Mingrui Wu

1.7k citations
24 papers · 931 · h-index 14

Impact in

    • Face and Expression Recognition
    • Advanced Image and Video Retrieval Techniques
    • Image Retrieval and Classification Techniques
    • Anomaly Detection Techniques and Applications
    • Text and Document Classification Technologies
    • Domain Adaptation and Few-Shot Learning

Papers in

Mingrui Wu

23 papers receiving 893 citations

Peers

Mingrui Wu
Comparison fields: 5 of 92
  • Computer Vision and Pattern Recognition 536
  • Artificial Intelligence 547
  • Media Technology 90
  • Computational Mathematics 6
  • Signal Processing 79
Replace Edward W. Wild with:
Edward W. Wild United States
Simon Günter Switzerland
Jingyu Yang China
Bing‐Kun Bao China
Francis R. Bach United States
Guoqing Chao China
Lide Wu China
Mingjing Du China
Jason V. Davis United States
Pak-Ming Cheung Hong Kong
Mingrui Wu relative to Edward W. Wild United States Edward W. Wild's profile →
Citations per field
00.5×1.5×1.9×
Edward W. Wild · 1×
Citations per year

Countries citing papers authored by Mingrui Wu

Since Specialization
Citations

This map shows the geographic impact of Mingrui 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 Mingrui Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingrui Wu more than expected).

Fields of papers citing papers by Mingrui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mingrui 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 Mingrui Wu. The network helps show where Mingrui Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Mingrui 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 Mingrui Wu Line = papers co-authored together Mingrui Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Discriminative K-means for Clustering
2007139
2 2009126
3 2009113
4 2006105
5
Transductive Classification via Local Learning Regularization
200787
6
A Direct Method for Building Sparse Kernel Learning Algorithms
200664
7
Hierarchical Classification via Orthogonal Transfer
201155
8
Collaborative Filtering via Ensembles of Matrix Factorizations
200749
9 202242
10 200731
11 200530
12 201223
13 202320
14 200915
15 200813
16 20214
17
A subspace kernel for nonlinear feature extraction
20074
18 20023
19 20233
20 20242

About Mingrui Wu

Mingrui Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Computational Mechanics, having authored 24 papers that have together received 931 indexed citations. Recurring topics across this work include Face and Expression Recognition (9 papers), Neural Networks and Applications (6 papers), Multimodal Machine Learning Applications (4 papers), Sparse and Compressive Sensing Techniques (3 papers), Machine Learning and ELM (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Recommender Systems and Techniques (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (536 citations), Artificial Intelligence (547 citations), Media Technology (90 citations), Computational Mathematics (6 citations) and Signal Processing (79 citations). Mingrui Wu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jieping Ye, Bernhard Schölkopf, Olivier Chapelle, Zheng Zhao, Gökhan Bakır, Shipeng Yu, Kai Yu, Hans‐Peter Kriegel, Volker Tresp and Lin Xiao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Information Retrieval, Chemical Engineering Journal, Frontiers in Oncology and Array.

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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