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Computer Science
China
2023

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
74
Citations
22086
World Ranking
712
National Ranking
315

Computer Science

D-Index
73
Citations
23179
World Ranking
1578
National Ranking
824

Ying Wu publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Ying Wu sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 340 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Ying Wu D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Ying Wu sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 74 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2023 - Research.com Computer Science in China Leader Award
  • 2020 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to visual motion and pattern analysis in computer vision

Overview

Ying Wu is affiliated with Northwestern University in the United States and has contributed extensively to the field of Computer Science, publishing 224 works. Their research primarily focuses on Artificial Intelligence, Computer Vision and Pattern Recognition, Atomic and Molecular Physics and Optics, Oceanography, and Electrical and Electronic Engineering.

The scientist's main subfields of study include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Atomic and Molecular Physics, and Optics
  • Oceanography
  • Electrical and Electronic Engineering

The topics covered in Ying Wu's research encompass:

  • Domain Adaptation and Few-Shot Learning
  • Generative Adversarial Networks and Image Synthesis
  • Topic Modeling
  • Advanced Image and Video Retrieval Techniques
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Anomaly Detection Techniques and Applications

Ying Wu has published in numerous venues, with the most frequent including:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Physical Review Letters
  • Frontiers in Marine Science

Recent notable publications by Ying Wu feature a range of topics and venues:

  • "Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense" (2020, Engineering)
  • "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models" (2023, arXiv (Cornell University))
  • "Transform-Retrieve-Generate: Natural Language-Centric Outside-Knowledge Visual Question Answering" (2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR))
  • "Interpretable CNNs for Object Classification" (2020, IEEE Transactions on Pattern Analysis and Machine Intelligence)
  • "Collective radiance of giant atoms in non-Markovian regime" (2023, Science China Physics Mechanics and Astronomy)

Their frequent co-authors include Song-Chun Zhu, Jianwen Xie, Ruiqi Gao, Bo Pang, and Erik Nijkamp.

In recognition of contributions to visual motion and pattern analysis in computer vision, Ying Wu was awarded the title of Fellow of the International Association for Pattern Recognition (IAPR) in 2020.

Best Publications

  • Mining actionlet ensemble for action recognition with depth cameras

    Jiang Wang;Zicheng Liu;Ying Wu;Junsong Yuan

  • Learning Fine-Grained Image Similarity with Deep Ranking

    Jiang Wang;Yang Song;Thomas Leung;Chuck Rosenberg

  • A unified approach to salient object detection via low rank matrix recovery

    Xiaohui Shen;Ying Wu

  • Hand modeling, analysis and recognition

    Ying Wu;T.S. Huang

  • Vision-Based Gesture Recognition: A Review

    Ying Wu;Thomas S. Huang

  • Cross-View Action Modeling, Learning, and Recognition

    Jiang Wang;Xiaohan Nie;Yin Xia;Ying Wu

  • Learning Actionlet Ensemble for 3D Human Action Recognition

    Jiang Wang;Zicheng Liu;Ying Wu;Junsong Yuan

  • Robust 3D Action Recognition with Random Occupancy Patterns

    Jiang Wang;Zicheng Liu;Jan Chorowski;Zhuoyuan Chen

  • Semi-Supervised Transfer Learning for Image Rain Removal

    Wei Wei;Deyu Meng;Qian Zhao;Zongben Xu

  • Human Tracking Using Convolutional Neural Networks

    Jialue Fan;Wei Xu;Ying Wu;Yihong Gong

  • Analyzing and capturing articulated hand motion in image sequences

    Ying Wu;J. Lin;T.S. Huang

  • Modeling the constraints of human hand motion

    John Lin;Ying Wu;T.S. Huang

  • SoftCuts: A Soft Edge Smoothness Prior for Color Image Super-Resolution

    Shengyang Dai;Mei Han;Wei Xu;Ying Wu

  • Discriminative subvolume search for efficient action detection

    Junsong Yuan;Zicheng Liu;Ying Wu

  • The metabolic ER stress sensor IRE1α suppresses alternative activation of macrophages and impairs energy expenditure in obesity

    Bo Shan;Xiaoxia Wang;Ying Wu;Chi Xu

  • Capturing natural hand articulation

    Ying Wu;J.Y. Lin;T.S. Huang

  • Soft Edge Smoothness Prior for Alpha Channel Super Resolution

    Shengyang Dai;Mei Han;Wei Xu;Ying Wu

  • Discovery of Collocation Patterns: from Visual Words to Visual Phrases

    Junsong Yuan;Ying Wu;Ming Yang

  • Context-Aware Visual Tracking

    Ming Yang;Ying Wu;Gang Hua

  • Discriminant-EM algorithm with application to image retrieval

    Y. Wu;Q. Tian;T.S. Huang

Frequent Co-Authors

Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Junsong Yuan
Junsong Yuan University at Buffalo, State University of New York
Gang Hua
Gang Hua Dolby (United States)
Xiaohui Shen
Xiaohui Shen ByteDance
Zicheng Liu
Zicheng Liu Microsoft (United States)
Aggelos K. Katsaggelos
Aggelos K. Katsaggelos Northwestern University
Zhengyou Zhang
Zhengyou Zhang Tencent (China)
Qi Tian
Qi Tian Huawei Technologies (China)
Yun Fu
Yun Fu Northeastern University
Jie Zhou
Jie Zhou Tsinghua University

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