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D-Index
37
Citations
6817
World Ranking
754
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125

Computer Science

D-Index
37
Citations
7225
World Ranking
10595
National Ranking
4437

Nicholas Jing Yuan 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 Nicholas Jing Yuan 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: 64 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

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

Nicholas Jing Yuan 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 Nicholas Jing Yuan 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: 37 D-Index — 27th percentile

27% 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

Nicholas Jing Yuan is affiliated with Microsoft in the United States. Their research focuses on computer science, with significant contributions in artificial intelligence and computer vision and pattern recognition. Their work also spans related areas including signal processing, management science and operations research, and human-computer interaction.

The scientist has an extensive publication record predominantly in the field of computer science, covering major topics such as:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Data Quality and Management
  • Advanced Graph Neural Networks
  • Handwritten Text Recognition Techniques
  • Generative Adversarial Networks and Image Synthesis

They have published 88 works in total, with many featured in leading venues. Prominent publication outlets include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Recent papers exemplify a focus on multimodal data and pattern recognition technologies. These include:

  • "Multi-Modal Knowledge Graph Construction and Application: A Survey" (2022) published in IEEE Transactions on Knowledge and Data Engineering
  • "SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition" (2022) presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Multi-modal Siamese Network for Entity Alignment" (2022) published in the Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • "Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminator" (2022) presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognition" (2022) published in Findings of the Association for Computational Linguistics: NAACL 2022

The scientist frequently collaborates with peers in their research. Notable frequent co-authors include:

  • Baoxing Huai
  • Xiaoye Qu
  • Zhefeng Wang
  • Zhicheng Wei
  • Zhou Zhao

Best Publications

  • Collaborative Knowledge Base Embedding for Recommender Systems

    Fuzheng Zhang;Nicholas Jing Yuan;Defu Lian;Xing Xie

  • DRN: A Deep Reinforcement Learning Framework for News Recommendation

    Guanjie Zheng;Fuzheng Zhang;Zihan Zheng;Yang Xiang

  • T-Finder: A Recommender System for Finding Passengers and Vacant Taxis

    N. J. Yuan;Yu Zheng;Liuhang Zhang;Xing Xie

  • Discovering Urban Functional ZonesUsing Latent Activity Trajectories

    Nicholas Jing Yuan;Yu Zheng;Xing Xie;Yingzi Wang

  • Online Discovery of Gathering Patterns over Trajectories

    Kai Zheng;Yu Zheng;Nicholas Jing Yuan;Shuo Shang

  • On discovery of gathering patterns from trajectories

    Kai Zheng;Yu Zheng;N. J. Yuan;Shuo Shang

  • Towards efficient search for activity trajectories

    Kai Zheng;Shuo Shang;N. J. Yuan;Yi Yang

  • You Are Where You Go: Inferring Demographic Attributes from Location Check-ins

    Yuan Zhong;Nicholas Jing Yuan;Wen Zhong;Fuzheng Zhang

  • Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data

    Yingzi Wang;Nicholas Jing Yuan;Defu Lian;Linli Xu

  • MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation

    Unknown

  • We know how you live: exploring the spectrum of urban lifestyles

    Nicholas Jing Yuan;Fuzheng Zhang;Defu Lian;Kai Zheng

  • Beyond the Words: Predicting User Personality from Heterogeneous Information

    Honghao Wei;Fuzheng Zhang;Nicholas Jing Yuan;Chuan Cao

  • Content-Aware Collaborative Filtering for Location Recommendation Based on Human Mobility Data

    Defu Lian;Yong Ge;Fuzheng Zhang;Nicholas Jing Yuan

  • CEPR: A Collaborative Exploration and Periodically Returning Model for Location Prediction

    Defu Lian;Xing Xie;Vincent W. Zheng;Nicholas Jing Yuan

  • Approximate keyword search in semantic trajectory database

    Bolong Zheng;Nicholas Jing Yuan;Kai Zheng;Xing Xie

  • An Influence Propagation View of PageRank

    Qi Liu;Biao Xiang;Nicholas Jing Yuan;Enhong Chen

  • Scalable Content-Aware Collaborative Filtering for Location Recommendation

    Defu Lian;Yong Ge;Fuzheng Zhang;Nicholas Jing Yuan

  • Segmentation of Urban Areas Using Road Networks

    Nicholas Jing Yuan;Yu Zheng;Xing Xie

  • BERT-MK: Integrating Graph Contextualized Knowledge into Pre-trained Language Models

    Bin He;Di Zhou;Jinghui Xiao;Xin Jiang

  • Intelligent bus routing with heterogeneous human mobility patterns

    Yanchi Liu;Chuanren Liu;Nicholas Jing Yuan;Lian Duan

  • Sensing the Pulse of Urban Refueling Behavior: A Perspective from Taxi Mobility

    Fuzheng Zhang;Nicholas Jing Yuan;David Wilkie;Yu Zheng

  • XiaoIce Band: A Melody and Arrangement Generation Framework for Pop Music

    Hongyuan Zhu;Qi Liu;Nicholas Jing Yuan;Chuan Qin

Frequent Co-Authors

Xing Xie
Xing Xie Microsoft Research Asia (China)
Defu Lian
Defu Lian University of Science and Technology of China
Yu Zheng
Yu Zheng Jingdong (China)
Enhong Chen
Enhong Chen University of Science and Technology of China
Yong Rui
Yong Rui Lenovo (China)
Hui Xiong
Hui Xiong Rutgers, The State University of New Jersey
Tao Zhou
Tao Zhou University of Electronic Science and Technology of China
Xiaofang Zhou
Xiaofang Zhou Hong Kong University of Science and Technology
Yong Ge
Yong Ge University of Arizona
Rui Zhang
Rui Zhang National University of Singapore

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