World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
9435
World Ranking
5140
National Ranking
2366

Vincent 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 Vincent 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: 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: 175 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Vincent 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 Vincent Ng 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Vincent Ng is affiliated with The University of Texas at Dallas in the United States. Their research primarily focuses on computer science, with a concentration on software engineering and related subfields.

The main fields of study in Vincent Ng's work include:

  • Computer Science

Within this broad field, the following subfields of study are notably represented:

  • Information Systems
  • Artificial Intelligence
  • Software
  • Computer Networks and Communications
  • Political Science and International Relations

The research topics covered by Vincent Ng emphasize areas such as:

  • Software Engineering Research
  • Software Reliability and Analysis Research
  • Topic Modeling
  • Software Testing and Debugging Techniques
  • Natural Language Processing Techniques
  • Artificial Intelligence in Law
  • Advanced Malware Detection Techniques

Vincent Ng has contributed to multiple research papers, some of the more recent papers include:

  • "SPT-code" (2022), published in the Proceedings of the 44th International Conference on Software Engineering
  • "Machine/Deep Learning for Software Engineering: A Systematic Literature Review" (2022), IEEE Transactions on Software Engineering
  • "Legal Judgment Prediction: A Survey of the State of the Art" (2022), Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • "Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code" (2022), Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • "Predicting Product Review Helpfulness - A Hybrid Method" (2020), IEEE Transactions on Services Computing

Frequent co-authors collaborating with Vincent Ng include:

  • Changan Niu
  • Jidong Ge
  • Chuanyi Li
  • Bin Luo

Vincent Ng's work has been published across a variety of venues, including:

  • arXiv (Cornell University)
  • ACM Transactions on Software Engineering and Methodology
  • Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • Proceedings of the 44th International Conference on Software Engineering
  • IEEE Transactions on Software Engineering

Best Publications

  • Improving Machine Learning Approaches to Coreference Resolution

    Vincent Ng;Claire Cardie

  • Automatic Keyphrase Extraction: A Survey of the State of the Art

    Kazi Saidul Hasan;Vincent Ng

  • Supervised Noun Phrase Coreference Research: The First Fifteen Years

    Vincent Ng

  • Examining the Role of Linguistic Knowledge Sources in the Automatic Identification and Classification of Reviews

    Vincent Ng;Sajib Dasgupta;S. M. Niaz Arifin

  • Unsupervised Models for Coreference Resolution

    Altaf Rahman;Vincent Ng

  • Identifying anaphoric and non-anaphoric noun phrases to improve coreference resolution

    Vincent Ng;Claire Cardie

  • Conundrums in Unsupervised Keyphrase Extraction: Making Sense of the State-of-the-Art

    Kazi Saidul Hasan;Vincent Ng

  • Mine the Easy, Classify the Hard: A Semi-Supervised Approach to Automatic Sentiment Classification

    Sajib Dasgupta;Vincent Ng

  • Stance Classification of Ideological Debates: Data, Models, Features, and Constraints

    Kazi Saidul Hasan;Vincent Ng

  • Why are You Taking this Stance? Identifying and Classifying Reasons in Ideological Debates

    Kazi Saidul Hasan;Vincent Ng

  • Scoring Coreference Partitions of Predicted Mentions: A Reference Implementation

    Sameer Pradhan;Xiaoqiang Luo;Marta Recasens;Eduard Hovy

  • Automated Essay Scoring: A Survey of the State of the Art.

    Zixuan Ke;Vincent Ng

  • Supervised Models for Coreference Resolution

    Unknown

  • Resolving Complex Cases of Definite Pronouns: The Winograd Schema Challenge

    Altaf Rahman;Vincent Ng

  • Modeling Argument Strength in Student Essays

    Isaac Persing;Vincent Ng

  • Weakly supervised natural language learning without redundant views

    Vincent Ng;Claire Cardie

  • Coreference Resolution with World Knowledge

    Altaf Rahman;Vincent Ng

  • Detecting missing information in bug descriptions

    Oscar Chaparro;Jing Lu;Fiorella Zampetti;Laura Moreno

  • Multidocument summarization via information extraction

    Michael White;Tanya Korelsky;Claire Cardie;Vincent Ng

  • End-to-end argumentation mining in student essays

    Isaac Persing;Vincent Ng

  • Machine Learning for Coreference Resolution: From Local Classification to Global Ranking

    Vincent Ng

Frequent Co-Authors

Claire Cardie
Claire Cardie Cornell University
I-Ling Yen
I-Ling Yen The University of Texas at Dallas
Latifur Khan
Latifur Khan The University of Texas at Dallas
Andrian Marcus
Andrian Marcus The University of Texas at Dallas
Massimiliano Di Penta
Massimiliano Di Penta University of Sannio
Yang Liu
Yang Liu Nanyang Technological University
Mehrdad Nourani
Mehrdad Nourani The University of Texas at Dallas
Denys Poshyvanyk
Denys Poshyvanyk William & Mary
Eduard Hovy
Eduard Hovy Carnegie Mellon University
Gabriele Bavota
Gabriele Bavota Universita della Svizzera Italiana

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