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2025

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Rising Stars

D-Index
32
Citations
4150
World Ranking
974
National Ranking
160

Computer Science

D-Index
30
Citations
3142
World Ranking
14172
National Ranking
5600

Yu Su 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 Yu Su 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: 94 publications — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Yu Su 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 Yu Su 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: 30 D-Index — 3rd percentile

3% 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

  • 2025 - Research.com Rising Stars Award

Overview

Yu Su is affiliated with The Ohio State University in the United States and has a significant body of research contributions primarily in the fields of Computer Science and Engineering. Their work spans a variety of specialized subfields, including Artificial Intelligence, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, as well as Control and Systems Engineering and Mechanical Engineering.

The scientist has focused research topics covering a broad spectrum such as Topic Modeling, Natural Language Processing Techniques, Spectroscopy and Quantum Chemical Studies, Intelligent Tutoring Systems and Adaptive Learning, Machine Fault Diagnosis Techniques, Multimodal Machine Learning Applications, and Online Learning and Analytics.

Yu Su has published extensively in various academic venues. Frequent publication locations include:

  • arXiv (Cornell University)
  • The Journal of Chemical Physics
  • Journal of Physics Conference Series
  • Mechanical Systems and Signal Processing
  • Reliability Engineering & System Safety

Their recent papers demonstrate a focus on machine learning applications in education and health domains as well as anomaly detection. Notable works include:

  • "NeuralCD: A General Framework for Cognitive Diagnosis," 2022, IEEE Transactions on Knowledge and Data Engineering
  • "Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty Effect," 2022, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • "Colorectal Cancer Detection Based on Deep Learning," 2020, Journal of Pathology Informatics
  • "Conditional feature disentanglement learning for anomaly detection in machines operating under time-varying conditions," 2023, Mechanical Systems and Signal Processing
  • "Time-and-Concept Enhanced Deep Multidimensional Item Response Theory for interpretable Knowledge Tracing," 2021, Knowledge-Based Systems

Yu Su has collaborated frequently with several researchers, reflecting a network of academic partnership. Key coauthors include:

  • Guangrui Wen
  • Xuefeng Chen
  • Yao Wang
  • Zhenya Huang
  • Zhifen Zhang

Best Publications

  • MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI

    Unknown

  • Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases

    Yu Gu;Sue Kase;Michelle Vanni;Brian Sadler

  • GPT-4V(ision) is a Generalist Web Agent, if Grounded

    Unknown

  • Logical Natural Language Generation from Open-Domain Tables

    Wenhu Chen;Jianshu Chen;Yu Su;Zhiyu Chen

  • Table Cell Search for Question Answering

    Huan Sun;Hao Ma;Xiaodong He;Wen-tau Yih

  • On Generating Characteristic-rich Question Sets for QA Evaluation

    Yu Su;Huan Sun;Brian M. Sadler;Mudhakar Srivatsa

  • LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models

    Unknown

  • Cross-domain Semantic Parsing via Paraphrasing

    Yu Su;Xifeng Yan

  • AgentBench: Evaluating LLMs as Agents

    Unknown

  • Task-Oriented Dialogue as Dataflow Synthesis

    Jacob Andreas;John Bufe;David Burkett;Charles Chen

  • TravelPlanner: A Benchmark for Real-World Planning with Language Agents

    Unknown

  • DialSQL: Dialogue Based Structured Query Generation

    Izzeddin Gur;Semih Yavuz;Yu Su;Xifeng Yan

  • On the validity of geosocial mobility traces

    Zengbin Zhang;Lin Zhou;Xiaohan Zhao;Gang Wang

  • Building Natural Language Interfaces to Web APIs

    Yu Su;Ahmed Hassan Awadallah;Madian Khabsa;Patrick Pantel

  • Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study

    Ziyu Yao;Yu Su;Huan Sun;Wen-tau Yih

  • Improving Semantic Parsing via Answer Type Inference

    Semih Yavuz;Izzeddin Gur;Yu Su;Mudhakar Srivatsa

  • MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing

    Unknown

  • MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning

    Unknown

  • XL-NBT: A Cross-lingual Neural Belief Tracking Framework

    Wenhu Chen;Jianshu Chen;Yu Su;Xin Wang

  • One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones

    Unknown

  • Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention

    Pengcheng Yin;Hao Fang;Graham Neubig;Adam Pauls

  • Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning

    Xin Wang;Jiawei Wu;Da Zhang;Yu Su

  • Natural Language Interfaces with Fine-Grained User Interaction: A Case Study on Web APIs

    Yu Su;Ahmed Hassan Awadallah;Miaosen Wang;Ryen W. White

  • How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection

    Wenhu Chen;Yu Su;Yilin Shen;Zhiyu Chen

  • Exploiting Relevance Feedback in Knowledge Graph Search

    Yu Su;Shengqi Yang;Huan Sun;Mudhakar Srivatsa

  • What It Takes to Achieve 100% Condition Accuracy on WikiSQL

    Semih Yavuz;Izzeddin Gur;Yu Su;Xifeng Yan

  • An Imitation Game for Learning Semantic Parsers from User Interaction

    Ziyu Yao;Yiqi Tang;Wen-tau Yih;Huan Sun

  • Task-Oriented Dialogue as Dataflow Synthesis

    Semantic Machines;Jacob Andreas;John Bufe;David Burkett

Frequent Co-Authors

Xifeng Yan
Xifeng Yan University of California, Santa Barbara
William Yang Wang
William Yang Wang University of California, Santa Barbara
Wen-tau Yih
Wen-tau Yih Facebook (United States)
Percy Liang
Percy Liang Stanford University
Ahmed Hassan Awadallah
Ahmed Hassan Awadallah Microsoft (United States)
Daniel Klein
Daniel Klein University of California, Berkeley
Dan Roth
Dan Roth University of Pennsylvania
Jason Eisner
Jason Eisner Johns Hopkins University
Brian M. Sadler
Brian M. Sadler United States Army Research Laboratory

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