World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
8635
World Ranking
7933
National Ranking
3419

Feng Qian 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 Feng Qian 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: 146 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Feng Qian 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 Feng Qian 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

Feng Qian is affiliated with the University of Southern California in the United States. Their research spans primarily across the fields of Computer Science and Engineering, with significant work published in several subfields including Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Materials Chemistry, and Organic Chemistry.

The scientist's work covers multiple topics, reflecting a diverse range of interests and expertise. These main topics include:

  • Advanced MIMO Systems Optimization
  • Image and Video Quality Assessment
  • Luminescence and Fluorescent Materials
  • Visual Attention and Saliency Detection
  • Molecular Sensors and Ion Detection
  • Supramolecular Chemistry and Complexes
  • Network Traffic and Congestion Control

Feng Qian has been involved in research published in various venues, among which the most frequent are:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Mobile Computing
  • Proceedings of the 28th Annual International Conference on Mobile Computing And Networking
  • Angewandte Chemie International Edition

A selection of recent papers illustrates the breadth of their research output. These include:

  • "A Comparative Measurement Study of Commercial 5G mmWave Deployments," 2022, IEEE INFOCOM 2022 - IEEE Conference on Computer Communications
  • "How Will VR Enter University Classrooms? Multi-stakeholders Investigation of VR in Higher Education," 2022, CHI Conference on Human Factors in Computing Systems
  • "Vues," 2022, Proceedings of the 28th Annual International Conference on Mobile Computing And Networking
  • "Emissive Metallacage-Cored Polyurethanes with Self-Healing and Shape Memory Properties," 2022, Angewandte Chemie International Edition
  • "Morpholine-Functionalized Multicomponent Metallacage as a Vector for Lysosome-Targeted Cell Imaging," 2022, ACS Applied Materials & Interfaces

Frequent collaborators of Feng Qian include researchers such as Zhenhua Li, Mingming Zhang, Hao Lin, Yunhao Liu, and Kai Gao. The volume of collaboration ranges from seven to fifteen joint publications with these co-authors.

Best Publications

  • A close examination of performance and power characteristics of 4G LTE networks

    Junxian Huang;Feng Qian;Alexandre Gerber;Z. Morley Mao

  • Optimizing 360 video delivery over cellular networks

    Feng Qian;Lusheng Ji;Bo Han;Vijay Gopalakrishnan

  • An in-depth study of LTE: effect of network protocol and application behavior on performance

    Junxian Huang;Feng Qian;Yihua Guo;Yuanyuan Zhou

  • A First Look at Commercial 5G Performance on Smartphones

    Arvind Narayanan;Eman Ramadan;Jason Carpenter;Qingxu Liu

  • Profiling resource usage for mobile applications: a cross-layer approach

    Feng Qian;Zhaoguang Wang;Alexandre Gerber;Zhuoqing Mao

  • Characterizing radio resource allocation for 3G networks

    Feng Qian;Zhaoguang Wang;Alexandre Gerber;Zhuoqing Morley Mao

  • Flare: Practical Viewport-Adaptive 360-Degree Video Streaming for Mobile Devices

    Feng Qian;Bo Han;Qingyang Xiao;Vijay Gopalakrishnan

  • A variegated look at 5G in the wild: performance, power, and QoE implications

    Arvind Narayanan;Xumiao Zhang;Ruiyang Zhu;Ahmad Hassan

  • TOP: Tail Optimization Protocol For Cellular Radio Resource Allocation

    Feng Qian;Zhaoguang Wang;Alexandre Gerber;Z. Morley Mao

  • Lumos5G: Mapping and Predicting Commercial mmWave 5G Throughput

    Arvind Narayanan;Eman Ramadan;Rishabh Mehta;Xinyue Hu

  • Dangerous Skills: Understanding and Mitigating Security Risks of Voice-Controlled Third-Party Functions on Virtual Personal Assistant Systems

    Nan Zhang;Xianghang Mi;Xuan Feng;XiaoFeng Wang

  • MP-DASH: Adaptive Video Streaming Over Preference-Aware Multipath

    Bo Han;Feng Qian;Lusheng Ji;Vijay Gopalakrishnan

  • Web caching on smartphones: ideal vs. reality

    Feng Qian;Kee Shen Quah;Junxian Huang;Jeffrey Erman

  • ViVo: visibility-aware mobile volumetric video streaming

    Bo Han;Yu Liu;Feng Qian

  • Periodic transfers in mobile applications: network-wide origin, impact, and optimization

    Feng Qian;Zhaoguang Wang;Yudong Gao;Junxian Huang

  • An empirical characterization of IFTTT: ecosystem, usage, and performance

    Xianghang Mi;Feng Qian;Ying Zhang;XiaoFeng Wang

  • An in-depth understanding of multipath TCP on mobile devices: measurement and system design

    Ashkan Nikravesh;Yihua Guo;Feng Qian;Z. Morley Mao

  • DeepWear: Adaptive Local Offloading for On-Wearable Deep Learning

    Mengwei Xu;Feng Qian;Mengze Zhu;Feifan Huang

  • Cellular data network infrastructure characterization and implication on mobile content placement

    Qiang Xu;Junxian Huang;Zhaoguang Wang;Feng Qian

  • TCP revisited: a fresh look at TCP in the wild

    Feng Qian;Alexandre Gerber;Zhuoqing Morley Mao;Subhabrata Sen

  • Screen-off traffic characterization and optimization in 3G/4G networks

    Junxian Huang;Feng Qian;Z. Morley Mao;Subhabrata Sen

Frequent Co-Authors

Subhabrata Sen
Subhabrata Sen AT&T (United States)
Alexandre Gerber
Alexandre Gerber AT&T (United States)
Oliver Spatscheck
Oliver Spatscheck AT&T (United States)
Z. Morley Mao
Z. Morley Mao University of Michigan–Ann Arbor
Xiaofeng Wang
Xiaofeng Wang Free University of Bozen-Bolzano
Yunhao Liu
Yunhao Liu Tsinghua University
Zhenhua Li
Zhenhua Li University of Science and Technology Beijing
Lusheng Ji
Lusheng Ji AT&T (United States)
Zhi-Li Zhang
Zhi-Li Zhang University of Minnesota
Vaneet Aggarwal
Vaneet Aggarwal Purdue University West Lafayette

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