World's Best Scientists 2026 revealed!
Yu-Chiang Frank Wang

Yu-Chiang Frank Wang

D-Index & Metrics

Computer Science

D-Index
45
Citations
8972
World Ranking
7159
National Ranking
64

Yu-Chiang Frank Wang 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-Chiang Frank Wang 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: 182 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Yu-Chiang Frank Wang 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-Chiang Frank Wang 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Yu-Chiang Frank Wang is affiliated with National Taiwan University in Taiwan and specializes in computer science with a focus on several subfields.

The scientist's main subfields of study include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Signal Processing
  • Computational Mechanics
  • Computer Graphics and Computer-Aided Design

Their research covers various topics related to computer science, specifically:

  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • 3D Shape Modeling and Analysis
  • Computer Graphics and Visualization Techniques
  • Advanced Neural Network Applications
  • Speech and Audio Processing
  • Generative Adversarial Networks and Image Synthesis

Recent publications by Yu-Chiang Frank Wang include:

  • Learning of 3D Graph Convolution Networks for Point Cloud Analysis, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis, 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • DoRA: Weight-Decomposed Low-Rank Adaptation, 2024, arXiv (Cornell University)
  • NeurMiPs: Neural Mixture of Planar Experts for View Synthesis, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Semantics-Guided Intra-Category Knowledge Transfer for Generalized Zero-Shot Learning, 2023, International Journal of Computer Vision

The scientist frequently publishes in the following venues:

  • 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 Image Processing
  • 2022 IEEE International Conference on Multimedia and Expo (ICME)

Collaborations have been recorded with coauthors such as:

  • Fu-En Yang
  • Ci-Siang Lin
  • Chi-Pin Huang
  • Szu-Wei Fu
  • Ryo Hachiuma

Best Publications

  • A Closer Look at Few-shot Classification

    Wei-Yu Chen;Yen-Cheng Liu;Zsolt Kira;Yu-Chiang Frank Wang

  • No More Discrimination: Cross City Adaptation of Road Scene Segmenters

    Yi-Hsin Chen;Wei-Yu Chen;Yu-Ting Chen;Bo-Cheng Tsai

  • Multi-label Zero-Shot Learning with Structured Knowledge Graphs

    Chung-Wei Lee;Wei Fang;Chih-Kuan Yeh;Yu-Chiang Frank Wang

  • Learning Deep Latent Space for Multi-Label Classification

    Chih-Kuan Yeh;Wei-Chieh Wu;Wei-Jen Ko;Yu-Chiang Frank Wang

  • Anomaly Detection via Online Oversampling Principal Component Analysis

    Yuh-Jye Lee;Yi-Ren Yeh;Yu-Chiang Frank Wang

  • Self-Learning Based Image Decomposition With Applications to Single Image Denoising

    De-An Huang;Li-Wei Kang;Yu-Chiang Frank Wang;Chia-Wen Lin

  • Low-rank matrix recovery with structural incoherence for robust face recognition

    Chih-Fan Chen;Chia-Po Wei;Yu-Chiang Frank Wang

  • Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation

    Po-Yi Chen;Alexander H. Liu;Yen-Cheng Liu;Yu-Chiang Frank Wang

  • Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis

    Zhi-Hao Lin;Sheng-Yu Huang;Yu-Chiang Frank Wang

  • Cross-Dataset Person Re-Identification via Unsupervised Pose Disentanglement and Adaptation

    Yu-Jhe Li;Ci-Siang Lin;Yan-Bo Lin;Yu-Chiang Frank Wang

  • Exploring Visual and Motion Saliency for Automatic Video Object Extraction

    Wei-Te Li;Haw-Shiuan Chang;Kuo-Chin Lien;Hui-Tang Chang

  • Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation

    Yao-Hung Hubert Tsai;Yi-Ren Yeh;Yu-Chiang Frank Wang

  • Coupled Dictionary and Feature Space Learning with Applications to Cross-Domain Image Synthesis and Recognition

    De-An Huang;Yu-Chiang Frank Wang

  • A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation

    Alexander H. Liu;Yen-Cheng Liu;Yu-Ying Yeh;Yu-Chiang Frank Wang

  • Order-Free RNN With Visual Attention for Multi-Label Classification

    Shang-Fu Chen;Yi-Chen Chen;Chih-Kuan Yeh;Yu-Chiang Frank Wang

  • System and method for decentralized title recordation and authentication

    Sean Moss-Pultz;Casey Alt;Christopher Hall;Le Quy Quoc Cuong

  • A Self-Learning Approach to Single Image Super-Resolution

    Min-Chun Yang;Yu-Chiang Frank Wang

  • Heterogeneous Domain Adaptation and Classification by Exploiting the Correlation Subspace

    Yi-Ren Yeh;Chun-Hao Huang;Yu-Chiang Frank Wang

  • Context-Aware Single Image Rain Removal

    De-An Huang;Li-Wei Kang;Min-Chun Yang;Chia-Wen Lin

  • Unsupervised Domain Adaptation With Label and Structural Consistency

    Cheng-An Hou;Yao-Hung Hubert Tsai;Yi-Ren Yeh;Yu-Chiang Frank Wang

  • Learning Deep Latent Spaces for Multi-Label Classification.

    Chih-Kuan Yeh;Wei-Chieh Wu;Wei-Jen Ko;Yu-Chiang Frank Wang

Frequent Co-Authors

David Casasent
David Casasent Carnegie Mellon University
Shao-Yi Chien
Shao-Yi Chien National Taiwan University
Ming-Syan Chen
Ming-Syan Chen National Taiwan University
Yen-Yu Lin
Yen-Yu Lin National Yang Ming Chiao Tung University
Chu-Song Chen
Chu-Song Chen National Taiwan University
Chin-Laung Lei
Chin-Laung Lei National Taiwan University
Jia-Bin Huang
Jia-Bin Huang University of Maryland, College Park
Min Sun
Min Sun National Tsing Hua University
Chia-Wen Lin
Chia-Wen Lin National Tsing Hua University
Hong-Yuan Mark Liao
Hong-Yuan Mark Liao Academia Sinica

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