S.Z. Li

1.0k total citations
12 papers, 667 citations indexed

About

S.Z. Li is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, S.Z. Li has authored 12 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 2 papers in Computational Mechanics and 2 papers in Artificial Intelligence. Recurrent topics in S.Z. Li's work include Image Retrieval and Classification Techniques (4 papers), Medical Image Segmentation Techniques (4 papers) and Face and Expression Recognition (3 papers). S.Z. Li is often cited by papers focused on Image Retrieval and Classification Techniques (4 papers), Medical Image Segmentation Techniques (4 papers) and Face and Expression Recognition (3 papers). S.Z. Li collaborates with scholars based in Singapore, China and United Kingdom. S.Z. Li's co-authors include K.L. Chan, Guodong Guo, Han Wang, Juwei Lu, Eam Khwang Teoh, Zhong Xue, M. Petrou and Shuchai Su and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and IEEE Transactions on Neural Networks.

In The Last Decade

S.Z. Li

12 papers receiving 594 citations

Peers

Countries citing papers authored by S.Z. Li

Since Specialization

Citations

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

Fields of papers citing papers by S.Z. Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.Z. Li. 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 S.Z. Li. The network helps show where S.Z. Li may publish in the future.

Co-authorship network of co-authors of S.Z. Li

This figure shows the co-authorship network connecting the top 25 collaborators of S.Z. Li. A scholar is included among the top collaborators of S.Z. Li 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 S.Z. Li. S.Z. Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

#	Title	Journal	Authors	Indexed citations
1	Combine histogram intersection kernel with linear kernel for pedestrian classification		S.Z. Li, Shuchai Su et al.	1
2	Facial feature extraction and image warping using PCA based statistic model		Zhong Xue, S.Z. Li et al.	10
3	Face recognition by support vector machines		Guodong Guo, S.Z. Li et al.	329
4	Face recognition based on nearest linear combinations		S.Z. Li	68
5	Relaxation labeling of Markov random fields		S.Z. Li, Han Wang et al.	10
6	Efficient object matching using affine-invariant deformable contour		Zhong Xue, S.Z. Li et al.	2
7	Modeling Bayesian estimation for deformable contours		S.Z. Li, Juwei Lu	12
8	Close-form solution and parameter selection for convex minimization-based edge-preserving smoothing	IEEE Transactions on Pattern Analysis and Machine Intelligence	S.Z. Li	37
9	Improving convergence and solution quality of Hopfield-type neural networks with augmented Lagrange multipliers	IEEE Transactions on Neural Networks	S.Z. Li	46
10	Robustizing robust M-estimation using deterministic annealing	Pattern Recognition	S.Z. Li	35
11	Bayesian image restoration and segmentation by constrained optimization		S.Z. Li, K.L. Chan et al.	10
12	On discontinuity-adaptive smoothness priors in computer vision	IEEE Transactions on Pattern Analysis and Machine Intelligence	S.Z. Li	107

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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