World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
99621
World Ranking
11854
National Ranking
1476

Yangqing Jia 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 Yangqing Jia 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: 57 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

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

Yangqing Jia 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 Yangqing Jia 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Yangqing Jia is a researcher affiliated with Alibaba Group (China) in China. Their work spans several areas within computer science, focusing particularly on resource management, algorithms, and distributed systems.

The main field of study for this scientist is Computer Science, with specific contributions in the subfields of Information Systems, Computer Vision and Pattern Recognition, and Computer Networks and Communications.

Their research topics include Cloud Computing and Resource Management, Graph Theory and Algorithms, and Distributed and Parallel Computing Systems.

Yangqing Jia has published several papers, including the following recent works:

  • DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models (2024), published in arXiv (Cornell University)
  • Fangorn (2021), published in Proceedings of the VLDB Endowment

Frequent co-authors collaborating with Yangqing Jia include:

  • Yingda Chen
  • Jiamang Wang
  • Yifeng Lu
  • Ying Han
  • Zhiqiang Lv

Publication venues where their work frequently appears include Proceedings of the VLDB Endowment and arXiv (Cornell University).

Best Publications

  • Going deeper with convolutions

    Christian Szegedy;Wei Liu;Yangqing Jia;Pierre Sermanet

  • Caffe: Convolutional Architecture for Fast Feature Embedding

    Yangqing Jia;Evan Shelhamer;Jeff Donahue;Sergey Karayev

  • TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

    Martín Abadi;Ashish Agarwal;Paul Barham;Eugene Brevdo

  • DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

    Jeff Donahue;Yangqing Jia;Oriol Vinyals;Judy Hoffman

  • Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

    Priya Goyal;Piotr Dollár;Ross B. Girshick;Pieter Noordhuis

  • FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search

    Bichen Wu;Kurt Keutzer;Xiaoliang Dai;Peizhao Zhang

  • MatchNet: Unifying feature and metric learning for patch-based matching

    Xufeng Han;Thomas Leung;Yangqing Jia;Rahul Sukthankar

  • Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective

    Kim Hazelwood;Sarah Bird;David Brooks;Soumith Chintala

  • A Category-Level 3D Object Dataset: Putting the Kinect to Work.

    Allison Janoch;Sergey Karayev;Yangqing Jia;Jonathan T. Barron

  • Large-Scale Object Classification Using Label Relation Graphs

    Jia Deng;Jia Deng;Nan Ding;Yangqing Jia;Andrea Frome

  • Machine Learning at Facebook: Understanding Inference at the Edge

    Carole-Jean Wu;David Brooks;Kevin Chen;Douglas Chen

  • Deep Convolutional Ranking for Multilabel Image Annotation

    Yunchao Gong;Yangqing Jia;Thomas Leung;Alexander Toshev

  • Trace ratio criterion for feature selection

    Feiping Nie;Shiming Xiang;Yangqing Jia;Changshui Zhang

  • A category-level 3-D object dataset: Putting the Kinect to work

    Allison Janoch;Sergey Karayev;Yangqing Jia;Jonathan T. Barron

  • Beyond spatial pyramids: Receptive field learning for pooled image features

    Yangqing Jia;Chang Huang;Trevor Darrell

  • Trace Ratio Problem Revisited

    Yangqing Jia;Feiping Nie;Changshui Zhang

  • ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation

    Xiaoliang Dai;Yangqing Jia;Peter Vajda;Matt Uyttendaele

  • Learning cross-modality similarity for multinomial data

    Yangqing Jia;Mathieu Salzmann;Trevor Darrell

  • Factorized Latent Spaces with Structured Sparsity

    Yangqing Jia;Mathieu Salzmann;Trevor Darrell

  • Category-Independent Object-Level Saliency Detection

    Yangqing Jia;Mei Han

  • FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search

    Bichen Wu;Xiaoliang Dai;Peizhao Zhang;Yanghan Wang

  • ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation

    Xiaoliang Dai;Peizhao Zhang;Bichen Wu;Hongxu Yin

Frequent Co-Authors

Trevor Darrell
Trevor Darrell University of California, Berkeley
Changshui Zhang
Changshui Zhang Tsinghua University
Oriol Vinyals
Oriol Vinyals DeepMind (United Kingdom)
Jeff Donahue
Jeff Donahue DeepMind (United Kingdom)
Kate Saenko
Kate Saenko Boston University
Judy Hoffman
Judy Hoffman Georgia Institute of Technology
Jingdong Wang
Jingdong Wang Baidu (China)
Xian-Sheng Hua
Xian-Sheng Hua Terminus International
Mario Fritz
Mario Fritz Helmholtz Center for Information Security
Vincent Vanhoucke
Vincent Vanhoucke Google (United States)

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