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).
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.
Li, Wu-Jun, Zhihua Zhang, & Dit Yan Yeung. (2009). Latent Wishart Processes for Relational Kernel Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5. 336–343.12 indexed citations
Zhang, Yu & Dit Yan Yeung. (2008). Semi-supervised Discriminant Analysis via CCCP. Lecture notes in computer science. 5212. 644.2 indexed citations
6.
Wang, Gang, Dit Yan Yeung, & Frederick H. Lochovsky. (2007). The kernel path in kernelized LASSO. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2. 580–587.18 indexed citations
7.
Chang, Hong & Dit Yan Yeung. (2005). Robust locally linear embedding.3 indexed citations
8.
Chang, Hong & Dit Yan Yeung. (2004). Robust path-based clustering for the unsupervised and semi-supervised learning settings.1 indexed citations
9.
Zhang, Zhihua, et al.. (2002). A novel distance-based classifier using convolution kernels and Euclidean embeddings.1 indexed citations
10.
Chan, Kam-Fai & Dit Yan Yeung. (1998). A simple yet robust structural approach for recognizing on-line handwritten alphanumeric characters.3 indexed citations
11.
Yeung, Dit Yan, et al.. (1998). Elastic Structural Matching for On-line Handwritten Alphanumeric Character Recognition.15 indexed citations
12.
Yeung, Dit Yan, et al.. (1998). Elastic structural matching for recognizing on-line handwritten alphanumeric characters. Rare & Special e-Zone (The Hong Kong University of Science and Technology).4 indexed citations
13.
Yeung, Dit Yan, et al.. (1996). Chinese glyph generation by heuristic search.2 indexed citations
14.
Cheung, William K., Dit Yan Yeung, & R.T. Chin. (1995). A unified framework for handwritten character recognition using deformable models. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 344–348.3 indexed citations
15.
Yeung, Dit Yan, et al.. (1995). Chinese glyph generation using character composition and beauty evaluation metrics. Rare & Special e-Zone (The Hong Kong University of Science and Technology).5 indexed citations
16.
Kwok, Tin-Yau & Dit Yan Yeung. (1995). Constructive feedforward neural networks for regression problems : a survey.27 indexed citations
17.
Yeung, Dit Yan, et al.. (1994). ASCOC: a recurrent neural network model for grammatical inference.
18.
Yeung, Dit Yan, et al.. (1993). Theoretical analysis of constructive neural networks.1 indexed citations
19.
Yeung, Dit Yan & George A. Bekey. (1989). Using a context-sensitive learning network for robot arm control. International Conference on Robotics and Automation. 1441.22 indexed citations
20.
Chan, Chorkin & Dit Yan Yeung. (1987). Context-free classification of Mandarin unvoiced initials. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3(2). 66.1 indexed citations
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.