World's Best Scientists 2026 revealed!
Xuanjing Huang

Xuanjing Huang

D-Index & Metrics

Computer Science

D-Index
64
Citations
19024
World Ranking
2569
National Ranking
346

Xuanjing Huang 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 Xuanjing Huang 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: 388 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Xuanjing Huang 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 Xuanjing Huang 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: 64 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Overview

Xuanjing Huang is affiliated with Fudan University in China and works primarily within the field of Computer Science. Their research focuses extensively on Artificial Intelligence, with contributions also spanning Computer Vision and Pattern Recognition, Information Systems, Management Science and Operations Research, and Molecular Biology.

Their scholarly output includes work on a variety of topics related to machine learning and natural language processing. Key topics covered in their publications are:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Text Analysis Techniques
  • Sentiment Analysis and Opinion Mining
  • Adversarial Robustness in Machine Learning

Xuanjing Huang has been published in several frequent venues, indicating active engagement with prominent conferences and journals in their field. These venues include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Science China Information Sciences
  • Machine Intelligence Research
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Their collaboration network includes several frequent co-authors, reflecting ongoing research partnerships. Notable frequent co-authors are:

  • Xipeng Qiu
  • Tao Gui
  • Zhongyu Wei
  • Qi Zhang (listed twice with different counts)

Some of the recent papers related to their research encompass significant contributions to natural language processing and related technologies:

  • Pre-trained models for natural language processing: A survey, 2020, Science China Technological Sciences
  • A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models, 2023, arXiv (Cornell University)
  • The rise and potential of large language model based agents: a survey, 2025, Science China Information Sciences
  • K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters, 2020, arXiv (Cornell University)
  • Learning Sparse Sharing Architectures for Multiple Tasks, 2020, Proceedings of the AAAI Conference on Artificial Intelligence

This body of work demonstrates engagement with foundational and emerging topics in artificial intelligence, particularly in areas related to language models and multitask learning architectures.

Best Publications

  • How to Fine-Tune BERT for Text Classification?

    Chi Sun;Xipeng Qiu;Yige Xu;Xuanjing Huang

  • Pre-trained Models for Natural Language Processing: A Survey

    XiPeng Qiu;TianXiang Sun;YiGe Xu;YunFan Shao

  • Recurrent neural network for text classification with multi-task learning

    Pengfei Liu;Xipeng Qiu;Xuanjing Huang

  • Adversarial Multi-task Learning for Text Classification

    Pengfei Liu;Xipeng Qiu;Xuanjing Huang

  • K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

    Ruize Wang;Duyu Tang;Nan Duan;zhongyu wei

  • Phrase Dependency Parsing for Opinion Mining

    Yuanbin Wu;Qi Zhang;Xuangjing Huang;Lide Wu

  • FLAT: Chinese NER Using Flat-Lattice Transformer

    Xiaonan Li;Hang Yan;Xipeng Qiu;Xuanjing Huang

  • Extractive Summarization as Text Matching

    Ming Zhong;Pengfei Liu;Yiran Chen;Danqing Wang

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

    Qi Zhang;Jinlan Fu;Xiaoyu Liu;Xuanjing Huang

  • Long Short-Term Memory Neural Networks for Chinese Word Segmentation

    Xinchi Chen;Xipeng Qiu;Chenxi Zhu;Pengfei Liu

  • Convolutional neural tensor network architecture for community-based question answering

    Xipeng Qiu;Xuanjing Huang

  • Heterogeneous Graph Neural Networks for Extractive Document Summarization.

    Danqing Wang;Pengfei Liu;Yining Zheng;Xipeng Qiu

  • 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 Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

    Unknown

  • A Lexicon-Based Graph Neural Network for Chinese NER

    Tao Gui;Yicheng Zou;Qi Zhang;Minlong Peng

  • GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge

    Luyao Huang;Chi Sun;Xipeng Qiu;Xuanjing Huang

  • Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter

    Qi Zhang;Yang Wang;Yeyun Gong;Xuanjing Huang

  • Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation

    Ning Dai;Jianze Liang;Xipeng Qiu;Xuanjing Huang

  • Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction

    Yingmei Chen;Zhongyu Wei;Xuanjing Huang

  • Adversarial Multi-Criteria Learning for Chinese Word Segmentation

    Xinchi Chen;Zhan Shi;Xipeng Qiu;Xuanjing Huang

  • Task-oriented Dialogue System for Automatic Diagnosis

    Zhongyu Wei;Qianlong Liu;Baolin Peng;Huaixiao Tou

Frequent Co-Authors

Xipeng Qiu
Xipeng Qiu Fudan University
Qi Zhang
Qi Zhang Fudan University
Zhongyu Wei
Zhongyu Wei Fudan University
Yu-Gang Jiang
Yu-Gang Jiang Fudan University
Nan Duan
Nan Duan Microsoft Research Asia (China)
Yang Liu
Yang Liu Tsinghua University
Ming Zhou
Ming Zhou Langboat Technology
Kai-Wei Chang
Kai-Wei Chang University of California, Los Angeles
Daxin Jiang
Daxin Jiang Microsoft (United States)
Duyu Tang
Duyu Tang Fudan University

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