies within the field of Computer Science, with a strong focus on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Information Systems, and Signal Processing.

The scientist has published extensively in several venues, notably with nineteen publications in arXiv (Cornell University), two in IEEE Network, two in Zenodo (CERN European Organization for Nuclear Research), one in the Virtual Community of Pathological Anatomy (University of Castilla La Mancha), and one at the IEEE INFOCOM 2022 - IEEE Conference on Computer Communications.

Frequent research topics addressed by Minlan Yu include:

  • Software-Defined Networks and 5G
  • Caching and Content Delivery
  • Network Security and Intrusion Detection
  • Advanced Optical Network Technologies
  • Advanced Malware Detection Techniques
  • Interconnection Networks and Systems
  • Network Traffic and Congestion Control

Recent academic papers authored or coauthored by Minlan Yu include:

  • "Automating Botnet Detection with Graph Neural Networks" (2020, arXiv (Cornell University))
  • "PINT: Probabilistic In-band Network Telemetry" (2020, arXiv (Cornell University))
  • "Zero-CPU Collection with Direct Telemetry Access" (2021, Virtual Community of Pathological Anatomy (University of Castilla La Mancha))
  • "Optimal Oblivious Routing for Structured Networks" (2022, IEEE INFOCOM 2022 - IEEE Conference on Computer Communications)
  • "Network Digital Twin" (2024, IEEE Network)

Minlan Yu has collaborated frequently with several coauthors, including:

  • Ran Ben Basat
  • Michael Mitzenmacher
  • Jiawei Zhou
  • Alexander M. Rush
  • Gianni Antichi

Best Publications

  • Rethinking virtual network embedding: substrate support for path splitting and migration

    Minlan Yu;Yung Yi;Jennifer Rexford;Mung Chiang

  • Scalable flow-based networking with DIFANE

    Minlan Yu;Jennifer Rexford;Michael J. Freedman;Jia Wang

  • SIMPLE-fying middlebox policy enforcement using SDN

    Zafar Ayyub Qazi;Cheng-Chun Tu;Luis Chiang;Rui Miao

  • Software defined traffic measurement with OpenSketch

    Minlan Yu;Lavanya Jose;Rui Miao

  • HPCC: high precision congestion control

    Yuliang Li;Rui Miao;Hongqiang Harry Liu;Yan Zhuang

  • SilkRoad: Making Stateful Layer-4 Load Balancing Fast and Cheap Using Switching ASICs

    Rui Miao;Hongyi Zeng;Changhoon Kim;Jeongkeun Lee

  • Cherrypick: adaptively unearthing the best cloud configurations for big data analytics

    Omid Alipourfard;Hongqiang Harry Liu;Jianshu Chen;Shivaram Venkataraman

  • Enforcing network-wide policies in the presence of dynamic middlebox actions using flowtags

    Seyed Kaveh Fayazbakhsh;Luis Chiang;Vyas Sekar;Minlan Yu

  • FlowRadar: a better NetFlow for data centers

    Yuliang Li;Rui Miao;Changhoon Kim;Minlan Yu

  • VideoEdge: Processing Camera Streams using Hierarchical Clusters

    Chien-Chun Hung;Ganesh Ananthanarayanan;Peter Bodik;Leana Golubchik

  • FlowTags: enforcing network-wide policies in the presence of dynamic middlebox actions

    Seyed Kaveh Fayazbakhsh;Vyas Sekar;Minlan Yu;Jeffrey C. Mogul

  • DREAM: dynamic resource allocation for software-defined measurement

    Masoud Moshref;Minlan Yu;Ramesh Govindan;Amin Vahdat

  • PINT: Probabilistic In-band Network Telemetry

    Ran Ben Basat;Sivaramakrishnan Ramanathan;Yuliang Li;Gianni Antichi

  • Rapier: Integrating routing and scheduling for coflow-aware data center networks

    Yangming Zhao;Kai Chen;Wei Bai;Minlan Yu

  • Online measurement of large traffic aggregates on commodity switches

    Lavanya Jose;Minlan Yu;Jennifer Rexford

  • GRASS: trimming stragglers in approximation analytics

    Ganesh Ananthanarayanan;Michael Chien-Chun Hung;Xiaoqi Ren;Ion Stoica

  • Flow-level state transition as a new switch primitive for SDN

    Masoud Moshref;Apoorv Bhargava;Adhip Gupta;Minlan Yu

  • Scheduling jobs across geo-distributed datacenters

    Chien-Chun Hung;Leana Golubchik;Minlan Yu

  • Trumpet: Timely and Precise Triggers in Data Centers

    Masoud Moshref;Minlan Yu;Ramesh Govindan;Amin Vahdat

  • Hopper: Decentralized Speculation-aware Cluster Scheduling at Scale

    Xiaoqi Ren;Ganesh Ananthanarayanan;Adam Wierman;Minlan Yu

Frequent Co-Authors

Jennifer Rexford
Jennifer Rexford Princeton University
Ramesh Govindan
Ramesh Govindan University of Southern California
Ethan Katz-Bassett
Ethan Katz-Bassett Columbia University
Changhoon Kim
Changhoon Kim Intel (United States)
Amin Vahdat
Amin Vahdat Google (United States)
Ganesh Ananthanarayanan
Ganesh Ananthanarayanan Microsoft (United States)
Vyas Sekar
Vyas Sekar Carnegie Mellon University
Adam Wierman
Adam Wierman California Institute of Technology
Leana Golubchik
Leana Golubchik University of Southern California
Nick Feamster
Nick Feamster University of Chicago

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