World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
16571
World Ranking
6028
National Ranking
799

Xiaofeng Ren 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 Xiaofeng Ren 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: 82 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

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

Xiaofeng Ren 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 Xiaofeng Ren 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Xiaofeng Ren is affiliated with Alibaba Group (China) and has a significant research footprint in engineering, materials science, and chemistry. Their work spans multiple subfields including organic chemistry, biomaterials, materials chemistry, biomedical engineering, and building and construction.

The scientist's research encompasses a range of main topics related to both materials science and biomedical applications. Key areas of focus include:

  • Antimicrobial agents and applications
  • Electrospun nanofibers in biomedical applications
  • Concrete and cement materials research
  • Wound healing and treatments
  • Graphene and nanomaterials applications
  • Dyeing and modifying textile fibers
  • Biodegradable polymer synthesis and properties

Frequent coauthors in Xiaofeng Ren's work include Jiayuan Ye, Tung-Shi Huang, Fang Ding, Shumin Zhang, and Zhiguang Li. These collaborators have appeared regularly in their published research, indicating ongoing partnerships in several studies.

Xiaofeng Ren has published extensively in the following venues, with multiple articles appearing in each:

  • Construction and Building Materials
  • International Journal of Biological Macromolecules
  • Fibers and Polymers
  • Cellulose
  • Carbohydrate Polymers

Selected recent papers by Xiaofeng Ren include:

  • Novel quaternarized N-halamine chitosan and polyvinyl alcohol nanofibrous membranes as hemostatic materials with excellent antibacterial properties, 2020, Carbohydrate Polymers
  • Development of inherently antibacterial, biodegradable, and biologically active chitosan/pseudo-protein hybrid hydrogels as biofunctional wound dressings, 2021, ACS Applied Materials & Interfaces
  • Construction of aerogels based on nanocrystalline cellulose and chitosan for high efficient oil/water separation and water disinfection, 2020, Carbohydrate Polymers
  • Transparent and ultra-tough PVA/alkaline lignin films with UV shielding and antibacterial functions, 2022, International Journal of Biological Macromolecules
  • N-halamine modified ceria nanoparticles: Antibacterial response and accelerated wound healing application via a 3D printed scaffold, 2021, Composites Part B Engineering

This scientist's publications address a wide range of materials combining chemical engineering and biological functionalities, with a notable focus on antimicrobial and wound healing materials.

Best Publications

  • A large-scale hierarchical multi-view RGB-D object dataset

    Kevin Lai;Liefeng Bo;Xiaofeng Ren;Dieter Fox

  • RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments

    Peter Henry;Michael Krainin;Evan Herbst;Xiaofeng Ren

  • RGB-D Mapping: Using Depth Cameras for Dense 3D Modeling of Indoor Environments

    Peter Henry;Michael Krainin;Evan Herbst;Xiaofeng Ren

  • Recovering human body configurations: combining segmentation and recognition

    G. Mori;Xiaofeng Ren;A.A. Efros;J. Malik

  • Learning to recognize objects in egocentric activities

    Alireza Fathi;Xiaofeng Ren;James M. Rehg

  • RGB-(D) scene labeling: Features and algorithms

    Xiaofeng Ren;Liefeng Bo;Dieter Fox

  • Unsupervised Feature Learning for RGB-D Based Object Recognition

    Liefeng Bo;Xiaofeng Ren;Dieter Fox

  • Kernel Descriptors for Visual Recognition

    Liefeng Bo;Xiaofeng Ren;Dieter Fox

  • Depth kernel descriptors for object recognition

    Liefeng Bo;Xiaofeng Ren;Dieter Fox

  • Detecting item interaction and movement

    Dilip Kumar;Elie Micah Kornfield;Alexander Clark Prater;Sridhar Boyapati

  • Object recognition with hierarchical kernel descriptors

    Liefeng Bo;Kevin Lai;Xiaofeng Ren;Dieter Fox

  • Histograms of Sparse Codes for Object Detection

    Xiaofeng Ren;Deva Ramanan

  • Figure/Ground assignment in natural images

    Xiaofeng Ren;Charless C. Fowlkes;Jitendra Malik

  • Recovering human body configurations using pairwise constraints between parts

    Xiaofeng Ren;A.C. Berg;J. Malik

  • Hierarchical Matching Pursuit for Image Classification: Architecture and Fast Algorithms

    Liefeng Bo;Xiaofeng Ren;Dieter Fox

  • Sparse distance learning for object recognition combining RGB and depth information

    Kevin Lai;Liefeng Bo;Xiaofeng Ren;Dieter Fox

  • Multi-scale Improves Boundary Detection in Natural Images

    Xiaofeng Ren

  • Multipath Sparse Coding Using Hierarchical Matching Pursuit

    Liefeng Bo;Xiaofeng Ren;Dieter Fox

  • Detection-based object labeling in 3D scenes

    Kevin Lai;Liefeng Bo;Xiaofeng Ren;Dieter Fox

  • Discriminative mixture-of-templates for viewpoint classification

    Chunhui Gu;Xiaofeng Ren

Frequent Co-Authors

Dieter Fox
Dieter Fox University of Washington
Liefeng Bo
Liefeng Bo Alibaba Group (United States)
Jitendra Malik
Jitendra Malik University of California, Berkeley
Kevin Lai
Kevin Lai Samsara
Charless C. Fowlkes
Charless C. Fowlkes University of California, Irvine
Rong Jin
Rong Jin Alibaba Group (China)
Kurt Konolige
Kurt Konolige Google (United States)
Rong Xu
Rong Xu Case Western Reserve University
James M. Rehg
James M. Rehg University of Illinois at Urbana-Champaign
Juergen Gall
Juergen Gall University of Bonn

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