World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
7554
World Ranking
8811
National Ranking
3765

Nianwen Xue 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 Nianwen Xue 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: 131 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Nianwen Xue 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 Nianwen Xue 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Nianwen Xue is affiliated with Brandeis University in the United States. Their research primarily falls within the field of Computer Science, with a focus on Artificial Intelligence and Language and Linguistics.

Their work covers several main topics, including:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Text Readability and Simplification
  • Speech Recognition and Synthesis
  • Sentiment Analysis and Opinion Mining
  • Semantic Web and Ontologies
  • Linguistics and Terminology Studies

Nianwen Xue has contributed to various publication venues with multiple works appearing in:

  • arXiv (Cornell University)
  • KI - Künstliche Intelligenz
  • International Journal of Computational Systems Engineering
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • International Journal of Asian Language Processing

Among their recent publications are:

  • "Text classification and topic mining of intelligent forum comments in university MOOC based on CNN networks," 2025, International Journal of Computational Systems Engineering
  • "HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language Generalization," 2024, arXiv (Cornell University)
  • "Designing a Uniform Meaning Representation for Natural Language Processing," 2021, KI - Künstliche Intelligenz
  • "Modal Dependency Parsing via Language Model Priming," 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • "Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields," 2020, arXiv (Cornell University)

In their research, Nianwen Xue has frequently collaborated with several coauthors, including:

  • Nicoletta Calzolari
  • Min-Yen Kan
  • Véronique Hoste
  • Alessandro Lenci
  • Sakriani Sakti

Best Publications

  • CoNLL-2012 Shared Task: Modeling Multilingual Unrestricted Coreference in OntoNotes

    Sameer Pradhan;Alessandro Moschitti;Nianwen Xue;Olga Uryupina

  • The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages

    Jan Hajiċ;Massimiliano Ciaramita;Richard Johansson;Daisuke Kawahara

  • Chinese Word Segmentation as Character Tagging

    Nianwen Xue

  • Calibrating Features for Semantic Role Labeling

    Nianwen Xue;Martha Palmer

  • CoNLL-2011 Shared Task: Modeling Unrestricted Coreference in OntoNotes

    Sameer Pradhan;Lance Ramshaw;Mitchell Marcus;Martha Palmer

  • Towards Robust Linguistic Analysis using OntoNotes

    Sameer Pradhan;Sameer Pradhan;Alessandro Moschitti;Alessandro Moschitti;Nianwen Xue;Hwee Tou Ng

  • Labeling chinese predicates with semantic roles

    Nianwen Xue

  • A Transition-based Algorithm for AMR Parsing

    Chuan Wang;Nianwen Xue;Sameer Pradhan

  • Chinese Word Segmentation as LMR Tagging

    Nianwen Xue;Libin Shen

  • Building a large-scale annotated Chinese corpus

    Nianwen Xue;Fu-Dong Chiou;Martha Palmer

  • Developing Guidelines and Ensuring Consistency for Chinese Text Annotation

    Fei Xia;Martha Palmer;Nianwen Xue;Mary Ellen Okurowski

  • The CoNLL-2015 Shared Task on Shallow Discourse Parsing

    Nianwen Xue;Hwee Tou Ng;Sameer Pradhan;Rashmi Prasad

  • CoNLL 2016 Shared Task on Multilingual Shallow Discourse Parsing

    Nianwen Xue;Hwee Tou Ng;Sameer Pradhan;Attapol Rutherford

  • Automatic semantic role labeling for Chinese verbs

    Nianwen Xue;Martha Palmer

  • Adding semantic roles to the chinese treebank

    Nianwen Xue;Martha Palmer

  • OntoNotes Release 5.0

    Ralph Weischedel;Martha Palmer;Mitchell Marcus;Eduard Hovy

  • PDTB-style Discourse Annotation of Chinese Text

    Yuping Zhou;Nianwen Xue

  • Discovering Implicit Discourse Relations Through Brown Cluster Pair Representation and Coreference Patterns

    Attapol Rutherford;Nianwen Xue

  • A corpus of full-text journal articles is a robust evaluation tool for revealing differences in performance of biomedical natural language processing tools

    Karin Verspoor;Kevin Bretonnel Cohen;Arrick Lanfranchi;Colin Warner

  • Annotating the Propositions in the Penn Chinese Treebank

    Nianwen Xue;Martha Palmer

Frequent Co-Authors

Martha Palmer
Martha Palmer University of Colorado Boulder
Sameer Pradhan
Sameer Pradhan Vassar College
Stephan Oepen
Stephan Oepen University of Oslo
Jan Hajič
Jan Hajič Charles University
Chu-Ren Huang
Chu-Ren Huang Hong Kong Polytechnic University
Jun Xu
Jun Xu Renmin University of China
Alessandro Moschitti
Alessandro Moschitti Amazon (United States)
Aravind K. Joshi
Aravind K. Joshi University of Pennsylvania
Joakim Nivre
Joakim Nivre Uppsala University
Johan Bos
Johan Bos University of Groningen

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