World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
5229
World Ranking
13049
National Ranking
1597

Qi Zhang 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 Zhang 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: 179 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Qi Zhang 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 Zhang 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Qi Zhang is affiliated with Fudan University in China and has contributed extensively to research in environmental science and earth and planetary sciences. Their work primarily focuses on atmospheric science, with significant contributions across related subfields including global and planetary change, health, toxicology and mutagenesis, artificial intelligence, and environmental engineering.

The scientist's research covers multiple interdisciplinary topics such as atmospheric chemistry and aerosols, air quality and health impacts, atmospheric aerosols and clouds, atmospheric ozone and climate, air quality monitoring and forecasting, vehicle emissions and performance, and climate variability and models.

Qi Zhang has authored numerous publications, with recent notable papers including:

  • Fast sulfate formation from oxidation of SO2 by NO2 and HONO observed in Beijing haze (2020, Nature Communications)
  • Aqueous production of secondary organic aerosol from fossil-fuel emissions in winter Beijing haze (2021, Proceedings of the National Academy of Sciences)
  • A review of aerosol chemistry in Asia: insights from aerosol mass spectrometer measurements (2020, Environmental Science Processes & Impacts)
  • A new daily gridded precipitation dataset for the Chinese mainland based on gauge observations (2023, Earth System Science Data)
  • Photosensitized Reactions of a Phenolic Carbonyl from Wood Combustion in the Aqueous Phase-Chemical Evolution and Light Absorption Properties of AqSOA (2021, Environmental Science & Technology)

Their frequent collaborators include Wenqing Jiang, Yele Sun, Christopher Niedek, Xinlei Ge, and Cort Anastasio, indicating active collaboration within the field.

Qi Zhang has published in a variety of scientific outlets, with frequent contributions to:

  • Atmospheric Chemistry and Physics
  • arXiv (Cornell University)
  • Environmental Science & Technology
  • Journal of Geophysical Research Atmospheres
  • The Science of The Total Environment

Best Publications

  • Phrase Dependency Parsing for Opinion Mining

    Yuanbin Wu;Qi Zhang;Xuangjing Huang;Lide Wu

  • Multimodal Neuroimaging Feature Learning With Multimodal Stacked Deep Polynomial Networks for Diagnosis of Alzheimer's Disease

    Jun Shi;Xiao Zheng;Yan Li;Qi Zhang

  • Natural language processing of disfluent sentences

    Fuliang Weng;Qi Zhang

  • Adaptive Co-attention Network for Named Entity Recognition in Tweets

    Qi Zhang;Jinlan Fu;Xiaoyu Liu;Xuanjing Huang

  • Simplify the Usage of Lexicon in Chinese NER

    Ruotian Ma;Minlong Peng;Qi Zhang;Zhongyu Wei

  • CNN-Based Chinese NER with Lexicon Rethinking

    Tao Gui;Ruotian Ma;Qi Zhang;Lujun Zhao

  • A Lexicon-Based Graph Neural Network for Chinese NER

    Tao Gui;Yicheng Zou;Qi Zhang;Minlong Peng

  • Hashtag recommendation using attention-based convolutional neural network

    Yuyun Gong;Qi Zhang

  • Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter

    Qi Zhang;Yang Wang;Yeyun Gong;Xuanjing Huang

  • A Partition Filter Network for Joint Entity and Relation Extraction

    Zhiheng Yan;Chong Zhang;Jinlan Fu;Qi Zhang

  • Hashtag Recommendation for Multimodal Microblog Using Co-Attention Network

    Qi Zhang;Jiawen Wang;Haoran Huang;Xuanjing Huang

  • Retweet Prediction with Attention-based Deep Neural Network

    Qi Zhang;Yeyun Gong;Jindou Wu;Haoran Huang

  • Cooperative Multimodal Approach to Depression Detection in Twitter

    Tao Gui;Liang Zhu;Qi Zhang;Minlong Peng

  • Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning.

    Minlong Peng;Xiaoyu Xing;Qi Zhang;Jinlan Fu

  • Part-of-Speech Tagging for Twitter with Adversarial Neural Networks

    Tao Gui;Qi Zhang;Haoran Huang;Minlong Peng

  • A two-stage multi-view learning framework based computer-aided diagnosis of liver tumors with contrast enhanced ultrasound images

    Unknown

  • FudanNLP: A Toolkit for Chinese Natural Language Processing

    Xipeng Qiu;Qi Zhang;Xuanjing Huang

  • Trainable Undersampling for Class-Imbalance Learning

    Minlong Peng;Qi Zhang;Xiaoyu Xing;Tao Gui

  • Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training

    Zhengyan Li;Yicheng Zou;Chong Zhang;Qi Zhang

  • Cross-Domain Sentiment Classification with Target Domain Specific Information

    Minlong Peng;Qi Zhang;Yu-gang Jiang;Xuanjing Huang

  • Learning topical translation model for microblog hashtag suggestion

    Zhuoye Ding;Xipeng Qiu;Qi Zhang;Xuanjing Huang

  • Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network

    Jifan Chen;Qi Zhang;Pengfei Liu;Xipeng Qiu

  • Incorporate Group Information to Enhance Network Embedding

    Jifan Chen;Qi Zhang;Xuanjing Huang

  • Sentiment-aware multimodal pre-training for multimodal sentiment analysis

    Unknown

  • How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks

    Unknown

  • Structural Opinion Mining for Graph-based Sentiment Representation

    Yuanbin Wu;Qi Zhang;Xuanjing Huang;Lide Wu

  • One2Set: Generating Diverse Keyphrases as a Set

    Jiacheng Ye;Tao Gui;Yichao Luo;Yige Xu

  • Automatic Hashtag Recommendation for Microblogs using Topic-Specific Translation Model

    Zhuoye Ding;Qi Zhang;Xuanjing Huang

Frequent Co-Authors

Xuanjing Huang
Xuanjing Huang Fudan University
Zhongyu Wei
Zhongyu Wei Fudan University
Xipeng Qiu
Xipeng Qiu Fudan University
Yu-Gang Jiang
Yu-Gang Jiang Fudan University
Jun Zhao
Jun Zhao Chinese Academy of Sciences
Kang Liu
Kang Liu Chinese Academy of Sciences
Cho-Jui Hsieh
Cho-Jui Hsieh University of California, Los Angeles
Shiliang Sun
Shiliang Sun East China Normal University
Tao Li
Tao Li Florida International University
Juyang Weng
Juyang Weng Michigan State University

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