World's Best Scientists 2026 revealed!
Xiaojun Wan

Xiaojun Wan

D-Index & Metrics

Computer Science

D-Index
54
Citations
10170
World Ranking
4624
National Ranking
619

Xiaojun Wan 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 Xiaojun Wan 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: 251 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Xiaojun Wan 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 Xiaojun Wan 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Xiaojun Wan is a researcher affiliated with Peking University in China, specializing primarily in the field of Computer Science. Their work covers a broad spectrum of subfields, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Molecular Biology
  • Organic Chemistry

The main research topics that Xiaojun Wan addresses include:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Multimodal Machine Learning Applications
  • Text Readability and Simplification
  • Advanced Text Analysis Techniques
  • Speech and Dialogue Systems
  • Software Engineering Research

Xiaojun Wan has contributed to numerous academic venues, with frequent publications in:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • Computational Linguistics
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Recent papers associated with Xiaojun Wan encompass a range of topics and collaborations, including:

  • "AMR-To-Text Generation with Graph Transformer," 2020, Transactions of the Association for Computational Linguistics
  • "SemSUM: Semantic Dependency Guided Neural Abstractive Summarization," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "GraDual: Graph-based Dual-modal Representation for Image-Text Matching," 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "Human-like Summarization Evaluation with ChatGPT," 2023, arXiv (Cornell University)
  • "Summarization is (Almost) Dead," 2023, arXiv (Cornell University)

Xiaojun Wan has a record of collaborative research with several frequent co-authors, namely:

  • Xunjian Yin
  • Mingqi Gao
  • Renliang Sun
  • Huixuan Zhang
  • Hanqi Jin

Best Publications

  • Co-Training for Cross-Lingual Sentiment Classification

    Xiaojun Wan

  • Single document keyphrase extraction using neighborhood knowledge

    Xiaojun Wan;Jianguo Xiao

  • Multi-document summarization using cluster-based link analysis

    Xiaojun Wan;Jianwu Yang

  • Abstractive Document Summarization with a Graph-Based Attentional Neural Model

    Jiwei Tan;Xiaojun Wan;Jianguo Xiao

  • Manifold-ranking based topic-focused multi-document summarization

    Xiaojun Wan;Jianwu Yang;Jianguo Xiao

  • Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model.

    Yitao Cai;Huiyu Cai;Xiaojun Wan

  • Attention-based LSTM Network for Cross-Lingual Sentiment Classification

    Xinjie Zhou;Xiaojun Wan;Jianguo Xiao

  • Using Bilingual Knowledge and Ensemble Techniques for Unsupervised Chinese Sentiment Analysis

    Xiaojun Wan

  • Evolutionary timeline summarization: a balanced optimization framework via iterative substitution

    Rui Yan;Xiaojun Wan;Jahna Otterbacher;Liang Kong

  • Towards an Iterative Reinforcement Approach for Simultaneous Document Summarization and Keyword Extraction

    Xiaojun Wan;Jianwu Yang;Jianguo Xiao

  • CollabRank: Towards a Collaborative Approach to Single-Document Keyphrase Extraction

    Xiaojun Wan;Jianguo Xiao

  • SentiGAN: Generating Sentimental Texts via Mixture Adversarial Networks

    Ke Wang;Xiaojun Wan

  • Recent advances in document summarization

    Jin-Ge Yao;Xiaojun Wan;Jianguo Xiao

  • A novel document similarity measure based on earth mover's distance

    Xiaojun Wan

  • Multimodal Transformer for Multimodal Machine Translation

    Shaowei Yao;Xiaojun Wan

  • TransModality: An End2End Fusion Method with Transformer for Multimodal Sentiment Analysis

    Zilong Wang;Zhaohong Wan;Xiaojun Wan

  • Improved Affinity Graph Based Multi-Document Summarization

    Xiaojun Wan;Jianwu Yang

  • Exploiting neighborhood knowledge for single document summarization and keyphrase extraction

    Xiaojun Wan;Jianguo Xiao

  • Cross-Lingual Sentiment Classification with Bilingual Document Representation Learning

    Xinjie Zhou;Xiaojun Wan;Jianguo Xiao

  • Person resolution in person search results: WebHawk

    Xiaojun Wan;Jianfeng Gao;Mu Li;Binggong Ding

  • T-CVAE: transformer-based conditioned variational autoencoder for story completion

    Tianming Wang;Xiaojun Wan

  • Automatic Text SimplificationHoracio Saggion (Universitat Pompeu Fabra) Morgan & Claypool (Synthesis Lectures on Human Language Technologies, edited by Graeme Hirst, volume 37), 2017, xvi+121 pp; paperback, ISBN 978-1-62705-868-1; ebook, ISBN 978-1-62705-869-8; doi:10.2200/S00700ED1V01Y201602HLT032

    Xiaojun Wan

Frequent Co-Authors

Jianguo Xiao
Jianguo Xiao Peking University
Yuxin Peng
Yuxin Peng Peking University
Rui Yan
Rui Yan Renmin University of China
Wayne Xin Zhao
Wayne Xin Zhao Renmin University of China
Zongming Guo
Zongming Guo Peking University
Ming Zhou
Ming Zhou Langboat Technology
Mu Li
Mu Li Amazon (United States)
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Mirella Lapata
Mirella Lapata University of Edinburgh
Ke Sun
Ke Sun Henry Patent Law Firm

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