Dit Yan Yeung

919 citations
27 papers · 371 indexed · h-index 9
Topics
Handwritten Text Recognition Techniques (6 papers)Face and Expression Recognition (6 papers)Neural Networks and Applications (5 papers)
Partner nations
Hong KongChinaSweden

In The Last Decade

Dit Yan Yeung

21 papers receiving 346 citations

Peers

Dit Yan Yeung
Comparison fields: 5 of 57
  • Computer Vision and Pattern Recognition 283
  • Artificial Intelligence 201
  • Biomedical Engineering 53
  • Control and Systems Engineering 40
  • Human-Computer Interaction 40
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Citations per field
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Citations per year

Countries citing papers authored by Dit Yan Yeung

Since Specialization
Citations

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

Fields of papers citing papers by Dit Yan Yeung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dit Yan Yeung. 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 Dit Yan Yeung. The network helps show where Dit Yan Yeung may publish in the future.

Co-authorship network of co-authors of Dit Yan Yeung

This figure shows the co-authorship network connecting the top 25 collaborators of Dit Yan Yeung. A scholar is included among the top collaborators of Dit Yan Yeung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dit Yan Yeung. Dit Yan Yeung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 140
3
Latent Wishart Processes for Relational Kernel Learning
12
4 53
5
Semi-supervised Discriminant Analysis via CCCP
2
6
The kernel path in kernelized LASSO
18
7
Robust locally linear embedding
3
8
Robust path-based clustering for the unsupervised and semi-supervised learning settings
1
9
A novel distance-based classifier using convolution kernels and Euclidean embeddings
1
10
A simple yet robust structural approach for recognizing on-line handwritten alphanumeric characters
3
11
Elastic Structural Matching for On-line Handwritten Alphanumeric Character Recognition
15
12
Elastic structural matching for recognizing on-line handwritten alphanumeric characters
4
13
Chinese glyph generation by heuristic search
2
14
A unified framework for handwritten character recognition using deformable models
3
15
Chinese glyph generation using character composition and beauty evaluation metrics
5
16
Constructive feedforward neural networks for regression problems : a survey
27
17
ASCOC: a recurrent neural network model for grammatical inference
0
18
Theoretical analysis of constructive neural networks
1
19
Using a context-sensitive learning network for robot arm control
22
20
Context-free classification of Mandarin unvoiced initials
1

About Dit Yan Yeung

Dit Yan Yeung is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 27 papers that have together received 371 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (6 papers), Face and Expression Recognition (6 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (283 citations), Human-Computer Interaction (40 citations) and Artificial Intelligence (201 citations). Dit Yan Yeung has collaborated with scholars based in Hong Kong, China and Sweden. Frequent co-authors include Wu-Jun Li, Silvio Savarese, Lin Sun, Bertram E. Shi, Kui Jia, Kevin Chen, Tin-Yau Kwok, George A. Bekey, William K. Cheung and R.T. Chin. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Knowledge and Data Engineering and Lecture notes in computer science.

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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