World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
10964
World Ranking
9084
National Ranking
3863

Diyi 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 Diyi 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: 99 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

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

Diyi 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 Diyi 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: 40 D-Index — 37th percentile

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

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

Overview

Diyi Yang is affiliated with Stanford University in the United States and specializes in the field of Computer Science, with a primary focus on Artificial Intelligence. Their research portfolio spans interdisciplinary subfields including Sociology and Political Science, Communication, Computer Vision and Pattern Recognition, and Information Systems.

The scientist's research topics cover several domains such as topic modeling, natural language processing techniques, multimodal machine learning applications, hate speech and cyberbullying detection, social media and politics, misinformation and its impacts, and explainable artificial intelligence (XAI).

Diyi Yang has coauthored numerous papers with frequent collaborators including Caleb Ziems, William A. Held, Jiaao Chen, Yanzhe Zhang, and Omar Shaikh.

They have published extensively in various academic venues, with a particular concentration in:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Human-Computer Interaction
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Some of their recent academic papers include:

  • "Can Large Language Models Transform Computational Social Science?", 2023, Computational Linguistics
  • "Using large language models in psychology", 2023, Nature Reviews Psychology
  • "Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond", 2022, Transactions of the Association for Computational Linguistics
  • "Evaluating the Effectiveness of Deplatforming as a Moderation Strategy on Twitter", 2021, Proceedings of the ACM on Human-Computer Interaction
  • "Latent Hatred: A Benchmark for Understanding Implicit Hate Speech", 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Best Publications

  • Hierarchical Attention Networks for Document Classification

    Zichao Yang;Diyi Yang;Chris Dyer;Xiaodong He

  • Sentiment Analysis in MOOC Discussion Forums: What does it tell us?

    Miaomiao Wen;Diyi Yang;Carolyn Penstein Rosé

  • MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

    Jiaao Chen;Zichao Yang;Diyi Yang

  • That's So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets

    William Yang Wang;Diyi Yang

  • ToTTo: A Controlled Table-To-Text Generation Dataset

    Ankur P. Parikh;Xuezhi Wang;Sebastian Gehrmann;Manaal Faruqui

  • Humor Recognition and Humor Anchor Extraction

    Diyi Yang;Alon Lavie;Chris Dyer;Eduard Hovy

  • Investigating How Student's Cognitive Behavior in MOOC Discussion Forums Affect Learning Gains.

    Xu Wang;Diyi Yang;Miaomiao Wen;Kenneth R. Koedinger

  • Social factors that contribute to attrition in MOOCs

    Carolyn Penstein Rosé;Ryan Carlson;Diyi Yang;Miaomiao Wen

  • Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization

    Jiaao Chen;Diyi Yang

  • Exploring the Effect of Confusion in Discussion Forums of Massive Open Online Courses

    Diyi Yang;Miaomiao Wen;Iris Howley;Robert Kraut

  • Latent Hatred: A Benchmark for Understanding Implicit Hate Speech

    Mai ElSherief;Caleb Ziems;David Muchlinski;Vaishnavi Anupindi

  • Automatically Neutralizing Subjective Bias in Text

    Reid Pryzant;Richard Diehl Martinez;Nathan Dass;Sadao Kurohashi

  • Linguistic Reflections of Student Engagement in Massive Open Online Courses

    Miaomiao Wen;Diyi Yang;Carolyn Penstein Rosé

  • The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics

    Sebastian Gehrmann;Tosin Adewumi;Karmanya Aggarwal;Pawan Sasanka Ammanamanchi

  • The Importance of Modeling Social Factors of Language: Theory and Practice

    Dirk Hovy;Diyi Yang

  • Incorporating Word Correlation Knowledge into Topic Modeling

    Pengtao Xie;Diyi Yang;Eric P. Xing

  • Graph Vulnerability and Robustness: A Survey

    Scott Freitas;Diyi Yang;Srijan Kumar;Hanghang Tong

  • The Channel Matters: Self-disclosure, Reciprocity and Social Support in Online Cancer Support Groups

    Diyi Yang;Zheng Yao;Joseph Seering;Robert Kraut

  • Forum Thread Recommendation for Massive Open Online Courses

    Diyi Yang;Mario Piergallini;Iris K. Howley;Carolyn Penstein Rosé

  • Seekers, Providers, Welcomers, and Storytellers: Modeling Social Roles in Online Health Communities

    Diyi Yang;Robert E. Kraut;Tenbroeck Smith;Elijah Mayfield

  • Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs

    Jiaao Chen;Diyi Yang

  • Continual Learning for Text Classification with Information Disentanglement Based Regularization

    Yufan Huang;Yanzhe Zhang;Jiaao Chen;Xuezhi Wang

Frequent Co-Authors

Carolyn Penstein Rosé
Carolyn Penstein Rosé Carnegie Mellon University
Robert E. Kraut
Robert E. Kraut Carnegie Mellon University
Duen Horng Chau
Duen Horng Chau Georgia Institute of Technology
Eduard Hovy
Eduard Hovy Carnegie Mellon University
Jacob Eisenstein
Jacob Eisenstein Google (United States)
Yong Yu
Yong Yu Shanghai Jiao Tong University
Weinan Zhang
Weinan Zhang Shanghai Jiao Tong University
Dipanjan Das
Dipanjan Das Google (United States)
Dan Jurafsky
Dan Jurafsky Stanford University
Yong Li
Yong Li Tsinghua University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education can open doors to a variety of rewarding career paths in computer science and IT. Online programs offer flexibility, often allowing you to upskill or earn a degree faster while balancing work or other commitments.

For those looking for a quick start, consider quick certifications that pay well. These certifications can boost your resume and help you enter the workforce rapidly, without the commitment of a full degree.

If you're seeking a more comprehensive qualification in less time, the shortest master degree programs are designed to accelerate your professional development. These condensed programs cover essential skills for high-demand tech roles.

Students aiming for maximum job security should research the most in demand masters degrees. Graduates of these programs often find abundant opportunities, especially in advanced IT leadership and specialized areas like data science.

Not ready for a full bachelor's or master's program? An associates degree online is a practical and approachable way to build foundational skills for entry-level roles—often with options to transfer credits toward a higher degree later.

Best Scientists Citing Diyi Yang

Trending Scientists

Recently Published Articles