Ying Wu

20.0k citations
277 papers · 10.7k indexed · 7 hit papers · h-index 50

Ying Wu

266 papers receiving 10.2k citations

Hit Papers

Semi-Supervised Transfer ...31120032026201020182505007501000

Peers

Ying Wu
Comparison fields: 5 of 169
  • Computer Vision and Pattern Recognition 8.4k
  • Human-Computer Interaction 1.3k
  • Media Technology 888
  • Artificial Intelligence 3.1k
  • Computer Graphics and Computer-Aided Design 242
Replace James M. Rehg with:
James M. Rehg United States
Dahua Lin Hong Kong
Rahul Sukthankar United States
Zicheng Liu United States
Stan Sclaroff United States
Sergio Guadarrama United States
Rita Cucchiara Italy
Junsong Yuan Singapore
Wenjun Zeng China
Honglak Lee United States
Ying Wu relative to James M. Rehg United States James M. Rehg's profile →
Citations per field
00.5×1.5×
James M. Rehg · 1×
Citations per year

Countries citing papers authored by Ying Wu

Since Specialization
Citations

This map shows the geographic impact of Ying Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ying Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Wu more than expected).

Fields of papers citing papers by Ying Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ying Wu. The network helps show where Ying Wu may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ying Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ying Wu Line = papers co-authored together Ying Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20256
3 20241
4 20243
5 20230
6 202211
7 20222
8 202077
9 202026
10
On Path Integration of Grid Cells: Isotropic Metric, Conformal Embedding and Group Representation
20201
11
A Representational Model of Grid Cells Based on Matrix Lie Algebras.
20202
12 201985
13
On Learning Non-Convergent Short-Run MCMC Toward Energy-Based Model.
20193
14
Learning distance for sequences by learning a ground metric
20195
15
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model
201910
16
Contextual flow
200934
17
Modeling Visual Patterns by Intergrating Descriptive and Generative Methods
20021
18
Self-Supervised Learning for Visual Tracking and Recognition of Human Hand
200014
19
Discussion of "The Art of Data Augmentation" by van Dyk and Meng
20001
20
Interactive and Incremental Learning via a Mixture of Supervised and Unsupervised Learning Strategies
20006

About Ying Wu

Ying Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction, having authored 277 papers that have together received 10.7k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (60 papers), Video Surveillance and Tracking Methods (50 papers), Advanced Vision and Imaging (45 papers), Image Retrieval and Classification Techniques (44 papers), Human Pose and Action Recognition (44 papers), Video Analysis and Summarization (24 papers), Generative Adversarial Networks and Image Synthesis (23 papers) and Domain Adaptation and Few-Shot Learning (21 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (8.4k citations), Human-Computer Interaction (1.3k citations) and Media Technology (888 citations). Ying Wu has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Junsong Yuan, Thomas S. Huang, Song‐Chun Zhu, Zicheng Liu, Jiang Wang, Ming Yang, Jiang Wang, Alessandro Chiuso, Gianfranco Doretto and Stefano Soatto. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, Computer Vision and Image Understanding, International Journal of Computer Vision and Physical Review Letters.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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