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2025

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Rising Stars

D-Index
48
Citations
10513
World Ranking
360
National Ranking
21

Computer Science

D-Index
48
Citations
10431
World Ranking
6134
National Ranking
191

Qi Wu 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 Qi Wu 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: 126 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Qi Wu 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 Qi Wu 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.

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Qi Wu is affiliated with the University of Adelaide in Australia and has a research focus primarily in the field of Computer Science. Their scholarly work encompasses several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Signal Processing, and Neurology.

The research topics addressed in Qi Wu's publications include:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Human Pose and Action Recognition
  • Topic Modeling
  • Natural Language Processing Techniques
  • Video Analysis and Summarization

Qi Wu has contributed extensively to the scientific literature, with notable recent papers such as:

  • MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Overcoming Language Priors in VQA via Decomposed Linguistic Representations, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Reasoning on the Relation: Enhancing Visual Representation for Visual Question Answering and Cross-Modal Retrieval, 2020, IEEE Transactions on Multimedia
  • Referring Expression Comprehension: A Survey of Methods and Datasets, 2020, IEEE Transactions on Multimedia
  • Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

The venues in which Qi Wu has frequently published include:

  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings of the AAAI Conference on Artificial Intelligence

Among the frequent collaborators working with Qi Wu are co-authors Peng Wang, Xin Wang, Wenwu Zhu, and Xiaodong He, with multiple joint publications.

Qi Wu has also contributed to academic book publishing, including a title published by Springer International Publishing titled Visual Question Answering from 2022.

Best Publications

  • Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments

    Peter Anderson;Qi Wu;Damien Teney;Jake Bruce

  • What Value Do Explicit High Level Concepts Have in Vision to Language Problems

    Qi Wu;Chunhua Shen;Lingqiao Liu;Anthony Dick

  • FVQA: Fact-Based Visual Question Answering

    Peng Wang;Qi Wu;Chunhua Shen;Anthony Dick

  • Image Captioning and Visual Question Answering Based on Attributes and External Knowledge

    Qi Wu;Chunhua Shen;Peng Wang;Anthony Dick

  • Visual question answering: A survey of methods and datasets

    Qi Wu;Damien Teney;Peng Wang;Chunhua Shen

  • Ask Me Anything: Free-Form Visual Question Answering Based on Knowledge from External Sources

    Qi Wu;Peng Wang;Chunhua Shen;Anthony Dick

  • Medical image classification using synergic deep learning.

    Jianpeng Zhang;Yutong Xie;Qi Wu;Yong Xia

  • Learning Semantic Concepts and Order for Image and Sentence Matching

    Yan Huang;Qi Wu;Chunfeng Song;Liang Wang

  • Fine-Grained Video-Text Retrieval With Hierarchical Graph Reasoning

    Shizhe Chen;Yida Zhao;Qin Jin;Qi Wu

  • REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments

    Yuankai Qi;Qi Wu;Peter Anderson;Xin Wang

  • Neighbourhood Watch: Referring Expression Comprehension via Language-Guided Graph Attention Networks

    Peng Wang;Qi Wu;Jiewei Cao;Chunhua Shen

  • Say As You Wish: Fine-Grained Control of Image Caption Generation With Abstract Scene Graphs

    Shizhe Chen;Qin Jin;Peng Wang;Qi Wu

  • Explicit Knowledge-based Reasoning for Visual Question Answering

    Peng Wang;Qi Wu;Chunhua Shen;Anthony R. Dick

  • Multilabel Image Classification With Regional Latent Semantic Dependencies

    Junjie Zhang;Qi Wu;Chunhua Shen;Jian Zhang

  • Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation

    Yazhou Yao;Tao Chen;Guo-Sen Xie;Chuanyi Zhang

  • VLN↻BERT: A Recurrent Vision-and-Language BERT for Navigation

    Yicong Hong;Qi Wu;Yuankai Qi;Cristian Rodriguez-Opazo

  • Visual Grounding via Accumulated Attention

    Chaorui Deng;Qi Wu;Qingyao Wu;Fuyuan Hu

  • Jo-SRC: A Contrastive Approach for Combating Noisy Labels

    Yazhou Yao;Zeren Sun;Chuanyi Zhang;Fumin Shen

  • Explicit Knowledge-based Reasoning for Visual Question Answering

    Peng Wang;Qi Wu;Chunhua Shen;Anton van den Hengel

  • Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries

    Bohan Zhuang;Qi Wu;Chunhua Shen;Ian Reid

  • A Recurrent Vision-and-Language BERT for Navigation

    Yicong Hong;Qi Wu;Yuankai Qi;Cristian Rodriguez-Opazo

  • Image Captioning and Visual Question Answering Based on Attributes and External Knowledge

    Qi Wu;Chunhua Shen;Anton van den Hengel;Peng Wang

  • Visual Grounding via Accumulated Attention.

    Chaorui Deng;Qi Wu;Qingyao Wu;Fan Lyu

Frequent Co-Authors

Anton van den Hengel
Anton van den Hengel University of Adelaide
Chunhua Shen
Chunhua Shen Zhejiang University
Mingkui Tan
Mingkui Tan South China University of Technology
Anthony Dick
Anthony Dick University of Adelaide
Jian Zhang
Jian Zhang University of Technology Sydney
Ian Reid
Ian Reid University of Adelaide
Stephen Gould
Stephen Gould Australian National University
Liang Wang
Liang Wang Chinese Academy of Sciences
Yazhou Yao
Yazhou Yao Nanjing University of Science and Technology
Yan Huang
Yan Huang Chinese Academy of Sciences

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