World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
6921
World Ranking
10152
National Ranking
1260

Chu-Ren 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 Chu-Ren 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: 507 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Chu-Ren 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 Chu-Ren 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Chu-Ren Huang is affiliated with Hong Kong Polytechnic University in China. Their research spans multiple fields, primarily focusing on Computer Science, Psychology, and Arts and Humanities.

Their work covers a range of subfields including Artificial Intelligence, Experimental and Cognitive Psychology, Language and Linguistics, Social Psychology, and Cultural Studies.

Key topics explored in their research include:

  • Natural Language Processing Techniques
  • Language, Metaphor, and Cognition
  • Topic Modeling
  • Syntax, Semantics, Linguistic Variation
  • Language and cultural evolution
  • Sentiment Analysis and Opinion Mining
  • Authorship Attribution and Profiling

Significant recent publications illustrate the range and focus of their research. These include:

  • "Motivations, Methods and Metrics of Misinformation Detection: An NLP Perspective" (2020) in Natural Language Processing Research
  • "Decoding Word Embeddings with Brain-Based Semantic Features" (2021) in Computational Linguistics
  • "Designing a Uniform Meaning Representation for Natural Language Processing" (2021) in KI - Künstliche Intelligenz
  • "Lexical data augmentation for sentiment analysis" (2021) in Journal of the Association for Information Science and Technology
  • "Emergent neologism: A study of an emerging meaning with competing forms based on the first six months of COVID-19" (2021) in Lingua

Frequent co-authors in their work include Yongping Zhu, Kathleen Ahrens, Emmanuele Chersoni, Sicong Dong, and Menghan Jiang, reflecting collaborative efforts in their research field.

They have published multiple books with reputable academic publishers. These are:

  • A Student Grammar of Chinese (2023) published by Cambridge University Press
  • Chinese Lexical Semantics (2022) published by Springer Science+Business Media
  • Chinese Language Resources (2023) published by Springer Nature (Netherlands)

Recurring publication venues for their work include:

  • Journal of Chinese Linguistics
  • Humanities and Social Sciences Communications
  • arXiv (Cornell University)
  • Language Resources and Evaluation
  • Lingua

Best Publications

  • SINICA CORPUS: Design Methodology for Balanced Corpora

    Keh-Jiann Chen;Chu-Ren Huang;Li-Ping Chang;Hui-Li Hsu

  • Fake News Detection Through Multi-Perspective Speaker Profiles

    Yunfei Long;Qin Lu;Rong Xiang;Minglei Li

  • A Text-driven Rule-based System for Emotion Cause Detection

    Sophia Yat Mei Lee;Ying Chen;Chu-Ren Huang

  • Emotion Cause Detection with Linguistic Constructions

    Ying Chen;Sophia Yat Mei Lee;Shoushan Li;Chu-Ren Huang

  • Sentiment Classification and Polarity Shifting

    Shoushan Li;Sophia Y. M. Lee;Ying Chen;Chu-Ren Huang

  • A Framework of Feature Selection Methods for Text Categorization

    Shoushan Li;Rui Xia;Chengqing Zong;Chu-Ren Huang

  • Employing Personal/Impersonal Views in Supervised and Semi-Supervised Sentiment Classification

    Shoushan Li;Chu-Ren Huang;Guodong Zhou;Sophia Yat Mei Lee

  • Sinica BOW (Bilingual Ontological Wordnet): Integration of Bilingual WordNet and SUMO

    Chu Ren Huang;Ru Yng Chang;Hsiang Pin Lee

  • Individuals, kinds and events: classifier coercion of nouns

    Chu-Ren Huang;Kathleen Ahrens

  • EVALution 1.0: an Evolving Semantic Dataset for Training and Evaluation of Distributional Semantic Models

    Enrico Santus;Frances Yung;Alessandro Lenci;Chu-Ren Huang

  • Sinica Treebank: Design Criteria, Annotation Guidelines, and On-line Interface

    Chu-Ren Huang;Feng-Yi Chen;Keh-Jiann Chen;Zhao-ming Gao

  • Segmentation standard for Chinese natural language processing

    Chu-Ren Huang;Keh-Jiann Chen;Li-Li Chang

  • Conceptual Metaphors: Ontology-based Representation and Corpora Driven Mapping Principles

    Kathleen Ahrens;Siaw Fong Chung;Chu-Ren Huang

  • KYOTO: A system for Mining, Structuring and Distributing Knowledge Across Languages and Cultures

    Piek Vossen;Eneko Agirre;Nicoletta Calzolari;Christiane Fellbaum;Christiane Fellbaum

  • Foundational issues in natural language processing

    Peter Sells;Stuart M. Shieber;Thomas Wasow

  • Detecting emotion causes with a linguistic rule-based approach

    Sophia Yat Mei Lee;Sophia Yat Mei Lee;Ying Chen;Chu-Ren Huang;Shoushan Li

  • The Module-Attribute Representation of Verbal Semantics: From Semantic to Argument Structure

    Chu-Ren Huang;Kathleen Ahrens;Li-Li Chang;Keh-Jiann Chen

  • Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)

    Chu-Ren Huang;Dan Jurafsky

  • Chinese Sketch Engine and the Extraction of Grammatical Collocations

    Chu-Ren Huang;Adam Kilgarriff;Yiching Wu;Chih-Ming Chiu

  • Perspectives on Cognitive Informatics and Cognitive Computing

    Yingxu Wang;George Baciu;Yiyu Yao;Witold Kinsner

  • Rethinking Chinese Word Segmentation: Tokenization, Character Classification, or Wordbreak Identification

    Chu-Ren Huang;Petr Šimon;Shu-Kai Hsieh;Laurent Pr'evot

  • Proceedings of the 23rd International Conference on Computational Linguistics

    Aravind K. Joshi;Chu-Ren Huang;Dan Jurafsky

  • A Cognition Based Attention Model for Sentiment Analysis

    Yunfei Long;Qin Lu;Rong Xiang;Minglei Li

  • Motivations, Methods and Metrics of Misinformation Detection: An NLP Perspective

    Qi Su;Mingyu Wan;Xiaoqian Liu;Chu-Ren Huang

  • 中文词汇网络:跨语言知识处理基础架构的设计理念与实践 = Chinese wordnet : design, implementation, and application of an infrastructure for cross-lingual knowledge processing

    Chu-ren (黄居仁) Huang;Shu-Kai (谢舒凯) Hsieh;Jia-Fei (洪嘉馡) Hong;Yun-Zhu (陈韵竹) Chen

  • Proceedings of the 23rd International Conference on Computational Linguistics: Posters

    Aravind K. Joshi;Chu-Ren Huang;Dan Jurafsky

Frequent Co-Authors

Qin Lu
Qin Lu Hong Kong Polytechnic University
Shoushan Li
Shoushan Li Soochow University
Guodong Zhou
Guodong Zhou Soochow University
Aldo Gangemi
Aldo Gangemi University of Bologna
Christiane Fellbaum
Christiane Fellbaum Princeton University
Piek Vossen
Piek Vossen Vrije Universiteit Amsterdam
Nianwen Xue
Nianwen Xue Brandeis University
Wenjie Li
Wenjie Li Hong Kong Polytechnic University
Dan Jurafsky
Dan Jurafsky Stanford University
German Rigau
German Rigau University of the Basque Country

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