World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
10924
World Ranking
7826
National Ranking
3386

Na Li 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 Na Li 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.

Na Li 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 Na Li 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Na Li is affiliated with Harvard University in the United States and has an extensive publication record in engineering and computer science, with a focus on advanced control systems and energy management. Their research spans several main fields and subfields, emphasizing the integration of artificial intelligence methods with electrical and electronic engineering applications.

The primary fields of study for Na Li include:

  • Engineering
  • Computer Science

The subfields where Na Li has contributed significantly are:

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Networks and Communications
  • Management Science and Operations Research

Na Li's research topics reveal a concentration on energy systems and control, particularly in smart grid management and optimization techniques. Their main topics of work include:

  • Smart Grid Energy Management
  • Advanced Bandit Algorithms Research
  • Advanced Control Systems Optimization
  • Reinforcement Learning in Robotics
  • Optimal Power Flow Distribution
  • Control Systems and Identification
  • Microgrid Control and Optimization

Publications by Na Li cover influential work across multiple high-impact venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Journal of Physics Conference Series
  • IEEE Transactions on Automatic Control
  • IEEE Transactions on Smart Grid
  • Automatica

Selected recent papers by Na Li exemplify their research interests:

  • "Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges," 2022, IEEE Transactions on Smart Grid
  • "Flexible brain-computer interfaces," 2023, Nature Electronics
  • "Pythagorean fuzzy interactive Hamacher power aggregation operators for assessment of express service quality with entropy weight," 2020, Soft Computing
  • "Multi-objective and two-stage optimization study of integrated energy systems considering P2G and integrated demand responses," 2023, Energy
  • "Leveraging Two-Stage Adaptive Robust Optimization for Power Flexibility Aggregation," 2021, IEEE Transactions on Smart Grid

Na Li frequently collaborates with several coauthors, including:

  • Runyu Zhang
  • Zhaolin Ren
  • Yujie Tang
  • Yingying Li
  • Xin Chen

Best Publications

  • Optimal demand response based on utility maximization in power networks

    Na Li;Lijun Chen;Steven H. Low

  • Harnessing Smoothness to Accelerate Distributed Optimization

    Guannan Qu;Na Li

  • Exact Convex Relaxation of Optimal Power Flow in Radial Networks

    Lingwen Gan;Na Li;Ufuk Topcu;Steven H. Low

  • Design and Stability of Load-Side Primary Frequency Control in Power Systems

    Changhong Zhao;Ufuk Topcu;Na Li;Steven Low

  • Designing Games for Distributed Optimization

    Na Li;Jason R. Marden

  • Connecting Automatic Generation Control and Economic Dispatch From an Optimization View

    Na Li;Changhong Zhao;Lijun Chen

  • Real-Time Energy Management in Microgrids

    Wenbo Shi;Na Li;Chi-Cheng Chu;Rajit Gadh

  • Two Market Models for Demand Response in Power Networks

    Lijun Chen;Na Li;Steven H. Low;John C. Doyle

  • Connecting automatic generation control and economic dispatch from an optimization view

    Na Li;Lijun Chen;Changhong Zhao;Steven H. Low

  • Accelerated Distributed Nesterov Gradient Descent

    Guannan Qu;Na Li

  • Demand Response Using Linear Supply Function Bidding

    Na Li;Lijun Chen;Munther A. Dahleh

  • Solar generation prediction using the ARMA model in a laboratory-level micro-grid

    Rui Huang;Tiana Huang;Rajit Gadh;Na Li

  • Optimal Residential Demand Response in Distribution Networks

    Wenbo Shi;Na Li;Xiaorong Xie;Chi-Cheng Peter Chu

  • Aggregate Power Flexibility in Unbalanced Distribution Systems

    Xin Chen;Emiliano Dall'Anese;Changhong Zhao;Na Li

  • Exact convex relaxation of OPF for radial networks using branch flow model

    Na Li;Lijun Chen;Steven H. Low

  • Optimal Scheduling of Battery Charging Station Serving Electric Vehicles Based on Battery Swapping

    Xiaoqi Tan;Guannan Qu;Bo Sun;Na Li

  • On the Exponential Stability of Primal-Dual Gradient Dynamics

    Guannan Qu;Na Li

  • Optimal demand response: Problem formulation and deterministic case

    Lijun Chen;Na Li;Libin Jiang;Steven H. Low

  • Real-time decentralized voltage control in distribution networks

    Na Li;Guannan Qu;Munther Dahleh

  • Optimal Power Flow of Radial Networks and Its Variations: A Sequential Convex Optimization Approach

    Wei Wei;Jianhui Wang;Na Li;Shengwei Mei

  • Passivity-Based Distributed Optimization With Communication Delays Using PI Consensus Algorithm

    Takeshi Hatanaka;Nikhil Chopra;Takayuki Ishizaki;Na Li

Frequent Co-Authors

Steven H. Low
Steven H. Low California Institute of Technology
Carlo Fischione
Carlo Fischione Royal Institute of Technology
Ufuk Topcu
Ufuk Topcu The University of Texas at Austin
Vahid Tarokh
Vahid Tarokh Duke University
Antonis Papachristodoulou
Antonis Papachristodoulou University of Oxford
Adam Wierman
Adam Wierman California Institute of Technology
Jason R. Marden
Jason R. Marden University of California, Santa Barbara
Rajit Gadh
Rajit Gadh University of California, Los Angeles
Yue M. Lu
Yue M. Lu Beijing University of Posts and Telecommunications

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