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D-Index
48
Citations
9965
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363
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61

Computer Science

D-Index
48
Citations
8769
World Ranking
6206
National Ranking
2784

Zhiting Hu 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 Zhiting Hu 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.

Zhiting Hu 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 Zhiting Hu 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: 48 D-Index — 58th percentile

58% 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

Zhiting Hu is affiliated with the University of California, San Diego in the United States. They have a substantial body of research within the field of Computer Science, contributing to 93 publications overall. Their work spans various subfields with a focus on Artificial Intelligence, Computer Vision and Pattern Recognition, General Health Professions, General Social Sciences, and Management Science and Operations Research.

The main topics covered by Zhiting Hu include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Speech and Dialogue Systems
  • Advanced Text Analysis Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Digital Media Forensic Detection

Zhiting Hu has frequently published in several venues, including:

  • arXiv (Cornell University)
  • ACM Computing Surveys
  • Computational Linguistics
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Knowledge-Based Systems

Some of their recent papers include:

  • "A Survey of Knowledge-enhanced Text Generation," 2022, ACM Computing Surveys
  • "Deep Learning for Text Style Transfer: A Survey," 2021, Computational Linguistics
  • "Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation," 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • "Language Models Meet World Models: Embodied Experiences Enhance Language Models," 2023, arXiv (Cornell University)
  • "A Causal Lens for Controllable Text Generation," 2022, arXiv (Cornell University)

Their frequent coauthors include:

  • Eric P. Xing
  • Bowen Tan
  • Zhengzhong Liu
  • Xiaodan Liang
  • Tianhua Tao

Best Publications

  • Toward controlled generation of text

    Zhiting Hu;Zichao Yang;Xiaodan Liang;Ruslan Salakhutdinov

  • Harnessing Deep Neural Networks with Logic Rules

    Zhiting Hu;Xuezhe Ma;Zhengzhong Liu;Eduard H. Hovy

  • Deep Kernel Learning

    Andrew Gordon Wilson;Zhiting Hu;Ruslan Salakhutdinov;Eric P. Xing

  • LCARS: a location-content-aware recommender system

    Hongzhi Yin;Yizhou Sun;Bin Cui;Zhiting Hu

  • Improved variational autoencoders for text modeling using dilated convolutions

    Zichao Yang;Zhiting Hu;Ruslan Salakhutdinov;Taylor Berg-Kirkpatrick

  • Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation

    Christy Y. Li;Xiaodan Liang;Zhiting Hu;Eric P. Xing

  • Poseidon: an efficient communication architecture for distributed deep learning on GPU clusters

    Hao Zhang;Zeyu Zheng;Shizhen Xu;Wei Dai

  • Unsupervised Text Style Transfer using Language Models as Discriminators

    Zichao Yang;Zhiting Hu;Chris Dyer;Eric P. Xing

  • Recurrent Topic-Transition GAN for Visual Paragraph Generation

    Xiaodan Liang;Zhiting Hu;Hao Zhang;Chuang Gan

  • A Survey of Knowledge-Enhanced Text Generation.

    Wenhao Yu;Chenguang Zhu;Zaitang Li;Zhiting Hu

  • Towards Multi-Pose Guided Virtual Try-On Network

    Haoye Dong;Xiaodan Liang;Xiaohui Shen;Bochao Wang

  • Dynamic User Modeling in Social Media Systems

    Hongzhi Yin;Bin Cui;Ling Chen;Zhiting Hu

  • Stochastic variational deep kernel learning

    Andrew Gordon Wilson;Zhiting Hu;Ruslan Salakhutdinov;Eric P. Xing

  • LCARS: A Spatial Item Recommender System

    Hongzhi Yin;Bin Cui;Yizhou Sun;Zhiting Hu

  • A temporal context-aware model for user behavior modeling in social media systems

    Hongzhi Yin;Bin Cui;Ling Chen;Zhiting Hu

  • Modeling Location-Based User Rating Profiles for Personalized Recommendation

    Hongzhi Yin;Bin Cui;Ling Chen;Zhiting Hu

  • Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation

    Yuan Li;Xiaodan Liang;Zhiting Hu;Eric P. Xing

  • Discovering interpretable geo-social communities for user behavior prediction

    Hongzhi Yin;Zhiting Hu;Xiaofang Zhou;Hao Wang

  • Neural Memory Streaming Recommender Networks with Adversarial Training

    Qinyong Wang;Hongzhi Yin;Zhiting Hu;Defu Lian

  • Towards Automated ICD Coding Using Deep Learning.

    Haoran Shi;Pengtao Xie;Zhiting Hu;Ming Zhang

  • Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation

    Christy Y. Li;Xiaodan Liang;Zhiting Hu;Eric P. Xing

  • Deep Learning for Text Style Transfer: A Survey

    Di Jin;Zhijing Jin;Zhiting Hu;Olga Vechtomova

Frequent Co-Authors

Eric P. Xing
Eric P. Xing Mohamed bin Zayed University of Artificial Intelligence
Xiaodan Liang
Xiaodan Liang Sun Yat-sen University
Ruslan Salakhutdinov
Ruslan Salakhutdinov Carnegie Mellon University
Hao Zhang
Hao Zhang Simon Fraser University
Hongzhi Yin
Hongzhi Yin University of Queensland
Andrew Gordon Wilson
Andrew Gordon Wilson New York University
Bin Cui
Bin Cui Peking University
Taylor Berg-Kirkpatrick
Taylor Berg-Kirkpatrick University of California, San Diego
Hai Zhao
Hai Zhao Shanghai Jiao Tong University
Eduard Hovy
Eduard Hovy Carnegie Mellon University

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