World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
71
Citations
57013
World Ranking
1719
National Ranking
874

Yiming Yang 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 Yiming Yang 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: 295 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Yiming Yang 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 Yiming Yang 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: 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.

Overview

Yiming Yang is affiliated with Carnegie Mellon University in the United States and has a research focus primarily within the field of Computer Science. Their work spans several specialized subfields, including Artificial Intelligence, Computer Vision and Pattern Recognition, Mechanical Engineering, Statistical and Nonlinear Physics, and Developmental and Educational Psychology.

Their research topics cover a diverse range of advanced techniques and applications. Key areas include Topic Modeling, Natural Language Processing Techniques, Advanced Graph Neural Networks, Multimodal Machine Learning Applications, Video Surveillance and Tracking Methods, Complex Network Analysis Techniques, and Speech Recognition and Synthesis.

Yiming Yang's recent scholarly contributions include several papers published in notable venues. These include:

  • "Xlnet: Generalized Autoregressive Pretraining for Language Understanding", 2025, arXiv (Cornell University)
  • "CAWET: Context-Aware Worst-Case Execution Time Estimation Using Transformers", 2023, arXiv (Cornell University)
  • "Rethinking Transformer-based Set Prediction for Object Detection", 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "JAKET: Joint Pre-training of Knowledge Graph and Language Understanding", 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing", 2020, arXiv (Cornell University)

Frequent coauthors of Yiming Yang include Donghan Yu, Aman Madaan, Ruohong Zhang, Zihang Dai, and Quoc V. Le. Collaboration with these researchers spans numerous projects and publications, indicating a network of joint research efforts within the academic community.

The venues where Yiming Yang most often publishes reflect their research interests and visibility in the academic domain. These include arXiv (Cornell University), Teaching and Teacher Education, the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Proceedings of the AAAI Conference on Artificial Intelligence, and Multimedia Tools and Applications.

Best Publications

  • A Comparative Study on Feature Selection in Text Categorization

    Yiming Yang;Jan O. Pedersen

  • XLNet: Generalized Autoregressive Pretraining for Language Understanding

    Zhilin Yang;Zihang Dai;Yiming Yang;Jaime G. Carbonell

  • A re-examination of text categorization methods

    Yiming Yang;Xin Liu

  • Transformer-XL: Attentive Language Models beyond a Fixed-Length Context.

    Zihang Dai;Zhilin Yang;Yiming Yang;Jaime G. Carbonell

  • RCV1: A New Benchmark Collection for Text Categorization Research

    David D. Lewis;Yiming Yang;Tony G. Rose;Fan Li

  • An Evaluation of Statistical Approaches to Text Categorization

    Yiming Yang

  • DARTS: Differentiable Architecture Search

    Hanxiao Liu;Karen Simonyan;Yiming Yang

  • Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks

    Guokun Lai;Wei-Cheng Chang;Yiming Yang;Hanxiao Liu

  • Topic Detection and Tracking Pilot Study Final Report

    James Allan;Jaime Carbonell;George Doddington;Jonathan Yamron

  • The enron corpus: a new dataset for email classification research

    Bryan Klimt;Yiming Yang

  • A study of retrospective and on-line event detection

    Yiming Yang;Tom Pierce;Jaime Carbonell

  • RACE: Large-scale ReAding Comprehension Dataset From Examinations

    Guokun Lai;Qizhe Xie;Hanxiao Liu;Yiming Yang

  • Introducing the Enron Corpus.

    Bryan Klimt;Yiming Yang

  • An example-based mapping method for text categorization and retrieval

    Yiming Yang;Christopher G. Chute

  • MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices

    Zhiqing Sun;Hongkun Yu;Xiaodan Song;Renjie Liu

  • Expert network: effective and efficient learning from human decisions in text categorization and retrieval

    Yiming Yang

  • Deep Learning for Extreme Multi-label Text Classification

    Jingzhou Liu;Wei-Cheng Chang;Yuexin Wu;Yiming Yang

  • On the Sentence Embeddings from Pre-trained Language Models

    Bohan Li;Hao Zhou;Junxian He;Mingxuan Wang

  • Learning approaches for detecting and tracking news events

    Y. Yang;J.G. Carbonell;R.D. Brown;T. Pierce

  • MMD GAN: Towards Deeper Understanding of Moment Matching Network

    Chun-Liang Li;Wei-Cheng Chang;Yu Cheng;Yiming Yang

  • High-performing feature selection for text classification

    Monica Rogati;Yiming Yang

Frequent Co-Authors

Jaime G. Carbonell
Jaime G. Carbonell Carnegie Mellon University
Christopher G. Chute
Christopher G. Chute Johns Hopkins University
Graham Neubig
Graham Neubig Carnegie Mellon University
Barnabás Póczos
Barnabás Póczos Carnegie Mellon University
Ruslan Salakhutdinov
Ruslan Salakhutdinov Carnegie Mellon University
Zihang Dai
Zihang Dai Google (United States)
Eduard Hovy
Eduard Hovy Carnegie Mellon University
Inderjit S. Dhillon
Inderjit S. Dhillon Google (United States)
Quoc V. Le
Quoc V. Le Google (United States)
Alan W. Black
Alan W. Black Carnegie Mellon University

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