World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
71
Citations
18555
World Ranking
1787
National Ranking
32

Hwee Tou Ng 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 Hwee Tou Ng 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 187 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Hwee Tou Ng 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 Hwee Tou Ng sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 71 D-Index — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2010 - ACM Distinguished Member

Overview

Hwee Tou Ng is affiliated with the National University of Singapore in Singapore. Their research is primarily situated in the field of Computer Science, with a concentration on Artificial Intelligence. The research subfields they have contributed to include Computer Vision and Pattern Recognition, Information Systems, Software, and Radiology, Nuclear Medicine and Imaging.

The topics addressed in their work cover a range of areas within natural language processing and machine learning. These main topics include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Text Readability and Simplification
  • Speech and dialogue systems
  • Advanced Text Analysis Techniques
  • Multimodal Machine Learning Applications
  • Software Testing and Debugging Techniques

Their frequent co-authors reflect collaboration with several researchers over multiple projects. Key collaborators include:

  • Lidong Bing
  • Qingyu Tan
  • Hai Ye
  • Muhammad Reza Qorib
  • Ruidan He

Hwee Tou Ng has published extensively, with a significant number of papers appearing in venues such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, and Computational Linguistics. Notable recent papers include:

  • The CoNLL-2013 Shared Task on Grammatical Error Correction (2025), arXiv (Cornell University)
  • Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation (2022), Findings of the Association for Computational Linguistics: ACL 2022
  • Grammatical Error Correction: A Survey of the State of the Art (2023), Computational Linguistics
  • Inferring cancer disease response from radiology reports using large language models with data augmentation and prompting (2023), Journal of the American Medical Informatics Association
  • Frustratingly Easy System Combination for Grammatical Error Correction (2022), Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Among their scholarly achievements, Hwee Tou Ng was recognized as an ACM Distinguished Member in 2010.

Best Publications

  • A machine learning approach to coreference resolution of noun phrases

    Wee Meng Soon;Hwee Tou Ng;Daniel Chung Yong Lim

  • Feature selection, perceptron learning, and a usability case study for text categorization

    Hwee Tou Ng;Wei Boon Goh;Kok Leong Low

  • Integrating Multiple Knowledge Sources to Disambiguate Word Sense: An Exemplar-Based Approach

    Hwee Tou Ng;Hian Beng Lee

  • The CoNLL-2014 Shared Task on Grammatical Error Correction

    Hwee Tou Ng;Siew Mei Wu;Ted Briscoe;Christian Hadiwinoto

  • Named entity recognition: a maximum entropy approach using global information

    Hai Leong Chieu;Hwee Tou Ng

  • A Neural Approach to Automated Essay Scoring

    Kaveh Taghipour;Hwee Tou Ng

  • An Unsupervised Neural Attention Model for Aspect Extraction.

    Ruidan He;Wee Sun Lee;Hwee Tou Ng;Daniel Dahlmeier

  • It Makes Sense: A Wide-Coverage Word Sense Disambiguation System for Free Text

    Zhi Zhong;Hwee Tou Ng

  • Word Sense Disambiguation Improves Statistical Machine Translation

    Yee Seng Chan;Hwee Tou Ng;David Chiang

  • An Empirical Evaluation of Knowledge Sources and Learning Algorithms for Word Sense Disambiguation

    Yoong Keok Lee;Hwee Tou Ng

  • Towards Robust Linguistic Analysis using OntoNotes

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

  • A PDTB-Styled End-to-End Discourse Parser

    Ziheng Lin;Hwee Tou Ng;Min-Yen Kan

  • Recognizing Implicit Discourse Relations in the Penn Discourse Treebank

    Ziheng Lin;Min-Yen Kan;Hwee Tou Ng

  • Building a Large Annotated Corpus of Learner English: The NUS Corpus of Learner English

    Daniel Dahlmeier;Hwee Tou Ng;Siew Mei Wu

  • Named entity recognition with a maximum entropy approach

    Hai Leong Chieu;Hwee Tou Ng

  • Better Evaluation for Grammatical Error Correction

    Daniel Dahlmeier;Hwee Tou Ng

  • An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis

    Ruidan He;Wee Sun Lee;Hwee Tou Ng;Daniel Dahlmeier

  • A maximum entropy approach to information extraction from semi-structured and free text

    Hai Leong Chieu;Hwee Tou Ng

  • Mining topic-specific concepts and definitions on the web

    Bing Liu;Chee Wee Chin;Hwee Tou Ng

  • Chinese Part-of-Speech Tagging: One-at-a-Time or All-at-Once? Word-Based or Character-Based?

    Hwee Tou Ng;Jin Kiat Low

  • The CoNLL-2013 Shared Task on Grammatical Error Correction

    Hwee Tou Ng;Siew Mei Wu;Yuanbin Wu;Christian Hadiwinoto

  • Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing

    Mirella Lapata;Hwee Tou Ng

Frequent Co-Authors

Wee Sun Lee
Wee Sun Lee National University of Singapore
Preslav Nakov
Preslav Nakov Mohamed bin Zayed University of Artificial Intelligence
Min-Yen Kan
Min-Yen Kan National University of Singapore
Raymond J. Mooney
Raymond J. Mooney The University of Texas at Austin
Haizhou Li
Haizhou Li Chinese University of Hong Kong, Shenzhen
Mirella Lapata
Mirella Lapata University of Edinburgh
Ted Briscoe
Ted Briscoe Mohamed bin Zayed University of Artificial Intelligence
Guodong Zhou
Guodong Zhou Soochow University
Nianwen Xue
Nianwen Xue Brandeis University
Sameer Pradhan
Sameer Pradhan Vassar College

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